metpy interpolate not loading due to pooch

[story645]

from metpy.interpolate import interpolate_to_grid loads properly in python3.9 in a clean conda environment where it is the only thing installed, but in my has all the libraries environment in jupyter notebook I get the following error message when trying to import the same function

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-16-13f730258fbb> in <module>
----> 1 pooch.os_cache('metpy')

~\Anaconda3\envs\prop\lib\site-packages\pooch\utils.py in os_cache(project)
     97     >>> import os
     98     >>> os.remove(fname)
---> 99 
    100     """
    101     if alg not in hashlib.algorithms_available:

~\Anaconda3\envs\prop\lib\site-packages\appdirs.py in user_cache_dir(appname, appauthor, version, opinion)
    291         if appauthor is None:
    292             appauthor = appname
--> 293         path = os.path.normpath(_get_win_folder("CSIDL_LOCAL_APPDATA"))
    294         if appname:
    295             if appauthor is not False:

~\Anaconda3\envs\prop\lib\site-packages\appdirs.py in _get_win_folder_with_pywin32(csidl_name)
    478 
    479 def _get_win_folder_with_pywin32(csidl_name):
--> 480     from win32com.shell import shellcon, shell
    481     dir = shell.SHGetFolderPath(0, getattr(shellcon, csidl_name), 0, 0)
    482     # Try to make this a unicode path because SHGetFolderPath does

ImportError: DLL load failed while importing shell: The specified procedure could not be found.

both environments have

• pooch v1.6.0
• appdirs 1.4.4
• metpy 1.3.0

The following is the output of a conda list on the environment

Details

Name Version Build Channel
affine 2.3.0 pyhd3eb1b0_0
aiobotocore 2.3.2 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.1 py39h2bbff1b_1
aioitertools 0.7.1 pyhd3eb1b0_0
aiosignal 1.2.0 pyhd3eb1b0_0
anyio 3.5.0 py39haa95532_0
appdirs 1.4.4 pyhd3eb1b0_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py39h2bbff1b_0
asciitree 0.3.3 py_2
asttokens 2.0.5 pyhd3eb1b0_0
async-timeout 4.0.1 pyhd3eb1b0_0
attrs 21.4.0 pyhd3eb1b0_0
babel 2.9.1 pyhd3eb1b0_0
backcall 0.2.0 pyhd3eb1b0_0
beautifulsoup4 4.11.1 py39haa95532_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
botocore 1.24.21 pyhd8ed1ab_1 conda-forge
bottleneck 1.3.4 py39h080aedc_0
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py39h2bbff1b_1003
bzip2 1.0.8 he774522_0
ca-certificates 2022.4.26 haa95532_0
cartopy 0.18.0 py39h80a4efb_1
certifi 2022.5.18.1 py39haa95532_0
cffi 1.15.0 py39h2bbff1b_1
cfitsio 3.470 he774522_6
cftime 1.5.1.1 py39h080aedc_0
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 7.1.2 pyhd3eb1b0_0
click-plugins 1.1.1 pyhd3eb1b0_0
cligj 0.7.2 py39haa95532_0
cmocean 2.0 py_3 conda-forge
colorama 0.4.4 pyhd3eb1b0_0
colorspacious 1.1.2 pyh24bf2e0_0 conda-forge
condacolab 0.1.3 pypi_0 pypi
cryptography 37.0.1 py39h21b164f_0
curl 7.82.0 h2bbff1b_0
cycler 0.11.0 pyhd3eb1b0_0
daal4py 2021.5.0 py39h8cb3d55_0
dal 2021.5.0 haa95532_796
debugpy 1.5.1 py39hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
deprecated 1.2.12 pyhd3eb1b0_0
descartes 1.1.0 pyhd3eb1b0_4
dill 0.3.5.1 pypi_0 pypi
entrypoints 0.4 py39haa95532_0
executing 0.8.3 pyhd3eb1b0_0
expat 2.4.4 h6c2663c_0
fasteners 0.16.3 pyhd3eb1b0_0
fiona 1.8.13.post1 py39h758c064_0
flexitext 0.2.0 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
freexl 1.0.6 h2bbff1b_0
frozenlist 1.2.0 py39h2bbff1b_0
fsspec 2022.5.0 pyhd8ed1ab_0 conda-forge
gdal 3.0.2 py39hb978731_2
geopandas 0.9.0 py_1
geopandas-base 0.9.0 py_1
geos 3.8.0 h33f27b4_0
geotiff 1.7.0 h4545760_0
hdf4 4.2.13 h712560f_2
hdf5 1.10.6 h7ebc959_0
highlight-text 0.2 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pyhd3eb1b0_0
importlib_resources 5.2.0 pyhd3eb1b0_1
inspyred 1.0.1 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556
ipykernel 6.9.1 py39haa95532_0
ipympl 0.9.1 pypi_0 pypi
ipython 8.3.0 py39haa95532_0
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.7.0 pypi_0 pypi
jedi 0.18.1 py39haa95532_1
jinja2 3.0.3 pyhd3eb1b0_0
jmespath 0.10.0 pyhd3eb1b0_0
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
json5 0.9.6 pyhd3eb1b0_0
jsonschema 4.4.0 py39haa95532_0
jupyter_client 7.2.2 py39haa95532_0
jupyter_core 4.10.0 py39haa95532_0
jupyter_server 1.13.5 pyhd3eb1b0_0
jupyterlab 3.3.2 pyhd3eb1b0_0
jupyterlab-widgets 1.1.0 pypi_0 pypi
jupyterlab_pygments 0.1.2 py_0
jupyterlab_server 2.12.0 py39haa95532_0
kealib 1.4.14 hde4a422_1
kiwisolver 1.4.2 py39hd77b12b_0
krb5 1.19.2 h5b6d351_0
libcurl 7.82.0 h86230a5_0
libgdal 3.0.2 h3d7c30d_2
libiconv 1.16 h2bbff1b_2
libnetcdf 4.8.1 h6685c40_1
libpng 1.6.37 h2a8f88b_0
libpq 12.9 hb652d5d_1
libspatialindex 1.9.3 h6c2663c_0
libspatialite 4.3.0a h14feca5_20
libssh2 1.10.0 hcd4344a_0
libtiff 4.2.0 he0120a3_1
libwebp 1.2.2 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libzip 1.8.0 h49b8836_0
lz4-c 1.9.3 h2bbff1b_1
m2w64-expat 2.1.1 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gettext 0.19.7 2
m2w64-gmp 6.1.0 2
m2w64-libiconv 1.14 6
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-xz 5.2.2 2
mapclassify 2.4.3 pyhd3eb1b0_0
markupsafe 2.1.1 py39h2bbff1b_0
matplotlib 3.5.1 py39haa95532_1
matplotlib-base 3.5.1 py39hd77b12b_1
matplotlib-inline 0.1.2 pyhd3eb1b0_2
metpy 1.3.0 pyhd8ed1ab_0 conda-forge
mistune 0.8.4 py39h2bbff1b_1000
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py39h2bbff1b_0
mkl_fft 1.3.1 py39h277e83a_0
mkl_random 1.2.2 py39hf11a4ad_0
mplcursors 0.5.1 pypi_0 pypi
msgpack-python 1.0.3 py39h59b6b97_0
msys2-conda-epoch 20160418 1
multidict 5.1.0 py39h2bbff1b_2
munch 2.5.0 pyhd3eb1b0_0
munkres 1.1.4 py_0
nbclassic 0.3.5 pyhd3eb1b0_0
nbclient 0.5.13 py39haa95532_0
nbconvert 6.4.4 py39haa95532_0
nbformat 5.3.0 py39haa95532_0
nest-asyncio 1.5.5 py39haa95532_0
netcdf4 1.5.7 py39h3de5c98_1
networkx 2.7.1 pyhd3eb1b0_0
notebook 6.4.11 py39haa95532_0
numcodecs 0.8.0 py39hd77b12b_0
numexpr 2.8.1 py39hb80d3ca_0
numpy 1.22.3 py39h7a0a035_0
numpy-base 1.22.3 py39hca35cd5_0
openjpeg 2.4.0 h4fc8c34_0
openssl 1.1.1o h2bbff1b_0
packaging 21.3 pyhd3eb1b0_0
palettable 3.3.0 pyhd3eb1b0_0
pandas 1.4.2 py39hd77b12b_0
pandocfilters 1.5.0 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.0.1 py39hdc2b20a_0
pint 0.19.2 pyhd8ed1ab_0 conda-forge
pip 21.2.4 py39haa95532_0
pooch 1.4.0 pyhd3eb1b0_0
proj 6.2.1 h3758d61_0
prometheus_client 0.13.1 pyhd3eb1b0_0
prompt-toolkit 3.0.20 pyhd3eb1b0_0
pure_eval 0.2.2 pyhd3eb1b0_0
pycparser 2.21 pyhd3eb1b0_0
pygments 2.11.2 pyhd3eb1b0_0
pykriging 0.2.0 pypi_0 pypi
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.4 pyhd3eb1b0_0
pyproj 2.6.1.post1 py39h593ac45_1
pyqt 5.9.2 py39hd77b12b_6
pyrsistent 0.18.0 py39h196d8e1_0
pysal 2.1.0 pyhd3eb1b0_0
pyshp 2.1.3 pyhd3eb1b0_0
pysocks 1.7.1 py39haa95532_0
python 3.9.12 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-fastjsonschema 2.15.1 pyhd3eb1b0_0
pytz 2021.3 pyhd3eb1b0_0
pywin32 302 py39h2bbff1b_2
pywinpty 2.0.2 py39h5da7b33_0
pyzmq 22.3.0 py39hd77b12b_2
qt 5.9.7 vc14h73c81de_0
rasterio 1.2.10 py39h17c1fa0_0
requests 2.27.1 pyhd3eb1b0_0
rioxarray 0.11.1 pyhd8ed1ab_0 conda-forge
rtree 0.9.7 py39h2eaa2aa_1
s3fs 2022.5.0 pyhd8ed1ab_0 conda-forge
salem 0.3.7 pypi_0 pypi
scikit-learn 1.0.2 py39hf11a4ad_1
scikit-learn-intelex 2021.5.0 py39haa95532_0
scipy 1.7.3 py39h0a974cb_0
seaborn 0.11.2 pyhd3eb1b0_0
send2trash 1.8.0 pyhd3eb1b0_1
setuptools 61.2.0 py39haa95532_0
shapely 1.7.1 py39h06580b3_0
sip 4.19.13 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sniffio 1.2.0 py39haa95532_1
snuggs 1.4.7 pyhd3eb1b0_0
soupsieve 2.3.1 pyhd3eb1b0_0
sqlite 3.38.3 h2bbff1b_0
stack_data 0.2.0 pyhd3eb1b0_0
tbb 2021.5.0 h59b6b97_0
terminado 0.13.1 py39haa95532_0
testpath 0.5.0 pyhd3eb1b0_0
threadpoolctl 2.2.0 pyh0d69192_0
tiledb 2.3.3 hc23ccdf_1
tk 8.6.12 h2bbff1b_0
tornado 6.1 py39h2bbff1b_0
tqdm 4.64.0 py39haa95532_0
traitlets 5.1.1 pyhd3eb1b0_0
typing-extensions 4.1.1 hd3eb1b0_0
typing_extensions 4.1.1 pyh06a4308_0
tzdata 2022a hda174b7_0
urllib3 1.26.9 py39haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py39haa95532_1
websocket-client 0.58.0 py39haa95532_4
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.6.0 pypi_0 pypi
win_inet_pton 1.1.0 py39haa95532_0
wincertstore 0.2 py39haa95532_2
winpty 0.4.3 4
wrapt 1.13.3 py39h2bbff1b_2
xarray 0.20.1 pyhd3eb1b0_1
xerces-c 3.2.3 ha925a31_0
xz 5.2.5 h8cc25b3_1
yarl 1.6.3 py39h2bbff1b_0
zarr 2.11.3 pyhd8ed1ab_0 conda-forge
zipp 3.8.0 py39haa95532_0
zlib 1.2.12 h8cc25b3_2
zmq 0.0.0 pypi_0 pypi
zstd 1.5.2 h19a0ad4_0

[story645]

Fixed this by downgrading pywin32 to version 228

[dcamron]

Huh, thanks for this update! My mind definitely didn't go straight to that as a solution.

[story645]

Yeah I found this conda/conda#11503

It could be metpy works w/ something newer, but this is the version that makes metpy & Jupyter happy

[dopplershift]

Well, at it's heart it's not a MetPy problem, it's an appdirs ➡️ pooch ➡️ metpy problem. Good to be aware of it, but nothing we can do about it here, other than consider making pooch lazy load.