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Classe « Series »

Méthode pandas.Series.explode

Signature de la méthode explode

def explode(self, ignore_index: 'bool' = False) -> 'Series' 

Description

help(Series.explode)

Transform each element of a list-like to a row.

Parameters
----------
ignore_index : bool, default False
    If True, the resulting index will be labeled 0, 1, ..., n - 1.

Returns
-------
Series
    Exploded lists to rows; index will be duplicated for these rows.

See Also
--------
Series.str.split : Split string values on specified separator.
Series.unstack : Unstack, a.k.a. pivot, Series with MultiIndex
    to produce DataFrame.
DataFrame.melt : Unpivot a DataFrame from wide format to long format.
DataFrame.explode : Explode a DataFrame from list-like
    columns to long format.

Notes
-----
This routine will explode list-likes including lists, tuples, sets,
Series, and np.ndarray. The result dtype of the subset rows will
be object. Scalars will be returned unchanged, and empty list-likes will
result in a np.nan for that row. In addition, the ordering of elements in
the output will be non-deterministic when exploding sets.

Reference :ref:`the user guide <reshaping.explode>` for more examples.

Examples
--------
>>> s = pd.Series([[1, 2, 3], 'foo', [], [3, 4]])
>>> s
0    [1, 2, 3]
1          foo
2           []
3       [3, 4]
dtype: object

>>> s.explode()
0      1
0      2
0      3
1    foo
2    NaN
3      3
3      4
dtype: object

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