pandas.Series.explode#
- Series.explode(ignore_index=False)[source]#
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.
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