前言
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from math import pi
import matplotlib.pyplot as plt
cat = [ 'Speed' , 'Reliability' , 'Comfort' , 'Safety' , 'Effieciency' ]
values = [ 90 , 60 , 65 , 70 , 40 ]
N = len (cat)
x_as = [n / float (N) * 2 * pi for n in range (N)]
ax = plt.subplot( 111 )
plt.xticks(x_as)
ax.plot(x_as, values, linewidth = 1 , linestyle = 'solid' , zorder = 3 )
plt.show()
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import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi = 96
plt.figure(figsize = ( 480 / my_dpi, 480 / my_dpi), dpi = my_dpi)
names = 'groupA' , 'groupB' , 'groupC' , 'groupD' ,
size = [ 12 , 11 , 3 , 30 ]
my_circle = plt.Circle( ( 0 , 0 ), 0.7 , color = 'white' )
plt.pie(size, labels = names, colors = Pastel1_7.hex_colors)
p = plt.gcf()
p.gca().add_artist(my_circle)
plt.show()
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import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame([ 8 , 8 , 1 , 2 ], index = [ 'a' , 'b' , 'c' , 'd' ], columns = [ 'x' ])
my_dpi = 96
plt.figure(figsize = ( 480 / my_dpi, 480 / my_dpi), dpi = my_dpi)
df.plot(kind = 'pie' , subplots = True , figsize = ( 8 , 8 ))
plt.show()
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以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://www.cnblogs.com/zwhy8/p/13285708.html