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xarray.broadcast

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xarray.broadcast#

xarray.broadcast(*args, exclude=None)[source]#

Explicitly broadcast any number of DataArray or Dataset objects against one another.

xarray objects automatically broadcast against each other in arithmetic operations, so this function should not be necessary for normal use.

If no change is needed, the input data is returned to the output without being copied.

Parameters:
Returns:

broadcast (tuple of DataArray or tuple of Dataset) โ€“ The same data as the input arrays, but with additional dimensions inserted so that all data arrays have the same dimensions and shape.

Examples

Broadcast two data arrays against one another to fill out their dimensions:

>>> a = xr.DataArray([1, 2, 3], dims="x")
>>> b = xr.DataArray([5, 6], dims="y")
>>> a
<xarray.DataArray (x: 3)> Size: 24B
array([1, 2, 3])
Dimensions without coordinates: x
>>> b
<xarray.DataArray (y: 2)> Size: 16B
array([5, 6])
Dimensions without coordinates: y
>>> a2, b2 = xr.broadcast(a, b)
>>> a2
<xarray.DataArray (x: 3, y: 2)> Size: 48B
array([[1, 1],
       [2, 2],
       [3, 3]])
Dimensions without coordinates: x, y
>>> b2
<xarray.DataArray (x: 3, y: 2)> Size: 48B
array([[5, 6],
       [5, 6],
       [5, 6]])
Dimensions without coordinates: x, y

Fill out the dimensions of all data variables in a dataset:

>>> ds = xr.Dataset({"a": a, "b": b})
>>> (ds2,) = xr.broadcast(ds)  # use tuple unpacking to extract one dataset
>>> ds2
<xarray.Dataset> Size: 96B
Dimensions:  (x: 3, y: 2)
Dimensions without coordinates: x, y
Data variables:
    a        (x, y) int64 48B 1 1 2 2 3 3
    b        (x, y) int64 48B 5 6 5 6 5 6