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 : {‘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.