Pandas: Change a specific column name in dataframe having multilevel columns

Question

I want to find the way change name of specific column in a multilevel dataframe.

With this data:

data = {
    (\'A\', \'1\', \'I\'): [1, 2, 3, 4, 5], 
           


        

Answer 1

I came across this question as I was myself trying to find the solution for renaming the column names in a data frame with multiple levels. I tried the solution provided by @Dark Matter since it appeared to be very simple solution:

dataDF.columns.levels = [[u'Z', u'B', u'C', u'D', u'E'], [u'100', u'2', u'3', u'4', u'5'], [u'Z', u'II', u'III']]

But an error message was displayed:

C:\anaconda3\lib\site-packages\ipykernel_launcher.py:1: FutureWarning: setting `levels` directly is deprecated. Use set_levels instead
  """Entry point for launching an IPython kernel.

It appears that it worked but does not work anymore. So I used:

dataDF.columns.set_levels([['Z', 'B', 'C', 'D', 'E'],
                           ['100', '2', '3', '4', '5'],
                           ['Z', 'II', 'III']],
                          [0, 1, 2], inplace=True)

Result: dataDF

Z   B   C   D   E
100 2   3   4   5
Z   II  Z   II  III
0   1   1   1   1   1
1   2   2   2   2   2
2   3   3   3   3   3
3   4   4   4   4   4
4   5   5   5   5   5