In [3]:

    

import numpy as np;
import pandas as pd;


    

In [1]:

    

s=pd.Series([1,3,5,np.nan,6,7,8])
s


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-1-71c98c03a363> in <module>()
----> 1 s=pd.Series([1,3,5,np.nan,6,7,8])
      2 s

NameError: name 'pd' is not defined

In [9]:

    

dates=pd.date_range('20130101',periods=12)


    

In [10]:

    

dates


    

    
Out[10]:





DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',
               '2013-01-05', '2013-01-06', '2013-01-07', '2013-01-08',
               '2013-01-09', '2013-01-10', '2013-01-11', '2013-01-12'],
              dtype='datetime64[ns]', freq='D', tz=None)

In [16]:

    

df=pd.DataFrame(np.random.randn(12,4),index=dates,columns=list('ABCD'))
df


    

    
Out[16]:






  

    

      

      
A
      
B
      
C
      
D
    
  
  

    

      
2013-01-01
      
-0.835096
      
-0.826593
      
0.943998
      
-1.547154
    
    

      
2013-01-02
      
-0.721618
      
-0.258303
      
2.664199
      
-0.021812
    
    

      
2013-01-03
      
-0.100809
      
-0.477316
      
-1.466555
      
-0.170217
    
    

      
2013-01-04
      
1.156949
      
-0.129947
      
-0.609256
      
-0.791945
    
    

      
2013-01-05
      
-0.656997
      
-0.997894
      
-0.147552
      
-1.165347
    
    

      
2013-01-06
      
-1.183469
      
0.854963
      
0.194700
      
-0.664807
    
    

      
2013-01-07
      
0.223993
      
0.965340
      
-0.920825
      
-1.006741
    
    

      
2013-01-08
      
-0.927046
      
-1.355556
      
0.239576
      
-0.248207
    
    

      
2013-01-09
      
1.336861
      
-0.846574
      
0.445883
      
-0.481109
    
    

      
2013-01-10
      
0.465843
      
-0.073233
      
1.900193
      
1.362387
    
    

      
2013-01-11
      
-0.246590
      
1.129747
      
-0.988025
      
-0.002841
    
    

      
2013-01-12
      
-0.631808
      
-0.697849
      
-0.996003
      
-0.930871
    
  

In [ ]: