In [8]:

    

%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import numpy as np
matplotlib.style.use('ggplot')


    

In [9]:

    

ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))


    

In [10]:

    

ts = ts.cumsum()
ts.plot()


    

    
Out[10]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fb6dfae1898>






    

In [11]:

    

df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))
df = df.cumsum()
plt.figure(); df.plot();


    

    






<matplotlib.figure.Figure at 0x7fb6dfc0af28>






    

In [12]:

    

df3 = pd.DataFrame(np.random.randn(1000, 2), columns=['B', 'C']).cumsum()
df3['A'] = pd.Series(list(range(len(df))))
df3.plot(x='A', y='B')


    

    
Out[12]:





<matplotlib.axes._subplots.AxesSubplot at 0x7fb6dfae4f98>






    

In [ ]: