In [4]:

    

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

data = pd.Series(np.random.randn(1000), index=np.arange(1000))
data = data.cumsum()
data.plot()


    

    
Out[4]:





<matplotlib.axes.AxesSubplot at 0xaf345dd0>






    

In [13]:

    

# DataFrame
data = pd.DataFrame(np.random.randn(1000, 4), index=np.arange(1000), columns=list("ABCD"))
data = data.cumsum()
data.plot()
# 'bar', 'hist', 'box', 'kde', 'area', scatter', hexbin', 'pie'

plt.show()
ax = data.plot.scatter(x='A', y='B', color='DarkBlue', label="Class 1")
data.plot.scatter(x='A', y='C', color='DarkGreen', label='Class 2', ax=ax)


    

    













    
Out[13]:





<matplotlib.axes.AxesSubplot at 0xad76b2f0>