pandas.DataFrame.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

param broadcast_axis

{0 or ‘index’, 1 or ‘columns’}, default None: Broadcast values along this axis, if aligning two objects of different dimensions

return

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

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler