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)
[<matplotlib.lines.Line2D at 0x668f940>]
#更换风格
plt.style.use('dark_background')
#再次绘图
plt.plot(x,y)
[<matplotlib.lines.Line2D at 0x68d5ac8>]
plt.xkcd()
#再次绘图
plt.plot(x,y)
[<matplotlib.lines.Line2D at 0x522d400>]