Yes, it seems possible to nest dataframes but I would recommend instead rethinking how you want to structure your data, which depends on your application or the analyses you want to run on it after.

How to “nest” dataframes into another dataframe

Your dataframe containing your nested “sub-dataframes” won’t be displayed very nicely. However, just to show that it is possible to nest your dataframes, take a look at this mini-example:

Here we have 3 random dataframes:

>>> df1
          0         1         2
0  0.614679  0.401098  0.379667
1  0.459064  0.328259  0.592180
2  0.916509  0.717322  0.319057
>>> df2
          0         1         2
0  0.090917  0.457668  0.598548
1  0.748639  0.729935  0.680409
2  0.301244  0.024004  0.361283
>>> df3
          0         1         2
0  0.200375  0.059798  0.665323
1  0.086708  0.320635  0.594862
2  0.299289  0.014134  0.085295

We can make a main dataframe that includes these dataframes as values in individual “cells”:

df = pd.DataFrame({'idx':[1,2,3], 'dfs':[df1, df2, df3]})

We can then access these nested datframes as we would access any value in any other dataframe:

>>> df['dfs'].iloc[0]
          0         1         2
0  0.614679  0.401098  0.379667
1  0.459064  0.328259  0.592180
2  0.916509  0.717322  0.319057