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[Bug]: Can't import xcdat after updating from 0.3.0 to 0.5.0 (module 'xarray.core' has no attribute 'resample') #543
Comments
I have just found #341 ! Maybe #341 should not have been closed before exploring A few things we might want to consider on our end @tomvothecoder mentioned at the end? Because we are just 1 year after the issue was reported and the issue is still occurring
I have updated
|
Thanks @jypeter! I accidentally closed the issue by linking it to a PR merge and forgot to go back and open an issue to constrain I'll patch the v0.5.0 release to ensure this doesn't happen. |
Actually the user who opened the issue closed the issue and I forgot to go back to it :( |
I opened up an issue in the cf-xarray repo so they can possibly address it on their end. In an hour or so, there will be a new version of v0.5.0 on
I also suggest you update your environments to at least |
What happened?
I have updated xcdat using
mamba
the following wayAfterwards, I can't import
xcdat
anymoreWhat did you expect to happen? Are there are possible answers you came across?
I expected xcdat to keep on working after the update :-)
Minimal Complete Verifiable Example (MVCE)
No response
Relevant log output
No response
Anything else we need to know?
What is the suggested way to update xcdat?
I have not found anything about that in the documentation
Environment
INSTALLED VERSIONS
commit: None
python: 3.8.8 | packaged by conda-forge | (default, Feb 20 2021, 16:22:27)
[GCC 9.3.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1160.83.1.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: 1.10.6
libnetcdf: 4.7.4
xarray: 2022.9.0
pandas: 1.2.3
numpy: 1.21.4
scipy: 1.7.0
netCDF4: 1.5.6
pydap: None
h5netcdf: 0.13.1
h5py: 2.10.0
Nio: None
zarr: 2.11.0
cftime: 1.6.2
nc_time_axis: 1.4.1
PseudoNetCDF: None
rasterio: None
cfgrib: 0.9.9.0
iris: 3.1.0
bottleneck: 1.3.7
dask: 2021.02.0
distributed: 2021.02.0
matplotlib: 3.3.4
cartopy: 0.18.0
seaborn: 0.11.1
numbagg: None
fsspec: 0.8.7
cupy: None
pint: 0.20.1
sparse: 0.13.0
flox: 0.7.2
numpy_groupies: 0.9.22
setuptools: 49.6.0.post20210108
pip: 22.0.4
conda: None
pytest: 6.2.4
IPython: 7.21.0
sphinx: 3.5.2
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