Failing to quantify on real CMIP6 data

[TomNicholas]

The example gist here, run on pangeo's cloud (staging - environment below), is an attempt to use pint-xarray with cf-xarray on some real CMIP6 data.

Unfortunately I think it fails to .quantify the lev dataarray properly:

• You can see the resultant DataArray's data is a numpy array instead of a pint Quantity.
• The units attribute is left on the DataArray, but I thought we were dropping those?
• It also doesn't recognise degrees_east, but I thought cf-xarray was supposed to add that?

I need to look into this more to work out what is actually going wrong...

Environment:

Output of mamba list

packages in environment at /srv/conda/envs/notebook:

Name Version Build Channel

_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
abseil-cpp 20210324.0 h9c3ff4c_0 conda-forge
adal 1.2.7 pyhd8ed1ab_0 conda-forge
adlfs 0.7.3 pyhd8ed1ab_1 conda-forge
affine 2.3.0 py_0 conda-forge
aiobotocore 1.3.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.7.4 py38h497a2fe_0 conda-forge
aioitertools 0.7.1 pyhd8ed1ab_0 conda-forge
alembic 1.5.8 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.3 h516909a_0 conda-forge
amqp 5.0.6 pyhd8ed1ab_0 conda-forge
anyio 2.2.0 py38h578d9bd_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 20.1.0 py38h497a2fe_2 conda-forge
arrow-cpp 3.0.0 py38hd6878d3_11_cpu conda-forge
asciitree 0.3.3 py_2 conda-forge
asn1crypto 1.4.0 pyh9f0ad1d_0 conda-forge
astropy 4.2.1 py38h497a2fe_0 conda-forge
async-timeout 3.0.1 py_1000 conda-forge
async_generator 1.10 py_0 conda-forge
atk-1.0 2.36.0 h3371d22_4 conda-forge
attrs 20.3.0 pyhd3deb0d_0 conda-forge
av 8.0.3 py38hcaf3a0b_0 conda-forge
aws-c-cal 0.4.5 h76129ab_8 conda-forge
aws-c-common 0.5.2 h7f98852_0 conda-forge
aws-c-event-stream 0.2.7 h6bac3ce_1 conda-forge
aws-c-io 0.9.1 ha5b09cb_1 conda-forge
aws-checksums 0.1.11 h99e32c3_3 conda-forge
aws-sdk-cpp 1.8.151 hceb1b1e_1 conda-forge
awscli 1.19.49 py38h578d9bd_0 conda-forge
azure-core 1.12.0 pyhd8ed1ab_0 conda-forge
azure-datalake-store 0.0.51 pyh9f0ad1d_0 conda-forge
azure-identity 1.5.0 pyhd8ed1ab_0 conda-forge
azure-storage-blob 12.8.1 pyhd8ed1ab_0 conda-forge
babel 2.9.0 pyhd3deb0d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
bcrypt 3.2.0 py38h497a2fe_1 conda-forge
beautifulsoup4 4.9.3 pyhb0f4dca_0 conda-forge
billiard 3.6.4.0 py38h497a2fe_0 conda-forge
binutils_impl_linux-64 2.35.1 h193b22a_2 conda-forge
binutils_linux-64 2.35 h67ddf6f_30 conda-forge
bleach 3.3.0 pyh44b312d_0 conda-forge
blinker 1.4 py_1 conda-forge
blosc 1.21.0 h9c3ff4c_0 conda-forge
bokeh 2.3.1 py38h578d9bd_0 conda-forge
boost-cpp 1.74.0 hc6e9bd1_2 conda-forge
boto3 1.17.49 pyhd8ed1ab_0 conda-forge
botocore 1.20.49 pyhd8ed1ab_0 conda-forge
bottleneck 1.3.2 py38h5c078b8_3 conda-forge
branca 0.4.2 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h9c3ff4c_4 conda-forge
brotlipy 0.7.0 py38h497a2fe_1001 conda-forge
brunsli 0.1 h9c3ff4c_0 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.17.1 h7f98852_1 conda-forge
ca-certificates 2020.12.5 ha878542_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cachetools 4.2.1 pyhd8ed1ab_0 conda-forge
cachey 0.2.1 pyh9f0ad1d_0 conda-forge
cairo 1.16.0 h6cf1ce9_1008 conda-forge
cartopy 0.19.0 py38hc9c980b_0 conda-forge
celery 5.0.5 pyhd8ed1ab_0 conda-forge
certifi 2020.12.5 py38h578d9bd_1 conda-forge
certipy 0.1.3 py_0 conda-forge
cf_xarray 0.5.1 pyh44b312d_0 conda-forge
cffi 1.14.5 py38ha65f79e_0 conda-forge
cfgrib 0.9.9.0 pyhd8ed1ab_1 conda-forge
cfitsio 3.470 hb418390_7 conda-forge
cftime 1.4.1 py38h5c078b8_0 conda-forge
cgen 2020.1 py_0 conda-forge
chardet 4.0.0 py38h578d9bd_1 conda-forge
charls 2.2.0 h9c3ff4c_0 conda-forge
ciso 0.1.0 py38h5c078b8_2 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
click-didyoumean 0.0.3 pyh8c360ce_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
click-repl 0.1.6 py_0 conda-forge
cligj 0.7.1 pyhd8ed1ab_0 conda-forge
cloudpickle 1.6.0 py_0 conda-forge
cmip6_preprocessing 0.2.0 pyhd8ed1ab_0 conda-forge
cmocean 2.0 py_3 conda-forge
colorama 0.4.3 py_0 conda-forge
colorcet 2.0.6 pyhd8ed1ab_0 conda-forge
colorspacious 1.1.2 pyh24bf2e0_0 conda-forge
configobj 5.0.6 py_0 conda-forge
croniter 0.3.36 pyhd8ed1ab_0 conda-forge
cryptography 3.4.7 py38ha5dfef3_0 conda-forge
curl 7.76.1 h979ede3_1 conda-forge
cycler 0.10.0 py_2 conda-forge
cytoolz 0.11.0 py38h497a2fe_3 conda-forge
dask 2021.4.1 pyhd8ed1ab_0 conda-forge
dask-core 2021.4.1 pyhd8ed1ab_0 conda-forge
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donfig 0.6.0 pyhd8ed1ab_0 conda-forge
eccodes 2.21.0 ha0e6eb6_0 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
eofs 1.4.0 py_0 conda-forge
erddapy 1.0.0 pyhd8ed1ab_0 conda-forge
esmf 8.1.0 mpi_mpich_h224d73f_100 conda-forge
esmpy 8.1.0 mpi_mpich_py38h7f78e9f_100 conda-forge
expat 2.3.0 h9c3ff4c_0 conda-forge
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font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.13.1 hba837de_1005 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
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freetype 2.10.4 h0708190_1 conda-forge
freexl 1.0.6 h7f98852_0 conda-forge
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fsspec 2021.4.0 pyhd8ed1ab_0 conda-forge
future 0.18.2 py38h578d9bd_3 conda-forge
gcc_impl_linux-64 9.3.0 h70c0ae5_19 conda-forge
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gh 1.9.0 ha8f183a_0 conda-forge
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pip 20.3.4 pyhd8ed1ab_0 conda-forge
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[keewis]

if I understand correctly, lev is a dimension coordinate? To support those, pint-xarray will convert the string to a unit object and save that as a attribute (.pint.sel and other methods that use indexes use that to work around the no-units-on-indexes restriction).

I'm not sure why degrees_east does not work, could you check whether the unit registry at pint_xarray.unit_registry supports it? Otherwise you might have to update cf-xarray, you need cf-xarray>=0.6.0.

[dcherian]

I think you have to import cf_xarray.units

[keewis]

it's both, actually, the environment lists cf-xarray=0.5.1 and the import is import cf_xarray not import cf_xarray.units

[TomNicholas]

Thanks guys, those seem to have fixed my issues!