home / github / issues

Menu
  • Search all tables
  • GraphQL API

issues: 1315607023

This data as json

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
1315607023 I_kwDOAMm_X85OapHv 6818 xarray 2022.6.0 doesn't work well with numpy 1.20 3974108 closed 0     8 2022-07-23T08:54:29Z 2022-09-22T21:09:15Z 2022-07-30T21:11:09Z NONE      

What happened?

Fail to import xarray when xarray 2022.6.0 and numpy 1.20 are installed. It seems xarray 2022.6.0 is not compatible with numpy 1.20. I also tried numpy 1.19 and 1.21, they all work well with xarray 2022.6.0.

What did you expect to happen?

xarray 2022.6.0 should work well with numpy 1.20.

Minimal Complete Verifiable Example

```Python $ conda create --name xarraytest xarray=2022.6.0 numpy=1.20 $ conda activate xarraytest $ conda list

Name Version Build Channel

_libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge bzip2 1.0.8 h7f98852_4 conda-forge ca-certificates 2022.6.15 ha878542_0 conda-forge importlib-metadata 4.11.4 py39hf3d152e_0 conda-forge importlib_metadata 4.11.4 hd8ed1ab_0 conda-forge ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge libblas 3.9.0 15_linux64_openblas conda-forge libcblas 3.9.0 15_linux64_openblas conda-forge libffi 3.4.2 h7f98852_5 conda-forge libgcc-ng 12.1.0 h8d9b700_16 conda-forge libgfortran-ng 12.1.0 h69a702a_16 conda-forge libgfortran5 12.1.0 hdcd56e2_16 conda-forge libgomp 12.1.0 h8d9b700_16 conda-forge liblapack 3.9.0 15_linux64_openblas conda-forge libnsl 2.0.0 h7f98852_0 conda-forge libopenblas 0.3.20 pthreads_h78a6416_0 conda-forge libstdcxx-ng 12.1.0 ha89aaad_16 conda-forge libuuid 2.32.1 h7f98852_1000 conda-forge libzlib 1.2.12 h166bdaf_2 conda-forge ncurses 6.3 h27087fc_1 conda-forge numpy 1.20.3 py39hd249d9e_2 conda-forge openssl 3.0.5 h166bdaf_0 conda-forge packaging 21.3 pyhd8ed1ab_0 conda-forge pandas 1.4.3 py39h1832856_0 conda-forge pip 22.2 pyhd8ed1ab_0 conda-forge pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge python 3.9.13 h2660328_0_cpython conda-forge python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge python_abi 3.9 2_cp39 conda-forge pytz 2022.1 pyhd8ed1ab_0 conda-forge readline 8.1.2 h0f457ee_0 conda-forge setuptools 63.2.0 py39hf3d152e_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge sqlite 3.39.2 h4ff8645_0 conda-forge tk 8.6.12 h27826a3_0 conda-forge typing_extensions 4.3.0 pyha770c72_0 conda-forge tzdata 2022a h191b570_0 conda-forge wheel 0.37.1 pyhd8ed1ab_0 conda-forge xarray 2022.6.0 pyhd8ed1ab_0 conda-forge xz 5.2.5 h516909a_1 conda-forge zipp 3.8.0 pyhd8ed1ab_0 conda-forge zlib 1.2.12 h166bdaf_2 conda-forge

$ python Python 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:58:50) [GCC 10.3.0] on linux Type "help", "copyright", "credits" or "license" for more information.

import xarray as xr Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/user/miniconda/envs/xarraytest/lib/python3.9/site-packages/xarray/init.py", line 1, in <module> from . import testing, tutorial File "/home/user/miniconda/envs/xarraytest/lib/python3.9/site-packages/xarray/testing.py", line 9, in <module> from xarray.core import duck_array_ops, formatting, utils File "/home/user/miniconda/envs/xarraytest/lib/python3.9/site-packages/xarray/core/duck_array_ops.py", line 26, in <module> from . import dask_array_compat, dask_array_ops, dtypes, npcompat, nputils File "/home/user/miniconda/envs/xarraytest/lib/python3.9/site-packages/xarray/core/npcompat.py", line 72, in <module> _SupportsDType[np.dtype], File "/home/user/miniconda/envs/xarraytest/lib/python3.9/typing.py", line 277, in inner return func(args, *kwds) File "/home/user/miniconda/envs/xarraytest/lib/python3.9/typing.py", line 1004, in class_getitem _check_generic(cls, params, len(cls.parameters)) File "/home/user/miniconda/envs/xarraytest/lib/python3.9/site-packages/typing_extensions.py", line 92, in _check_generic raise TypeError(f"{cls} is not a generic class") TypeError: <class 'numpy.typing._dtype_like._SupportsDType'> is not a generic class

```

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [X] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

{
    "url": "https://api.github.com/repos/pydata/xarray/issues/6818/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  completed 13221727 issue

Links from other tables

  • 3 rows from issues_id in issues_labels
  • 8 rows from issue in issue_comments
Powered by Datasette · Queries took 79.444ms · About: xarray-datasette