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# pandas.Panel4D.reindex_axis

`Panel4D.``reindex_axis`(labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan)

  Conform input object to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False

  Parameters : | index : array-like, optional New labels / index to conform to. Preferably an Index object to avoid duplicating data axis : {0,1,2,’items’,’major_axis’,’minor_axis’} method : {‘backfill’, ‘bfill’, ‘pad’, ‘ffill’, None}, default None Method to use for filling holes in reindexed object. pad / ffill: propagate last valid observation forward to next valid backfill / bfill: use NEXT valid observation to fill gap copy : boolean, default True Return a new object, even if the passed indexes are the same level : int or name Broadcast across a level, matching Index values on the passed MultiIndex level limit : int, default None Maximum size gap to forward or backward fill
  Returns : | reindexed : Panel

  See also

  `reindex`, `reindex_like`

  Examples

      >>> df.reindex_axis(['A', 'B', 'C'], axis=1)

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