Renaming Columns in pandas using pandas. DataFrame. rename() method

Pandas 0.21+ Answer

There have been some significant updates to column renaming in version 0.21.

  • The rename method has added the axis parameter which may be set to columns or 1. This update makes this method match the rest of the pandas API. It still has the index and columns parameters but you are no longer forced to use them.

Examples for Pandas 0.21+

Construct sample DataFrame:

df = pd.DataFrame({'$a':[1,2], '$b': [3,4],                    '$c':[5,6], '$d':[7,8],                    '$e':[9,10]})   $a  $b  $c  $d  $e0   1   3   5   7   91   2   4   6   8  10

Using rename with axis='columns' or axis=1

df.rename({'$a':'a', '$b':'b', '$c':'c', '$d':'d', '$e':'e'}, axis='columns')

or

df.rename({'$a':'a', '$b':'b', '$c':'c', '$d':'d', '$e':'e'}, axis=1)

Both result in the following:

   a  b  c  d   e0  1  3  5  7   91  2  4  6  8  10

It is still possible to use the old method signature:

df.rename(columns={'$a':'a', '$b':'b', '$c':'c', '$d':'d', '$e':'e'})

The rename function also accepts functions that will be applied to each column name.

df.rename(lambda x: x[1:], axis='columns')

or

df.rename(lambda x: x[1:], axis=1)