issue_comments: 1330031438
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/6854#issuecomment-1330031438 | https://api.github.com/repos/pydata/xarray/issues/6854 | 1330031438 | IC_kwDOAMm_X85PRqtO | 2448579 | 2022-11-29T03:36:13Z | 2022-11-29T03:36:13Z | MEMBER | Hmmm this runs basically instantly on my macbook (netCDF 1.6.0), so I really don't know. Can you try a pure netCDF4 example with no xarray?
INSTALLED VERSIONS
------------------
commit: None
python: 3.8.13 | packaged by conda-forge | (default, Mar 25 2022, 06:05:47)
[Clang 12.0.1 ]
python-bits: 64
OS: Darwin
OS-release: 21.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.8.1
xarray: 2022.10.1.dev16+g9b22610bc
pandas: 1.5.1
numpy: 1.23.4
scipy: 1.9.3
netCDF4: 1.6.0
pydap: installed
h5netcdf: 1.0.2
h5py: 3.7.0
Nio: None
zarr: 2.13.3
cftime: 1.6.2
|
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