Document

explode(self, ignore_index: 'bool' = False) -> 'Series'

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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 <reshaping.explode> for more examples.

Parameters

ignore_index : bool, default False: If True, the resulting index will be labeled 0, 1, …, n - 1.

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Returns

Series: Exploded lists to rows; index will be duplicated for these rows.

Transform each element of a list-like to a row.

Examples

This example is valid syntax, but we were not able to check execution

>>> s = pd.Series([[1, 2, 3], 'foo', [], [3, 4]])
... s
0    [1, 2, 3]
1          foo
2           []
3       [3, 4]
dtype: object

This example is valid syntax, but we were not able to check execution

>>> s.explode()
0      1
0      2
0      3
1    foo
2    NaN
3      3
3      4
dtype: object

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.frame.DataFrame.explode

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