By default, missing values will be replaced with the defaultДЇill value for that data type, NaN for float, NaT for datetimelike,Д®tc. Unstacking can result in missing values if subgroups do not have the same The list of levels can contain either level names or level numbers (but The clearest way to explain is by example. (possibly hierarchical) row index to the column axis, producing a reshapedДataFrame with a new inner-most level of column labels. Unstack(): (inverse operation of stack()) вЂњpivotвЂќ a level of the Returning a DataFrame with an index with a new inner-most level of row Stack(): вЂњpivotвЂќ a level of the (possibly hierarchical) column labels, Here are essentially what these methods do:

MultiIndex objects (see the section on hierarchical indexing). These methods are designed to work together with Stack() and unstack() methods available on Reshaping by stacking and unstacking В¶Д¬losely related to the pivot() method are the related Of pivot that can handle duplicate values for one index/column pair. In thisД¬ase, consider using pivot_table() which is a generalization Pivot() will error with a ValueError: Index contains duplicate entries, cannot reshape if the index/column pair is not unique.

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