Pandas read in table without headers

Question

How can I read in a  csv file  with no headers  and when I only want a subset of the columns  say 4th and 7th out of a total of 20 columns   using pandas  I cannot seem to be able to do usecols

User · Answer

Make sure you specify pass header None and add usecols  3 6  for the 4th and 7th columns

User · Answer

Previous answers were good and correct  but in my opinion  an extra names parameter will make it perfect  and it should be the recommended way  especially when the csv has no headers   Solution  Use usecols and names parameters  df   pd read csv file path  usecols  3 6   names   colA    colB      Additional reading  or use header None to explicitly tells people that the csv has no headers  anyway both lines are identical   df   pd read csv file path  usecols  3 6   names   colA    colB    header None    So that you can retrieve your data by     with  names  parameter df  colA   df  colB      instead of     without  names  parameter df 0  df 1    Explain  Based on read csv  when names are passed explicitly  then header will be behaving like None instead of 0  so one can skip header None when names exist

User · Answer

In order to read a csv in that doesn t have a header and for only certain columns you need to pass params header None and usecols  3 6  for the 4th and 7th columns   df   pd read csv file path  header None  usecols  3 6     See the docs

[python] Pandas read in table without headers

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