In [7]:
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0,10,401)
y = np.sin(x) * np.cos(x) * x
plt.plot(x,y)
plt.savefig("c:/temp/fig.png")
plt.show()
# Ctrl+Enter - wysyla komorke do uruchomienia
print("Hello SGH")
Hello SGH
Lista
element 2
### Tytul
kod zrodlowy# tworzy komorke kodu (code cell)
# wcisnij Ctrl+ENTER aby uruchomic
for i in [1,2,3]:
print("hello ", i)
print("ja jestem w bloku")
print("a ja poza blokiem")
hello 1 ja jestem w bloku hello 2 ja jestem w bloku hello 3 ja jestem w bloku a ja poza blokiem
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0,10,401)
y = np.sin(x) * np.cos(x) * x
plt.plot(x,y)
plt.savefig("c:/temp/fig.png")
plt.show()
import numpy as np
x = np.linspace(0,10,401)
type(x)
numpy.ndarray
x = 5
print("type(x) ",type(x))
y = 5.5
print("type(y) ",type(y))
z = "ala"
print("type(z) ",type(z))
li = [1,2,3]
print("type(li) ",type(li))
kro = (1,2)
print("type(kro) ",type(kro))
slow = {1:2, 3:4}
print("type(slow) ",type(slow))
xx = np.linspace(0,10,401)
print("type(xx) ",type(xx))
type(x) <class 'int'> type(y) <class 'float'> type(z) <class 'str'> type(li) <class 'list'> type(kro) <class 'tuple'> type(slow) <class 'dict'> type(xx) <class 'numpy.ndarray'>
t1 = "tekst a"
t2 = 'tekst b'
nowa_linia = "\r\n"
tabulacja = "\t"
t3 = t1+"\r\n"+t2+"\t\t"+"hello"
print(t3)
print("znak slash piszemy tak: \\" )
tekst a tekst b hello znak slash piszemy tak: \
a = "ala ma kota"
a[0]
'a'
# 3:5 znaczy - od (3+1)=4 znaku do (5+1)=6 znaku ale bez ostatniego znaku
# czyli dostane znaki 4 i 5
# od (3+1)=4 znaku wez (5-3)=2 znaki
a[ 3:5 ]
' m'
a[-4:]
'kota'
moj_tekst = "ala ma kota"
print(moj_tekst[0:2])
print(moj_tekst[2:5])
al a m
"Ala" + "PIes"
'AlaPIes'
"ala" + str(5)
'ala5'
print("SGH"*5)
SGHSGHSGHSGHSGH
lista1 = [1,2,5]
lista2 = [1,2,"ala"]
lista3 = [lista1, lista2, [1,2,3], "ala"]
print(lista3)
[[1, 2, 5], [1, 2, 'ala'], [1, 2, 3], 'ala']
lista = [10,20,30,40,50,60]
# no el 0 1 2 3 4 5
lista.append(70)
print(lista)
[10, 20, 30, 40, 50, 60, 70]
print(lista[:3])
[10, 20, 30]
print("trzeci elementy od konca ",lista[-3])
print("od czwartego do drugiego od konca ",lista[-4:-1])
print("dwa ostanie elementy ",lista[-2:len(lista)])
print("dwa ostanie elementy ",lista[-2:7])
print("dwa ostanie elementy ",lista[-2:])
print(lista[1:4]) # zostana zwrocone (4-1)=3 elementy
trzeci elementy od konca 50 od czwartego do drugiego od konca [40, 50, 60] dwa ostanie elementy [60, 70] dwa ostanie elementy [60, 70] dwa ostanie elementy [60, 70] [20, 30, 40]
[1, 2, 3] + [4 , 5]
[1, 2, 3, 4, 5]
["ala", 5] * 3
['ala', 5, 'ala', 5, 'ala', 5]
print([1,2,3]+[4,5,6])
print([1,2]*2+[3,4])
[1, 2, 3, 4, 5, 6] [1, 2, 1, 2, 3, 4]
lista = [1,2,3]
lista[2] = 77 # listy sa mutowalne (mutable)
print(lista)
[1, 2, 77]
krotka = (1,2,3,4,5,6,7)
try:
krotka[1] = 11
except Exception as err:
print("BLAD!! nie mozna modyfikowac (mutowac) krotki!")
print(err)
print("HELLO")
BLAD!! nie mozna modyfikowac (mutowac) krotki! 'tuple' object does not support item assignment HELLO
krotka[-2:]
# ang.: tuple pl.: krotka
(6, 7)
slow = { 1:4, (2,3):44, "ala":"kot", 3:[1,2,3] }
slow.keys()
dict_keys([1, (2, 3), 'ala', 3])
slow["ala"]
'kot'
try:
slow = { [1,3]:"ala" }
except Exception as err:
print("BLAD!! listy sa mutowalne i nie moga byc kluczami")
print(err)
BLAD!! listy sa mutowalne i nie moga byc kluczami unhashable type: 'list'
print(slow["ala"])
print(slow[(2,3)])
print(slow[3])
kot 44 [1, 2, 3]
a= [ x**2 for x in [3,4,5,6,7,8,9,10,11,12] if x % 2 == 1 ]
type(a)
list
# comprehension
c = [ x*x for x in [1,2,3,4,5] ]
print(c)
print(type(c))
# leniwa lista
c2 = ( x*x for x in [1,2,3,4,5] )
print(list(c2))
print(type(c2))
[1, 4, 9, 16, 25] <class 'list'> [1, 4, 9, 16, 25] <class 'generator'>
for i in range(1,10):
print(i)
1 2 3 4 5 6 7 8 9
print(range(10))
print(list(range(10)))
print(type(range(10)))
range(0, 10) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] <class 'range'>
g = (x*x for x in range(10000000000))
for e in g:
print(e)
if e > 80:
break
0 1 4 9 16 25 36 49 64 81
tm = { (a,b):a*b for a in [1,2,3] for b in [2,3,4] }
tm
{(1, 2): 2,
(1, 3): 3,
(1, 4): 4,
(2, 2): 4,
(2, 3): 6,
(2, 4): 8,
(3, 2): 6,
(3, 3): 9,
(3, 4): 12}
tm = { (x,y):x*y for x in range(1,11) if x % 3 == 0
for y in range(1,11) if y % 3 == 0 }
print(tm)
#print(tm[(7,8)])$
{(3, 3): 9, (3, 6): 18, (3, 9): 27, (6, 3): 18, (6, 6): 36, (6, 9): 54, (9, 3): 27, (9, 6): 54, (9, 9): 81}
#del tm[(7,8)] # usuwanie elementu
len(tm)
9
#kwadraty parzystych liczb n
k = [n*n for n in range(100) if n % 2 == 0]
print(k)
[0, 4, 16, 36, 64, 100, 144, 196, 256, 324, 400, 484, 576, 676, 784, 900, 1024, 1156, 1296, 1444, 1600, 1764, 1936, 2116, 2304, 2500, 2704, 2916, 3136, 3364, 3600, 3844, 4096, 4356, 4624, 4900, 5184, 5476, 5776, 6084, 6400, 6724, 7056, 7396, 7744, 8100, 8464, 8836, 9216, 9604]
def silnia(n):
if n == 0:
return 1
else:
return n*silnia(n-1)
silnia(5)
120
silnia(500)
1220136825991110068701238785423046926253574342803192842192413588385845373153881997605496447502203281863013616477148203584163378722078177200480785205159329285477907571939330603772960859086270429174547882424912726344305670173270769461062802310452644218878789465754777149863494367781037644274033827365397471386477878495438489595537537990423241061271326984327745715546309977202781014561081188373709531016356324432987029563896628911658974769572087926928871281780070265174507768410719624390394322536422605234945850129918571501248706961568141625359056693423813008856249246891564126775654481886506593847951775360894005745238940335798476363944905313062323749066445048824665075946735862074637925184200459369692981022263971952597190945217823331756934581508552332820762820023402626907898342451712006207714640979456116127629145951237229913340169552363850942885592018727433795173014586357570828355780158735432768888680120399882384702151467605445407663535984174430480128938313896881639487469658817504506926365338175055478128640000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
def f1 (x):
return x*x-x-2
print(f1(10))
print(type(f1))
f2 = f1
print(f2(10))
xx = 5
f1(xx)
f1(5)
88 <class 'function'> 88
18
f3 = (lambda x : x*x + 2*x)
f3
<function __main__.<lambda>(x)>
(lambda x : x*x + 2*x)(40)
1680
u = [-3, -4, 1, 6, 7]
sorted(u, key = lambda x : abs(x))
[1, -3, -4, 6, 7]
print( sorted(u,key=lambda x : x*x ))
[1, -3, -4, 6, 7]
def pochodna(f):
h = 0.000000001
f1 = lambda x : (f(x+h)-f(x))/h
return f1
def funk1 (x):
return x*x+3
funk2 = lambda x : 2*x*x+x-1
print(pochodna(funk1)(5))
print(pochodna(funk2)(3))
10.00000082740371 13.000001075624823
import boto.ec2
conn = boto.ec2.connect_to_region("us-east-1",
aws_access_key_id='AKIAJGBLCUFPEHFLTPGQ',
aws_secret_access_key=
'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')
print(conn)
2023-03-04 14:36:35 [boto] DEBUG: Using access key provided by client. 2023-03-04 14:36:35 [boto] DEBUG: Using secret key provided by client.
EC2Connection:ec2.us-east-1.amazonaws.com
history = conn.get_spot_price_history(
instance_type="c6i.4xlarge",
product_description="Linux/UNIX",
availability_zone="us-east-1c")
print(history[:5])
2023-03-04 14:36:39 [boto] DEBUG: Method: POST
2023-03-04 14:36:39 [boto] DEBUG: Path: /
2023-03-04 14:36:39 [boto] DEBUG: Data:
2023-03-04 14:36:39 [boto] DEBUG: Headers: {}
2023-03-04 14:36:39 [boto] DEBUG: Host: ec2.us-east-1.amazonaws.com
2023-03-04 14:36:39 [boto] DEBUG: Port: 443
2023-03-04 14:36:39 [boto] DEBUG: Params: {'InstanceType': 'c6i.4xlarge', 'ProductDescription': 'Linux/UNIX', 'AvailabilityZone': 'us-east-1c', 'Action': 'DescribeSpotPriceHistory', 'Version': '2014-10-01'}
2023-03-04 14:36:39 [boto] DEBUG: establishing HTTPS connection: host=ec2.us-east-1.amazonaws.com, kwargs={'timeout': 70, 'port': 443}
2023-03-04 14:36:39 [boto] DEBUG: Token: None
2023-03-04 14:36:39 [boto] DEBUG: CanonicalRequest:
POST
/
host:ec2.us-east-1.amazonaws.com
x-amz-date:20230304T133639Z
host;x-amz-date
8cdcf357a02cfad7932066eb633982d00ddbdb36e580f471ee55e9d4591a2acf
2023-03-04 14:36:39 [boto] DEBUG: StringToSign:
AWS4-HMAC-SHA256
20230304T133639Z
20230304/us-east-1/ec2/aws4_request
e96baff5324961ed313dc9585027e9dcdf8e36ba372594d19474259b09dcabcf
2023-03-04 14:36:39 [boto] DEBUG: Signature:
6490a4c37cc5a20e029bdfda8592c5f430c3fe5cd3156782f627b2a9592eb72c
2023-03-04 14:36:39 [boto] DEBUG: Final headers: {'User-Agent': 'Boto/2.49.0 Python/3.9.12 Windows/10', 'X-Amz-Date': '20230304T133639Z', 'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8', 'Content-Length': '135', 'Authorization': 'AWS4-HMAC-SHA256 Credential=AKIAJGBLCUFPEHFLTPGQ/20230304/us-east-1/ec2/aws4_request,SignedHeaders=host;x-amz-date,Signature=6490a4c37cc5a20e029bdfda8592c5f430c3fe5cd3156782f627b2a9592eb72c', 'Host': 'ec2.us-east-1.amazonaws.com'}
2023-03-04 14:36:39 [boto] DEBUG: wrapping ssl socket; CA certificate file=C:\Anaconda3\lib\site-packages\boto\cacerts\cacerts.txt
2023-03-04 14:36:39 [boto] DEBUG: validating server certificate: hostname=ec2.us-east-1.amazonaws.com, certificate hosts=['ec2.us-east-1.amazonaws.com', 'ec2.amazonaws.com', 'us-east-1.ec2.amazonaws.com', '*.ec2.us-east-1.vpce.amazonaws.com', 'api.ec2.us-east-1.aws', 'ec2.us-east-1.api.aws']
2023-03-04 14:36:40 [boto] DEBUG: Response headers: [('x-amzn-RequestId', '1c2eb9b6-bf8c-4cb9-993d-3127ffdf4f96'), ('Cache-Control', 'no-cache, no-store'), ('Strict-Transport-Security', 'max-age=31536000; includeSubDomains'), ('vary', 'accept-encoding'), ('Content-Type', 'text/xml;charset=UTF-8'), ('Transfer-Encoding', 'chunked'), ('Date', 'Sat, 04 Mar 2023 13:36:40 GMT'), ('Server', 'AmazonEC2')]
2023-03-04 14:36:41 [boto] DEBUG: b'<?xml version="1.0" encoding="UTF-8"?>\n<DescribeSpotPriceHistoryResponse xmlns="http://ec2.amazonaws.com/doc/2014-10-01/">\n <requestId>1c2eb9b6-bf8c-4cb9-993d-3127ffdf4f96</requestId>\n <spotPriceHistorySet>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.298100</spotPrice>\n <timestamp>2023-03-04T09:06:32.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.297800</spotPrice>\n <timestamp>2023-03-04T02:51:27.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.296300</spotPrice>\n <timestamp>2023-03-03T19:21:33.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.295800</spotPrice>\n <timestamp>2023-03-03T13:05:04.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.295400</spotPrice>\n <timestamp>2023-03-03T05:46:45.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.295500</spotPrice>\n <timestamp>2023-03-02T16:19:07.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.294800</spotPrice>\n <timestamp>2023-03-02T09:47:34.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.295300</spotPrice>\n <timestamp>2023-03-02T03:15:07.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.296100</spotPrice>\n <timestamp>2023-03-01T19:53:26.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.296300</spotPrice>\n <timestamp>2023-03-01T00:56:24.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.297400</spotPrice>\n <timestamp>2023-02-28T18:39:14.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.287100</spotPrice>\n <timestamp>2023-02-28T12:49:53.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.287000</spotPrice>\n <timestamp>2023-02-28T07:28:44.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286300</spotPrice>\n <timestamp>2023-02-27T23:55:12.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286200</spotPrice>\n <timestamp>2023-02-27T17:00:29.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.284900</spotPrice>\n <timestamp>2023-02-27T10:35:01.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.285800</spotPrice>\n <timestamp>2023-02-27T03:52:50.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286400</spotPrice>\n <timestamp>2023-02-26T21:45:31.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286900</spotPrice>\n <timestamp>2023-02-26T17:10:11.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286500</spotPrice>\n <timestamp>2023-02-26T10:28:11.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286800</spotPrice>\n <timestamp>2023-02-26T05:18:01.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286400</spotPrice>\n <timestamp>2023-02-25T22:13:11.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286200</spotPrice>\n <timestamp>2023-02-25T17:20:11.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286600</spotPrice>\n <timestamp>2023-02-25T10:54:55.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286800</spotPrice>\n <timestamp>2023-02-25T04:49:03.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286400</spotPrice>\n <timestamp>2023-02-24T23:27:57.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.286300</spotPrice>\n <timestamp>2023-02-24T18:35:02.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.285500</spotPrice>\n <timestamp>2023-02-24T07:34:47.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.285800</spotPrice>\n <timestamp>2023-02-24T02:12:57.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.285600</spotPrice>\n <timestamp>2023-02-23T19:19:13.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.284500</spotPrice>\n <timestamp>2023-02-23T12:35:11.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.284000</spotPrice>\n <timestamp>2023-02-23T07:16:45.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.283400</spotPrice>\n <timestamp>2023-02-23T01:20:19.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.283700</spotPrice>\n <timestamp>2023-02-22T20:18:14.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.283200</spotPrice>\n <timestamp>2023-02-22T14:01:24.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n 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<item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.278200</spotPrice>\n <timestamp>2023-01-05T14:34:22.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.278000</spotPrice>\n <timestamp>2023-01-05T08:36:14.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.277600</spotPrice>\n <timestamp>2023-01-05T01:25:25.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.277400</spotPrice>\n <timestamp>2023-01-04T18:52:27.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.277500</spotPrice>\n <timestamp>2023-01-04T08:04:50.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.277600</spotPrice>\n <timestamp>2023-01-04T03:05:44.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.277900</spotPrice>\n <timestamp>2023-01-03T21:58:08.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.278400</spotPrice>\n <timestamp>2023-01-03T15:24:37.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n <item>\n <instanceType>c6i.4xlarge</instanceType>\n <productDescription>Linux/UNIX</productDescription>\n <spotPrice>0.278800</spotPrice>\n <timestamp>2023-01-03T09:17:42.000Z</timestamp>\n <availabilityZone>us-east-1c</availabilityZone>\n </item>\n </spotPriceHistorySet>\n <nextToken></nextToken>\n</DescribeSpotPriceHistoryResponse>\n'
[SpotPriceHistory(c6i.4xlarge):0.298100, SpotPriceHistory(c6i.4xlarge):0.297800, SpotPriceHistory(c6i.4xlarge):0.296300, SpotPriceHistory(c6i.4xlarge):0.295800, SpotPriceHistory(c6i.4xlarge):0.295400]
h = history[1]
h.price
0.2978
for h in history[:30]:
print(h.timestamp,h.availability_zone,
h.instance_type,h.price)
2023-03-04T09:06:32.000Z us-east-1c c6i.4xlarge 0.2981 2023-03-04T02:51:27.000Z us-east-1c c6i.4xlarge 0.2978 2023-03-03T19:21:33.000Z us-east-1c c6i.4xlarge 0.2963 2023-03-03T13:05:04.000Z us-east-1c c6i.4xlarge 0.2958 2023-03-03T05:46:45.000Z us-east-1c c6i.4xlarge 0.2954 2023-03-02T16:19:07.000Z us-east-1c c6i.4xlarge 0.2955 2023-03-02T09:47:34.000Z us-east-1c c6i.4xlarge 0.2948 2023-03-02T03:15:07.000Z us-east-1c c6i.4xlarge 0.2953 2023-03-01T19:53:26.000Z us-east-1c c6i.4xlarge 0.2961 2023-03-01T00:56:24.000Z us-east-1c c6i.4xlarge 0.2963 2023-02-28T18:39:14.000Z us-east-1c c6i.4xlarge 0.2974 2023-02-28T12:49:53.000Z us-east-1c c6i.4xlarge 0.2871 2023-02-28T07:28:44.000Z us-east-1c c6i.4xlarge 0.287 2023-02-27T23:55:12.000Z us-east-1c c6i.4xlarge 0.2863 2023-02-27T17:00:29.000Z us-east-1c c6i.4xlarge 0.2862 2023-02-27T10:35:01.000Z us-east-1c c6i.4xlarge 0.2849 2023-02-27T03:52:50.000Z us-east-1c c6i.4xlarge 0.2858 2023-02-26T21:45:31.000Z us-east-1c c6i.4xlarge 0.2864 2023-02-26T17:10:11.000Z us-east-1c c6i.4xlarge 0.2869 2023-02-26T10:28:11.000Z us-east-1c c6i.4xlarge 0.2865 2023-02-26T05:18:01.000Z us-east-1c c6i.4xlarge 0.2868 2023-02-25T22:13:11.000Z us-east-1c c6i.4xlarge 0.2864 2023-02-25T17:20:11.000Z us-east-1c c6i.4xlarge 0.2862 2023-02-25T10:54:55.000Z us-east-1c c6i.4xlarge 0.2866 2023-02-25T04:49:03.000Z us-east-1c c6i.4xlarge 0.2868 2023-02-24T23:27:57.000Z us-east-1c c6i.4xlarge 0.2864 2023-02-24T18:35:02.000Z us-east-1c c6i.4xlarge 0.2863 2023-02-24T07:34:47.000Z us-east-1c c6i.4xlarge 0.2855 2023-02-24T02:12:57.000Z us-east-1c c6i.4xlarge 0.2858 2023-02-23T19:19:13.000Z us-east-1c c6i.4xlarge 0.2856
f = open("c:\\temp\\plik.txt", "w", newline="")
#r=read, w=write, a=append
f.write("Hello plik1")
f.write("\r\n")
f.write("Hello plik2")
f.write("\r\n")
f.close()
with open("c:\\temp\\plik2.txt", "w", newline="") as f:
f.write("Hello plik1")
f.write("\n") #linux new line
f.write("Hello plik2")
f.write("\r\n") #Windows new line
# nie musimy pamietac aby zamknac plik!
with open("c:\\temp\\plik2.txt", "r") as f:
for linia in f:
print("Linia:"+linia+"&")
Linia:Hello plik1 & Linia:Hello plik2 &
with open("c:\\temp\\plik2.txt", "r") as f:
for linia in f:
print(linia.rstrip())
Hello plik1 Hello plik2
import csv
with open("c:\\temp\\plik2.csv","w",newline="") as f:
w = csv.writer(f, delimiter="\t")
w.writerow(["kol1","kol2","kol3"])
w.writerow([1,2,3])
w.writerow([4,5,6])
import csv
with open("c:\\temp\\hist.csv","w",newline="") as f:
w = csv.writer(f, delimiter="\t")
w.writerow(['time','zone','type','price'])
for h in history:
w.writerow([
h.timestamp, h.availability_zone,
h.instance_type,h.price])
import csv
with open('c:\\temp\\hist.csv', "r") as f:
reader = csv.reader(f, delimiter='\t')
rowno = 0
for row in reader:
print(row)
rowno += 1
if rowno >= 5:
break
['time', 'zone', 'type', 'price'] ['2023-03-04T09:06:32.000Z', 'us-east-1c', 'c6i.4xlarge', '0.2981'] ['2023-03-04T02:51:27.000Z', 'us-east-1c', 'c6i.4xlarge', '0.2978'] ['2023-03-03T19:21:33.000Z', 'us-east-1c', 'c6i.4xlarge', '0.2963'] ['2023-03-03T13:05:04.000Z', 'us-east-1c', 'c6i.4xlarge', '0.2958']
import datetime
txt = '2022-09-30T12:18:49.000Z'
dat = datetime.datetime.strptime(txt, '%Y-%m-%dT%H:%M:%S.%fZ')
dat
datetime.datetime(2022, 9, 30, 12, 18, 49)
import csv
import datetime
prices = []
times = []
with open('c:\\temp\\hist.csv', "r") as f:
reader = csv.reader(f, delimiter='\t')
no = 0
for row in reader:
no = no+1
if no > 1:
prices.append(float(row[3]))
times.append(
datetime.datetime.strptime(
row[0],
'%Y-%m-%dT%H:%M:%S.%fZ'))
import matplotlib.pyplot as plt
plt.plot(times,prices)
plt.xticks(rotation = 90)
plt.show()
plt.step(times[:10],prices[:10])
plt.xticks(rotation = 90)
plt.show()
import json
import ssl
import urllib.request as ul
#ctx = ssl.create_default_context()
#ctx.check_hostname = False
#ctx.verify_mode = ssl.CERT_NONE
# , context=ctx
url = 'https://szufel.pl/pliki/plik.txt'
response = ul.urlopen(url)
json_data = response.read().decode("utf-8")
print(json_data)
{
"firstName": "John",
"lastName": "Smith",
"isAlive": true,
"age": 25,
"address": {
"streetAddress": "21 2nd Street",
"city": "New York",
"state": "NY",
"postalCode": "10021-3100"
},
"phoneNumbers": [
{
"type": "home",
"number": "212 555-1234"
},
{
"type": "office",
"number": "646 555-4567"
}
],
"children": [],
"spouse": null
}
slownik = json.loads(json_data)
print(slownik)
slownik["phoneNumbers"][0]
{'firstName': 'John', 'lastName': 'Smith', 'isAlive': True, 'age': 25, 'address': {'streetAddress': '21 2nd Street', 'city': 'New York', 'state': 'NY', 'postalCode': '10021-3100'}, 'phoneNumbers': [{'type': 'home', 'number': '212 555-1234'}, {'type': 'office', 'number': '646 555-4567'}], 'children': [], 'spouse': None}
{'type': 'home', 'number': '212 555-1234'}
json.dumps(slownik)
'{"firstName": "John", "lastName": "Smith", "isAlive": true, "age": 25, "address": {"streetAddress": "21 2nd Street", "city": "New York", "state": "NY", "postalCode": "10021-3100"}, "phoneNumbers": [{"type": "home", "number": "212 555-1234"}, {"type": "office", "number": "646 555-4567"}], "children": [], "spouse": null}'
slownik = { str((x,x)):x*x for x in range(6) }
print(slownik)
print(json.dumps(slownik))
{'(0, 0)': 0, '(1, 1)': 1, '(2, 2)': 4, '(3, 3)': 9, '(4, 4)': 16, '(5, 5)': 25}
{"(0, 0)": 0, "(1, 1)": 1, "(2, 2)": 4, "(3, 3)": 9, "(4, 4)": 16, "(5, 5)": 25}
from openpyxl import Workbook
wb = Workbook() #tworzy pusty skoroszyt
ws = wb.active # wybiera arkusz w skoroszycie
# <codecell>
import datetime
for row in range(1,11):
ws['A'+str(row)] = row*row
ws['B'+str(row)] = "test taki i owaki"
ws['C'+str(row)] = datetime.datetime.now()
wb.save("c:\\temp\\ADBD\\mojarkusz.xlsx")
import openpyxl
wb = openpyxl.load_workbook('c:\\temp\\ADBD\\mojarkusz.xlsx')
sheet_names = wb.sheetnames
(wb["Sheet"].max_row, wb["Sheet"].max_column)
(10, 3)
# program w Pythonie ktory wyswietli
# na konsoli zawartosc wszystkich arkuszy w skoroszycie
for sheet_name in sheet_names:
print(sheet_name)
print("--------------------")
sheet = wb[sheet_name]
for row in range(1,sheet.max_row+1):
row_data_str = ""
for col in range(1,sheet.max_column+1):
row_data_str +="\t"+str(sheet.cell(row=row, column=col).value)
print(sheet.title,":",row_data_str)
Sheet -------------------- Sheet : 1 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 4 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 9 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 16 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 25 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 36 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 49 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 64 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 81 test taki i owaki 2023-03-04 14:29:11.442000 Sheet : 100 test taki i owaki 2023-03-04 14:29:11.443000
Sposób instalacji sterowników
conda install cx_Oraclepython.exe (z reguły c:\ProgramData\Anaconda3)import cx_Oracle
cx_Oracle.clientversion()
(21, 6, 0, 0, 0)
import cx_Oracle
try:
con = cx_Oracle.connect('admin/ora12345@database-1.chncte7hbg1u.us-east-1.rds.amazonaws.com:1521/ORCL')
#haslo: ora12345 user: admin
print(con.version)
cur = con.cursor()
except Exception as err:
print(err)
ORA-12154: TNS:could not resolve the connect identifier specified
try:
cur.execute('create table tabela1 (kolumna1 varchar2(50), kolumna2 varchar2(50))')
except Exception as err:
print(err)
name 'cur' is not defined
try:
a="value a"
b="value b"
cur.execute('insert into tabela1 (kolumna1, kolumna2) values (:1, :2)', (a,b) )
except Exception as err:
print(err)
name 'cur' is not defined
try:
con.commit()
except Exception as err:
print(err)
name 'con' is not defined
try:
cur.execute('select * from tabela1 order by kolumna1')
for result in cur:
print(result)
con.close()
except Exception as err:
print(err)
Instalacja pakietu do współpracy z R
conda install feather-format -c conda-forge --yesalbo
pip install --user feather-formatPrzykładowe polecenia w R
library(feather)
write_feather(iris, "C:/temp/iris.dat")
iris_copy <- read_feather("C:/temp/iris.dat")import pandas as pd
import urllib.request as ul
response = ul.urlopen('https://szufel.pl/pliki/iris_data.csv')
df = pd.read_csv(response)
response.close()
df
| sepal_length | sepal_width | petal_length | petal_width | class | |
|---|---|---|---|---|---|
| 0 | 5.1 | 3.5 | 1.4 | 0.2 | Iris-setosa |
| 1 | 4.9 | 3.0 | 1.4 | 0.2 | Iris-setosa |
| 2 | 4.7 | 3.2 | 1.3 | 0.2 | Iris-setosa |
| 3 | 4.6 | 3.1 | 1.5 | 0.2 | Iris-setosa |
| 4 | 5.0 | 3.6 | 1.4 | 0.2 | Iris-setosa |
| ... | ... | ... | ... | ... | ... |
| 145 | 6.7 | 3.0 | 5.2 | 2.3 | Iris-virginica |
| 146 | 6.3 | 2.5 | 5.0 | 1.9 | Iris-virginica |
| 147 | 6.5 | 3.0 | 5.2 | 2.0 | Iris-virginica |
| 148 | 6.2 | 3.4 | 5.4 | 2.3 | Iris-virginica |
| 149 | 5.9 | 3.0 | 5.1 | 1.8 | Iris-virginica |
150 rows × 5 columns
df.describe()
| sepal_length | sepal_width | petal_length | petal_width | |
|---|---|---|---|---|
| count | 150.000000 | 150.000000 | 150.000000 | 150.000000 |
| mean | 5.843333 | 3.054000 | 3.758667 | 1.198667 |
| std | 0.828066 | 0.433594 | 1.764420 | 0.763161 |
| min | 4.300000 | 2.000000 | 1.000000 | 0.100000 |
| 25% | 5.100000 | 2.800000 | 1.600000 | 0.300000 |
| 50% | 5.800000 | 3.000000 | 4.350000 | 1.300000 |
| 75% | 6.400000 | 3.300000 | 5.100000 | 1.800000 |
| max | 7.900000 | 4.400000 | 6.900000 | 2.500000 |
df['sepal_length'].head()
0 5.1 1 4.9 2 4.7 3 4.6 4 5.0 Name: sepal_length, dtype: float64
df.loc[0:5,['sepal_length','sepal_width']]
| sepal_length | sepal_width | |
|---|---|---|
| 0 | 5.1 | 3.5 |
| 1 | 4.9 | 3.0 |
| 2 | 4.7 | 3.2 |
| 3 | 4.6 | 3.1 |
| 4 | 5.0 | 3.6 |
| 5 | 5.4 | 3.9 |
df['class'].value_counts()
Iris-setosa 50 Iris-versicolor 50 Iris-virginica 50 Name: class, dtype: int64
print(df.dtypes)
sepal_length float64 sepal_width float64 petal_length float64 petal_width float64 class object dtype: object
df[0:3]
| sepal_length | sepal_width | petal_length | petal_width | class | |
|---|---|---|---|---|---|
| 0 | 5.1 | 3.5 | 1.4 | 0.2 | Iris-setosa |
| 1 | 4.9 | 3.0 | 1.4 | 0.2 | Iris-setosa |
| 2 | 4.7 | 3.2 | 1.3 | 0.2 | Iris-setosa |
df.loc[0:3, "sepal_length"]
0 5.1 1 4.9 2 4.7 3 4.6 Name: sepal_length, dtype: float64
import feather
feather.write_dataframe(df, "C:/temp/iris.dat")
iris = feather.read_dataframe("C:/temp/iris.dat")
iris[0:3]
| sepal_length | sepal_width | petal_length | petal_width | class | |
|---|---|---|---|---|---|
| 0 | 5.1 | 3.5 | 1.4 | 0.2 | Iris-setosa |
| 1 | 4.9 | 3.0 | 1.4 | 0.2 | Iris-setosa |
| 2 | 4.7 | 3.2 | 1.3 | 0.2 | Iris-setosa |
#Tworzenie ramki danych
import numpy as np
data = np.array([np.arange(10)+1]*2+\
[20-np.arange(10)]).T
data
array([[ 1, 1, 20],
[ 2, 2, 19],
[ 3, 3, 18],
[ 4, 4, 17],
[ 5, 5, 16],
[ 6, 6, 15],
[ 7, 7, 14],
[ 8, 8, 13],
[ 9, 9, 12],
[10, 10, 11]])
df = pd.DataFrame(data, columns=['A','B','C'])
df
| A | B | C | |
|---|---|---|---|
| 0 | 1 | 1 | 20 |
| 1 | 2 | 2 | 19 |
| 2 | 3 | 3 | 18 |
| 3 | 4 | 4 | 17 |
| 4 | 5 | 5 | 16 |
| 5 | 6 | 6 | 15 |
| 6 | 7 | 7 | 14 |
| 7 | 8 | 8 | 13 |
| 8 | 9 | 9 | 12 |
| 9 | 10 | 10 | 11 |
type(df["A"].values)
numpy.ndarray
NumPy jest podstawowym narzędziem wykorzystywanym przy analityce danych w języku Python
---- Powrót do spisu treści ----
import numpy as np
a = np.array([1,2,3])
b = np.array([4,5,6])
print (a+10)
[11 12 13]
print (a+b)
[5 7 9]
# ale
print (list(a)+list(b))
[1, 2, 3, 4, 5, 6]
np.zeros((5,3), dtype="float64")
array([[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.]])
a = np.zeros((5,3),dtype="int64")+11
x= 777777777777
a[1,1] = x
a
array([[ 11, 11, 11],
[ 11, 777777777777, 11],
[ 11, 11, 11],
[ 11, 11, 11],
[ 11, 11, 11]], dtype=int64)
try:
a[1,1] = "a33"
except Exception as err:
print(err)
invalid literal for int() with base 10: 'a33'
np.array([["a","b","c"],["a","b","gg"]])
array([['a', 'b', 'c'],
['a', 'b', 'gg']], dtype='<U2')
import numpy as np
np.array([1,2,3])*5
array([ 5, 10, 15])
np.arange(1,13).reshape(4,3)
array([[ 1, 2, 3],
[ 4, 5, 6],
[ 7, 8, 9],
[10, 11, 12]])
# array range - np.arange
a= np.arange(1,13)
b=a.reshape(3,4)
print(b)
print(a)
[[ 1 2 3 4] [ 5 6 7 8] [ 9 10 11 12]] [ 1 2 3 4 5 6 7 8 9 10 11 12]
a1 = np.arange(15).reshape(3,5)
a1.size # int32
15
import numpy as np
vector = np.arange(15)
# to samo mozna osiagnac piszac np.array(range(15))
a1 = np.reshape(vector,(3,5))
a2 = np.array( [[1,2,3],[4,5,6]] )
print ("Liczba wymarow macierzy a1", a1.ndim)
print ("Wymiary ", a1.shape)
print ("Typ danych w a1", a1.dtype.name)
print ("Rozmiar elementu w bajtach", a1.itemsize)
print ("Liczba elementow", a1.size)
Liczba wymarow macierzy a1 2 Wymiary (3, 5) Typ danych w a1 int32 Rozmiar elementu w bajtach 4 Liczba elementow 15
np.ones((5,4), dtype="int32")*8
array([[8, 8, 8, 8],
[8, 8, 8, 8],
[8, 8, 8, 8],
[8, 8, 8, 8],
[8, 8, 8, 8]])
threes = np.ones((3,4),dtype="int64")*3
fours = np.ones((3,4),dtype="int64")*4
print (threes/fours)
[[0.75 0.75 0.75 0.75] [0.75 0.75 0.75 0.75] [0.75 0.75 0.75 0.75]]
np.random.random((5,5))
array([[0.2795944 , 0.66812903, 0.57725472, 0.97665875, 0.87853936],
[0.597553 , 0.44595545, 0.47741187, 0.14707112, 0.54047457],
[0.00682839, 0.21811428, 0.24953156, 0.34108201, 0.61783695],
[0.61283581, 0.81237396, 0.4030786 , 0.64693415, 0.62367199],
[0.46141529, 0.95647858, 0.08963675, 0.56094187, 0.91187648]])
import timeit
timeit.timeit(\
"import numpy as np;a = \
np.random.random((1000,10000));\
print(np.sum(a))",number=10)
5000605.508587979 5000318.446091568 4999984.137793315 5000146.199927739 4999384.595014728 4999441.829169626 4999787.507852074 4998191.0381878475 4999391.992922504 4998974.079745868
0.7832420999999954
import random
[random.random() for i in range(4)]
[0.5628432106747671, 0.9212976484779752, 0.8483479094602133, 0.34369259603688995]
timeit.timeit(\
"import random as rd;a = \
[ rd.random() for i in range(10000000) ];\
print(sum(a))",number=10)
5000394.338965941 4999712.992239783 5000938.514543977 5001199.882933689 4999125.526811077 5000235.734249592 5001098.671619059 5000611.883885406 5000784.552335006 4999489.494691724
15.957268800000008
b = np.arange(12).reshape(3,4)
print ("b=\n",b)
b= [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]]
print ("b column sum=\n",b.sum(axis=0))
b column sum= [12 15 18 21]
print ("b row =\n",b.min(axis=1))
print ("b cumulative row sum=\n",b.cumsum(axis=1))
b row = [0 4 8] b cumulative row sum= [[ 0 1 3 6] [ 4 9 15 22] [ 8 17 27 38]]
import numpy as np
x = np.array([1,2,3,4,5])
y = np.array(range(6,11))
x, y
(array([1, 2, 3, 4, 5]), array([ 6, 7, 8, 9, 10]))
Zv = np.vstack((x,y))
Zh = np.hstack((x,y))
print(Zv)
print(Zh)
[[ 1 2 3 4 5] [ 6 7 8 9 10]] [ 1 2 3 4 5 6 7 8 9 10]
x1 = np.array([[1,2],[3,4]])
y1 = np.array([[5,6],[7,8]])
Zv1 = np.vstack((x1,y1))
Zh1 = np.hstack((x1,y1))
print(Zv1)
print(Zh1)
[[1 2] [3 4] [5 6] [7 8]] [[1 2 5 6] [3 4 7 8]]
Scraping danych ze stron może być wykonywany w jednym z dwu podejść
---- Powrót do spisu treści ----
Aby uruchomic kolejna komorke nalezy doinstalowac scrapy
conda install -c conda-forge scrapy --yesalbo
pip install --user scrapyclass Zwierze: # klasa nadrzedna
nogi = 0 #pole
ogon = False
def daj_glos(self): #metoda
print("Glos")
def glos_2x(self):
self.daj_glos()
self.daj_glos()
class Pies(Zwierze): # klasa podrzedna (dziedziczy z klasy nadrzecznej)
pole = 4
def __init__(self): # konstruktor
self.nogi = 4
self.ogon = True
def daj_glos(self):
print("Hau")
pies = Pies()
print(pies.nogi)
pies.glos_2x()
4 Hau Hau
import scrapy
import scrapy.http
class GitHubItem(scrapy.Item):
name = scrapy.Field()
stars = scrapy.Field()
class GitHubSpider(scrapy.Spider):
name = "githubspider"
allowed_domains = ["github.com"]
start_urls = ["https://github.com/python"]
def parse(self, response):
print ("Site visited:"+response.url)
s = scrapy.Selector(text=response.body)
for dblock in s.xpath("//a[contains(@itemprop, 'codeRepository')]"):
newurls = dblock.xpath(".//@href")
if len(newurls) > 0:
newurl = newurls[0].extract().strip()
yield scrapy.http.Request("https://github.com"+newurl,self.parsepage)
def parsepage(self, response):
print ("Site visited:"+response.url)
s = scrapy.Selector(text=response.body)
item = GitHubItem()
xpathname=s.xpath("//strong[@itemprop='name']/a/text()")
xpathstars = s.xpath("//span[contains(@class, 'js-social-count')]/text()")
if len(xpathname) > 0 and len(xpathstars) > 0:
item["name"] = xpathname[0].extract()
item["stars"] = xpathstars[0].extract().strip()
yield item
# kod do uruchomienia powyzszego kodu
from scrapy.crawler import CrawlerProcess
import sys
#Obejscie dla sytuacjiz ze kazde uruchomienie wymaga restartu
# kernela notebooka albo przebudowanie kodu
# https://stackoverflow.com/questions/41495052/scrapy-reactor-not-restartable
if "twisted.internet.reactor" in sys.modules:
del sys.modules["twisted.internet.reactor"]
process = CrawlerProcess({
'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)'
})
spider = GitHubSpider
process.crawl(spider)
process.start()
2023-03-04 15:11:52 [scrapy.utils.log] INFO: Scrapy 2.6.1 started (bot: scrapybot)
2023-03-04 15:11:52 [scrapy.utils.log] INFO: Versions: lxml 4.8.0.0, libxml2 2.9.12, cssselect 1.1.0, parsel 1.6.0, w3lib 1.21.0, Twisted 22.2.0, Python 3.9.12 (main, Apr 4 2022, 05:22:27) [MSC v.1916 64 bit (AMD64)], pyOpenSSL 21.0.0 (OpenSSL 1.1.1n 15 Mar 2022), cryptography 3.4.8, Platform Windows-10-10.0.22621-SP0
2023-03-04 15:11:52 [scrapy.crawler] INFO: Overridden settings:
{'USER_AGENT': 'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)'}
2023-03-04 15:11:52 [scrapy.utils.log] DEBUG: Using reactor: twisted.internet.selectreactor.SelectReactor
2023-03-04 15:11:52 [scrapy.extensions.telnet] INFO: Telnet Password: 49757aa07dd62ff9
2023-03-04 15:11:52 [scrapy.middleware] INFO: Enabled extensions:
['scrapy.extensions.corestats.CoreStats',
'scrapy.extensions.telnet.TelnetConsole',
'scrapy.extensions.logstats.LogStats']
2023-03-04 15:11:52 [scrapy.middleware] INFO: Enabled downloader middlewares:
['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',
'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',
'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',
'scrapy.downloadermiddlewares.retry.RetryMiddleware',
'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware',
'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware',
'scrapy.downloadermiddlewares.redirect.RedirectMiddleware',
'scrapy.downloadermiddlewares.cookies.CookiesMiddleware',
'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware',
'scrapy.downloadermiddlewares.stats.DownloaderStats']
2023-03-04 15:11:52 [scrapy.middleware] INFO: Enabled spider middlewares:
['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware',
'scrapy.spidermiddlewares.offsite.OffsiteMiddleware',
'scrapy.spidermiddlewares.referer.RefererMiddleware',
'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware',
'scrapy.spidermiddlewares.depth.DepthMiddleware']
2023-03-04 15:11:52 [scrapy.middleware] INFO: Enabled item pipelines:
[]
2023-03-04 15:11:52 [scrapy.core.engine] INFO: Spider opened
2023-03-04 15:11:52 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2023-03-04 15:11:52 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6024
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python> (referer: None)
Site visited:https://github.com/python
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/peps> (referer: https://github.com/python)
2023-03-04 15:11:53 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/peps>
{'name': 'peps', 'stars': '3.6k'}
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/cpython> (referer: https://github.com/python)
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/python-docs-pl> (referer: https://github.com/python)
Site visited:https://github.com/python/peps
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/python-docs-pt-br> (referer: https://github.com/python)
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/typeshed> (referer: https://github.com/python)
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/python-docs-ja> (referer: https://github.com/python)
2023-03-04 15:11:53 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/python-docs-zh-tw> (referer: https://github.com/python)
2023-03-04 15:11:53 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/cpython>
{'name': 'cpython', 'stars': '51k'}
2023-03-04 15:11:53 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/python-docs-pl>
{'name': 'python-docs-pl', 'stars': '30'}
2023-03-04 15:11:53 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/python-docs-pt-br>
{'name': 'python-docs-pt-br', 'stars': '96'}
2023-03-04 15:11:54 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/typeshed>
{'name': 'typeshed', 'stars': '3.4k'}
2023-03-04 15:11:54 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/devguide> (referer: https://github.com/python)
2023-03-04 15:11:54 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/python-docs-ja>
{'name': 'python-docs-ja', 'stars': '56'}
2023-03-04 15:11:54 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/python-docs-zh-tw>
{'name': 'python-docs-zh-tw', 'stars': '125'}
Site visited:https://github.com/python/cpython Site visited:https://github.com/python/python-docs-pl Site visited:https://github.com/python/python-docs-pt-br Site visited:https://github.com/python/typeshed Site visited:https://github.com/python/python-docs-ja Site visited:https://github.com/python/python-docs-zh-tw
2023-03-04 15:11:54 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/mypy> (referer: https://github.com/python)
2023-03-04 15:11:54 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/devguide>
{'name': 'devguide', 'stars': '1.5k'}
2023-03-04 15:11:54 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/mypy>
{'name': 'mypy', 'stars': '14.9k'}
2023-03-04 15:11:54 [scrapy.core.engine] DEBUG: Crawled (200) <GET https://github.com/python/python-docs-es> (referer: https://github.com/python)
Site visited:https://github.com/python/devguide Site visited:https://github.com/python/mypy
2023-03-04 15:11:54 [scrapy.core.scraper] DEBUG: Scraped from <200 https://github.com/python/python-docs-es>
{'name': 'python-docs-es', 'stars': '218'}
2023-03-04 15:11:54 [scrapy.core.engine] INFO: Closing spider (finished)
2023-03-04 15:11:54 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 7343,
'downloader/request_count': 11,
'downloader/request_method_count/GET': 11,
'downloader/response_bytes': 487698,
'downloader/response_count': 11,
'downloader/response_status_count/200': 11,
'elapsed_time_seconds': 1.828624,
'finish_reason': 'finished',
'finish_time': datetime.datetime(2023, 3, 4, 14, 11, 54, 370537),
'httpcompression/response_bytes': 3677999,
'httpcompression/response_count': 11,
'item_scraped_count': 10,
'log_count/DEBUG': 22,
'log_count/INFO': 10,
'request_depth_max': 1,
'response_received_count': 11,
'scheduler/dequeued': 11,
'scheduler/dequeued/memory': 11,
'scheduler/enqueued': 11,
'scheduler/enqueued/memory': 11,
'start_time': datetime.datetime(2023, 3, 4, 14, 11, 52, 541913)}
2023-03-04 15:11:54 [scrapy.core.engine] INFO: Spider closed (finished)
Site visited:https://github.com/python/python-docs-es
[(#selenium)Aby uruchomic kolejna komorke nalezy doinstalowac selenium
conda install -c conda-forge selenium --yesalbo
pip install --user seleniumDodatkowo nalezy pobrac plik geckodriver.exe ze strony https://github.com/mozilla/geckodriver/releases i umiescic go w tym samym katalogu, w ktorym znajduje sie python.exe
#automatyzacja selenium
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
driver = webdriver.Firefox()
2023-03-04 15:12:05 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session {"capabilities": {"firstMatch": [{}], "alwaysMatch": {"browserName": "firefox", "acceptInsecureCerts": true, "moz:debuggerAddress": true, "pageLoadStrategy": "normal"}}}
2023-03-04 15:12:05 [urllib3.connectionpool] DEBUG: Starting new HTTP connection (1): localhost:61524
2023-03-04 15:12:09 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session HTTP/1.1" 200 791
2023-03-04 15:12:09 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":{"sessionId":"05b56449-533f-4e95-afb4-2237abec81fc","capabilities":{"acceptInsecureCerts":true,"browserName":"firefox","browserVersion":"110.0.1","moz:accessibilityChecks":false,"moz:buildID":"20230227191043","moz:debuggerAddress":"127.0.0.1:61525","moz:geckodriverVersion":"0.31.0","moz:headless":false,"moz:platformVersion":"10.0","moz:processID":40096,"moz:profile":"C:\\Users\\pszuf\\AppData\\Local\\Temp\\rust_mozprofileT8whgA","moz:shutdownTimeout":60000,"moz:useNonSpecCompliantPointerOrigin":false,"moz:webdriverClick":true,"moz:windowless":false,"pageLoadStrategy":"normal","platformName":"windows","proxy":{},"setWindowRect":true,"strictFileInteractability":false,"timeouts":{"implicit":0,"pageLoad":300000,"script":30000},"unhandledPromptBehavior":"dismiss and notify"}}} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '791', 'date': 'Sat, 04 Mar 2023 14:12:07 GMT'})
2023-03-04 15:12:09 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
driver.get("http://www.python.org")
print(driver.title)
2023-03-04 15:12:14 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/url {"url": "http://www.python.org"}
2023-03-04 15:12:16 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/url HTTP/1.1" 200 14
2023-03-04 15:12:16 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:12:14 GMT'})
2023-03-04 15:12:16 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:12:16 [selenium.webdriver.remote.remote_connection] DEBUG: GET http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/title {}
2023-03-04 15:12:16 [urllib3.connectionpool] DEBUG: http://localhost:61524 "GET /session/05b56449-533f-4e95-afb4-2237abec81fc/title HTTP/1.1" 200 33
2023-03-04 15:12:16 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":"Welcome to Python.org"} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '33', 'date': 'Sat, 04 Mar 2023 14:12:16 GMT'})
2023-03-04 15:12:16 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
Welcome to Python.org
elem = driver.find_element("name", "q")
elem.clear()
elem.click()
elem.send_keys("pycon")
elem.send_keys(Keys.RETURN)
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element {"using": "css selector", "value": "[name=\"q\"]"}
2023-03-04 15:12:22 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element HTTP/1.1" 200 88
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":{"element-6066-11e4-a52e-4f735466cecf":"455ccb0f-4cdf-421b-a6e8-af849cea6df6"}} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '88', 'date': 'Sat, 04 Mar 2023 14:12:22 GMT'})
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/clear {"id": "455ccb0f-4cdf-421b-a6e8-af849cea6df6"}
2023-03-04 15:12:22 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/clear HTTP/1.1" 200 14
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:12:22 GMT'})
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/click {"id": "455ccb0f-4cdf-421b-a6e8-af849cea6df6"}
2023-03-04 15:12:22 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/click HTTP/1.1" 200 14
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:12:22 GMT'})
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/value {"text": "pycon", "value": ["p", "y", "c", "o", "n"], "id": "455ccb0f-4cdf-421b-a6e8-af849cea6df6"}
2023-03-04 15:12:22 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/value HTTP/1.1" 200 14
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:12:22 GMT'})
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/value {"text": "\ue006", "value": ["\ue006"], "id": "455ccb0f-4cdf-421b-a6e8-af849cea6df6"}
2023-03-04 15:12:22 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/455ccb0f-4cdf-421b-a6e8-af849cea6df6/value HTTP/1.1" 200 14
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:12:22 GMT'})
2023-03-04 15:12:22 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
elem = driver.find_element("name", "q")
elem.clear()
elem.send_keys("pycon")
elem.send_keys(Keys.RETURN)
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element {"using": "css selector", "value": "[name=\"q\"]"}
2023-03-04 15:13:04 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element HTTP/1.1" 200 88
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":{"element-6066-11e4-a52e-4f735466cecf":"0933f76e-d7c4-47fd-a4c5-ada727705c7a"}} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '88', 'date': 'Sat, 04 Mar 2023 14:13:04 GMT'})
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/0933f76e-d7c4-47fd-a4c5-ada727705c7a/clear {"id": "0933f76e-d7c4-47fd-a4c5-ada727705c7a"}
2023-03-04 15:13:04 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/0933f76e-d7c4-47fd-a4c5-ada727705c7a/clear HTTP/1.1" 200 14
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:13:04 GMT'})
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/0933f76e-d7c4-47fd-a4c5-ada727705c7a/value {"text": "pycon", "value": ["p", "y", "c", "o", "n"], "id": "0933f76e-d7c4-47fd-a4c5-ada727705c7a"}
2023-03-04 15:13:04 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/0933f76e-d7c4-47fd-a4c5-ada727705c7a/value HTTP/1.1" 200 14
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:13:04 GMT'})
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: POST http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/element/0933f76e-d7c4-47fd-a4c5-ada727705c7a/value {"text": "\ue006", "value": ["\ue006"], "id": "0933f76e-d7c4-47fd-a4c5-ada727705c7a"}
2023-03-04 15:13:04 [urllib3.connectionpool] DEBUG: http://localhost:61524 "POST /session/05b56449-533f-4e95-afb4-2237abec81fc/element/0933f76e-d7c4-47fd-a4c5-ada727705c7a/value HTTP/1.1" 200 14
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":null} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '14', 'date': 'Sat, 04 Mar 2023 14:13:04 GMT'})
2023-03-04 15:13:04 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
print(driver.page_source[0:3000])
2023-03-04 15:13:10 [selenium.webdriver.remote.remote_connection] DEBUG: GET http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/source {}
2023-03-04 15:13:10 [urllib3.connectionpool] DEBUG: http://localhost:61524 "GET /session/05b56449-533f-4e95-afb4-2237abec81fc/source HTTP/1.1" 200 66676
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Python can be used on many operating systems and environments. <a href=\"/downloads/\">View the full list of downloads</a>.</p>\n </div>\n \n <div class=\"download-os-source\" style=\"display: none;\">\n \n <h3>Python Source</h3>\n \n <p>\n <a class=\"button\" href=\"https://www.python.org/ftp/python/3.11.2/Python-3.11.2.tar.xz\">Python 3.11.2</a>\n </p>\n \n <p>Not the OS you are looking for? Python can be used on many operating systems and environments. <a href=\"/downloads/\">View the full list of downloads</a>.</p>\n </div>\n \n <div class=\"download-os-windows\" style=\"\">\n \n <h4>Download for Windows</h4>\n \n <p>\n <a class=\"button\" href=\"https://www.python.org/ftp/python/3.11.2/python-3.11.2-amd64.exe\">Python 3.11.2</a>\n </p>\n <p><strong>Note that Python 3.9+ <em>cannot</em> be used on Windows 7 or earlier.</strong></p>\n <p>Not the OS you are looking for? Python can be used on many operating systems and environments. <a href=\"/downloads/\">View the full list of downloads</a>.</p>\n </div>\n \n <div class=\"download-unknown\" style=\"display: none;\">\n <h4>Download Python for Any OS</h4>\n <p>Python can be used on many operating systems and environments.</p>\n <p>\n <a class=\"button\" href=\"/downloads/operating-systems/\">View the full list of downloads</a>\n </p>\n </div>\n</li>\n</ul>\n\n \n </li>\n \n \n \n <li id=\"documentation\" class=\"tier-1 element-3 with-supernav\" aria-haspopup=\"true\">\n <a href=\"/doc/\" title=\"\" class=\"\">Documentation</a>\n \n \n\n<ul class=\"subnav menu\" role=\"menu\" aria-hidden=\"true\">\n \n <li class=\"tier-2 element-1\" role=\"treeitem\"><a href=\"/doc/\" title=\"\">Docs</a></li>\n \n <li class=\"tier-2 element-2\" role=\"treeitem\"><a href=\"/doc/av\" title=\"\">Audio/Visual Talks</a></li>\n \n <li class=\"tier-2 element-3\" role=\"treeitem\"><a href=\"https://wiki.python.org/moin/BeginnersGuide\" title=\"\">Beginner's Guide</a></li>\n \n <li class=\"tier-2 element-4\" role=\"treeitem\"><a href=\"https://devguide.python.org/\" title=\"\">Developer's Guide</a></li>\n \n <li class=\"tier-2 element-5\" role=\"treeitem\"><a href=\"https://docs.python.org/faq/\" title=\"\">FAQ</a></li>\n \n <li class=\"tier-2 element-6\" role=\"treeitem\"><a href=\"http://wiki.python.org/moin/Languages\" title=\"\">Non-English Docs</a></li>\n \n <li class=\"tier-2 element-7\" role=\"treeitem\"><a href=\"http://python.org/dev/peps/\" title=\"\">PEP Index</a></li>\n \n <li class=\"tier-2 element-8\" role=\"treeitem\"><a href=\"https://wiki.python.org/moin/PythonBooks\" title=\"\">Python Books</a></li>\n \n <li class=\"tier-2 element-9\" role=\"treeitem\"><a href=\"/doc/essays/\" title=\"\">Python Essays</a></li>\n \n<li class=\"tier-2 super-navigation\">\n <h4>Python’s standard documentation: download, browse or watch a tutorial.</h4>\n <p>Get started below, or visit the <a href=\"/doc/versions/\">Documentation page to browse by version</a>. </p>\n <br>\n <p class=\"download-buttons\">\n <a class=\"button\" href=\"http://docs.python.org/3/\">Python Docs</a> \n </p>\n </li></ul>\n\n \n </li>\n \n \n \n <li id=\"community\" class=\"tier-1 element-4 with-supernav\" aria-haspopup=\"true\">\n <a href=\"/community/\" title=\"\" class=\"\">Community</a>\n \n \n\n<ul class=\"subnav menu\" role=\"menu\" aria-hidden=\"true\">\n \n <li class=\"tier-2 element-1\" role=\"treeitem\"><a href=\"/community/diversity/\" title=\"\">Diversity</a></li>\n \n <li class=\"tier-2 element-2\" role=\"treeitem\"><a href=\"/community/lists/\" title=\"\">Mailing Lists</a></li>\n \n <li class=\"tier-2 element-3\" role=\"treeitem\"><a href=\"/community/irc/\" title=\"\">IRC</a></li>\n \n <li class=\"tier-2 element-4\" role=\"treeitem\"><a href=\"/community/forums/\" title=\"\">Forums</a></li>\n \n <li class=\"tier-2 element-5\" role=\"treeitem\"><a href=\"/psf/annual-report/2021/\" title=\"\">PSF Annual Impact Report</a></li>\n \n <li class=\"tier-2 element-6\" role=\"treeitem\"><a href=\"/community/workshops/\" title=\"\">Python Conferences</a></li>\n \n <li class=\"tier-2 element-7\" role=\"treeitem\"><a href=\"/community/sigs/\" title=\"\">Special Interest Groups</a></li>\n \n <li class=\"tier-2 element-8\" role=\"treeitem\"><a href=\"/community/logos/\" title=\"\">Python Logo</a></li>\n \n <li class=\"tier-2 element-9\" role=\"treeitem\"><a href=\"https://wiki.python.org/moin/\" title=\"\">Python Wiki</a></li>\n \n <li class=\"tier-2 element-10\" role=\"treeitem\"><a href=\"/psf/conduct/\" title=\"\">Code of Conduct</a></li>\n \n <li class=\"tier-2 element-11\" role=\"treeitem\"><a href=\"/community/awards\" title=\"\">Community Awards</a></li>\n \n <li class=\"tier-2 element-12\" role=\"treeitem\"><a href=\"/psf/get-involved/\" title=\"\">Get Involved</a></li>\n \n <li class=\"tier-2 element-13\" role=\"treeitem\"><a href=\"/psf/community-stories/\" title=\"\">Shared Stories</a></li>\n \n <li class=\"tier-2 super-navigation\">\n <h4>The Python Community</h4>\n<p>Great software is supported by great people. Our user base is enthusiastic, dedicated to encouraging use of the language, and committed to being diverse and friendly.</p>\n\n<!--\n <p>Here are some events and groups in your area.</p>\n <ul class=\"menu\">\n <li><time datetime=\"\">9/30<span class=\"say-no-more\">/2012</span></time> <a href=\"#\">Royal Python Society Meetup, Providence RI</a></li>\n <li><time datetime=\"\">10/4<span class=\"say-no-more\">/2012</span></time> <a href=\"#\">Python Users Group, Boston MA</a></li>\n <li><time datetime=\"\">10/5<span class=\"say-no-more\">/2012</span></time> <a href=\"#\">Python Enthusiasts, Cambridge MA</a></li>\n </ul>\n </li>--></li></ul>\n\n \n </li>\n \n \n \n <li id=\"success-stories\" class=\"tier-1 element-5 with-supernav\" aria-haspopup=\"true\">\n <a href=\"/success-stories/\" title=\"success-stories\" class=\"\">Success Stories</a>\n \n \n\n<ul class=\"subnav menu\" role=\"menu\" aria-hidden=\"true\">\n \n <li class=\"tier-2 element-1\" role=\"treeitem\"><a href=\"/success-stories/category/arts/\" title=\"\">Arts</a></li>\n \n <li class=\"tier-2 element-2\" role=\"treeitem\"><a href=\"/success-stories/category/business/\" title=\"\">Business</a></li>\n \n <li class=\"tier-2 element-3\" role=\"treeitem\"><a href=\"/success-stories/category/education/\" title=\"\">Education</a></li>\n \n <li class=\"tier-2 element-4\" role=\"treeitem\"><a href=\"/success-stories/category/engineering/\" title=\"\">Engineering</a></li>\n \n <li class=\"tier-2 element-5\" role=\"treeitem\"><a href=\"/success-stories/category/government/\" title=\"\">Government</a></li>\n \n <li class=\"tier-2 element-6\" role=\"treeitem\"><a href=\"/success-stories/category/scientific/\" title=\"\">Scientific</a></li>\n \n <li class=\"tier-2 element-7\" role=\"treeitem\"><a href=\"/success-stories/category/software-development/\" title=\"\">Software Development</a></li>\n \n<!-- successstories supernav from templates/successstories/supernav.html -->\n <li class=\"tier-2 super-navigation\">\n \n <blockquote class=\"success-quote\">\n Einblick reimagines the modern data science workflow in a collaborative data science canvas, rather than a linear notebook. Working in a canvas environment offers many advantages including live collaboration, an expansive visual interface, and a progressive computation engine. In this article, we’ll highlight one of the key ways we’re saving data scientists time–our operators. We’ll go through a couple of our core operators, why Python is such a crucial part of our software solution, and how we augmented our offerings with a user operator interface. The latter allows users to customize and use their own operators, which can be used in any Einblick canvas, and shared with other Einblick users.\n </blockquote>\n <p class=\"quote-by\"><cite>Becca Weng</cite>, <a href=\"https://www.einblick.ai/\">Einblick</a></p>\n\n </li></ul>\n\n \n </li>\n \n \n \n <li id=\"news\" class=\"tier-1 element-6 \" aria-haspopup=\"true\">\n <a href=\"/blogs/\" title=\"News from around the Python world\" class=\"\">News</a>\n \n \n\n<ul class=\"subnav menu\" role=\"menu\" aria-hidden=\"true\">\n \n <li class=\"tier-2 element-1\" role=\"treeitem\"><a href=\"/blogs/\" title=\"Python Insider Blog Posts\">Python News</a></li>\n \n <li class=\"tier-2 element-2\" role=\"treeitem\"><a href=\"/psf/newsletter/\" title=\"Python Software Foundation Newsletter\">PSF Newsletter</a></li>\n \n <li class=\"tier-2 element-3\" role=\"treeitem\"><a href=\"http://pyfound.blogspot.com/\" title=\"PSF Blog\">PSF News</a></li>\n \n <li class=\"tier-2 element-4\" role=\"treeitem\"><a href=\"http://pycon.blogspot.com/\" title=\"PyCon Blog\">PyCon US News</a></li>\n \n <li class=\"tier-2 element-5\" role=\"treeitem\"><a href=\"http://planetpython.org/\" title=\"Planet Python\">News from the Community</a></li>\n \n</ul>\n\n \n </li>\n \n \n \n <li id=\"events\" class=\"tier-1 element-7 with-supernav\" aria-haspopup=\"true\">\n <a href=\"/events/\" title=\"\" class=\"\">Events</a>\n \n \n\n<ul class=\"subnav menu\" role=\"menu\" aria-hidden=\"true\">\n \n <li class=\"tier-2 element-1\" role=\"treeitem\"><a href=\"/events/python-events/\" title=\"\">Python Events</a></li>\n \n <li class=\"tier-2 element-2\" role=\"treeitem\"><a href=\"/events/python-user-group/\" title=\"\">User Group Events</a></li>\n \n <li class=\"tier-2 element-3\" role=\"treeitem\"><a href=\"/events/python-events/past/\" title=\"\">Python Events Archive</a></li>\n \n <li class=\"tier-2 element-4\" role=\"treeitem\"><a href=\"/events/python-user-group/past/\" title=\"\">User Group Events Archive</a></li>\n \n <li class=\"tier-2 element-5\" role=\"treeitem\"><a href=\"https://wiki.python.org/moin/PythonEventsCalendar#Submitting_an_Event\" title=\"\">Submit an Event</a></li>\n \n<li class=\"tier-2 super-navigation\">Find events from the Python Community around the world!</li></ul>\n\n \n </li>\n \n \n \n \n \n</ul>\n\n \n </nav>\n\n <div class=\"header-banner \"> <!-- for optional \"do-not-print\" class -->\n \n \n </div>\n\n \n \n\n </div><!-- end .container -->\n </header>\n\n <div id=\"content\" class=\"content-wrapper\">\n <!-- Main Content Column -->\n <div class=\"container\">\n\n <section class=\"main-content \" role=\"main\">\n\n \n \n\n \n\n \n <h2>Search Python.org</h2>\n\n <form method=\"get\" action=\".\">\n <p>\n <input type=\"text\" name=\"q\" value=\"pycon\">\n <input type=\"submit\" value=\"Search\">\n </p>\n \n <h3>Results</h3>\n\n <ul class=\"list-recent-events menu\">\n \n <li>\n \n<h3><a href=\"/psf/trademarks/pycon\">PSF PyCon Trademark Usage Policy</a></h3>\n<p>\n ...<span class=\"highlighted\">PyCon</span> AR\", \"<span class=\"highlighted\">PyCon</span> Argentina\" in Argentina\n\"<span class=\"highlighted\">PyCon</span> AU\", \"<span class=\"highlighted\">PyCon</span> Australia\" in Australia\n\"<span class=\"highlighted\">PyCon</span> BY\", \"<span class=\"highlighted\">PyCon</span> Belarus\" in Belarus\n\"<span class=\"highlighted\">PyCon</span> CA\", \"<span class=\"highlighted\">PyCon</span> Canada\" in Canada\n\"<span class=\"highlighted\">PyCon</span> CN\", \"<span class=\"highlighted\">PyCon</span> China\" in China\n\"<span class=\"highlighted\">PyCon</span> CZ\", \"<span class=\"highlighted\">PyCon</span> Czech\" in Czech Republic\n\"<span class=\"highlighted\">PyCon</span> DE\" in Germany\n\"<span class=\"highlighted\">PyCon</span> ES\", \"<span class=\"highlighted\">PyCon</span> España\", \"<span class=\"highlighted\">PyCon</span> Spain\" in Spain\n\"<span class=\"highlighted\">PyCon</span> FI\", \"Py...\n</p>\n\n </li>\n \n <li>\n \n<h3><a href=\"/community/workshops\">Conferences and Workshops</a></h3>\n<p>\n ...<span class=\"highlighted\">PyCon</span> (New Zealand)\nOSCON (O'Reilly Open Source Convention)\nPlone Conference\n<span class=\"highlighted\">PyCon</span> (US / North America)\n<span class=\"highlighted\">PyCon</span> Argentina (formerly\nPython en Santa Fe (Argentina))\n<span class=\"highlighted\">PyCon</span> Asia Pacific\n<span class=\"highlighted\">PyCon</span> AU (Australia)\n<span class=\"highlighted\">PyCon</span> FI (Finland)\n<span class=\"highlighted\">PyCon</span> FR (France)\n<span class=\"highlighted\">PyCon</span> DE (Germany)\n<span class=\"highlighted\">PyCon</span> India\n<span class=\"highlighted\">PyCon</span> Ireland\n<span class=\"highlighted\">PyCon</span> Italia\n<span class=\"highlighted\">PyCon</span> KR (South Korea)\n<span class=\"highlighted\">PyCon</span> LT (Lithuania)\n<span class=\"highlighted\">PyCon</span> MEA (Middle East & Africa)\n<span class=\"highlighted\">PyCon</span> PH (Philippines)\n<span class=\"highlighted\">PyCon</span> PL (Poland)\n<span class=\"highlighted\">PyCon</span> SK (Slovakia)\n<span class=\"highlighted\">PyCon</span> UK\n<span class=\"highlighted\">PyCon</span> Ukraine\n<span class=\"highlighted\">PyCon</span> ZA (South Africa)\nPyData\nPyGotha...\n</p>\n\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/378/\">PyCon Italia 2016 (PyCon Sette)</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2016-04-15T00:00:00+00:00\">From 15 April</time> \n <time class=\"date-end\" datetime=\"2016-04-17T00:00:00+00:00\">through 17 April</time>, \n <time class=\"year\" datetime=\"2016\">2016</time>\n</p>\n\n\n\n\n<p>Location: Hotel Mediterraneo, Lungarno del Tempio, Florence, Italia</p>\n\n\n<p>PyCon Italia 2016 (PyCon Sette)</p>\n </li>\n \n <li>\n \n<h3><a href=\"/psf/records/board/minutes/2008-04-14\">2008-04-14 PSF Board Meeting Minutes</a></h3>\n<p>\n ...<span class=\"highlighted\">PyCon</span> sponsors.\nD. Goodger reported that he will be going over the <span class=\"highlighted\">PyCon</span> hotel bill\nwith CTE this week, but it looks fine.\nK. Kaiser sent a statement of accounts receivable to the Board mailing\nlist.\n\n\n6 <span class=\"highlighted\">PyCon</span> 2009 Venue\nD. Goodger reported that there are two options for larger venues for\n<span class=\"highlighted\">PyCon</span> 2009, as he emailed previously.\n\nRESOLVED, that the <span class=\"highlighted\">PyCon</span> chairman be authorized to choose the\nvenue for <span class=\"highlighted\">PyCon</span> 2009.\nApproved 7-0-1.\n\n\n7 <span class=\"highlighted\">PyCon</span> Asset Record-Keeping\nD. Goo...\n</p>\n\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/57/\">PyCon Australia 2013</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2013-07-05T00:00:00+00:00\">From 05 July</time> \n <time class=\"date-end\" datetime=\"2013-07-07T00:00:00+00:00\">through 07 July</time>, \n <time class=\"year\" datetime=\"2013\">2013</time>\n</p>\n\n\n\n\n<p>Location: Hobart, Australia</p>\n\n\n<p>PyCon Australia 2013</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/776/\">PyCon AU 2019</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2019-08-02T00:00:00+00:00\">From 02 Aug.</time> \n <time class=\"date-end\" datetime=\"2019-08-06T00:00:00+00:00\">through 06 Aug.</time>, \n <time class=\"year\" datetime=\"2019\">2019</time>\n</p>\n\n\n\n\n<p>Location: Sydney, Australia</p>\n\n\n<p>PyCon AU</p>\n </li>\n \n <li>\n \n<h3><a href=\"/community/pycon\">PyCon Home at python.org</a></h3>\n<p>\n <span class=\"highlighted\">PyCon</span> Home at python.org\n\n\n<span class=\"highlighted\">PyCon</span> is a conference for the Python community, organized by members\nof the Python community. <span class=\"highlighted\">PyCon</span> is for Python enthusiasts of all\nexperience levels, from new users to core developers.\nThe original <span class=\"highlighted\">PyCon</span> was formed in North America in 2003, but there are\nnow a number of other conferences being run in the <span class=\"highlighted\">PyCon</span> spirit around\nthe world. Visit the worldwide <span class=\"highlighted\">PyCon</span> web site for more information.\nFor information on <span class=\"highlighted\">PyCon</span> US, please visit the conference website .\n<span class=\"highlighted\">PyCon</span> gi...\n</p>\n\n </li>\n \n <li>\n \n<h3><a href=\"/psf/records/board/minutes/2012-07-16\">2012-07-16 PSF Board Meeting Minutes</a></h3>\n<p>\n ...<span class=\"highlighted\">PyCon</span> AV Management\n6.8.2 <span class=\"highlighted\">PyCon</span> Budgeting\n6.8.3 <span class=\"highlighted\">PyCon</span> Catering\n6.8.4 <span class=\"highlighted\">PyCon</span> Contract Negotiations\n6.8.5 <span class=\"highlighted\">PyCon</span> Electrical\n6.8.6 <span class=\"highlighted\">PyCon</span> Exhibit Hall\n6.8.7 <span class=\"highlighted\">PyCon</span> Financial Aid\n6.8.8 Future Event Planning\n6.8.9 <span class=\"highlighted\">PyCon</span> Hotel/CC Management\n6.8.10 <span class=\"highlighted\">PyCon</span> Housing Management\n6.8.11 <span class=\"highlighted\">PyCon</span> Internet\n6.8.12 <span class=\"highlighted\">PyCon</span> Printing\n6.8.13...\n</p>\n\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/10/\">PyCon Australia 2014</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2014-08-01T00:00:00+00:00\">From 01 Aug.</time> \n <time class=\"date-end\" datetime=\"2014-08-05T00:00:00+00:00\">through 05 Aug.</time>, \n <time class=\"year\" datetime=\"2014\">2014</time>\n</p>\n\n\n\n\n<p>Location: Brisbane, Australia</p>\n\n\n<p>PyCon Australia 2014</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/76/\">PyCon Ireland 2012</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2012-10-13T00:00:00+00:00\">From 13 Oct.</time> \n <time class=\"date-end\" datetime=\"2012-10-14T00:00:00+00:00\">through 14 Oct.</time>, \n <time class=\"year\" datetime=\"2012\">2012</time>\n</p>\n\n\n\n\n<p>Location: Dublin, Ireland</p>\n\n\n<p>PyCon Ireland 2012</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/429/\">PyCon Ireland 2016</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2016-11-05T00:00:00+00:00\">From 05 Nov.</time> \n <time class=\"date-end\" datetime=\"2016-11-06T00:00:00+00:00\">through 06 Nov.</time>, \n <time class=\"year\" datetime=\"2016\">2016</time>\n</p>\n\n\n\n\n<p>Location: Dublin, Ireland</p>\n\n\n<p>PyCon Ireland 2016</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/1320/\">PyCon Ireland 2022</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2022-11-12T00:00:00+00:00\">From 12 Nov.</time> \n <time class=\"date-end\" datetime=\"2022-11-13T00:00:00+00:00\">through 13 Nov.</time>, \n <time class=\"year\" datetime=\"2022\">2022</time>\n</p>\n\n\n\n\n<p>Location: Dublin, Ireland</p>\n\n\n<p>PyCon Ireland 2022</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/1447/\">PyCon Australia 2014</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2014-08-01T00:00:00+00:00\">From 01 Aug.</time> \n <time class=\"date-end\" datetime=\"2014-08-05T00:00:00+00:00\">through 05 Aug.</time>, \n <time class=\"year\" datetime=\"2014\">2014</time>\n</p>\n\n\n\n\n<p>Location: Brisbane, Australia</p>\n\n\n<p>PyCon Australia 2014</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/696/\">PyCon AU 2018</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2018-08-24T00:00:00+00:00\">From 24 Aug.</time> \n <time class=\"date-end\" datetime=\"2018-08-28T00:00:00+00:00\">through 28 Aug.</time>, \n <time class=\"year\" datetime=\"2018\">2018</time>\n</p>\n\n\n\n\n<p>Location: ICC, Sydney, Australia</p>\n\n\n<p>PyCon AU 2018</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/1216/\">PyCon APAC 2022</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2022-09-03T00:00:00+00:00\">From 03 Sept.</time> \n <time class=\"date-end\" datetime=\"2022-09-04T00:00:00+00:00\">through 04 Sept.</time>, \n <time class=\"year\" datetime=\"2022\">2022</time>\n</p>\n\n\n\n\n<p>Location: Online, Taiwan</p>\n\n\n<p>PyCon APAC 2022 (hosted by PyCon Taiwan)</p>\n </li>\n \n <li>\n \n<h3><a href=\"/psf/records/board/minutes/2013-02-06\">2013-02-06 PSF Board Meeting Minutes</a></h3>\n<p>\n ...<span class=\"highlighted\">PyCon</span> AV Management\n8.3 <span class=\"highlighted\">PyCon</span> Budgeting\n8.4 <span class=\"highlighted\">PyCon</span> Catering\n8.5 <span class=\"highlighted\">PyCon</span> Contract Negotiations\n8.6 <span class=\"highlighted\">PyCon</span> Electrical\n8.7 <span class=\"highlighted\">PyCon</span> Exhibit Hall\n8.8 <span class=\"highlighted\">PyCon</span> Financial Aid\n8.9 Future Event Planning\n8.10 <span class=\"highlighted\">PyCon</span> Hotel/CC Management\n8.11 <span class=\"highlighted\">PyCon</span> Housing Management\n8.12 <span class=\"highlighted\">PyCon</span> Internet\n8.13 <span class=\"highlighted\">PyCon</span> Printing\n8.14 <span class=\"highlighted\">PyCon</span>...\n</p>\n\n </li>\n \n <li>\n \n<h3><a href=\"/psf/volunteer/pycon\">Volunteer Opportunities for PyCon US</a></h3>\n<p>\n ...<span class=\"highlighted\">PyCon</span> US 2022 and 2023 in Salt Lake City.\nApplications are closed for the Travel Grant Committee\n<span class=\"highlighted\">PyCon</span> Charlas Committee\nLa Python Software Foundation y el Staff de la <span class=\"highlighted\">PyCon</span> promueve y aprecia la participación de voluntaries. Nuestra misión en apoyar y facilitar el crecimiento de una comunidad diversa e internacional y esto requiere la participación de la comunidad en si misma. El voluntariado para los comítes de la <span class=\"highlighted\">PyCon</span> US son una forma de involucrarse y hacer la diferencia. Si te gustaría uni...\n</p>\n\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/333/\">PyCon Ireland 2015</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2015-10-24T00:00:00+00:00\">From 24 Oct.</time> \n <time class=\"date-end\" datetime=\"2015-10-25T00:00:00+00:00\">through 25 Oct.</time>, \n <time class=\"year\" datetime=\"2015\">2015</time>\n</p>\n\n\n\n\n<p>Location: Radisson Blu Royal Hotel Dublin, Golden Ln, Dublin 8</p>\n\n\n<p>PyCon Ireland 2015</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/273/\">PyCon AU 2015</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2015-07-31T00:00:00+00:00\">From 31 July</time> \n <time class=\"date-end\" datetime=\"2015-08-04T00:00:00+00:00\">through 04 Aug.</time>, \n <time class=\"year\" datetime=\"2015\">2015</time>\n</p>\n\n\n\n\n<p>Location: Pullman Brisbane King George Square, Roma Street, Brisbane QLD 4000, Australia</p>\n\n\n<p>PyCon AU 2015</p>\n </li>\n \n <li>\n <h3>Event – <a href=\"/events/python-events/313/\">PyCon MY 2015</a></h3>\n\n\n\n<!-- Different start and end dates -->\n<p class=\"single-event-date\">\n <time class=\"date-start\" datetime=\"2015-08-21T00:00:00+00:00\">From 21 Aug.</time> \n <time class=\"date-end\" datetime=\"2015-08-23T00:00:00+00:00\">through 23 Aug.</time>, \n <time class=\"year\" datetime=\"2015\">2015</time>\n</p>\n\n\n\n\n<p>Location: Faculty of Computer Science and Information Technology, University of Malaya, Malaysia</p>\n\n\n<p>PyCon MY 2015</p>\n </li>\n \n </ul>\n \n <div>\n « Previous\n |\n <a href=\"?q=pycon&page=2\">Next »</a>\n </div>\n \n \n </form>\n\n\n </section>\n\n \n \n\n \n \n\n\n </div><!-- end .container -->\n </div><!-- end #content .content-wrapper -->\n\n <!-- Footer and social media list -->\n \n <footer id=\"site-map\" class=\"main-footer\" role=\"contentinfo\">\n <div class=\"main-footer-links\">\n <div class=\"container\">\n\n \n <a id=\"back-to-top-1\" class=\"jump-link\" href=\"#python-network\"><span aria-hidden=\"true\" class=\"icon-arrow-up\"><span>▲</span></span> Back to Top</a>\n\n \n\n<ul class=\"sitemap navigation menu do-not-print\" role=\"tree\" id=\"container\" style=\"position: relative; 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<link rel="apple-touch-icon-precomposed" href="/static/apple-touch-icon-precomposed.png">
driver.close()
2023-03-04 15:13:13 [selenium.webdriver.remote.remote_connection] DEBUG: DELETE http://localhost:61524/session/05b56449-533f-4e95-afb4-2237abec81fc/window {}
2023-03-04 15:13:14 [urllib3.connectionpool] DEBUG: http://localhost:61524 "DELETE /session/05b56449-533f-4e95-afb4-2237abec81fc/window HTTP/1.1" 200 12
2023-03-04 15:13:14 [selenium.webdriver.remote.remote_connection] DEBUG: Remote response: status=200 | data={"value":[]} | headers=HTTPHeaderDict({'content-type': 'application/json; charset=utf-8', 'cache-control': 'no-cache', 'content-length': '12', 'date': 'Sat, 04 Mar 2023 14:13:13 GMT'})
2023-03-04 15:13:14 [selenium.webdriver.remote.remote_connection] DEBUG: Finished Request
Pakiet [scikit-learn](https://scikit-learn.org/stable/ jest najpopularniejszym narzędziem do uczenia maszynowego w języku Python
Do wizualizacji wykorzystamy pakiet mlextend
conda install -c conda-forge mlxtendalbo
pip install --user mlxtendPrzykłady w tej sekcji zostały zaadaptowane na podstawie Raschka, Python Machine Learning, 2nd edition
Zobacz też więcej ciekawych przykładów do pobrania ze strony https://github.com/rasbt/python-machine-learning-book-2nd-edition
---- Powrót do spisu treści ----
from sklearn import datasets
import numpy as np
iris = datasets.load_iris()
# wszystkie wiersze - 3i4 kolumna
X = iris.data[:, [2, 3]]
y = iris.target
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.3, random_state=1, stratify=y)
from sklearn.preprocessing import StandardScaler
sc = StandardScaler()
sc.fit(X_train)
X_train_std = sc.transform(X_train)
X_test_std = sc.transform(X_test)
from sklearn.linear_model import Perceptron
ppn = Perceptron(max_iter=50, eta0=0.1,random_state=0)
ppn.fit(X_train_std, y_train)
y_pred = ppn.predict(X_test_std)
print('Classification errros: %d' % (y_test != y_pred).sum())
Classification errros: 3
np.vstack((y_test, y_pred, y_test != y_pred))
array([[2, 0, 0, 2, 1, 1, 2, 1, 2, 0, 0, 2, 0, 1, 0, 1, 2, 1, 1, 2, 2, 0,
1, 2, 1, 1, 1, 2, 0, 2, 0, 0, 1, 1, 2, 2, 0, 0, 0, 1, 2, 2, 1, 0,
0],
[2, 0, 0, 2, 1, 1, 2, 1, 2, 0, 0, 2, 0, 0, 0, 1, 2, 1, 1, 2, 2, 0,
1, 2, 1, 2, 0, 2, 0, 2, 0, 0, 1, 1, 2, 2, 0, 0, 0, 1, 2, 2, 1, 0,
0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0]])
sum((y_test != y_pred))
3
from sklearn.metrics import confusion_matrix
confusion_matrix(y_test, y_pred)
array([[15, 0, 0],
[ 2, 12, 1],
[ 0, 0, 15]], dtype=int64)
import matplotlib.pyplot as plt
plt.cla()
from mlxtend.plotting import plot_decision_regions
X_combined_std = np.vstack((X_train_std, X_test_std))
y_combined = np.hstack((y_train, y_test))
plot_decision_regions(X_combined_std, y_combined, clf=ppn, legend=2,X_highlight=X_test_std)
plt.xlabel('petal length [standardized]')
plt.ylabel('petal width [standardized]')
plt.legend(loc='upper left')
plt.show()
from sklearn.linear_model import LogisticRegression
lr = LogisticRegression(C=1000.0, random_state=0)
lr.fit(X_train_std, y_train)
plot_decision_regions(X_combined_std, y_combined, clf=lr, legend=2,X_highlight=X_test_std)
plt.xlabel('petal length [standardized]')
plt.ylabel('petal width [standardized]')
plt.legend(loc='upper left')
plt.show()
y_pred = lr.predict(X_test_std)
print('Classification errros: %d' % (y_test != y_pred).sum())
Classification errros: 1
from sklearn.tree import DecisionTreeClassifier
mytree = DecisionTreeClassifier(criterion='gini',
max_depth=4,
random_state=1)
mytree.fit(X_train, y_train)
X_combined = np.vstack((X_train, X_test))
y_combined = np.hstack((y_train, y_test))
plot_decision_regions(X_combined, y_combined, clf=mytree, legend=2,X_highlight=X_test)
plt.xlabel('petal length [cm]')
plt.ylabel('petal width [cm]')
plt.legend(loc='upper left')
plt.show()
Do wizualizacji drzewa zainstalujemy pydotplus wraz z graphviz
conda install -c conda-forge pydotplusfrom pydotplus import graph_from_dot_data
from sklearn.tree import export_graphviz
dot_data = export_graphviz(mytree,
filled=True, rounded=True,
class_names=['Setosa', 'Versicolor', 'Virginica'],
feature_names=['petal length', 'petal width'],
out_file=None)
graph = graph_from_dot_data(dot_data)
graph.write_png('tree.png')
from IPython.display import Image
Image('tree.png')
print(dot_data)
digraph Tree {
node [shape=box, style="filled, rounded", color="black", fontname="helvetica"] ;
edge [fontname="helvetica"] ;
0 [label="petal width <= 0.75\ngini = 0.667\nsamples = 105\nvalue = [35, 35, 35]\nclass = Setosa", fillcolor="#ffffff"] ;
1 [label="gini = 0.0\nsamples = 35\nvalue = [35, 0, 0]\nclass = Setosa", fillcolor="#e58139"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="petal length <= 4.75\ngini = 0.5\nsamples = 70\nvalue = [0, 35, 35]\nclass = Versicolor", fillcolor="#ffffff"] ;
0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
3 [label="gini = 0.0\nsamples = 30\nvalue = [0, 30, 0]\nclass = Versicolor", fillcolor="#39e581"] ;
2 -> 3 ;
4 [label="petal width <= 1.75\ngini = 0.219\nsamples = 40\nvalue = [0, 5, 35]\nclass = Virginica", fillcolor="#9355e9"] ;
2 -> 4 ;
5 [label="petal length <= 4.95\ngini = 0.5\nsamples = 8\nvalue = [0, 4, 4]\nclass = Versicolor", fillcolor="#ffffff"] ;
4 -> 5 ;
6 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2, 0]\nclass = Versicolor", fillcolor="#39e581"] ;
5 -> 6 ;
7 [label="gini = 0.444\nsamples = 6\nvalue = [0, 2, 4]\nclass = Virginica", fillcolor="#c09cf2"] ;
5 -> 7 ;
8 [label="petal length <= 4.85\ngini = 0.061\nsamples = 32\nvalue = [0, 1, 31]\nclass = Virginica", fillcolor="#853fe6"] ;
4 -> 8 ;
9 [label="gini = 0.444\nsamples = 3\nvalue = [0, 1, 2]\nclass = Virginica", fillcolor="#c09cf2"] ;
8 -> 9 ;
10 [label="gini = 0.0\nsamples = 29\nvalue = [0, 0, 29]\nclass = Virginica", fillcolor="#8139e5"] ;
8 -> 10 ;
}
import numpy as np
from sklearn import tree
import urllib.request as ul
from pydotplus import graph_from_dot_data
from sklearn.tree import export_graphviz
url = 'http://szufel.pl/python/iris_data.csv'
response = ul.urlopen(url)
#f = open("plik.csv")
z = np.genfromtxt(response,delimiter=",",\
dtype=None,names=True, encoding="UTF-8")
z
array([(5.1, 3.5, 1.4, 0.2, 'Iris-setosa'),
(4.9, 3. , 1.4, 0.2, 'Iris-setosa'),
(4.7, 3.2, 1.3, 0.2, 'Iris-setosa'),
(4.6, 3.1, 1.5, 0.2, 'Iris-setosa'),
(5. , 3.6, 1.4, 0.2, 'Iris-setosa'),
(5.4, 3.9, 1.7, 0.4, 'Iris-setosa'),
(4.6, 3.4, 1.4, 0.3, 'Iris-setosa'),
(5. , 3.4, 1.5, 0.2, 'Iris-setosa'),
(4.4, 2.9, 1.4, 0.2, 'Iris-setosa'),
(4.9, 3.1, 1.5, 0.1, 'Iris-setosa'),
(5.4, 3.7, 1.5, 0.2, 'Iris-setosa'),
(4.8, 3.4, 1.6, 0.2, 'Iris-setosa'),
(4.8, 3. , 1.4, 0.1, 'Iris-setosa'),
(4.3, 3. , 1.1, 0.1, 'Iris-setosa'),
(5.8, 4. , 1.2, 0.2, 'Iris-setosa'),
(5.7, 4.4, 1.5, 0.4, 'Iris-setosa'),
(5.4, 3.9, 1.3, 0.4, 'Iris-setosa'),
(5.1, 3.5, 1.4, 0.3, 'Iris-setosa'),
(5.7, 3.8, 1.7, 0.3, 'Iris-setosa'),
(5.1, 3.8, 1.5, 0.3, 'Iris-setosa'),
(5.4, 3.4, 1.7, 0.2, 'Iris-setosa'),
(5.1, 3.7, 1.5, 0.4, 'Iris-setosa'),
(4.6, 3.6, 1. , 0.2, 'Iris-setosa'),
(5.1, 3.3, 1.7, 0.5, 'Iris-setosa'),
(4.8, 3.4, 1.9, 0.2, 'Iris-setosa'),
(5. , 3. , 1.6, 0.2, 'Iris-setosa'),
(5. , 3.4, 1.6, 0.4, 'Iris-setosa'),
(5.2, 3.5, 1.5, 0.2, 'Iris-setosa'),
(5.2, 3.4, 1.4, 0.2, 'Iris-setosa'),
(4.7, 3.2, 1.6, 0.2, 'Iris-setosa'),
(4.8, 3.1, 1.6, 0.2, 'Iris-setosa'),
(5.4, 3.4, 1.5, 0.4, 'Iris-setosa'),
(5.2, 4.1, 1.5, 0.1, 'Iris-setosa'),
(5.5, 4.2, 1.4, 0.2, 'Iris-setosa'),
(4.9, 3.1, 1.5, 0.1, 'Iris-setosa'),
(5. , 3.2, 1.2, 0.2, 'Iris-setosa'),
(5.5, 3.5, 1.3, 0.2, 'Iris-setosa'),
(4.9, 3.1, 1.5, 0.1, 'Iris-setosa'),
(4.4, 3. , 1.3, 0.2, 'Iris-setosa'),
(5.1, 3.4, 1.5, 0.2, 'Iris-setosa'),
(5. , 3.5, 1.3, 0.3, 'Iris-setosa'),
(4.5, 2.3, 1.3, 0.3, 'Iris-setosa'),
(4.4, 3.2, 1.3, 0.2, 'Iris-setosa'),
(5. , 3.5, 1.6, 0.6, 'Iris-setosa'),
(5.1, 3.8, 1.9, 0.4, 'Iris-setosa'),
(4.8, 3. , 1.4, 0.3, 'Iris-setosa'),
(5.1, 3.8, 1.6, 0.2, 'Iris-setosa'),
(4.6, 3.2, 1.4, 0.2, 'Iris-setosa'),
(5.3, 3.7, 1.5, 0.2, 'Iris-setosa'),
(5. , 3.3, 1.4, 0.2, 'Iris-setosa'),
(7. , 3.2, 4.7, 1.4, 'Iris-versicolor'),
(6.4, 3.2, 4.5, 1.5, 'Iris-versicolor'),
(6.9, 3.1, 4.9, 1.5, 'Iris-versicolor'),
(5.5, 2.3, 4. , 1.3, 'Iris-versicolor'),
(6.5, 2.8, 4.6, 1.5, 'Iris-versicolor'),
(5.7, 2.8, 4.5, 1.3, 'Iris-versicolor'),
(6.3, 3.3, 4.7, 1.6, 'Iris-versicolor'),
(4.9, 2.4, 3.3, 1. , 'Iris-versicolor'),
(6.6, 2.9, 4.6, 1.3, 'Iris-versicolor'),
(5.2, 2.7, 3.9, 1.4, 'Iris-versicolor'),
(5. , 2. , 3.5, 1. , 'Iris-versicolor'),
(5.9, 3. , 4.2, 1.5, 'Iris-versicolor'),
(6. , 2.2, 4. , 1. , 'Iris-versicolor'),
(6.1, 2.9, 4.7, 1.4, 'Iris-versicolor'),
(5.6, 2.9, 3.6, 1.3, 'Iris-versicolor'),
(6.7, 3.1, 4.4, 1.4, 'Iris-versicolor'),
(5.6, 3. , 4.5, 1.5, 'Iris-versicolor'),
(5.8, 2.7, 4.1, 1. , 'Iris-versicolor'),
(6.2, 2.2, 4.5, 1.5, 'Iris-versicolor'),
(5.6, 2.5, 3.9, 1.1, 'Iris-versicolor'),
(5.9, 3.2, 4.8, 1.8, 'Iris-versicolor'),
(6.1, 2.8, 4. , 1.3, 'Iris-versicolor'),
(6.3, 2.5, 4.9, 1.5, 'Iris-versicolor'),
(6.1, 2.8, 4.7, 1.2, 'Iris-versicolor'),
(6.4, 2.9, 4.3, 1.3, 'Iris-versicolor'),
(6.6, 3. , 4.4, 1.4, 'Iris-versicolor'),
(6.8, 2.8, 4.8, 1.4, 'Iris-versicolor'),
(6.7, 3. , 5. , 1.7, 'Iris-versicolor'),
(6. , 2.9, 4.5, 1.5, 'Iris-versicolor'),
(5.7, 2.6, 3.5, 1. , 'Iris-versicolor'),
(5.5, 2.4, 3.8, 1.1, 'Iris-versicolor'),
(5.5, 2.4, 3.7, 1. , 'Iris-versicolor'),
(5.8, 2.7, 3.9, 1.2, 'Iris-versicolor'),
(6. , 2.7, 5.1, 1.6, 'Iris-versicolor'),
(5.4, 3. , 4.5, 1.5, 'Iris-versicolor'),
(6. , 3.4, 4.5, 1.6, 'Iris-versicolor'),
(6.7, 3.1, 4.7, 1.5, 'Iris-versicolor'),
(6.3, 2.3, 4.4, 1.3, 'Iris-versicolor'),
(5.6, 3. , 4.1, 1.3, 'Iris-versicolor'),
(5.5, 2.5, 4. , 1.3, 'Iris-versicolor'),
(5.5, 2.6, 4.4, 1.2, 'Iris-versicolor'),
(6.1, 3. , 4.6, 1.4, 'Iris-versicolor'),
(5.8, 2.6, 4. , 1.2, 'Iris-versicolor'),
(5. , 2.3, 3.3, 1. , 'Iris-versicolor'),
(5.6, 2.7, 4.2, 1.3, 'Iris-versicolor'),
(5.7, 3. , 4.2, 1.2, 'Iris-versicolor'),
(5.7, 2.9, 4.2, 1.3, 'Iris-versicolor'),
(6.2, 2.9, 4.3, 1.3, 'Iris-versicolor'),
(5.1, 2.5, 3. , 1.1, 'Iris-versicolor'),
(5.7, 2.8, 4.1, 1.3, 'Iris-versicolor'),
(6.3, 3.3, 6. , 2.5, 'Iris-virginica'),
(5.8, 2.7, 5.1, 1.9, 'Iris-virginica'),
(7.1, 3. , 5.9, 2.1, 'Iris-virginica'),
(6.3, 2.9, 5.6, 1.8, 'Iris-virginica'),
(6.5, 3. , 5.8, 2.2, 'Iris-virginica'),
(7.6, 3. , 6.6, 2.1, 'Iris-virginica'),
(4.9, 2.5, 4.5, 1.7, 'Iris-virginica'),
(7.3, 2.9, 6.3, 1.8, 'Iris-virginica'),
(6.7, 2.5, 5.8, 1.8, 'Iris-virginica'),
(7.2, 3.6, 6.1, 2.5, 'Iris-virginica'),
(6.5, 3.2, 5.1, 2. , 'Iris-virginica'),
(6.4, 2.7, 5.3, 1.9, 'Iris-virginica'),
(6.8, 3. , 5.5, 2.1, 'Iris-virginica'),
(5.7, 2.5, 5. , 2. , 'Iris-virginica'),
(5.8, 2.8, 5.1, 2.4, 'Iris-virginica'),
(6.4, 3.2, 5.3, 2.3, 'Iris-virginica'),
(6.5, 3. , 5.5, 1.8, 'Iris-virginica'),
(7.7, 3.8, 6.7, 2.2, 'Iris-virginica'),
(7.7, 2.6, 6.9, 2.3, 'Iris-virginica'),
(6. , 2.2, 5. , 1.5, 'Iris-virginica'),
(6.9, 3.2, 5.7, 2.3, 'Iris-virginica'),
(5.6, 2.8, 4.9, 2. , 'Iris-virginica'),
(7.7, 2.8, 6.7, 2. , 'Iris-virginica'),
(6.3, 2.7, 4.9, 1.8, 'Iris-virginica'),
(6.7, 3.3, 5.7, 2.1, 'Iris-virginica'),
(7.2, 3.2, 6. , 1.8, 'Iris-virginica'),
(6.2, 2.8, 4.8, 1.8, 'Iris-virginica'),
(6.1, 3. , 4.9, 1.8, 'Iris-virginica'),
(6.4, 2.8, 5.6, 2.1, 'Iris-virginica'),
(7.2, 3. , 5.8, 1.6, 'Iris-virginica'),
(7.4, 2.8, 6.1, 1.9, 'Iris-virginica'),
(7.9, 3.8, 6.4, 2. , 'Iris-virginica'),
(6.4, 2.8, 5.6, 2.2, 'Iris-virginica'),
(6.3, 2.8, 5.1, 1.5, 'Iris-virginica'),
(6.1, 2.6, 5.6, 1.4, 'Iris-virginica'),
(7.7, 3. , 6.1, 2.3, 'Iris-virginica'),
(6.3, 3.4, 5.6, 2.4, 'Iris-virginica'),
(6.4, 3.1, 5.5, 1.8, 'Iris-virginica'),
(6. , 3. , 4.8, 1.8, 'Iris-virginica'),
(6.9, 3.1, 5.4, 2.1, 'Iris-virginica'),
(6.7, 3.1, 5.6, 2.4, 'Iris-virginica'),
(6.9, 3.1, 5.1, 2.3, 'Iris-virginica'),
(5.8, 2.7, 5.1, 1.9, 'Iris-virginica'),
(6.8, 3.2, 5.9, 2.3, 'Iris-virginica'),
(6.7, 3.3, 5.7, 2.5, 'Iris-virginica'),
(6.7, 3. , 5.2, 2.3, 'Iris-virginica'),
(6.3, 2.5, 5. , 1.9, 'Iris-virginica'),
(6.5, 3. , 5.2, 2. , 'Iris-virginica'),
(6.2, 3.4, 5.4, 2.3, 'Iris-virginica'),
(5.9, 3. , 5.1, 1.8, 'Iris-virginica')],
dtype=[('sepal_length', '<f8'), ('sepal_width', '<f8'), ('petal_length', '<f8'), ('petal_width', '<f8'), ('class', '<U15')])
x = np.column_stack([z[name] for name in z.dtype.names[:-1]])
y = z[z.dtype.names[-1]]
print(z.dtype.names)
z['sepal_length']
('sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'class')
array([5.1, 4.9, 4.7, 4.6, 5. , 5.4, 4.6, 5. , 4.4, 4.9, 5.4, 4.8, 4.8,
4.3, 5.8, 5.7, 5.4, 5.1, 5.7, 5.1, 5.4, 5.1, 4.6, 5.1, 4.8, 5. ,
5. , 5.2, 5.2, 4.7, 4.8, 5.4, 5.2, 5.5, 4.9, 5. , 5.5, 4.9, 4.4,
5.1, 5. , 4.5, 4.4, 5. , 5.1, 4.8, 5.1, 4.6, 5.3, 5. , 7. , 6.4,
6.9, 5.5, 6.5, 5.7, 6.3, 4.9, 6.6, 5.2, 5. , 5.9, 6. , 6.1, 5.6,
6.7, 5.6, 5.8, 6.2, 5.6, 5.9, 6.1, 6.3, 6.1, 6.4, 6.6, 6.8, 6.7,
6. , 5.7, 5.5, 5.5, 5.8, 6. , 5.4, 6. , 6.7, 6.3, 5.6, 5.5, 5.5,
6.1, 5.8, 5. , 5.6, 5.7, 5.7, 6.2, 5.1, 5.7, 6.3, 5.8, 7.1, 6.3,
6.5, 7.6, 4.9, 7.3, 6.7, 7.2, 6.5, 6.4, 6.8, 5.7, 5.8, 6.4, 6.5,
7.7, 7.7, 6. , 6.9, 5.6, 7.7, 6.3, 6.7, 7.2, 6.2, 6.1, 6.4, 7.2,
7.4, 7.9, 6.4, 6.3, 6.1, 7.7, 6.3, 6.4, 6. , 6.9, 6.7, 6.9, 5.8,
6.8, 6.7, 6.7, 6.3, 6.5, 6.2, 5.9])
clf = tree.DecisionTreeClassifier(max_depth=3)
clf = clf.fit(x, y)
dot_data = export_graphviz(clf,
filled=True, rounded=True,
class_names=['Setosa', 'Versicolor', 'Virginica'],
feature_names=['sepal_length','sepal_width','petal length', 'petal width'],
out_file=None)
graph = graph_from_dot_data(dot_data)
graph.write_png('tree2.png')
from IPython.display import Image
Image('tree2.png')
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
import pandas as pd
# x is from the previous example
est = KMeans(n_clusters=3)
est.fit(x)
df = pd.DataFrame({z.dtype.names[i] : x[:,i] for i in range(4) })
from pandas.plotting import scatter_matrix
scatter_matrix(df,c=est.labels_, marker='o')
plt.show()
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=8.0.
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-Light.ttf', name='LG Smart UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Bold.ttf', name='JuliaMono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttf', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG PC.ttf', name='LG PC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-Bold.ttf', name='LG Smart UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-BoldLatin.ttf', name='JuliaMono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NirmalaS.ttf', name='Nirmala UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-MediumItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-Regular.ttf', name='LG Smart UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Black.ttf', name='JuliaMono', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-LightItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:33 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-RegularItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-ExtraBold.ttf', name='JuliaMono', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Medium.ttf', name='JuliaMono', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-RegularLatin.ttf', name='JuliaMono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-SemiBold.ttf', name='JuliaMono', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-SemiBoldItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\marlett.ttf', name='Marlett', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\holomdl2.ttf', name='HoloLens MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-ExtraBoldItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.43
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NirmalaB.ttf', name='Nirmala UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-SemiBold.ttf', name='LG Smart UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-BoldItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Light.ttf', name='JuliaMono', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Regular.ttf', name='JuliaMono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-BlackItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:34 [matplotlib.font_manager] DEBUG: findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=8.0 to DejaVu Sans ('C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
import pandas as pd
import numpy as np
df_wine = pd.read_csv('https://archive.ics.uci.edu/'
'ml/machine-learning-databases/wine/wine.data',
header=None)
df_wine.columns = ['Class label', 'Alcohol', 'Malic acid', 'Ash',
'Alcalinity of ash', 'Magnesium', 'Total phenols',
'Flavanoids', 'Nonflavanoid phenols', 'Proanthocyanins',
'Color intensity', 'Hue', 'OD280/OD315 of diluted wines',
'Proline']
df_wine
| Class label | Alcohol | Malic acid | Ash | Alcalinity of ash | Magnesium | Total phenols | Flavanoids | Nonflavanoid phenols | Proanthocyanins | Color intensity | Hue | OD280/OD315 of diluted wines | Proline | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 14.23 | 1.71 | 2.43 | 15.6 | 127 | 2.80 | 3.06 | 0.28 | 2.29 | 5.64 | 1.04 | 3.92 | 1065 |
| 1 | 1 | 13.20 | 1.78 | 2.14 | 11.2 | 100 | 2.65 | 2.76 | 0.26 | 1.28 | 4.38 | 1.05 | 3.40 | 1050 |
| 2 | 1 | 13.16 | 2.36 | 2.67 | 18.6 | 101 | 2.80 | 3.24 | 0.30 | 2.81 | 5.68 | 1.03 | 3.17 | 1185 |
| 3 | 1 | 14.37 | 1.95 | 2.50 | 16.8 | 113 | 3.85 | 3.49 | 0.24 | 2.18 | 7.80 | 0.86 | 3.45 | 1480 |
| 4 | 1 | 13.24 | 2.59 | 2.87 | 21.0 | 118 | 2.80 | 2.69 | 0.39 | 1.82 | 4.32 | 1.04 | 2.93 | 735 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 173 | 3 | 13.71 | 5.65 | 2.45 | 20.5 | 95 | 1.68 | 0.61 | 0.52 | 1.06 | 7.70 | 0.64 | 1.74 | 740 |
| 174 | 3 | 13.40 | 3.91 | 2.48 | 23.0 | 102 | 1.80 | 0.75 | 0.43 | 1.41 | 7.30 | 0.70 | 1.56 | 750 |
| 175 | 3 | 13.27 | 4.28 | 2.26 | 20.0 | 120 | 1.59 | 0.69 | 0.43 | 1.35 | 10.20 | 0.59 | 1.56 | 835 |
| 176 | 3 | 13.17 | 2.59 | 2.37 | 20.0 | 120 | 1.65 | 0.68 | 0.53 | 1.46 | 9.30 | 0.60 | 1.62 | 840 |
| 177 | 3 | 14.13 | 4.10 | 2.74 | 24.5 | 96 | 2.05 | 0.76 | 0.56 | 1.35 | 9.20 | 0.61 | 1.60 | 560 |
178 rows × 14 columns
df_wine['Class label'].values
array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3], dtype=int64)
print('Class labels', np.unique(df_wine['Class label']))
Class labels [1 2 3]
a, b = 6, 7
from sklearn.model_selection import train_test_split
X, y = df_wine.iloc[:, 1:].values, df_wine.iloc[:, 0].values
X_train, X_test, y_train, y_test =\
train_test_split(X, y,
test_size=0.3,
random_state=0,
stratify=y)
from sklearn.preprocessing import StandardScaler
stdsc = StandardScaler()
#stdsc.fit(X_train)
#X_train_std = stdsc.transform(X_train)
X_train_std = stdsc.fit_transform(X_train)
X_test_std = stdsc.transform(X_test)
df_wine.columns
Index(['Class label', 'Alcohol', 'Malic acid', 'Ash', 'Alcalinity of ash',
'Magnesium', 'Total phenols', 'Flavanoids', 'Nonflavanoid phenols',
'Proanthocyanins', 'Color intensity', 'Hue',
'OD280/OD315 of diluted wines', 'Proline'],
dtype='object')
from sklearn.ensemble import RandomForestClassifier
import matplotlib.pyplot as plt
feat_labels = df_wine.columns[1:]
forest = RandomForestClassifier(n_estimators=500,
random_state=0)
forest.fit(X_train, y_train)
y_pred = forest.predict(X_test)
y_pred == y_test
array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True])
importances = forest.feature_importances_
importances
array([0.11411629, 0.02696095, 0.01196206, 0.02005486, 0.03374741,
0.05124025, 0.16276593, 0.01424631, 0.0253044 , 0.16765709,
0.06108374, 0.13805384, 0.17280686])
indices = np.argsort(importances)[::-1]
for f in range(X_train.shape[1]):
print("%2d) %-*s %f" % (f + 1, 30, feat_labels[indices[f]], importances[indices[f]]))
plt.title('Feature Importance')
plt.bar(range(X_train.shape[1]), importances[indices], align='center')
plt.xticks(range(X_train.shape[1]), feat_labels[indices], rotation=90)
plt.xlim([-1, X_train.shape[1]])
plt.tight_layout()
plt.show()
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0. 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-Light.ttf', name='LG Smart UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Bold.ttf', name='JuliaMono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Nirmala.ttf', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24 2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
1) Proline 0.172807 2) Color intensity 0.167657 3) Flavanoids 0.162766 4) OD280/OD315 of diluted wines 0.138054 5) Alcohol 0.114116 6) Hue 0.061084 7) Total phenols 0.051240 8) Magnesium 0.033747 9) Malic acid 0.026961 10) Proanthocyanins 0.025304 11) Alcalinity of ash 0.020055 12) Nonflavanoid phenols 0.014246 13) Ash 0.011962
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG PC.ttf', name='LG PC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-Bold.ttf', name='LG Smart UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-BoldLatin.ttf', name='JuliaMono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NirmalaS.ttf', name='Nirmala UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-MediumItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=500, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-Regular.ttf', name='LG Smart UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Black.ttf', name='JuliaMono', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-LightItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-RegularItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-ExtraBold.ttf', name='JuliaMono', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Medium.ttf', name='JuliaMono', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-RegularLatin.ttf', name='JuliaMono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-SemiBold.ttf', name='JuliaMono', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-SemiBoldItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\marlett.ttf', name='Marlett', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\holomdl2.ttf', name='HoloLens MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-ExtraBoldItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=800, stretch='normal', size='scalable')) = 11.43
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NirmalaB.ttf', name='Nirmala UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LG_Smart_UI-SemiBold.ttf', name='LG Smart UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-BoldItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Light.ttf', name='JuliaMono', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-Regular.ttf', name='JuliaMono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\JuliaMono-BlackItalic.ttf', name='JuliaMono', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: score(FontEntry(fname='C:\\Windows\\Fonts\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05
2023-03-04 15:19:37 [matplotlib.font_manager] DEBUG: findfont: Matching sans\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to DejaVu Sans ('C:\\Anaconda3\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\ttf\\DejaVuSans.ttf') with score of 0.050000.
x = 5
y = 100
print("%4d %-*s text %8.2f " % (x, 20, "Opis 1", 0.05))
print("%4d %-*s text %8.2f " % (y, 20, "Opis 2s s s ", 0.4 ))
print("%4d %-*s text %8.2f " % (y, 20, "Opis 3s s s s ", 1000.4 ))
5 Opis 1 text 0.05 100 Opis 2s s s text 0.40 100 Opis 3s s s s text 1000.40
for f in range(X_train.shape[1]):
print("%2d) %-*s %f" % (f + 1, 30, feat_labels[indices[f]], importances[indices[f]]))
1) Proline 0.172807 2) Color intensity 0.167657 3) Flavanoids 0.162766 4) OD280/OD315 of diluted wines 0.138054 5) Alcohol 0.114116 6) Hue 0.061084 7) Total phenols 0.051240 8) Magnesium 0.033747 9) Malic acid 0.026961 10) Proanthocyanins 0.025304 11) Alcalinity of ash 0.020055 12) Nonflavanoid phenols 0.014246 13) Ash 0.011962
X_train2 = X_train[:, :-1]
print(X_train2.shape)
X_test2 = X_test[:, :-1]
print(X_test2.shape)
(124, 12) (54, 12)
forest.fit(X_train2, y_train)
y_pred = forest.predict(X_test2)
importances = forest.feature_importances_
indices = np.argsort(importances)[::-1]
for f in range(X_train2.shape[1]):
print("%2d) %-*s %f" % (f + 1, 30, feat_labels[indices[f]], importances[indices[f]]))
1) Color intensity 0.207883 2) Flavanoids 0.175342 3) Alcohol 0.150646 4) OD280/OD315 of diluted wines 0.144995 5) Total phenols 0.071338 6) Hue 0.065862 7) Magnesium 0.042051 8) Malic acid 0.037948 9) Alcalinity of ash 0.035822 10) Proanthocyanins 0.028320 11) Ash 0.022160 12) Nonflavanoid phenols 0.017632
import random as rd2
rd2.seed(0)
[rd2.random() for i in range(5)]
[0.8444218515250481, 0.7579544029403025, 0.420571580830845, 0.25891675029296335, 0.5112747213686085]
import numpy as np
import numpy.random as rd
rd.seed(0)
rd.random(5)
array([0.5488135 , 0.71518937, 0.60276338, 0.54488318, 0.4236548 ])
import numpy as np
import numpy.random as rd
rd.seed(0)
rd.random(5)
array([0.5488135 , 0.71518937, 0.60276338, 0.54488318, 0.4236548 ])
import numpy as np
popyt = np.array([14000,13000,14000,14000,15500, \
10500,16000,8000,5000,11000,8000,15000] )
cena_pl, cena_ch, cena_wyprz = 100, 80, 40
transport = 100_000
popyt_sr = np.average(popyt)
popyt_std = np.std(popyt,ddof=1)
popyt_sr, popyt_std
(12000.0, 3496.7517394394367)
import numpy.random as rd
#decyzja
zakupy = 12000
popyty = np.rint(rd.normal(popyt_sr, popyt_std, 1000)).astype('int')
wydatki = cena_ch * zakupy + transport
sum(popyty[popyty < zakupy])
4863278
sum(popyty*(popyty<zakupy))
4863278
wydatki = zakupy*cena_ch + transport
przychody = \
(popyty >= zakupy)*zakupy*cena_pl + \
(popyty < zakupy)*popyty*cena_pl + \
(popyty < zakupy)*(zakupy-popyty)* \
cena_wyprz
zyski = przychody - wydatki
def symuluj(zakupy,liczba_symulacji):
np.random.seed(0)
popyty = np.round(np.random.normal( \
popyt_sr,popyt_std, liczba_symulacji)).astype('int')
wydatki = zakupy*cena_ch + transport
#sprzedaze=np.where(\
# popyty>=zakupy,zakupy,popyty)
przychody = \
(popyty >= zakupy)*zakupy*cena_pl + \
(popyty < zakupy)*popyty*cena_pl + \
(popyty < zakupy)*(zakupy-popyty)* \
cena_wyprz
zyski = przychody - wydatki
return (np.mean(zyski),np.std(zyski))
symuluj(12000, 100)
(61335.8, 118294.68083713652)
eksper = range(100,16100,100)
wyniki = [symuluj(zakupy,10000) \
for zakupy in eksper]
wyniki
[(-98007.068, 706.764659116456), (-96008.04, 767.6597152384641), (-94009.24, 832.4426120760515), (-92010.44, 900.5648707339188), (-90011.64, 971.3241428071266), (-88012.84, 1044.184473357079), (-86014.04, 1118.7354282402964), (-84015.24, 1194.660546933731), (-82016.44, 1271.713728163693), (-80017.64, 1349.7017857289807), (-78019.032, 1428.5980900785214), (-76021.426, 1511.1280576192078), (-74024.018, 1598.5214592478887), (-72027.33, 1691.8304380463196), (-70031.422, 1792.4212836038291), (-68037.512, 1903.677485777462), (-66044.712, 2028.9751001567272), (-64052.71, 2167.547594840769), (-62061.794, 2320.3045019057304), (-60071.394, 2486.294909451411), (-58081.444, 2663.6785381993823), (-56093.612, 2853.5352658511156), (-54106.932, 3056.5578069743747), (-52122.436, 3273.1060578453616), (-50139.938, 3504.463673111194), (-48159.126, 3750.978623789264), (-46178.512, 4011.0262459694773), (-44200.826, 4284.203113500106), (-42224.634, 4571.106650040448), (-40251.802, 4871.870026262605), (-38284.16, 5189.396047171578), (-36320.502, 5525.48738375141), (-34359.184, 5880.6409900744675), (-32398.184, 6252.7281327548535), (-30438.444, 6639.13919562348), (-28481.914, 7039.733311468837), (-26527.922, 7454.449060924356), (-24578.214, 7883.189697717796), (-22633.006, 8327.139052757797), (-20693.414, 8787.260084042351), (-18757.656, 9264.235240194626), (-16827.676, 9758.12512109903), (-14901.446, 10269.585017374558), (-12982.128, 10798.480357514016), (-11069.932, 11345.960250035076), (-9163.4, 11912.880392247713), (-7264.566, 12499.214272571058), (-5374.522, 13106.049230470486), (-3491.51, 13733.995685156597), (-1616.346, 14383.121582197793), (250.91, 15053.609139734564), (2110.546, 15745.54514336941), (3960.366, 16459.01568824953), (5800.766, 17194.383934681813), (7632.388, 17951.850381992826), (9451.968, 18731.273309814685), (11256.488, 19533.61959867797), (13049.23, 20360.180739057796), (14828.496, 21210.96783218493), (16593.242, 22086.385766110216), (18340.948, 22987.08928901822), (20070.426, 23913.748279567637), (21779.426, 24867.144698789285), (23465.668, 25848.307615659793), (25131.06, 26858.652134394237), (26776.52, 27898.806144521666), (28398.382, 28968.5339356702), (29997.438, 30068.691478615357), (31574.36, 31199.546867709472), (33121.048, 32360.139009925406), (34642.332, 33552.339207896905), (36134.534, 34775.57519413365), (37595.728, 36030.053671761525), (39029.43, 37316.81931026679), (40431.5, 38634.993587549616), (41804.44, 39985.36560351049), (43146.78, 41367.23027556474), (44459.144, 42780.635102196225), (45738.082, 44224.41613997042), (46983.486, 45698.62410234912), (48197.642, 47203.57370030193), (49377.988, 48737.87758152643), (50520.282, 50300.5478876769), (51625.22, 51891.44777737079), (52691.482, 53510.08338812113), (53712.816, 55154.52816578294), (54686.66, 56824.24299086086), (55613.944, 58519.74029987543), (56495.532, 60241.215104253795), (57326.87, 61987.05125397642), (58105.156, 63756.25012918862), (58836.156, 65550.78496207093), (59514.404, 67368.25204474867), (60137.206, 69207.4235456975), (60703.044, 71067.55334422358), (61220.774, 72951.77256736757), (61689.592, 74858.8729847941), (62106.828, 76786.97157889753), (62474.822, 78736.33247458455), (62784.922, 80702.31195085996), (63038.856, 82685.29348978127), (63233.714, 84683.13592095066), (63359.332, 86690.65167429401), (63423.888, 88711.35055585307), (63428.27, 90744.9277434673), (63378.466, 92793.38945294995), (63257.568, 94847.17372239078), (63071.918, 96908.9736072015), (62815.762, 98974.95037795855), (62496.972, 101048.51673543366), (62114.51, 103128.04215372218), (61671.544, 105214.33893503329), (61161.36, 107302.22641003494), (60582.14, 109389.7644150512), (59930.332, 111473.67606197337), (59206.308, 113553.20499664084), (58407.32, 115625.42448171855), (57536.734, 117691.4097011895), (56584.434, 119743.24071370227), (55556.378, 121783.8168584033), (54454.474, 123813.02988031317), (53282.328, 125832.02340970447), (52049.798, 127846.41487612859), (50749.36, 129849.05506868503), (49381.944, 131839.35574167853), (47937.752, 133808.33580545904), (46423.078, 135759.2950656636), (44833.032, 137686.8761513855), (43170.926, 139592.10637662333), (41444.932, 141480.05118374596), (39651.672, 143346.28850669423), (37797.494, 145194.4896516392), (35889.436, 147029.17182764073), (33925.77, 148847.20776026367), (31894.508, 150636.20262393082), (29793.31, 152392.42742526252), (27629.25, 154120.76453326302), (25410.794, 155827.47808858863), (23141.824, 157514.6941931229), (20809.788, 159168.6074381348), (18423.752, 160796.55905349), (15981.55, 162394.6681473179), (13487.052, 163965.39427192952), (10936.256, 165502.8685217947), (8330.944, 167007.38300443147), (5677.98, 168484.75543193694), (2976.302, 169932.28280478314), (215.728, 171336.91264146793), (-2594.688, 172707.31009341398), (-5451.442, 174045.91573559155), (-8351.618, 175354.62631553828), (-11302.128, 176623.66272601078), (-14298.166, 177857.22430229376), (-17340.08, 179053.39930197806), (-20421.444, 180218.66035256966), (-23538.244, 181356.7193129509), (-26692.178, 182464.10703646982), (-29883.402, 183539.18796111742), (-33115.666, 184575.62091949317), (-36379.118, 185585.3555297456)]
import matplotlib.pyplot as plt
plt.cla()
plt.plot(eksper,[w[0] for w in wyniki ],label="zysk")
plt.plot(eksper,[w[1] for w in wyniki ],label="ryzyko")
plt.xlabel("liczba zamowienionych kurtek")
plt.ylabel("zysk/ryzyko")
plt.legend()
plt.show()
import matplotlib.pyplot as plt
plt.cla()
plt.plot([w[0] for w in wyniki ],\
[w[1] for w in wyniki ])
plt.xlabel("zysk")
plt.ylabel("ryzyko")
plt.show()
### BADANIE DOMINACJI STOCHASTYCZNEJ
def symuluj2(zakupy,liczba_symulacji):
np.random.seed(0)
popyty = np.round(np.random.normal( \
popyt_sr,popyt_std, liczba_symulacji)).astype('int')
wydatki = zakupy*cena_ch + transport
#sprzedaze=np.where(\
# popyty>=zakupy,zakupy,popyty)
przychody = \
(popyty >= zakupy)*zakupy*cena_pl + \
(popyty < zakupy)*popyty*cena_pl + \
(popyty < zakupy)*(zakupy-popyty)* \
cena_wyprz
zyski = przychody - wydatki
return zyski
for zam in range(14_000,8_000,-1000):
z = symuluj2(zam, 10000)
plt.hist(z, bins=50, label="%d" % zam)
plt.legend
plt.xlabel("zysk")
plt.ylabel("liczba obs")
plt.show()
for zam in [10_000, 12_000]:
z = symuluj2(zam, 40000)
plt.hist(z, bins=200, label="%d" % zam, density=True, cumulative=True)
plt.legend(loc=2)
plt.xlabel("zysk")
plt.ylabel("prawdopodobienstwo ze zysk bedzie mniejszy niz")
plt.show()
import scipy.stats
import numpy as np
import matplotlib.pyplot as plt
zyski = symuluj2(11000,100000)
res = scipy.stats.cumfreq(zyski, \
numbins=1000)
x = res.lowerlimit + np.linspace(\
0, res.binsize*res.cumcount.size,\
res.cumcount.size)
y=res.cumcount/100000
plt.cla()
plt.plot(x,y)
zyski = symuluj2(12000,100000)
res = scipy.stats.cumfreq(zyski, \
numbins=1000)
x = res.lowerlimit + np.linspace(\
0, res.binsize*res.cumcount.size,\
res.cumcount.size)
y=res.cumcount/100000
plt.plot(x,y)
plt.title("Dystrybuanta empiryczna wynikow symulacji")
plt.show()
sprz_pr=[[0.05,0.25,0.20,0.25,0.20,0.05],\
[0.05,0.25,0.20,0.30,0.15,0.05]]
sprz=[[24000,28000,30000,31000,33000,36000],\
[2500,3500,6000,7500,9000,11000]]
koszt_pr=[[0.05,0.20,0.15,0.10,0.20,0.20,0.10],\
[0.05,0.15,0.20,0.10,0.25,0.15,0.10]]
koszt=[[2.94,2.96,2.98,3.00,3.02,3.04,3.07],\
[5.85,5.90,5.95,6.00,6.05,6.10,6.15]]
inwest_pr=[[0.05,0.10,0.15,0.20,0.30,0.20],\
[0.05,0.20,0.25,0.20,0.20,0.10]]
inwest=[[106000,108000,109000,110000,112000,115000],\
[113000,115000,116000,118000,120000,123000]]
import numpy.random as rd
N=1000000
cena = [4, 11.50]
rois = []
for sku in [0, 1]:
sprzedaz = rd.choice(sprz[sku], p=sprz_pr[sku], size=N)
koszt_jedn = rd.choice(koszt[sku], p=koszt_pr[sku], size=N)
inwestycje = rd.choice(inwest[sku], p=inwest_pr[sku], size=N)
roi = (cena[sku] - koszt_jedn)*sprzedaz / inwestycje
rois.append(roi)
plt.hist(rois[0],label="Pistol mean roi=%f" % np.mean(rois[0]),histtype='step',bins=100)
plt.hist(rois[1],label="Moto mean roi=%f" % np.mean(rois[1]),histtype='step',bins=100)
plt.xlabel("ROI")
plt.legend()
plt.show()
plt.hist(rois[0],label="Pistol mean roi=%f" % np.mean(rois[0]),histtype='step',bins=100, density=True, cumulative=True)
plt.hist(rois[1],label="Moto mean roi=%f" % np.mean(rois[1]),histtype='step',bins=100, density=True, cumulative=True)
plt.xlabel("ROI")
plt.ylabel("Prawdopodobienstwo ze ROI mniejsze niz")
plt.legend(loc=2)
plt.show()
import csv
import urllib.request as ul
import codecs
import matplotlib.pyplot as plt
import scipy as sc
from scipy.stats.stats import kstest
l_szkod = np.array([ # liczba polis # liczba szkod
3437, # 0
522, # 1
40, # 2
2, # 3
0, # 4
0 # 5
])
szkod_0_5 = np.arange(6)
srednia_l_szkod = \
sum( szkod_0_5 * l_szkod ) /sum(l_szkod)
srednia_l_szkod
0.1519620094976256
import pandas as pd
response = ul.urlopen('http://szufel.pl/pliki/szkody.txt') # , context=ctx
df = pd.read_csv(response, header=None, sep=";")
df.columns=["Id","szkody"]
szkody = df["szkody"].values
plt.hist(szkody,bins=20)
plt.show()
szkody_ln = np.log(szkody)
plt.hist(szkody_ln,bins=20)
plt.show()
print("Test KS",kstest(szkody_ln, sc.stats.norm.cdf, args=(np.mean(szkody_ln),np.std(szkody_ln))))
#H0 - rozklad normalny - p-value=0.99 brak podstaw do odrzucenia H0
sr_szkoda_ln = np.mean(szkody_ln)
std_szkoda_ln = np.std(szkody_ln)
Test KS KstestResult(statistic=0.016488541498851428, pvalue=0.9973600546107351)
import numpy.random as rd
def symuluj_ubezpieczenia(l_klientow,nadwyzka,skladka,srednia_l_szkod,sr_szkoda_ln,std_szkoda_ln):
rd.seed(0)
daty_umow = rd.randint(0,365, l_klientow)
kal_l_wplat = np.zeros(365+365+30, dtype="int")
for dataUmowy in daty_umow:
kal_l_wplat[dataUmowy] += 1
l_szkod_k = rd.poisson(srednia_l_szkod,l_klientow)
kal_l_wyplat = np.zeros(365+365+30, dtype="int") #365 to zapas
for k in range(l_klientow):
for s in range(l_szkod_k[k]):
#dla kazdej szkody ustal date wyplaty
data_wyp = daty_umow[k]+rd.randint(0,365)+rd.randint(15,30)
kal_l_wyplat[data_wyp] += 1
for dzien in range(len(kal_l_wyplat)):
nadwyzka += kal_l_wplat[dzien]*skladka
l_wyplat = kal_l_wyplat[dzien]
odszkodowania = 0
if l_wyplat>0:
odszkodowania=np.sum(rd.lognormal(sr_szkoda_ln,std_szkoda_ln,l_wyplat))
if ( nadwyzka < odszkodowania ):
return (nadwyzka-odszkodowania, dzien)
nadwyzka -= odszkodowania
return (nadwyzka, dzien)
import numpy as np
symuluj_ubezpieczenia(1000,10000,1000,srednia_l_szkod,sr_szkoda_ln,std_szkoda_ln)
(241358.1545042042, 759)
blok = 1
with open("C:/temp/wynik"+str(blok)+".txt","w") as f:
cs = csv.writer(f,delimiter="\t",quotechar=None)
for skladka in range(500+blok*100,500+(blok+1)*100,25):
rd.seed(0)
wyniki=[symuluj_ubezpieczenia(10000,10000,\
skladka,srednia_l_szkod,sr_szkoda_ln,std_szkoda_ln)\
for i in range(100)]
srednia = np.mean(wyniki)
liczba_ruin = np.sum([1 for x in wyniki if x[0] < 0])
ruiny = [x[1] for x in wyniki if x[0] < 0]
sredni_dzien_ruiny = -1
if len(ruiny) >= 1:
sredni_dzien_ruiny = np.mean(ruiny)
cs.writerow([skladka,srednia,liczba_ruin,sredni_dzien_ruiny])
import networkx as nx
g = nx.Graph()
for n in range(10):
g.add_node(n)
for n in range(10):
g.add_edge(n,n+1 if n+1 < 10 else 0)
pos = nx.shell_layout(g)
nx.draw(g, pos)
nx.draw_networkx_labels(g,pos,\
{n : str(n) for n in g.nodes},\
font_size=16)
plt.show()
2023-03-04 15:28:50 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:50 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:50 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:50 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
def generuj_siec(size=100, p=0.11, f1=3, f2=3, seed=1):
g = nx.watts_strogatz_graph(size,4,p,seed)
for n in g.nodes:
g.nodes[n]['state'] = 0
f1_count = 0
for n in np.random.choice(list(g.nodes),f1+f2,False):
if f1_count < f1:
g.nodes[n]['state'] = 1 #preferuje prod 1
f1_count += 1
else:
g.nodes[n]['state'] = 2 #preferuje prod 2
return g
def draw(g):
pos = nx.shell_layout(g)
plt.cla()
cmap = ['blue','lightgreen','yellow']
nx.draw(g, pos,node_color=[cmap[g.nodes[n]['state']] for n in g.nodes])
nx.draw_networkx_labels(g,pos,\
{n : str(n) for n in g.nodes}, font_size=16)
np.random.seed(0)
draw(generuj_siec(15))
2023-03-04 15:28:18 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:18 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:18 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:18 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved
Zasady działania modelu symulacyjnego
def symuluj(g, kroki=10):
for i in range(kroki):
osoby_z_opinia = [n for n in g.nodes
if g.nodes[n]['state']>0 ]
mowca = np.random.choice(osoby_z_opinia)
sasiedzi_bez_opinii = [n for n in g.neighbors(mowca)
if g.nodes[n]['state']==0 ]
if len(sasiedzi_bez_opinii) ==0:
continue
sluchacz = np.random.choice(sasiedzi_bez_opinii)
sila_perswazji = 0.95
if np.random.rand() > (1-sila_perswazji):
g.nodes[sluchacz]['state'] = g.nodes[mowca]['state']
return \
(np.sum([1 for n in g.nodes if g.nodes[n]['state']==1]),
np.sum([1 for n in g.nodes if g.nodes[n]['state']==2]))
np.random.seed(0)
gg = generuj_siec(20)
sim_res = symuluj(gg)
print(sim_res)
draw(gg)
2023-03-04 15:28:19 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:19 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:19 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved 2023-03-04 15:28:19 [matplotlib.axes._base] DEBUG: top of Axes not in the figure, so title not moved
(8, 4)
for powtorz in range(10):
for f1 in [3,4,5]:
g = generuj_siec(1000,0.1,f1,3)
wynik = symuluj(g)
print(powtorz,f1,wynik[0],wynik[1],sep="\t")
0 3 6 10 0 4 7 10 0 5 11 5 1 3 5 9 1 4 12 5 1 5 12 5 2 3 8 8 2 4 8 7 2 5 8 9 3 3 7 9 3 4 12 5 3 5 11 7 4 3 8 8 4 4 9 7 4 5 8 8 5 3 9 5 5 4 9 7 5 5 12 4 6 3 3 11 6 4 9 7 6 5 10 5 7 3 6 10 7 4 4 12 7 5 13 3 8 3 8 6 8 4 9 8 8 5 14 3 9 3 12 4 9 4 9 8 9 5 13 4
---- Powrót do spisu treści ----