def unstack(self, level=-<NUM_LIT:1>, fill_value=None):
from pandas.core.reshape.reshape import unstack<EOL>return unstack(self, level, fill_value)<EOL>
Unstack, a.k.a. pivot, Series with MultiIndex to produce DataFrame.
The level involved will automatically get sorted.

Parameters
----------
level : int, str, or list of these, default last level
    Level(s) to unstack, can pass level name.
fill_value : scalar value, default None
    Value to use when replacing NaN values.

    .. versionadded:: 0.18.0

Returns
-------
DataFrame
    Unstacked Series.

Examples
--------
>>> 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