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) [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 : str, default None limit : int, default 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