Avoid Alphabetical order on python finance download












0















I am downloading data from yahoo finance, and it is being downloaded order alphabetically. Not like I send the list. How can avoid this?



STOCKS= ['^TNX', '^VIX', 'SPY', 'QQQ', 'DIA', '^FTSE', '^GDAXI', '^HSI', '^N225',
'XLC', 'XLY', 'XLP', 'XLE', 'XLF', 'XLV', 'XLI', 'XLB', 'XLRE', 'XLK', 'XLU',
'USO', 'GLD', 'SIL', 'CPER', 'PALL', 'LIT', 'URA', 'REMX', 'OYB', 'CORN', 'CANE', 'TAGS', 'WEAT']



start_date = '2016-06-01'
end_date = '2018-06-01'

extras_data = fyf.download(STOCKS, start_date, end_date)['Close']
print(extras_data)


what came back:



     CANE       CORN    ...       ^TNX       ^VIX


Date ...

2016-05-31 11.50 22.139999 ... 1.834 14.190000
2016-06-01 11.56 22.610001 ... 1.846 14.200000
2016-06-02 11.85 22.549999 ... 1.811 13.630000
2016-06-03 12.13 22.760000 ... 1.704 13.470000



The columns are order alphabetically, I want to respect the list order.










share|improve this question



























    0















    I am downloading data from yahoo finance, and it is being downloaded order alphabetically. Not like I send the list. How can avoid this?



    STOCKS= ['^TNX', '^VIX', 'SPY', 'QQQ', 'DIA', '^FTSE', '^GDAXI', '^HSI', '^N225',
    'XLC', 'XLY', 'XLP', 'XLE', 'XLF', 'XLV', 'XLI', 'XLB', 'XLRE', 'XLK', 'XLU',
    'USO', 'GLD', 'SIL', 'CPER', 'PALL', 'LIT', 'URA', 'REMX', 'OYB', 'CORN', 'CANE', 'TAGS', 'WEAT']



    start_date = '2016-06-01'
    end_date = '2018-06-01'

    extras_data = fyf.download(STOCKS, start_date, end_date)['Close']
    print(extras_data)


    what came back:



         CANE       CORN    ...       ^TNX       ^VIX


    Date ...

    2016-05-31 11.50 22.139999 ... 1.834 14.190000
    2016-06-01 11.56 22.610001 ... 1.846 14.200000
    2016-06-02 11.85 22.549999 ... 1.811 13.630000
    2016-06-03 12.13 22.760000 ... 1.704 13.470000



    The columns are order alphabetically, I want to respect the list order.










    share|improve this question

























      0












      0








      0








      I am downloading data from yahoo finance, and it is being downloaded order alphabetically. Not like I send the list. How can avoid this?



      STOCKS= ['^TNX', '^VIX', 'SPY', 'QQQ', 'DIA', '^FTSE', '^GDAXI', '^HSI', '^N225',
      'XLC', 'XLY', 'XLP', 'XLE', 'XLF', 'XLV', 'XLI', 'XLB', 'XLRE', 'XLK', 'XLU',
      'USO', 'GLD', 'SIL', 'CPER', 'PALL', 'LIT', 'URA', 'REMX', 'OYB', 'CORN', 'CANE', 'TAGS', 'WEAT']



      start_date = '2016-06-01'
      end_date = '2018-06-01'

      extras_data = fyf.download(STOCKS, start_date, end_date)['Close']
      print(extras_data)


      what came back:



           CANE       CORN    ...       ^TNX       ^VIX


      Date ...

      2016-05-31 11.50 22.139999 ... 1.834 14.190000
      2016-06-01 11.56 22.610001 ... 1.846 14.200000
      2016-06-02 11.85 22.549999 ... 1.811 13.630000
      2016-06-03 12.13 22.760000 ... 1.704 13.470000



      The columns are order alphabetically, I want to respect the list order.










      share|improve this question














      I am downloading data from yahoo finance, and it is being downloaded order alphabetically. Not like I send the list. How can avoid this?



      STOCKS= ['^TNX', '^VIX', 'SPY', 'QQQ', 'DIA', '^FTSE', '^GDAXI', '^HSI', '^N225',
      'XLC', 'XLY', 'XLP', 'XLE', 'XLF', 'XLV', 'XLI', 'XLB', 'XLRE', 'XLK', 'XLU',
      'USO', 'GLD', 'SIL', 'CPER', 'PALL', 'LIT', 'URA', 'REMX', 'OYB', 'CORN', 'CANE', 'TAGS', 'WEAT']



      start_date = '2016-06-01'
      end_date = '2018-06-01'

      extras_data = fyf.download(STOCKS, start_date, end_date)['Close']
      print(extras_data)


      what came back:



           CANE       CORN    ...       ^TNX       ^VIX


      Date ...

      2016-05-31 11.50 22.139999 ... 1.834 14.190000
      2016-06-01 11.56 22.610001 ... 1.846 14.200000
      2016-06-02 11.85 22.549999 ... 1.811 13.630000
      2016-06-03 12.13 22.760000 ... 1.704 13.470000



      The columns are order alphabetically, I want to respect the list order.







      python yahoo-finance






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      asked Nov 23 '18 at 11:45









      FedeFede

      71131533




      71131533
























          1 Answer
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          This is how I would do it.



          "your code here"

          #after pulling the data from fyf. This will check what
          #actual stocks were pulled and put it in a list

          sorted_columns = [STOCK for STOCK in STOCKS if STOCK in extras_data.columns]

          #then I use those columns to re-sort the dataframe from fyf
          print(extras_data.loc[:,sorted_columns])

          #or you can store it back to itself
          extras_data = extras_data.loc[:,sorted_columns]





          share|improve this answer
























          • thats work perfectly

            – Fede
            Nov 23 '18 at 14:09












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          1 Answer
          1






          active

          oldest

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          active

          oldest

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          active

          oldest

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          3














          This is how I would do it.



          "your code here"

          #after pulling the data from fyf. This will check what
          #actual stocks were pulled and put it in a list

          sorted_columns = [STOCK for STOCK in STOCKS if STOCK in extras_data.columns]

          #then I use those columns to re-sort the dataframe from fyf
          print(extras_data.loc[:,sorted_columns])

          #or you can store it back to itself
          extras_data = extras_data.loc[:,sorted_columns]





          share|improve this answer
























          • thats work perfectly

            – Fede
            Nov 23 '18 at 14:09
















          3














          This is how I would do it.



          "your code here"

          #after pulling the data from fyf. This will check what
          #actual stocks were pulled and put it in a list

          sorted_columns = [STOCK for STOCK in STOCKS if STOCK in extras_data.columns]

          #then I use those columns to re-sort the dataframe from fyf
          print(extras_data.loc[:,sorted_columns])

          #or you can store it back to itself
          extras_data = extras_data.loc[:,sorted_columns]





          share|improve this answer
























          • thats work perfectly

            – Fede
            Nov 23 '18 at 14:09














          3












          3








          3







          This is how I would do it.



          "your code here"

          #after pulling the data from fyf. This will check what
          #actual stocks were pulled and put it in a list

          sorted_columns = [STOCK for STOCK in STOCKS if STOCK in extras_data.columns]

          #then I use those columns to re-sort the dataframe from fyf
          print(extras_data.loc[:,sorted_columns])

          #or you can store it back to itself
          extras_data = extras_data.loc[:,sorted_columns]





          share|improve this answer













          This is how I would do it.



          "your code here"

          #after pulling the data from fyf. This will check what
          #actual stocks were pulled and put it in a list

          sorted_columns = [STOCK for STOCK in STOCKS if STOCK in extras_data.columns]

          #then I use those columns to re-sort the dataframe from fyf
          print(extras_data.loc[:,sorted_columns])

          #or you can store it back to itself
          extras_data = extras_data.loc[:,sorted_columns]






          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 23 '18 at 12:24









          fcsrfcsr

          638413




          638413













          • thats work perfectly

            – Fede
            Nov 23 '18 at 14:09



















          • thats work perfectly

            – Fede
            Nov 23 '18 at 14:09

















          thats work perfectly

          – Fede
          Nov 23 '18 at 14:09





          thats work perfectly

          – Fede
          Nov 23 '18 at 14:09




















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