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BUG: Unable to reproduce the "Calculating Climatology and Departures from Time Series Data" Example #620
Comments
Thank you for your review! We will fix the documentation here (and ensure docs are up-to-date in general). The daily dataset does not have bounds, which can be added on open (or after open with ds_hourly = xcdat.open_dataset(filepath2, chunks={"time": "auto"}, add_bounds=["T"]) xCDAT used to add the bounds automatically, but we decided that a user should make this decision. |
This is now resolved in #623 |
I also checked if this issue was present in the other temporal averaging notebook, but it only uses the monthly file that already has bounds. |
What happened?
I tried to run through and reproduce the "Calculating Climatology and Departures from Time Series Data" example included in the documentation, but ran into a bounds error.
What did you expect to happen? Are there are possible answers you came across?
I expected to be able to full execute the "Calculating Climatology and Departures from Time Series Data" example, specifically the "Daily Climatology" portion.
Minimal Complete Verifiable Example (MVCE)
Relevant log output
Anything else we need to know?
This is related to the JORS review
Environment
INSTALLED VERSIONS
commit: None
python: 3.12.2 | packaged by conda-forge | (main, Feb 16 2024, 20:54:21) [Clang 16.0.6 ]
python-bits: 64
OS: Darwin
OS-release: 23.4.0
machine: arm64
processor: arm
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.3
libnetcdf: 4.9.2
xarray: 2024.2.0
pandas: 2.2.1
numpy: 1.26.4
scipy: 1.12.0
netCDF4: 1.6.5
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.6.3
nc_time_axis: None
iris: None
bottleneck: None
dask: 2024.3.0
distributed: 2024.3.0
matplotlib: 3.8.3
cartopy: None
seaborn: None
numbagg: None
fsspec: 2024.3.0
cupy: None
pint: None
sparse: 0.15.1
flox: None
numpy_groupies: None
setuptools: 69.2.0
pip: 24.0
conda: None
pytest: None
mypy: None
IPython: 8.22.2
sphinx: None
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