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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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1841227199 | I_kwDOAMm_X85tvuW_ | 8055 | Documentation of `Dataset.count()` is ambiguous | Articoking 90768774 | closed | 0 | 3 | 2023-08-08T12:35:59Z | 2023-08-09T13:50:56Z | 2023-08-09T13:50:56Z | CONTRIBUTOR | What is your issue?Hello everyone! I've noticed that the documentation for The given example does not contain a 0 value that would clarify this, and what is worse is that the "see also" section points to I would take a shot at writing a clearer docstring but I'm not sure how to do that using the |
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completed | xarray 13221727 | issue | ||||||
1681353195 | I_kwDOAMm_X85kN2nr | 7782 | xr.open_dataset() reading ubyte variables as float32 from DAP server | Articoking 90768774 | open | 0 | 12 | 2023-04-24T14:04:13Z | 2023-04-27T13:33:50Z | CONTRIBUTOR | What happened?Trying to open and save a netcdf file through CEDA's DAP server (http://dap.ceda.ac.uk/thredds/dodsC/neodc/esacci/snow/data/scfv/MODIS/v2.0/2010/01/20100101-ESACCI-L3C_SNOW-SCFV-MODIS_TERRA-fv2.0.nc) whose variables
And its DAS has attribute
Using What did you expect to happen?The returned Dataset should have Minimal Complete Verifiable Example
MVCE confirmation
Relevant log output
Anything else we need to know?No response Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.9.15 (main, Nov 24 2022, 14:31:59)
[GCC 11.2.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.80.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.8.1
xarray: 2022.11.0
pandas: 1.5.2
numpy: 1.23.5
scipy: 1.9.3
netCDF4: 1.6.2
pydap: None
h5netcdf: None
h5py: 3.7.0
Nio: None
zarr: None
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.3.3
cfgrib: 0.9.10.3
iris: None
bottleneck: None
dask: 2022.11.1
distributed: None
matplotlib: 3.5.2
cartopy: 0.21.0
seaborn: 0.12.1
numbagg: None
fsspec: 2022.11.0
cupy: None
pint: 0.20.1
sparse: 0.13.0
flox: None
numpy_groupies: None
setuptools: 65.5.0
pip: 22.2.2
conda: 22.9.0
pytest: 7.2.0
IPython: 7.33.0
sphinx: 5.3.0
|
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reopened | xarray 13221727 | issue |
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