pandas.Series.explode — pandas 2.2.3 documentation (original) (raw)

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