Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
MultiIndex.to_frame() function create a DataFrame with the levels of the MultiIndex as columns.
index : Set the index of the returned DataFrame as the original MultiIndex.
Returns : DataFrame : a DataFrame containing the original MultiIndex data.
Example #1: Use
MultiIndex.to_frame() function to construct a dataframe using the MultiIndex levels as the column and index.
Now let’s construct the dataframe from the MultiIndex.
As we can see in the output, the function has constructed the Dataframe using the MultiIndex. Notice the index of the dataframe is constructed using the levels of the MultiIndex.
Example #2: Use
MultiIndex.to_frame() function to construct a DataFrame using the MultiIndex. Do not use the MultiIndex levels to construct the index of the Dataframe.
Now let’s create a dataframe using the midx MultiIndex.
As we can see in the output, the function has returned a DataFrame having different index value.
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