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2 rows where type = "issue" and user = 11022336 sorted by updated_at descending
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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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860180906 | MDU6SXNzdWU4NjAxODA5MDY= | 5175 | Feature to retrieve the underlying store | skorper 11022336 | closed | 0 | 6 | 2021-04-16T21:23:55Z | 2023-09-16T10:19:19Z | 2023-09-16T10:19:18Z | NONE | Is your feature request related to a problem? Please describe. It would be useful if I could retrieve the underlying store from an xarray Dataset object. There was previously a workaround that allowed this, but that was recently removed.
Describe the solution you'd like Ideally I'd like the API to be extended so the underlying store can be retrieved. Something like: ```python
Describe alternatives you've considered I'd be fine using the old workaround if that was still an option. If anyone knows of a different workaround I would be fine with that, but a better long-term solution would be an actual user-facing function for accessing the store. I might be using the 'store' terminology incorrectly, but hopefully my request is clear with the above example. |
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completed | xarray 13221727 | issue | ||||||
1421718311 | I_kwDOAMm_X85UvbMn | 7210 | Unable to convert times to datetime when first and last value are masked | skorper 11022336 | open | 0 | 2 | 2022-10-25T01:57:04Z | 2022-10-27T15:30:57Z | NONE | What happened?In the following conditions, I am unable to open a NetCDF file in xarray with
The following changes to the NetCDF file allows me to open the file in xarray:
OR
What did you expect to happen?I should be able to open the NetCDF file with Minimal Complete Verifiable Example```Python import xarray as xr import numpy as np fill_val = -99999.0 time_vals = np.random.rand(10) time_vals[0] = fill_val time_vals[-1] = fill_val data_vars = { 'foo': (['x'], np.random.rand(10)), 'time': ( ['x'], time_vals, { 'units': 'seconds since 2000-1-1 0:0:0 0', '_FillValue': fill_val, 'standard_name': 'time', 'calendar': 'standard' } ), } ds = xr.Dataset( data_vars=data_vars, coords={'x': (['x'], np.arange(10))} ) nc_out_location = '/path/to/example.nc' ds.to_netcdf(nc_out_location) ds = xr.open_dataset(nc_out_location) # This line results in an error ``` MVCE confirmation
Relevant log output
Anything else we need to know?Looking at the code, it seems like this is happening because Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.1 (default, Jan 8 2021, 17:17:17)
[Clang 12.0.0 (clang-1200.0.32.28)]
python-bits: 64
OS: Darwin
OS-release: 21.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: None
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.0
libnetcdf: 4.7.4
xarray: 2022.10.0
pandas: 1.4.1
numpy: 1.22.3
scipy: 1.8.0
netCDF4: 1.5.7
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: None
iris: None
bottleneck: None
dask: 2022.02.0
distributed: 2022.02.0
matplotlib: 3.5.1
cartopy: None
seaborn: None
numbagg: None
fsspec: 2022.01.0
cupy: None
pint: None
sparse: None
flox: None
numpy_groupies: None
setuptools: 60.10.0
pip: 21.1.1
conda: None
pytest: None
IPython: None
sphinx: None
|
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xarray 13221727 | issue |
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