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Add wradlib to ecosystem in docs #5915

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merged 1 commit into from
Oct 29, 2021

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kmuehlbauer
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  • Closes #xxxx
  • Tests added
  • Passes pre-commit run --all-files
  • User visible changes (including notable bug fixes) are documented in whats-new.rst
  • New functions/methods are listed in api.rst

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Unit Test Results

         6 files           6 suites   58m 34s ⏱️
16 281 tests 14 545 ✔️ 1 736 💤 0
90 882 runs  82 702 ✔️ 8 180 💤 0

Results for commit f14425f.

@kmuehlbauer
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A bit of context: wradlib implemented several backends for reading weather radar data into xarray Datasets.

Processing is currently adapted to make use of xarray capabilities.

@mathause
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Thanks @kmuehlbauer !

@mathause mathause merged commit 3bfa8c0 into pydata:main Oct 29, 2021
dcherian added a commit to dcherian/xarray that referenced this pull request Oct 29, 2021
* main:
  Add typing_extensions as a required dependency (pydata#5911)
  pydata#5740 follow up: supress xr.ufunc warnings in tests (pydata#5914)
  Avoid accessing slow .data in unstack (pydata#5906)
  Add wradlib to ecosystem in docs (pydata#5915)
  Use .to_numpy() for quantified facetgrids (pydata#5886)
  [test-upstream] fix pd skipna=None (pydata#5899)
  Add var and std to weighted computations (pydata#5870)
  Check for path-like objects rather than Path type, use os.fspath (pydata#5879)
  Handle single `PathLike` objects in `open_mfdataset()` (pydata#5884)
dcherian added a commit to dcherian/xarray that referenced this pull request Oct 29, 2021
* upstream/main:
  Add typing_extensions as a required dependency (pydata#5911)
  pydata#5740 follow up: supress xr.ufunc warnings in tests (pydata#5914)
  Avoid accessing slow .data in unstack (pydata#5906)
  Add wradlib to ecosystem in docs (pydata#5915)
  Use .to_numpy() for quantified facetgrids (pydata#5886)
  [test-upstream] fix pd skipna=None (pydata#5899)
  Add var and std to weighted computations (pydata#5870)
snowman2 pushed a commit to snowman2/xarray that referenced this pull request Feb 9, 2022
@kmuehlbauer kmuehlbauer deleted the wradlib-xarray-ecosystem branch May 25, 2023 07:24
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2 participants