How to select all columns except one column in pandas

Question

I have a dataframe look like this   import pandas import numpy as np df   DataFrame np random rand 4 4   columns   list  abcd    df       a         b         c         d 0  0 418762  0 042369  0 869203  0 972314 1  0 991058  0 510228  0 594784  0 534366 2  0 407472  0 259811  0 396664  0 894202 3  0 726168  0 139531  0 324932  0 906575   How I can get all columns except column b

User · Answer

Here is a one line lambda   df map lambda x  x not in   b    list df columns      before   import pandas import numpy as np df   pd DataFrame np random rand 4 4   columns   list  abcd    df         a           b           c           d 0   0 774951    0 079351    0 118437    0 735799 1   0 615547    0 203062    0 437672    0 912781 2   0 804140    0 708514    0 156943    0 104416 3   0 226051    0 641862    0 739839    0 434230   after   df map lambda x  x not in   b    list df columns             a          c          d 0   0 774951    0 118437    0 735799 1   0 615547    0 437672    0 912781 2   0 804140    0 156943    0 104416 3   0 226051    0 739839    0 434230

User · Answer

Don t use ix  It s deprecated  The most readable and idiomatic way of doing this is df drop      gt  gt  gt  df            a         b         c         d 0  0 175127  0 191051  0 382122  0 869242 1  0 414376  0 300502  0 554819  0 497524 2  0 142878  0 406830  0 314240  0 093132 3  0 337368  0 851783  0 933441  0 949598   gt  gt  gt  df drop  b   axis 1             a         c         d 0  0 175127  0 382122  0 869242 1  0 414376  0 554819  0 497524 2  0 142878  0 314240  0 093132 3  0 337368  0 933441  0 949598   Note that by default   drop   does not operate inplace  despite the ominous name  df is unharmed by this process  If you want to permanently remove b from df  do df drop  b   inplace True    df drop   also accepts a list of labels  e g  df drop   a    b    axis 1  will drop column a and b

User · Answer

Another slight modification to  Salvador Dali enables a list of columns to exclude   df  i for i in list df columns  if i not in  list of columns to exclude      or  df loc    i for i in list df columns  if i not in  list of columns to exclude

User · Answer

Here is another way   df  i for i in list df columns  if i      lt your column gt       You just pass all columns to be shown except of the one you do not want

User · Answer

I think the best way to do is the way mentioned by  Salvador Dali  Not that the others are wrong    Because when you have a data set where you just want to select one column and put it into one variable and the rest of the columns into another for comparison or computational purposes  Then dropping the column of the data set might not help  Of course there are use cases for that as well    x cols    x for x in data columns if x     name of column to be excluded     Then you can put those collection of columns in variable x cols into another variable like x cols1 for other computation   ex  x cols1   data x cols

User · Answer

You can drop columns in index  df df columns drop  b     Output            a         c         d 0  0 418762  0 869203  0 972314 1  0 991058  0 594784  0 534366 2  0 407472  0 396664  0 894202 3  0 726168  0 324932  0 906575

User · Answer

When the columns are not a MultiIndex  df columns is just an array of column names so you can do   df loc    df columns     b              a         c         d 0  0 561196  0 013768  0 772827 1  0 882641  0 615396  0 075381 2  0 368824  0 651378  0 397203 3  0 788730  0 568099  0 869127

User · Answer

You can use df columns isin     df loc     df columns isin   b       When you want to drop multiple columns  as simple as    df loc     df columns isin   col1    col2

User · Answer

I think a nice solution is with the function filter of pandas and regex  match everything except  quot b quot    df filter regex  quot     b   quot

User · Answer

df df columns difference   b      Out             a         c         d 0  0 427809  0 459807  0 333869 1  0 678031  0 668346  0 645951 2  0 996573  0 673730  0 314911 3  0 786942  0 719665  0 330833

[python] How to select all columns, except one column in pandas?

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