cudf.Series.explode#
- Series.explode(ignore_index=False)[source]#
Transform each element of a list-like to a row, replicating index values.
- Parameters:
- ignore_indexbool, default False
If True, the resulting index will be labeled 0, 1, …, n - 1.
- Returns:
- Series
Examples
>>> import cudf >>> s = cudf.Series([[1, 2, 3], [], None, [4, 5]]) >>> s 0 [1, 2, 3] 1 [] 2 None 3 [4, 5] dtype: list >>> s.explode() 0 1 0 2 0 3 1 <NA> 2 <NA> 3 4 3 5 dtype: int64