pandas.Panel.reindex_axis

Panel.reindex_axis(labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan) [source]

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:

labels : array-like New labels / index to conform to. Preferably an Index object to avoid duplicating data axis : {0, 1, 2, ‘items’, ‘major_axis’, ‘minor_axis’} method : {None, ‘backfill’/’bfill’, ‘pad’/’ffill’, ‘nearest’}, optional Method to use for filling holes in reindexed DataFrame: default: don’t fill gaps pad / ffill: propagate last valid observation forward to next valid backfill / bfill: use next valid observation to fill gap nearest: use nearest valid observations 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 number of consecutive elements to forward or backward fill tolerance : optional Maximum distance between original and new labels for inexact matches. The values of the index at the matching locations most satisfy the equation abs(index[indexer] - target) <= tolerance. New in version 0.17.0.

Returns:

reindexed : Panel

See also

reindex, reindex_like

Examples

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