Creating new column based on values of other column (condition on date present in multiple columns) in Python











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In the dataset, there are several columns with date as value. I need to create new columns based on certain condition on the date values. Certain date values are replaced by "N" character, so it appears that entire column is being treated as string.



Date 1      Date 2
2012-12-03 2012-12-07
2004-12-31 N
N 2010-10-20
2014-11-22 N
2014-12-16 2014-12-31

df = read_csv('filepath')
df['Level'] = np.where(df['Date 1'] - df['Date 2'] > '60', 'Level 1','Level 2')


This is giving me an error



TypeError: unsupported operand type(s) for -: 'str' and 'str'



Also the condition will include another scenario (the syntax may not be correct)



np.where(df['Date 1'] == pd.datetime('YYYY-MM-DD') & df['Date 1'] == "N", 'Level 1','Level 2')


Any direction in this regard would be helpful.










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    up vote
    0
    down vote

    favorite












    In the dataset, there are several columns with date as value. I need to create new columns based on certain condition on the date values. Certain date values are replaced by "N" character, so it appears that entire column is being treated as string.



    Date 1      Date 2
    2012-12-03 2012-12-07
    2004-12-31 N
    N 2010-10-20
    2014-11-22 N
    2014-12-16 2014-12-31

    df = read_csv('filepath')
    df['Level'] = np.where(df['Date 1'] - df['Date 2'] > '60', 'Level 1','Level 2')


    This is giving me an error



    TypeError: unsupported operand type(s) for -: 'str' and 'str'



    Also the condition will include another scenario (the syntax may not be correct)



    np.where(df['Date 1'] == pd.datetime('YYYY-MM-DD') & df['Date 1'] == "N", 'Level 1','Level 2')


    Any direction in this regard would be helpful.










    share|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      In the dataset, there are several columns with date as value. I need to create new columns based on certain condition on the date values. Certain date values are replaced by "N" character, so it appears that entire column is being treated as string.



      Date 1      Date 2
      2012-12-03 2012-12-07
      2004-12-31 N
      N 2010-10-20
      2014-11-22 N
      2014-12-16 2014-12-31

      df = read_csv('filepath')
      df['Level'] = np.where(df['Date 1'] - df['Date 2'] > '60', 'Level 1','Level 2')


      This is giving me an error



      TypeError: unsupported operand type(s) for -: 'str' and 'str'



      Also the condition will include another scenario (the syntax may not be correct)



      np.where(df['Date 1'] == pd.datetime('YYYY-MM-DD') & df['Date 1'] == "N", 'Level 1','Level 2')


      Any direction in this regard would be helpful.










      share|improve this question













      In the dataset, there are several columns with date as value. I need to create new columns based on certain condition on the date values. Certain date values are replaced by "N" character, so it appears that entire column is being treated as string.



      Date 1      Date 2
      2012-12-03 2012-12-07
      2004-12-31 N
      N 2010-10-20
      2014-11-22 N
      2014-12-16 2014-12-31

      df = read_csv('filepath')
      df['Level'] = np.where(df['Date 1'] - df['Date 2'] > '60', 'Level 1','Level 2')


      This is giving me an error



      TypeError: unsupported operand type(s) for -: 'str' and 'str'



      Also the condition will include another scenario (the syntax may not be correct)



      np.where(df['Date 1'] == pd.datetime('YYYY-MM-DD') & df['Date 1'] == "N", 'Level 1','Level 2')


      Any direction in this regard would be helpful.







      python-3.x date condition multiple-columns






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      asked 2 days ago









      Devarshi Mandal

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