Plot with Pandas and matplotlib



In [4]:

    
import matplotlib
from matplotlib import pyplot as plt
plt.style.use('ggplot')
import pandas as pd
from pandas import Series, DataFrame
import numpy as np
import scipy as cp

Plot a Time Series



In [55]:

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



In [51]:

    
ts.cumsum().plot ()









    Out[51]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ff156db6450>



In [ ]:

    
## Plot a Data Frame



In [61]:

    
df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))



In [66]:

    
df.cumsum().plot ()









    Out[66]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ff156996050>

Bar Plot



In [92]:

    
ts = pd.Series(np.random.randint(10, size =1000))
ts.groupby (ts).count().plot.bar()









    Out[92]:





<matplotlib.axes._subplots.AxesSubplot at 0x7ff14b93c310>