Transform each element of a list-like to a row.
This docstring was copied from pandas.core.series.Series.explode.
Some inconsistencies with the Dask version may exist.
New in version 0.25.0.
- ignore_indexbool, default False (Not supported in Dask)
If True, the resulting index will be labeled 0, 1, …, n - 1.
New in version 1.1.0.
Exploded lists to rows; index will be duplicated for these rows.
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.
>>> 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