Parameters

index : MultiIndex

level : int or str, default last level

Level to "unstack". Accepts a name for the level.

fill_value : scalar, optional

Default value to fill in missing values if subgroups do not have the same set of labels. By default, missing values will be replaced with the default fill value for that data type, NaN for float, NaT for datetimelike, etc. For integer types, by default data will converted to float and missing values will be set to NaN.

constructor : object

Pandas DataFrame or subclass used to create unstacked response. If None, DataFrame will be used.

Returns

unstacked : DataFrame

Helper class to unstack data / pivot with multi-level index

Examples

This example is valid syntax, but we were not able to check execution

>>> index = pd.MultiIndex.from_tuples([('one', 'a'), ('one', 'b'),
...                                    ('two', 'a'), ('two', 'b')])
... s = pd.Series(np.arange(1, 5, dtype=np.int64), index=index)
... s
one  a    1
     b    2
two  a    3
     b    4
dtype: int64

This example is valid syntax, but we were not able to check execution

>>> s.unstack(level=-1)
     a  b
one  1  2
two  3  4

This example is valid syntax, but we were not able to check execution

>>> s.unstack(level=0)
   one  two
a    1    3
b    2    4

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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File: /pandas/core/reshape/reshape.py#55
type: <class 'type'>
Commit: