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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 1974350560 | I_kwDOAMm_X851rjLg | 8402 | `where` dtype upcast with numpy 2 | djhoese 1828519 | open | 0 | 10 | 2023-11-02T14:12:49Z | 2024-04-15T19:18:49Z | CONTRIBUTOR | What happened?I'm testing my code with numpy 2.0 and current Doing The main problem seems to come down to: As this converts my scalar input ```python import numpy as np a = np.zeros((2, 2), dtype=np.uint16) what I'm intending to do with my xarray
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xarray 13221727 | issue | ||||||||
| 1085992113 | I_kwDOAMm_X85Auuyx | 6092 | DeprecationWarning regarding use of distutils Version classes | djhoese 1828519 | closed | 0 | 10 | 2021-12-21T16:11:08Z | 2023-09-05T06:39:39Z | 2021-12-24T14:50:48Z | CONTRIBUTOR | What happened: While working on some tests that catch and check for warnings in my library I found that xarray with new versions of Python (I think this is the trigger) causes a ton of DeprecationWarnings on import:
What you expected to happen: No warnings. Minimal Complete Verifiable Example: ```python import warnings warnings.simplefilter("always") import xarray as xr ``` Results in:
Anything else we need to know?: Environment: Output of <tt>xr.show_versions()</tt>``` /home/davidh/miniconda3/envs/satpy_py39/lib/python3.9/site-packages/_distutils_hack/__init__.py:35: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.") /home/davidh/miniconda3/envs/satpy_py39/lib/python3.9/asyncio/base_events.py:681: ResourceWarning: unclosed event loop <_UnixSelectorEventLoop running=False closed=False debug=False> _warn(f"unclosed event loop {self!r}", ResourceWarning, source=self) ResourceWarning: Enable tracemalloc to get the object allocation traceback INSTALLED VERSIONS ------------------ commit: None python: 3.9.9 | packaged by conda-forge | (main, Dec 20 2021, 02:41:03) [GCC 9.4.0] python-bits: 64 OS: Linux OS-release: 5.15.5-76051505-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 0.20.2 pandas: 1.3.5 numpy: 1.20.3 scipy: 1.7.3 netCDF4: 1.5.8 pydap: None h5netcdf: 0.12.0 h5py: 3.6.0 Nio: None zarr: 2.10.3 cftime: 1.5.1.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.10 cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.12.0 distributed: 2021.12.0 matplotlib: 3.5.1 cartopy: 0.20.1 seaborn: None numbagg: None fsspec: 2021.11.1 cupy: None pint: None sparse: None setuptools: 60.0.3 pip: 21.3.1 conda: None pytest: 6.2.5 IPython: 7.30.1 sphinx: 4.3.2 ``` |
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completed | xarray 13221727 | issue | ||||||
| 1750685808 | PR_kwDOAMm_X85SqoXL | 7905 | Add '.hdf' extension to 'netcdf4' backend | djhoese 1828519 | open | 0 | 10 | 2023-06-10T00:45:15Z | 2023-06-14T15:25:08Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/7905 | I'm helping @joleenf debug an issue where some old code that uses However, with What do people think? I didn't want to put any more work into this until others weighed in.
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xarray 13221727 | pull |
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