Pulling data from Object into DataFrame












0















I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:



for x in myobjectx.ts_data:
print(x.Symbol, x.Date, x.Price)


I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.



Can someone pls advise how to move the data in the object into a dataframe?



df = 
for x in myobjectx.ts_data:
df.append(myobjectx.ts_data)









share|improve this question



























    0















    I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:



    for x in myobjectx.ts_data:
    print(x.Symbol, x.Date, x.Price)


    I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.



    Can someone pls advise how to move the data in the object into a dataframe?



    df = 
    for x in myobjectx.ts_data:
    df.append(myobjectx.ts_data)









    share|improve this question

























      0












      0








      0








      I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:



      for x in myobjectx.ts_data:
      print(x.Symbol, x.Date, x.Price)


      I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.



      Can someone pls advise how to move the data in the object into a dataframe?



      df = 
      for x in myobjectx.ts_data:
      df.append(myobjectx.ts_data)









      share|improve this question














      I currently have an class designed to create a historical time series w/ various functions embedded inside. I have created an object that holds a time series and use the code below to print the data held within the object:



      for x in myobjectx.ts_data:
      print(x.Symbol, x.Date, x.Price)


      I am trying to move this data into a dataframe with the code below so that I can run some more analysis on it . When I run the code below, I get a dataframe w/ one column and all the data is various iterations of my object.



      Can someone pls advise how to move the data in the object into a dataframe?



      df = 
      for x in myobjectx.ts_data:
      df.append(myobjectx.ts_data)






      python pandas object dataframe for-loop






      share|improve this question













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      asked Nov 21 '18 at 20:15









      TonyTony

      578




      578
























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          You can create a pandas DataFrame from list of dicts like that:



          df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])





          share|improve this answer
























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            1 Answer
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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            You can create a pandas DataFrame from list of dicts like that:



            df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])





            share|improve this answer




























              0














              You can create a pandas DataFrame from list of dicts like that:



              df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])





              share|improve this answer


























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                0







                You can create a pandas DataFrame from list of dicts like that:



                df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])





                share|improve this answer













                You can create a pandas DataFrame from list of dicts like that:



                df = pd.DataFrame([{'symbol': x.Symbol, 'date': x.Date, 'price': x.Price} for x in myobjectx.ts_data])






                share|improve this answer












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                answered Nov 21 '18 at 21:08









                TevadrosTevadros

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