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# pandas.Index.get_indexer_for

final Index.get_indexer_for(target)

  Guaranteed return of an indexer even when non-unique.

  This dispatches to get_indexer or get_indexer_non_unique as appropriate.

  Parameters:
    target Index

      An iterable containing the values to be used for computing indexer.

  Returns:
    np.ndarray[np.intp]

      List of indices.

  See also

  `Index.get_indexer`

    Computes indexer and mask for new index given the current index.

  `Index.get_non_unique`

    Returns indexer and masks for new index given the current index.

  Examples

      >>> idx = pd.Index([np.nan, "var1", np.nan])
      >>> idx.get_indexer_for([np.nan])
      array([0, 2])