Sorting Python data frame according to dates












0














How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.



enter image description here






python pandas dataframe







share|improve this question




















  • 1




    Please include an example of the code that you used to construct the dataframe shown in the image.
    – Adam Chubbuck
    Nov 11 at 20:54
















0














How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.



enter image description here






python pandas dataframe







share|improve this question




















  • 1




    Please include an example of the code that you used to construct the dataframe shown in the image.
    – Adam Chubbuck
    Nov 11 at 20:54














0












0








0


1





How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.



enter image description here






python pandas dataframe







share|improve this question















How to sort a python data frame according to dates in the format that can be seen on the image. The output that I want to receive is the same data frame but at index 0 I would have January 2013 and the corresponding amount and at index 1 I would have February 2013 etc.



enter image description here






python pandas dataframe




python pandas dataframe






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 11 at 20:52









Adam Chubbuck

810217




810217










asked Nov 11 at 20:50









Ewa Szyszka

14




14








  • 1




    Please include an example of the code that you used to construct the dataframe shown in the image.
    – Adam Chubbuck
    Nov 11 at 20:54














  • 1




    Please include an example of the code that you used to construct the dataframe shown in the image.
    – Adam Chubbuck
    Nov 11 at 20:54








1




1




Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54




Please include an example of the code that you used to construct the dataframe shown in the image.
– Adam Chubbuck
Nov 11 at 20:54












2 Answers
2






active

oldest

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1














import pandas as pd

df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,

    'Date':['05/01/2015','05/01/2017','06/01/2017']})

df['Date'] =pd.to_datetime(df.Date)

df.sort_values('Date', inplace=True)





share|improve this answer























  • Might as well use: df.sort_values('Date', inplace=True) here...
    – Jon Clements♦
    Nov 11 at 21:04










  • updated the code :)
    – Keerthana Gopalakrishnan
    Nov 11 at 21:06



















1














You just need to convert your Date column to a datetime, then you can sort the dataframe by that column



import pandas as pd



df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],

                   'Amount': [2,5,6,3,2]})



df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')

df = df.sort_values('Date').reset_index(drop=True)


Which gives:



        Date  Amount

0 2016-05-01       2

1 2017-01-01       3

2 2017-02-01       2

3 2017-05-01       5

4 2017-06-01       6





share|improve this answer























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    2 Answers
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    active

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    1














    import pandas as pd
    
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
    
    'Date':['05/01/2015','05/01/2017','06/01/2017']})
    
df['Date'] =pd.to_datetime(df.Date)
    
df.sort_values('Date', inplace=True)





    share|improve this answer























    • Might as well use: df.sort_values('Date', inplace=True) here...
      – Jon Clements♦
      Nov 11 at 21:04










    • updated the code :)
      – Keerthana Gopalakrishnan
      Nov 11 at 21:06
















    1














    import pandas as pd
    
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
    
    'Date':['05/01/2015','05/01/2017','06/01/2017']})
    
df['Date'] =pd.to_datetime(df.Date)
    
df.sort_values('Date', inplace=True)





    share|improve this answer























    • Might as well use: df.sort_values('Date', inplace=True) here...
      – Jon Clements♦
      Nov 11 at 21:04










    • updated the code :)
      – Keerthana Gopalakrishnan
      Nov 11 at 21:06














    1












    1








    1






    import pandas as pd
    
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
    
    'Date':['05/01/2015','05/01/2017','06/01/2017']})
    
df['Date'] =pd.to_datetime(df.Date)
    
df.sort_values('Date', inplace=True)





    share|improve this answer














    import pandas as pd
    
df = pd.DataFrame( {'Amount':['54241.25','54008.83','54008.82'] ,
    
    'Date':['05/01/2015','05/01/2017','06/01/2017']})
    
df['Date'] =pd.to_datetime(df.Date)
    
df.sort_values('Date', inplace=True)






    share|improve this answer














    share|improve this answer



    share|improve this answer








    edited Nov 11 at 21:05

























    answered Nov 11 at 20:57









    Keerthana Gopalakrishnan

    47769




    47769












    • Might as well use: df.sort_values('Date', inplace=True) here...
      – Jon Clements♦
      Nov 11 at 21:04










    • updated the code :)
      – Keerthana Gopalakrishnan
      Nov 11 at 21:06


















    • Might as well use: df.sort_values('Date', inplace=True) here...
      – Jon Clements♦
      Nov 11 at 21:04










    • updated the code :)
      – Keerthana Gopalakrishnan
      Nov 11 at 21:06
















    Might as well use: df.sort_values('Date', inplace=True) here...
    – Jon Clements♦
    Nov 11 at 21:04




    Might as well use: df.sort_values('Date', inplace=True) here...
    – Jon Clements♦
    Nov 11 at 21:04












    updated the code :)
    – Keerthana Gopalakrishnan
    Nov 11 at 21:06




    updated the code :)
    – Keerthana Gopalakrishnan
    Nov 11 at 21:06













    1














    You just need to convert your Date column to a datetime, then you can sort the dataframe by that column



    import pandas as pd
    

    
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
    
                   'Amount': [2,5,6,3,2]})
    

    
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
    
df = df.sort_values('Date').reset_index(drop=True)


    Which gives:



            Date  Amount
    
0 2016-05-01       2
    
1 2017-01-01       3
    
2 2017-02-01       2
    
3 2017-05-01       5
    
4 2017-06-01       6





    share|improve this answer




























      1














      You just need to convert your Date column to a datetime, then you can sort the dataframe by that column



      import pandas as pd
      

      
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
      
                   'Amount': [2,5,6,3,2]})
      

      
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
      
df = df.sort_values('Date').reset_index(drop=True)


      Which gives:



              Date  Amount
      
0 2016-05-01       2
      
1 2017-01-01       3
      
2 2017-02-01       2
      
3 2017-05-01       5
      
4 2017-06-01       6





      share|improve this answer


























        1












        1








        1






        You just need to convert your Date column to a datetime, then you can sort the dataframe by that column



        import pandas as pd
        

        
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
        
                   'Amount': [2,5,6,3,2]})
        

        
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
        
df = df.sort_values('Date').reset_index(drop=True)


        Which gives:



                Date  Amount
        
0 2016-05-01       2
        
1 2017-01-01       3
        
2 2017-02-01       2
        
3 2017-05-01       5
        
4 2017-06-01       6





        share|improve this answer














        You just need to convert your Date column to a datetime, then you can sort the dataframe by that column



        import pandas as pd
        

        
df = pd.DataFrame({'Date': ['05-2016', '05-2017', '06-2017', '01-2017', '02-2017'],
        
                   'Amount': [2,5,6,3,2]})
        

        
df['Date'] = pd.to_datetime(df['Date'], format='%m-%Y')
        
df = df.sort_values('Date').reset_index(drop=True)


        Which gives:



                Date  Amount
        
0 2016-05-01       2
        
1 2017-01-01       3
        
2 2017-02-01       2
        
3 2017-05-01       5
        
4 2017-06-01       6






        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 11 at 21:07

























        answered Nov 11 at 20:57









        Simon

        4,25393073




        4,25393073






























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