How to sort pandas data frame using values from several columns

Question

I have the following data frame   df   pandas DataFrame    c1  3  c2  10    c1  2   c2  30    c1  1  c2  20    c1  2  c2  15    c1  2  c2  100      Or  in human readable form      c1   c2 0   3   10 1   2   30 2   1   20 3   2   15 4   2  100   The following sorting-command works as expected   df sort   c1   c2    ascending False    Output      c1   c2 0   3   10 4   2  100 1   2   30 3   2   15 2   1   20   But the following command   df sort   c1   c2    ascending  False True     results in     c1   c2 2   1   20 3   2   15 1   2   30 4   2  100 0   3   10   and this is not what I expect  I expect to have the values in the first column ordered from largest to smallest  and if there are identical values in the first column  order by the ascending values from the second column   Does anybody know why it does not work as expected   ADDED  This is copy-paste    gt  gt  gt  df sort   c1   c2    ascending  False True      c1   c2 2   1   20 3   2   15 1   2   30 4   2  100 0   3   10

User · Answer

Note   Everything up here is correct just replace sort --  sort values   So  it becomes    import pandas as pd  df   pd read csv  data csv    df sort values ascending False inplace True    Refer to the official website here

User · Answer

DataFrame sort is deprecated  use DataFrame sort values    gt  gt  gt  df sort values   c1   c2    ascending  False True      c1   c2 0   3   10 3   2   15 1   2   30 4   2  100 2   1   20  gt  gt  gt  df sort   c1   c2    ascending  False True   Traceback  most recent call last     File   lt stdin gt    line 1  in  lt module gt    File   Users ampawake anaconda envs pseudo lib python2 7 site-packages pandas core generic py   line 3614  in   getattr       return object   getattribute   self  name  AttributeError   DataFrame  object has no attribute  sort

User · Answer

If you are writing this code as a script file then you will have to write it like this   df   df sort   c1   c2    ascending  False True

User · Answer

I have found this to be really useful    df   pd DataFrame   A    range 0 10    2   B    np random randint 20 30 20       A ascending  B descending df sort   skw columns   A   -B        A descending  B ascending df sort   skw columns   -A    B       Note that unlike the standard columns  ascending  arguments  here column names and their sort order are in the same place  As a result your code gets a lot easier to read and maintain   Note the actual call to  sort is unchanged  skw  sortkwargs  is just a small helper function that parses the columns and returns the usual columns  and ascending  parameters for you  Pass it any other sort kwargs as you usually would  Copy paste the following code into e g  your local utils py then forget about it and just use it as above     utils py  or anywhere else convenient to import  def skw columns None    kwargs           get sort kwargs by parsing sort order given in column name           set default order as ascending         sort cols          col if col 0      -  else col for col in columns        get sort kwargs     columns  ascending   zip    col replace          replace  -                                         False if col 0      -  else True                                  for col in sort cols       kwargs update dict columns list columns   ascending ascending       return kwargs

User · Answer

The dataframe sort   method is - so my understanding - deprecated in pandas   0 18  In order to solve your problem you should use dataframe sort values   instead   f sort values by   c1   c2    ascending  False  True     The output looks like this        c1  c2     3   10     2   15     2   30     2   100     1   20

User · Answer

Use of sort can result in warning message  See github discussion  So you might wanna use sort values  docs here  Then your code can look like this   df   df sort values by   c1   c2    ascending  False True

User · Answer

In my case  the accepted answer didn t work   f sort values by   c1   c2    ascending  False  True    Only the following worked as expected   f   f sort values by   c1   c2    ascending  False  True

[python] How to sort pandas data frame using values from several columns?

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