How to replace an individual level in a multi-level column index in pandas

Consider the following multi-level column index dataframe:

Index a cell from pandas contingency table

I have created a contingency table in pandas using pd.crosstab and it looks like the following:

Pandas Multiidex concat

list of dataframes (ex. dfs = [df1, df2, …])

Select multi-index when one subindex obeys condition

If I build a dataframe like this

Is a pandas MultiIndex a counterpart to a SQL composite index?

I posted this on reddit some days ago, but haven’t received any response.

Discontinuous selections with pandas MultiIndex

I have the following DataFrame with MultiIndex columns (the same applies to MultiIndex rows):

How to build a MultiIndex DataFrame from a dict of data and a dict of index levels

I’m struggling with the creation of this DataFrame