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DataFrame.stack(level=-1, dropna=True)
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Pivot a level of the (possibly hierarchical) column labels, returning a DataFrame (or Series in the case of an object with a single level of column labels) having a hierarchical index with a new inner-most level of row labels. The level involved will automatically get sorted.
Parameters: level : int, string, or list of these, default last level
Level(s) to stack, can pass level name
dropna : boolean, default True
Whether to drop rows in the resulting Frame/Series with no valid values
Returns: stacked : DataFrame or Series
Examples
>>> s a b one 1. 2. two 3. 4.
>>> s.stack() one a 1 b 2 two a 3 b 4
DataFrame.stack()
2017-01-12 04:46:36
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