CSV Data preprocessing and reformatting python

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I have a csv file with 22000 rows. I need to convert the csv file from the normal rows and columns format to rows with elements separated with commas using python. Elements with same id are to be in a row. New row is to be created for each id.



Sample data before preprocessing is like this



Dataset after processing is like this



I just want to delete the date column and display the elements with same id (in column B) inline.










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  • 3





    What have you tried so far? And where did all the apples etc. go? What exactly do you want to do? Do you want to count the occurrences of each item? And where is the timestamp coming from? Please post an example which fully covers your question.

    – Scotty1-
    Nov 15 '18 at 10:36











  • Is my solution working for you?

    – Mohamed Thasin ah
    Nov 16 '18 at 5:19











  • Sorry guys. I had made a mistake in the positioning of the screenshots. Kindly have a look at the edited question.

    – Dheeraj Ravishankar
    Nov 16 '18 at 8:28











  • @DheerajRavishankar - Don't put sample data as image. paste your sample data as text (so that easy to copy and paste to others).

    – Mohamed Thasin ah
    Nov 19 '18 at 7:16

















-3















I have a csv file with 22000 rows. I need to convert the csv file from the normal rows and columns format to rows with elements separated with commas using python. Elements with same id are to be in a row. New row is to be created for each id.



Sample data before preprocessing is like this



Dataset after processing is like this



I just want to delete the date column and display the elements with same id (in column B) inline.










share|improve this question



















  • 3





    What have you tried so far? And where did all the apples etc. go? What exactly do you want to do? Do you want to count the occurrences of each item? And where is the timestamp coming from? Please post an example which fully covers your question.

    – Scotty1-
    Nov 15 '18 at 10:36











  • Is my solution working for you?

    – Mohamed Thasin ah
    Nov 16 '18 at 5:19











  • Sorry guys. I had made a mistake in the positioning of the screenshots. Kindly have a look at the edited question.

    – Dheeraj Ravishankar
    Nov 16 '18 at 8:28











  • @DheerajRavishankar - Don't put sample data as image. paste your sample data as text (so that easy to copy and paste to others).

    – Mohamed Thasin ah
    Nov 19 '18 at 7:16













-3












-3








-3


2






I have a csv file with 22000 rows. I need to convert the csv file from the normal rows and columns format to rows with elements separated with commas using python. Elements with same id are to be in a row. New row is to be created for each id.



Sample data before preprocessing is like this



Dataset after processing is like this



I just want to delete the date column and display the elements with same id (in column B) inline.










share|improve this question
















I have a csv file with 22000 rows. I need to convert the csv file from the normal rows and columns format to rows with elements separated with commas using python. Elements with same id are to be in a row. New row is to be created for each id.



Sample data before preprocessing is like this



Dataset after processing is like this



I just want to delete the date column and display the elements with same id (in column B) inline.







python pandas csv numpy






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 16 '18 at 9:01







Dheeraj Ravishankar

















asked Nov 15 '18 at 10:18









Dheeraj RavishankarDheeraj Ravishankar

53




53







  • 3





    What have you tried so far? And where did all the apples etc. go? What exactly do you want to do? Do you want to count the occurrences of each item? And where is the timestamp coming from? Please post an example which fully covers your question.

    – Scotty1-
    Nov 15 '18 at 10:36











  • Is my solution working for you?

    – Mohamed Thasin ah
    Nov 16 '18 at 5:19











  • Sorry guys. I had made a mistake in the positioning of the screenshots. Kindly have a look at the edited question.

    – Dheeraj Ravishankar
    Nov 16 '18 at 8:28











  • @DheerajRavishankar - Don't put sample data as image. paste your sample data as text (so that easy to copy and paste to others).

    – Mohamed Thasin ah
    Nov 19 '18 at 7:16












  • 3





    What have you tried so far? And where did all the apples etc. go? What exactly do you want to do? Do you want to count the occurrences of each item? And where is the timestamp coming from? Please post an example which fully covers your question.

    – Scotty1-
    Nov 15 '18 at 10:36











  • Is my solution working for you?

    – Mohamed Thasin ah
    Nov 16 '18 at 5:19











  • Sorry guys. I had made a mistake in the positioning of the screenshots. Kindly have a look at the edited question.

    – Dheeraj Ravishankar
    Nov 16 '18 at 8:28











  • @DheerajRavishankar - Don't put sample data as image. paste your sample data as text (so that easy to copy and paste to others).

    – Mohamed Thasin ah
    Nov 19 '18 at 7:16







3




3





What have you tried so far? And where did all the apples etc. go? What exactly do you want to do? Do you want to count the occurrences of each item? And where is the timestamp coming from? Please post an example which fully covers your question.

– Scotty1-
Nov 15 '18 at 10:36





What have you tried so far? And where did all the apples etc. go? What exactly do you want to do? Do you want to count the occurrences of each item? And where is the timestamp coming from? Please post an example which fully covers your question.

– Scotty1-
Nov 15 '18 at 10:36













Is my solution working for you?

– Mohamed Thasin ah
Nov 16 '18 at 5:19





Is my solution working for you?

– Mohamed Thasin ah
Nov 16 '18 at 5:19













Sorry guys. I had made a mistake in the positioning of the screenshots. Kindly have a look at the edited question.

– Dheeraj Ravishankar
Nov 16 '18 at 8:28





Sorry guys. I had made a mistake in the positioning of the screenshots. Kindly have a look at the edited question.

– Dheeraj Ravishankar
Nov 16 '18 at 8:28













@DheerajRavishankar - Don't put sample data as image. paste your sample data as text (so that easy to copy and paste to others).

– Mohamed Thasin ah
Nov 19 '18 at 7:16





@DheerajRavishankar - Don't put sample data as image. paste your sample data as text (so that easy to copy and paste to others).

– Mohamed Thasin ah
Nov 19 '18 at 7:16












1 Answer
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I think you need this,



print pd.Series(sum(df.T.values.tolist(),)).value_counts().reset_index()





share|improve this answer























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    1 Answer
    1






    active

    oldest

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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    I think you need this,



    print pd.Series(sum(df.T.values.tolist(),)).value_counts().reset_index()





    share|improve this answer



























      0














      I think you need this,



      print pd.Series(sum(df.T.values.tolist(),)).value_counts().reset_index()





      share|improve this answer

























        0












        0








        0







        I think you need this,



        print pd.Series(sum(df.T.values.tolist(),)).value_counts().reset_index()





        share|improve this answer













        I think you need this,



        print pd.Series(sum(df.T.values.tolist(),)).value_counts().reset_index()






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 15 '18 at 10:53









        Mohamed Thasin ahMohamed Thasin ah

        4,09932042




        4,09932042





























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