41.Matplotlib风格

import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

#查看所有风格
plt.style.available

[\'bmh\',
 \'classic\',
 \'dark_background\',
 \'fast\',
 \'fivethirtyeight\',
 \'ggplot\',
 \'grayscale\',
 \'seaborn-bright\',
 \'seaborn-colorblind\',
 \'seaborn-dark-palette\',
 \'seaborn-dark\',
 \'seaborn-darkgrid\',
 \'seaborn-deep\',
 \'seaborn-muted\',
 \'seaborn-notebook\',
 \'seaborn-paper\',
 \'seaborn-pastel\',
 \'seaborn-poster\',
 \'seaborn-talk\',
 \'seaborn-ticks\',
 \'seaborn-white\',
 \'seaborn-whitegrid\',
 \'seaborn\',
 \'Solarize_Light2\',
 \'tableau-colorblind10\',
 \'_classic_test\']

#构造数据
x = np.linspace(-10,10)
y = np.sin(x)
plt.plot(x,y)

[]

#更换风格
plt.style.use(\'dark_background\')
#再次绘图
plt.plot(x,y)

[]

plt.xkcd()
#再次绘图
plt.plot(x,y)

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