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This article mainly introduces how to draw a chart in Pandas, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

Import pandas as pdimport numpy as np# line chart s=pd.Series (np.random.randn (10), index=np.arange (0jing100jing10) s.plot ()

Df=pd.DataFrame (np.random.randn (10jue 4), index=np.arange (0Jing 100jue 10) Columns=list ('ABCD') print (df) df.plot () ABC 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

Import matplotlib.pyplot as plts=pd.Series (np.random.randn (16), index=list ('abcdefghijklmnop')) fig,aexs=plt.subplots (2) # Vertical histogram s.plot (ax=aexs [0], kind='bar') # horizontal histogram s.plot (ax=aexs [1], kind='barh')

# stacked bar chart df=pd.DataFrame (np.random.randn (10jing4), index=np.arange (0pence100d10), columns=list ('ABCD') df.plot (kind='bar',stacked=True) plt.show ()

# hist histogram 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] # scatter figure data=df3 [['Awesome rows'] data.plot.scatter.

Pd.plotting.scatter_matrix (data,color='g',alpha=0.3) array ([,], [,], [,]], dtype=object)

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