python pandas not reading first column from csv file

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爱一瞬间的悲伤
爱一瞬间的悲伤 2020-12-16 10:06

I have a simple 2 column csv file called st1.csv:

GRID    St1  
1457    614  
1458    657  
1459    679  
1460    732  
1461    754  
1462    811  
1463    7         


        
3条回答
  •  暖寄归人
    2020-12-16 10:18

    For newer versions of pandas, pd.DataFrame.from_csv doesn't exist anymore, and index_col=None no longer does the trick with pd.read_csv. You'll want to use pd.read_csv with index_col=False instead:

    pd.read_csv('st1.csv', index_col=False)
    

    Example:

    (so) URSA-MattM-MacBook:stackoverflow mmessersmith$ cat input.csv 
    Date                        Employee        Operation        Order
    
    2001-01-01 08:32:17         User1           Approved         #00045
    2001-01-01 08:36:23         User1           Edited           #00045
    2001-01-01 08:41:04         User1           Rejected         #00046
    2001-01-01 08:42:56         User1           Deleted          #00046
    2001-01-02 09:01:11         User1           Created          #00047
    2019-10-03 17:23:45         User1           Approved         #72681
    
    (so) URSA-MattM-MacBook:stackoverflow mmessersmith$ python
    Python 3.7.4 (default, Aug 13 2019, 15:17:50) 
    [Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import pandas as pd
    >>> pd.__version__
    '0.25.1'              
    >>> df_bad_index = pd.read_csv('input.csv', delim_whitespace=True)
    >>> df_bad_index
                    Date Employee Operation   Order
    2001-01-01  08:32:17    User1  Approved  #00045
    2001-01-01  08:36:23    User1    Edited  #00045
    2001-01-01  08:41:04    User1  Rejected  #00046
    2001-01-01  08:42:56    User1   Deleted  #00046
    2001-01-02  09:01:11    User1   Created  #00047
    2019-10-03  17:23:45    User1  Approved  #72681
    >>> df_bad_index.index
    Index(['2001-01-01', '2001-01-01', '2001-01-01', '2001-01-01', '2001-01-02',
           '2019-10-03'],
          dtype='object')
    >>> df_still_bad_index = pd.read_csv('input.csv', delim_whitespace=True, index_col=None)
    >>> df_still_bad_index
                    Date Employee Operation   Order
    2001-01-01  08:32:17    User1  Approved  #00045
    2001-01-01  08:36:23    User1    Edited  #00045
    2001-01-01  08:41:04    User1  Rejected  #00046
    2001-01-01  08:42:56    User1   Deleted  #00046
    2001-01-02  09:01:11    User1   Created  #00047
    2019-10-03  17:23:45    User1  Approved  #72681
    >>> df_still_bad_index.index
    Index(['2001-01-01', '2001-01-01', '2001-01-01', '2001-01-01', '2001-01-02',
           '2019-10-03'],
          dtype='object')
    >>> df_good_index = pd.read_csv('input.csv', delim_whitespace=True, index_col=False)
    >>> df_good_index
             Date  Employee Operation     Order
    0  2001-01-01  08:32:17     User1  Approved
    1  2001-01-01  08:36:23     User1    Edited
    2  2001-01-01  08:41:04     User1  Rejected
    3  2001-01-01  08:42:56     User1   Deleted
    4  2001-01-02  09:01:11     User1   Created
    5  2019-10-03  17:23:45     User1  Approved
    >>> df_good_index.index
    RangeIndex(start=0, stop=6, step=1)
    

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