Closed andrewfagerheim closed 11 months ago
hi @andrewfagerheim This is indeed not satisfactory but not due to argopy machinery. This happens because of the erddap server configuration. I communicated the issue to the server maintainers and will keep you posted
In the mean time, you could update to the last release candidate pip install argopy==0.1.14rc2
Closing this issue because no solution is possible on argopy side
I'm selectively having trouble loading data from erddap, where about half the time I'm able to run the code below without a problem, but other times the error below is returned. This has happened when choosing the same region, running the code in the same notebook, within the same hour even. Do you have thoughts on how to more reliably load data and avoid the following error?
MCVE Code Sample
Error Returned
Versions
Output of `argopy.show_versions()`
SYSTEM ------ commit: None python: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:56:21) [GCC 10.3.0] python-bits: 64 OS: Linux OS-release: 3.10.0-1160.49.1.el7.centos.plus.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 INSTALLED VERSIONS: MIN ----------------------- aiohttp : 3.8.3 argopy : 0.1.12 erddapy : 1.2.1 fsspec : 2022.5.0 netCDF4 : 1.5.4 packaging : 21.3 scipy : 1.9.3 sklearn : 1.1.3 toolz : 0.11.2 xarray : 2022.11.0 INSTALLED VERSIONS: EXT.EXTRA ----------------------------- dask : 2022.05.2 distributed : 2022.5.2 gsw : 3.4.0 pyarrow : - tqdm : 4.64.1 INSTALLED VERSIONS: EXT.PLOTTERS -------------------------------- IPython : 8.4.0 cartopy : 0.20.2 ipykernel : 5.5.5 ipywidgets : 7.7.2 matplotlib : 3.4.3 seaborn : 0.12.1 INSTALLED VERSIONS: DEV ----------------------- bottleneck : - cfgrib : - cftime : 1.6.2 conda : - nc_time_axis: - numpy : 1.23.4 pandas : 1.5.1 pip : 22.1.2 pytest : - setuptools : 65.5.1 sphinx : - zarr : -