unstack(self, level=-1, fill_value=None) -> 'DataFrame'

Notes

Reference the user guide <reshaping.stacking> for more examples.

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.

Returns

DataFrame

Unstacked Series.

Unstack, also known as pivot, Series with MultiIndex to produce DataFrame.

Examples

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

>>> 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

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 :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.series.Series.explode

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/series.py#4113
type: <class 'function'>
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