xr-scipy
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fujiisoup
scipy for xarray eco-system
Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4. Release notes Sourced from jinja2's releases. 3.1.4 This is the Jinja 3.1.4 security release, which fixes security issues and bugs but does not otherwise...
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Bumps [idna](https://github.com/kjd/idna) from 3.6 to 3.7. Release notes Sourced from idna's releases. v3.7 What's Changed Fix issue where specially crafted inputs to encode() could take exceptionally long amount of time...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.2.0 to 10.3.0. Release notes Sourced from pillow's releases. 10.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/10.3.0.html Changes CVE-2024-28219: Use strncpy to avoid buffer overflow #7928 [@hugovk] Use functools.lru_cache for hopper() #7912 [@hugovk]...
Bumps [black](https://github.com/psf/black) from 23.3.0 to 24.3.0. Release notes Sourced from black's releases. 24.3.0 Highlights This release is a milestone: it fixes Black's first CVE security vulnerability. If you run Black...
Hello, I'm working with dask, and I stumbled across the need to specify the `dask="parallelized"` argument to `xr.apply_ufunc` in `frequency_filter`. Currently, there is no way to do that. One way...
xrscipy used to work just fine with older xarray versions, so unless you really need `xrscipy>=2023`, please don't introduce such a strict dependency which prevents simple xrscipy installation in older...
When using `xrscipy` is using default calling of `apply_ufunc` with `dask="forbidden"`. This disallows using the package with `dask` arrays what is needed for example when using `preprocess` option in `open_mfdataset`....
From #4 : > @fujiisoup, would you be up for transferring the project to the [xarray-contrib](https://github.com/xarray-contrib) organization? I am thinking that It would help increase the overall visibility of the...
Continuation of #4 Projects to consider: - [xarray-dsp](https://github.com/smartass101/xarray-dsp) > There are also a few wrappers for wavelets from pycwt, but I guess those wouldn't really fit into xr-scipy since pycwt...
### from numpy [ ] fft [ ] histogram ### from scipy [ ] interpolation [ ] fftpack
