pandas.Series.align

Series.align(other, join=’outer’, axis=None, level=None, copy=True, fill_value=None, method=None, limit=None, fill_axis=0, broadcast_axis=None)

Align two object 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 : str, default None

limit : int, default None

fill_axis : {0, ‘index’}, default 0

Filling axis, method and limit

broadcast_axis : {0, ‘index’}, default None

Broadcast values along this axis, if aligning two objects of different dimensions

New in version 0.17.0.

Returns:

(left, right) : (Series, type of other)

Aligned objects