In [1]:

    

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


    

In [5]:

    

ser1 = Series(np.arange(3), index=['a','b','c'])
ser1


    

    
Out[5]:





a    0
b    1
c    2
dtype: int64

In [6]:

    

ser1.drop('b')


    

    
Out[6]:





a    0
c    2
dtype: int64

In [8]:

    

dframe1 = DataFrame(np.arange(9).reshape((3,3,)), index=['SF', 'LA', 'NY'], columns=['pop', 'size', 'year'] )
dframe1


    

    
Out[8]:






  

    

      

      
pop
      
size
      
year
    
  
  

    

      
SF
      
0
      
1
      
2
    
    

      
LA
      
3
      
4
      
5
    
    

      
NY
      
6
      
7
      
8
    
  

In [9]:

    

dframe1.drop('LA')


    

    
Out[9]:






  

    

      

      
pop
      
size
      
year
    
  
  

    

      
SF
      
0
      
1
      
2
    
    

      
NY
      
6
      
7
      
8
    
  

In [10]:

    

dframe2 = dframe1.drop('LA')


    

In [11]:

    

dframe1.drop('year', axis=1)


    

    
Out[11]:






  

    

      

      
pop
      
size
    
  
  

    

      
SF
      
0
      
1
    
    

      
LA
      
3
      
4
    
    

      
NY
      
6
      
7
    
  

In [ ]:

    




    

In [ ]: