DataFrame.stack()

DataFrame.stack(level=-1, dropna=True) [source]

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:

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

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

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.stack.html

doc_Pandas

2017-01-12 04:46:36

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