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Classe « Index »

Méthode pandas.Index.to_series

Signature de la méthode to_series

def to_series(self, index=None, name: 'Hashable | None' = None) -> 'Series' 

Description

help(Index.to_series)

Create a Series with both index and values equal to the index keys.

Useful with map for returning an indexer based on an index.

Parameters
----------
index : Index, optional
    Index of resulting Series. If None, defaults to original index.
name : str, optional
    Name of resulting Series. If None, defaults to name of original
    index.

Returns
-------
Series
    The dtype will be based on the type of the Index values.

See Also
--------
Index.to_frame : Convert an Index to a DataFrame.
Series.to_frame : Convert Series to DataFrame.

Examples
--------
>>> idx = pd.Index(['Ant', 'Bear', 'Cow'], name='animal')

By default, the original index and original name is reused.

>>> idx.to_series()
animal
Ant      Ant
Bear    Bear
Cow      Cow
Name: animal, dtype: object

To enforce a new index, specify new labels to ``index``:

>>> idx.to_series(index=[0, 1, 2])
0     Ant
1    Bear
2     Cow
Name: animal, dtype: object

To override the name of the resulting column, specify ``name``:

>>> idx.to_series(name='zoo')
animal
Ant      Ant
Bear    Bear
Cow      Cow
Name: zoo, dtype: object

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