pandas.Series.explode

Series.explode(ignore_index=False)

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

New in version 0.25.0.

Parameters

ignore_indexbool, default False

If True, the resulting index will be labeled 0, 1, …, n - 1.

New in version 1.1.0.

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.

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

pandas.Series.expanding pandas.Series.factorize