Hi all,
On behalf of the SciPy development team, I'm pleased to announce the
release of SciPy 1.8.1, which is a bug fix release that restores
Pythran usage on Windows.
Sources and binary wheels can be found at:
https://pypi.org/project/scipy/ and at:
https://github.com/scipy/scipy/releases/tag/v1
Thank you very much for your replies. xarray is perfect though I'm not sure
what overhead I'm paying to get the following:
import numpy as np
import xarray as xr
data = xr.DataArray(np.random.randn(2, 3, 4), dims=("x", "y", "z"))
data.transpose('z', 'y', 'x').shape
data.transpose('y', 'z', 'x').s
