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- xr.open_dataset(url) gives NetCDF4 (lru_cache.py) error "oc_open: Could not read url" · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1180507258 | https://github.com/pydata/xarray/issues/6766#issuecomment-1180507258 | https://api.github.com/repos/pydata/xarray/issues/6766 | IC_kwDOAMm_X85GXRx6 | ghost 10137 | 2022-07-11T14:49:09Z | 2022-07-11T14:49:09Z | NONE | okay thank you, started issue at: https://github.com/Unidata/netcdf-c/issues/2459 |
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xr.open_dataset(url) gives NetCDF4 (lru_cache.py) error "oc_open: Could not read url" 1299316581 | |
1180470141 | https://github.com/pydata/xarray/issues/6766#issuecomment-1180470141 | https://api.github.com/repos/pydata/xarray/issues/6766 | IC_kwDOAMm_X85GXIt9 | ghost 10137 | 2022-07-11T14:18:54Z | 2022-07-11T14:18:54Z | NONE | Or maybe I should add to this issue https://github.com/Unidata/netcdf4-python/issues/812 rather than starting a new one? Guidance welcome thanks. |
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xr.open_dataset(url) gives NetCDF4 (lru_cache.py) error "oc_open: Could not read url" 1299316581 | |
1180462733 | https://github.com/pydata/xarray/issues/6766#issuecomment-1180462733 | https://api.github.com/repos/pydata/xarray/issues/6766 | IC_kwDOAMm_X85GXG6N | ghost 10137 | 2022-07-11T14:12:54Z | 2022-07-11T14:12:54Z | NONE | Thanks for these suggestions, very helpful. See below, for details, but as far as I can tell it looks like: * my conda env ("EQ") has the same curl, libcurl, ca-certificates, and certifi as your system. * the ncdump commands gives same error (as netcdf4 and xarray). I should post an issue at netcdf4, correct? ``` (EQ) PS C:\Users\Codiga_D> conda list curl packages in environment at C:\Users\Codiga_D\AppData\Local\Continuum\miniconda3\envs\EQ:Name Version Build Channelcurl 7.83.1 h789b8ee_0 conda-forge libcurl 7.83.1 h789b8ee_0 conda-forge (EQ) PS C:\Users\Codiga_D> conda list certifi packages in environment at C:\Users\Codiga_D\AppData\Local\Continuum\miniconda3\envs\EQ:Name Version Build Channelca-certificates 2022.6.15 h5b45459_0 conda-forge certifi 2022.6.15 py37h03978a9_0 conda-forge (EQ) PS C:\Users\Codiga_D> ncdump -h http://psl.noaa.gov/thredds/dodsC/Datasets/NARR/monolevel/uwnd.10m.2000.nc Error:curl error: SSL connect error curl error details: Warning:oc_open: Could not read url C:\Users\Codiga_D\AppData\Local\Continuum\miniconda3\envs\EQ\Library\bin\ncdump.exe: http://psl.noaa.gov/thredds/dodsC/Datasets/NARR/monolevel/uwnd.10m.2000.nc: NetCDF: I/O failure ``` |
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xr.open_dataset(url) gives NetCDF4 (lru_cache.py) error "oc_open: Could not read url" 1299316581 | |
1179305426 | https://github.com/pydata/xarray/issues/6766#issuecomment-1179305426 | https://api.github.com/repos/pydata/xarray/issues/6766 | IC_kwDOAMm_X85GSsXS | ghost 10137 | 2022-07-08T19:36:39Z | 2022-07-08T19:36:39Z | NONE | Thanks for the quick response.
Result from Just a thought: I still wonder if this could be related to certification... which is something that did change on my system recently. I looked for information as to where netCDF4 would check for its certificate chain, but wasn't able to find something useful so far. INSTALLED VERSIONScommit: None python: 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 05:37:49) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel byteorder: little LC_ALL: None LANG: en LOCALE: (None, None) libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 0.20.2 pandas: 1.3.5 numpy: 1.21.6 scipy: 1.7.3 netCDF4: 1.6.0 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.6.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.10 cfgrib: 0.9.10.1 iris: None bottleneck: 1.3.4 dask: None distributed: None matplotlib: 3.5.2 cartopy: 0.20.2 seaborn: 0.11.2 numbagg: None fsspec: None cupy: None pint: None sparse: None setuptools: 59.8.0 pip: 22.1.2 conda: None pytest: None IPython: 7.33.0 sphinx: 4.3.2 |
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xr.open_dataset(url) gives NetCDF4 (lru_cache.py) error "oc_open: Could not read url" 1299316581 |
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