Series.unstack(level=-1, fill_value=None) [source]
Unstack, a.k.a. pivot, Series with MultiIndex to produce DataFrame. The level involved will automatically get sorted.
| Parameters: |
level : int, string, or list of these, default last level Level(s) to unstack, can pass level name fill_value : replace NaN with this value if the unstack produces missing values New in version 0.18.0. |
|---|---|
| Returns: |
|
>>> s = pd.Series([1, 2, 3, 4],
... index=pd.MultiIndex.from_product([['one', 'two'], ['a', 'b']]))
>>> s
one a 1
b 2
two a 3
b 4
dtype: int64
>>> s.unstack(level=-1)
a b
one 1 2
two 3 4
>>> s.unstack(level=0) one two a 1 3 b 2 4
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.unstack.html