How can I download a json Dataframe in Google Colab?












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I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.



Any help is appreciated - thanks!










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  • You should edit your question to include your code
    – Wayne Phipps
    Nov 23 '18 at 8:29
















0














I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.



Any help is appreciated - thanks!










share|improve this question






















  • You should edit your question to include your code
    – Wayne Phipps
    Nov 23 '18 at 8:29














0












0








0







I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.



Any help is appreciated - thanks!










share|improve this question













I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.



Any help is appreciated - thanks!







google-colaboratory






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asked Nov 23 '18 at 8:23









adwib

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31












  • You should edit your question to include your code
    – Wayne Phipps
    Nov 23 '18 at 8:29


















  • You should edit your question to include your code
    – Wayne Phipps
    Nov 23 '18 at 8:29
















You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29




You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29












1 Answer
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You can proceed in steps: 1) save the output of to_json() to a file on the Colab backend. Then, use the built-in download helper



from google.colab import files
files.download('colab_file_name')



Here's a complete example that starts with a randomly generated DataFrame:



https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg






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    1 Answer
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    1 Answer
    1






    active

    oldest

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    oldest

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    active

    oldest

    votes









    0














    You can proceed in steps: 1) save the output of to_json() to a file on the Colab backend. Then, use the built-in download helper



    from google.colab import files
    files.download('colab_file_name')



    Here's a complete example that starts with a randomly generated DataFrame:



    https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg






    share|improve this answer


























      0














      You can proceed in steps: 1) save the output of to_json() to a file on the Colab backend. Then, use the built-in download helper



      from google.colab import files
      files.download('colab_file_name')



      Here's a complete example that starts with a randomly generated DataFrame:



      https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg






      share|improve this answer
























        0












        0








        0






        You can proceed in steps: 1) save the output of to_json() to a file on the Colab backend. Then, use the built-in download helper



        from google.colab import files
        files.download('colab_file_name')



        Here's a complete example that starts with a randomly generated DataFrame:



        https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg






        share|improve this answer












        You can proceed in steps: 1) save the output of to_json() to a file on the Colab backend. Then, use the built-in download helper



        from google.colab import files
        files.download('colab_file_name')



        Here's a complete example that starts with a randomly generated DataFrame:



        https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 23 '18 at 16:29









        Bob Smith

        6,3122027




        6,3122027






























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