Core Dimensions
Fundamental dimensions over which an operation is defined.
Why core dimensions?
- apply_ufunc is used to create generalized operations on xarray data.
- Core dimensions specifies which are the main dimensions the function will be operating with.
- Core dimensions are moved to last index (transposed).
For example,
da.shape
# (2, 3, 4)
def func(d):
print(d.shape)
return d
xr.apply_ufunc(func, da, input_core_dims=["first_dim"]("first_dim"))
# (3, 4, 2)Todo
Understand the use of core dimensions in case of
vectorise=True