# pandas.Series.align¶

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

- param other
DataFrame or Series

- param join
{‘outer’, ‘inner’, ‘left’, ‘right’}, default ‘outer’

- param axis
- allowed axis of the other object, default None
Align on index (0), columns (1), or both (None)

- param level
- int or level name, default None
Broadcast across a level, matching Index values on the passed MultiIndex level

- param copy
- boolean, default True
Always returns new objects. If copy=False and no reindexing is required then original objects are returned.

- param fill_value
- scalar, default np.NaN
Value to use for missing values. Defaults to NaN, but can be any “compatible” value

- param 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

- param 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.

- param fill_axis
- {0 or ‘index’}, default 0
Filling axis, method and limit

- param broadcast_axis
- {0 or ‘index’}, default None
Broadcast values along this axis, if aligning two objects of different dimensions

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

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler