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In [1]:

    
import numpy as np 
import pandas as pd
from pandas import Series, DataFrame



In [2]:

    
ser1 = Series([0,1,2], index=['A', 'B', 'C'])
ser1









    Out[2]:





A    0
B    1
C    2
dtype: int64



In [3]:

    
ser2 = Series([3,4,5,6], index=['A', 'B', 'C', 'D'])
ser2









    Out[3]:





A    3
B    4
C    5
D    6
dtype: int64



In [4]:

    
ser1 + ser2









    Out[4]:





A    3.0
B    5.0
C    7.0
D    NaN
dtype: float64



In [7]:

    
dframe1 = DataFrame(np.arange(4).reshape((2,2)), columns=list('AB'), index=['NYC', 'LA'])
dframe1



In [8]:

    
dframe2 = DataFrame(np.arange(9).reshape((3,3,)), columns=list('ADC'), index=['NYC', 'SF', 'LA'])
dframe2



In [9]:

    
dframe1 + dframe2



In [10]:

    
dframe1.add(dframe2, fill_value=0)



In [11]:

    
ser3 = dframe2.ix[0]
ser3









    Out[11]:





A    0
D    1
C    2
Name: NYC, dtype: int64



In [12]:

    
dframe2 - ser3



In [ ]: