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pandas.Series.explode — pandas 2.3.1 documentation

Series.explode(ignore_index=False)[source]#

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

Parameters:

ignore_indexbool, 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.

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 the user guide 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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