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pandas.DataFrame.explode

DataFrame.explode(self, column: Union[str, Tuple]) → 'DataFrame' [source]

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

New in version 0.25.0.

Parameters:
column : str or tuple
Returns:
DataFrame

Exploded lists to rows of the subset columns; index will be duplicated for these rows.

Raises:
ValueError :

if columns of the frame are not unique.

See also

DataFrame.unstack
Pivot a level of the (necessarily hierarchical) index labels
DataFrame.melt
Unpivot a DataFrame from wide format to long format
Series.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

>>> df = pd.DataFrame({'A': [[1, 2, 3], 'foo', [], [3, 4]], 'B': 1})
>>> df
           A  B
0  [1, 2, 3]  1
1        foo  1
2         []  1
3     [3, 4]  1
>>> df.explode('A')
     A  B
0    1  1
0    2  1
0    3  1
1  foo  1
2  NaN  1
3    3  1
3    4  1

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.DataFrame.explode.html