# pandas.Series.explode

`Series.``explode`() → pandas.core.series.Series

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

  New in version 0.25.0.

  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, 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

      >>> 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

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