usecols in Python not reading the headings in my CSV











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I have a CSV with Headings in row 1, Number and Arrival Date, these are columns 0 and 8.



When I write: 



cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=[0,8])


It works fine.



however, I wanted to use a string in case more columns are ever added to the report and shifted the count.



I cut and paste the headings in from the CSV to make sure Case and white space were correct.



This is my code: 



cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=['Number','Arrival Date'])


This returns a ValueError saying there are no matching columns with these names?
While the error points to this line, it should be noted that the next line of code renames them, 



cv2.columns = ['Supply Number','Delivery Date']


This works fine when I use the numbers to target the columns.
Any ideas?



Thanks,
Ben






python pandas csv







share|improve this question




























    up vote
    0
    down vote

    favorite












    I have a CSV with Headings in row 1, Number and Arrival Date, these are columns 0 and 8.



    When I write: 



    cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=[0,8])


    It works fine.



    however, I wanted to use a string in case more columns are ever added to the report and shifted the count.



    I cut and paste the headings in from the CSV to make sure Case and white space were correct.



    This is my code: 



    cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=['Number','Arrival Date'])


    This returns a ValueError saying there are no matching columns with these names?
    While the error points to this line, it should be noted that the next line of code renames them, 



    cv2.columns = ['Supply Number','Delivery Date']


    This works fine when I use the numbers to target the columns.
    Any ideas?



    Thanks,
    Ben






    python pandas csv







    share|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have a CSV with Headings in row 1, Number and Arrival Date, these are columns 0 and 8.



      When I write: 



      cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=[0,8])


      It works fine.



      however, I wanted to use a string in case more columns are ever added to the report and shifted the count.



      I cut and paste the headings in from the CSV to make sure Case and white space were correct.



      This is my code: 



      cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=['Number','Arrival Date'])


      This returns a ValueError saying there are no matching columns with these names?
      While the error points to this line, it should be noted that the next line of code renames them, 



      cv2.columns = ['Supply Number','Delivery Date']


      This works fine when I use the numbers to target the columns.
      Any ideas?



      Thanks,
      Ben






      python pandas csv







      share|improve this question















      I have a CSV with Headings in row 1, Number and Arrival Date, these are columns 0 and 8.



      When I write: 



      cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=[0,8])


      It works fine.



      however, I wanted to use a string in case more columns are ever added to the report and shifted the count.



      I cut and paste the headings in from the CSV to make sure Case and white space were correct.



      This is my code: 



      cv2 = pd.read_csv(honeyfile, skiprows=[0], header=None, usecols=['Number','Arrival Date'])


      This returns a ValueError saying there are no matching columns with these names?
      While the error points to this line, it should be noted that the next line of code renames them, 



      cv2.columns = ['Supply Number','Delivery Date']


      This works fine when I use the numbers to target the columns.
      Any ideas?



      Thanks,
      Ben






      python pandas csv




      python pandas csv






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited 20 hours ago









      Ali AzG

      432413




      432413










      asked 20 hours ago









      Runawaygeek

      347




      347
























          1 Answer
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          accepted










          I think you need:



          cv2 = pd.read_csv(honeyfile, usecols=['Number','Arrival Date'])


          because is necessary read header to columns names.



          skiprows=[0], header=None remove columns names, so only working usecols=[0,8].






          share|improve this answer

















          • 1




            Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
            – Runawaygeek
            20 hours ago











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          1 Answer
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          active

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          active

          oldest

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          active

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          up vote
          2
          down vote



          accepted










          I think you need:



          cv2 = pd.read_csv(honeyfile, usecols=['Number','Arrival Date'])


          because is necessary read header to columns names.



          skiprows=[0], header=None remove columns names, so only working usecols=[0,8].






          share|improve this answer

















          • 1




            Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
            – Runawaygeek
            20 hours ago















          up vote
          2
          down vote



          accepted










          I think you need:



          cv2 = pd.read_csv(honeyfile, usecols=['Number','Arrival Date'])


          because is necessary read header to columns names.



          skiprows=[0], header=None remove columns names, so only working usecols=[0,8].






          share|improve this answer

















          • 1




            Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
            – Runawaygeek
            20 hours ago













          up vote
          2
          down vote



          accepted







          up vote
          2
          down vote



          accepted






          I think you need:



          cv2 = pd.read_csv(honeyfile, usecols=['Number','Arrival Date'])


          because is necessary read header to columns names.



          skiprows=[0], header=None remove columns names, so only working usecols=[0,8].






          share|improve this answer












          I think you need:



          cv2 = pd.read_csv(honeyfile, usecols=['Number','Arrival Date'])


          because is necessary read header to columns names.



          skiprows=[0], header=None remove columns names, so only working usecols=[0,8].







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered 20 hours ago









          jezrael

          307k20241316




          307k20241316








          • 1




            Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
            – Runawaygeek
            20 hours ago














          • 1




            Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
            – Runawaygeek
            20 hours ago








          1




          1




          Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
          – Runawaygeek
          20 hours ago




          Perfect, of course, it does. Utter wood for trees moment! Thanks :-)
          – Runawaygeek
          20 hours ago


















           

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