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Changing the Values of a Multi-Index Dataframe

I have a multi-index dataframe that is set up as follows:

index = pd.MultiIndex.from_product([['A','B','C'], ['x','y', 'z']])
multi_index = pd.DataFrame(np.nan, index=np.arange(10), columns=index)

Which produces the following output:

A           B           C        
    x   y   z   x   y   z   x   y   z
0 NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 NaN NaN NaN NaN NaN NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN NaN NaN NaN NaN
4 NaN NaN NaN NaN NaN NaN NaN NaN NaN
5 NaN NaN NaN NaN NaN NaN NaN NaN NaN
6 NaN NaN NaN NaN NaN NaN NaN NaN NaN
7 NaN NaN NaN NaN NaN NaN NaN NaN NaN
8 NaN NaN NaN NaN NaN NaN NaN NaN NaN
9 NaN NaN NaN NaN NaN NaN NaN NaN NaN

I am trying to fill the values of the multi-index data frame with values. As a toy example, what I've tried to do is change the value of ['A','x',0] as follows:

multi_index['A']['x'].loc[0] = 65.2

However, I receive a 'SettingWithCopyWarning', which makes sense to me. I've also tried

multi_index['A'].iloc[[1],0] = 65.2

and received the same warning.

Is there a way one can change the values of a multi-index dataframe on a entry-by-entry basis? I.E changing the 0th index of ['A','x']?



source https://stackoverflow.com/questions/72706644/changing-the-values-of-a-multi-index-dataframe

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