Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns. Pandas DataFrame consists of three principal components, the data, rows, and columns. A Multiindex Dataframe is a pandas dataframe having multi-level indexing or hierarchical indexing.
Pandas needs multi-index values as tuples, not as a nested dictionary. So, first, we need to convert the nested index values into tuples.
Notice that in the reformed_dict, index values are in the tuple. Now to convert reformed_dict into multiindex dataframe, we can use pd.DataFrame() method.
Here in the output, we can see the hierarchical index/ multi index for the column.
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