pandas.Series.explode

Series.explode(self) → 'Series' [source]

Transform each element of a list-like to a row, replicating the index values.

New in version 0.25.0.

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, Series, and np.ndarray. The result dtype of the subset rows will be object. Scalars will be returned unchanged. Empty list-likes will result in a np.nan for that row.

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