import pandas as pdimport numpy as np# 折线图s=pd.Series(np.random.randn(10),index=np.arange(0,100,10))s.plot()
<AxesSubplot:>
df=pd.DataFrame(np.random.randn(10,4),index=np.arange(0,100,10),columns=list('ABCD'))print(df)df.plot()
A B C D0 -0.358499 1.242513 -1.200230 0.21805110 -1.540113 -0.344976 -1.509415 1.16226020 0.680961 0.398406 -0.429856 1.02773230 0.545883 -0.101128 1.747935 0.42318740 0.763575 -0.682698 0.885915 0.79683550 -2.419253 -0.794231 -1.100932 -0.30959160 1.212027 0.684612 -0.035615 0.99992770 0.362055 -1.851297 0.860120 1.27199680 -1.199978 -1.158961 0.644087 -0.84050390 2.033464 0.301777 -0.629141 -0.702707<AxesSubplot:>
import matplotlib.pyplot as plts=pd.Series(np.random.randn(16),index=list('abcdefghijklmnop'))fig,aexs=plt.subplots(2,1)# 垂直柱状图s.plot(ax=aexs[0],kind='bar')# 程度柱状图s.plot(ax=aexs[1],kind='barh')
<AxesSubplot:>
# 重叠柱状图df=pd.DataFrame(np.random.randn(10,4),index=np.arange(0,100,10),columns=list('ABCD'))df.plot(kind='bar',stacked=True)plt.show()
# hist直方图df=pd.DataFrame({'A':np.random.randn(1000),'B':np.random.randn(1000)})df.plot(kind='hist',bins=500)plt.show()
df2=pd.DataFrame({'C':np.random.randn(1000)})
df3=pd.concat([df,df2],axis=1)
print(df3)
A B C0 -0.857916 1.603299 -0.5848071 -0.192799 -0.824972 1.1386442 -1.780869 -0.501384 1.3181043 0.916919 -0.564578 0.8328444 -0.153033 -0.381179 -0.122554.. ... ... ...995 0.188451 -0.763563 0.230478996 0.371608 -0.946306 0.318904997 0.299794 -0.420749 0.276406998 -0.193156 -0.091357 -0.926047999 0.871653 1.204641 -1.030529[1000 rows x 3 columns]
# 散点图data=df3[['A','B','C']]data.plot.scatter('A','B')
<AxesSubplot:xlabel='A', ylabel='B'>
pd.plotting.scatter_matrix(data,color='g',alpha=0.3)
array([[<AxesSubplot:xlabel='A', ylabel='A'>, <AxesSubplot:xlabel='B', ylabel='A'>, <AxesSubplot:xlabel='C', ylabel='A'>], [<AxesSubplot:xlabel='A', ylabel='B'>, <AxesSubplot:xlabel='B', ylabel='B'>, <AxesSubplot:xlabel='C', ylabel='B'>], [<AxesSubplot:xlabel='A', ylabel='C'>, <AxesSubplot:xlabel='B', ylabel='C'>, <AxesSubplot:xlabel='C', ylabel='C'>]], dtype=object)