In [1]:

    

import pandas as pd
import sys
%matplotlib inline


    

In [2]:

    

print 'Python version ' + sys.version
print 'Pandas version ' + pd.__version__


    

    




Python version 2.7.5 |Anaconda 2.1.0 (64-bit)| (default, Jul  1 2013, 12:37:52) [MSC v.1500 64 bit (AMD64)]
Pandas version 0.15.2

In [3]:

    

# dataframe
df = pd.DataFrame(data={'col1':[0,10,2,30,4]})
df


    

    
Out[3]:






  

    

      

      
col1
    
  
  

    

      
0
      
  0
    
    

      
1
      
 10
    
    

      
2
      
  2
    
    

      
3
      
 30
    
    

      
4
      
  4
    
  

In [4]:

    

# Sort by col1 ascending
df.sort(columns='col1')


    

    
Out[4]:






  

    

      

      
col1
    
  
  

    

      
0
      
  0
    
    

      
2
      
  2
    
    

      
4
      
  4
    
    

      
1
      
 10
    
    

      
3
      
 30
    
  

In [5]:

    

# Unordered index

d = {'col2':[22,10,113]}

i = [pd.Timestamp('20130102'),
     pd.Timestamp('2013-01-01'),
     pd.Timestamp('1/3/2013')]
                 

df = pd.DataFrame(data=d, index = i)
df


    

    
Out[5]:






  

    

      

      
col2
    
  
  

    

      
2013-01-02
      
  22
    
    

      
2013-01-01
      
  10
    
    

      
2013-01-03
      
 113
    
  

In [6]:

    

# Index sorted ascending
df.sort_index()


    

    
Out[6]:






  

    

      

      
col2
    
  
  

    

      
2013-01-01
      
  10
    
    

      
2013-01-02
      
  22
    
    

      
2013-01-03
      
 113