Classe « DataFrame »

Méthode pandas.DataFrame.align

Signature de la méthode align

def align(self, other, join='outer', axis=None, level=None, copy=True, fill_value=None, method=None, limit=None, fill_axis=0, broadcast_axis=None) -> 'DataFrame' 

Description

align.__doc__

Align two objects on their axes with the specified join method.

Join method is specified 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 : bool, 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', 1 or 'columns'}, default 0
    Filling axis, method and limit.
broadcast_axis : {0 or 'index', 1 or 'columns'}, default None
    Broadcast values along this axis, if aligning two objects of
    different dimensions.

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