pandas.Series.align

Series.align(self, other, join='outer', axis=None, level=None, copy=True, fill_value=None, method=None, limit=None, fill_axis=0, broadcast_axis=None) [source]

Align two objects on their axes with the specified join method for each axis Index.

Parameters:

other : DataFrame or Series join : {‘outer’, ‘inner’, ‘left’, ‘right’}, default ‘outer’ axis : allowed axis of the other object, default None Align on index (0), columns (1), or both (None) level : int or level name, default None Broadcast across a level, matching Index values on the passed MultiIndex level copy : boolean, default True Always returns new objects. If copy=False and no reindexing is required then original objects are returned. fill_value : scalar, default np.NaN Value to use for missing values. Defaults to NaN, but can be any “compatible” value method : {‘backfill’, ‘bfill’, ‘pad’, ‘ffill’, None}, default None Method to use for filling holes in reindexed Series pad / ffill: propagate last valid observation forward to next valid backfill / bfill: use NEXT valid observation to fill gap limit : int, default None If method is specified, this is the maximum number of consecutive NaN values to forward/backward fill. In other words, if there is a gap with more than this number of consecutive NaNs, it will only be partially filled. If method is not specified, this is the maximum number of entries along the entire axis where NaNs will be filled. Must be greater than 0 if not None. fill_axis : {0 or ‘index’}, default 0 Filling axis, method and limit broadcast_axis : {0 or ‘index’}, default None Broadcast values along this axis, if aligning two objects of different dimensions

Returns:

(left, right) : (Series, type of other) Aligned objects.