remove after pandas.to_json(orient='split')











up vote
0
down vote

favorite












I am trying to send data to a chart using:



myjson = df.to_json(orient='split')


The problem I that when I see the information on myjson I see the information with many / characters:



"{"date": "11-11-2018", 
"descriptor": "111",
"data": "{\"columns\":[
\"cddescriptor\",
\"fechapublicacion\",
...
json.dumps(results)


Is there a way to remove this?










share|improve this question
























  • Please try returning json.loads(myjson).
    – Chirag
    3 hours ago










  • I am using json.dumps()
    – jalazbe
    3 hours ago












  • thanks. loadsdid work
    – jalazbe
    3 hours ago















up vote
0
down vote

favorite












I am trying to send data to a chart using:



myjson = df.to_json(orient='split')


The problem I that when I see the information on myjson I see the information with many / characters:



"{"date": "11-11-2018", 
"descriptor": "111",
"data": "{\"columns\":[
\"cddescriptor\",
\"fechapublicacion\",
...
json.dumps(results)


Is there a way to remove this?










share|improve this question
























  • Please try returning json.loads(myjson).
    – Chirag
    3 hours ago










  • I am using json.dumps()
    – jalazbe
    3 hours ago












  • thanks. loadsdid work
    – jalazbe
    3 hours ago













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I am trying to send data to a chart using:



myjson = df.to_json(orient='split')


The problem I that when I see the information on myjson I see the information with many / characters:



"{"date": "11-11-2018", 
"descriptor": "111",
"data": "{\"columns\":[
\"cddescriptor\",
\"fechapublicacion\",
...
json.dumps(results)


Is there a way to remove this?










share|improve this question















I am trying to send data to a chart using:



myjson = df.to_json(orient='split')


The problem I that when I see the information on myjson I see the information with many / characters:



"{"date": "11-11-2018", 
"descriptor": "111",
"data": "{\"columns\":[
\"cddescriptor\",
\"fechapublicacion\",
...
json.dumps(results)


Is there a way to remove this?







json python-3.x pandas






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 3 hours ago

























asked 3 hours ago









jalazbe

354217




354217












  • Please try returning json.loads(myjson).
    – Chirag
    3 hours ago










  • I am using json.dumps()
    – jalazbe
    3 hours ago












  • thanks. loadsdid work
    – jalazbe
    3 hours ago


















  • Please try returning json.loads(myjson).
    – Chirag
    3 hours ago










  • I am using json.dumps()
    – jalazbe
    3 hours ago












  • thanks. loadsdid work
    – jalazbe
    3 hours ago
















Please try returning json.loads(myjson).
– Chirag
3 hours ago




Please try returning json.loads(myjson).
– Chirag
3 hours ago












I am using json.dumps()
– jalazbe
3 hours ago






I am using json.dumps()
– jalazbe
3 hours ago














thanks. loadsdid work
– jalazbe
3 hours ago




thanks. loadsdid work
– jalazbe
3 hours ago












1 Answer
1






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oldest

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up vote
1
down vote



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myjson = df.to_json(orient='split')
json.loads(myjson)





share|improve this answer





















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    1 Answer
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    1 Answer
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    up vote
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    down vote



    accepted










    myjson = df.to_json(orient='split')
    json.loads(myjson)





    share|improve this answer

























      up vote
      1
      down vote



      accepted










      myjson = df.to_json(orient='split')
      json.loads(myjson)





      share|improve this answer























        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        myjson = df.to_json(orient='split')
        json.loads(myjson)





        share|improve this answer












        myjson = df.to_json(orient='split')
        json.loads(myjson)






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered 3 hours ago









        Chirag

        45727




        45727






























             

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