issue_comments: 1320993705

Found another example from ICON NWP model. Files open with netCDF4 library but not with xarray.

import pandas as pd
import xarray as xr
import requests
import os

response = requests.get('https://cloudnet.fmi.fi/api/model-files?site=hyytiala&date=2020-08-25&model=icon-iglo-12-23')
data = response.json()
df = pd.DataFrame(data)
file = df.downloadUrl
for i in file:
    wget.download(i, os.getcwd())

ds = xr.open_dataset('20200825_hyytiala_icon-iglo-12-23.nc')

Error:

```

TypeError Traceback (most recent call last) Cell In [109], line 1 ----> 1 ds = xr.open_dataset('20200825_hyytiala_icon-iglo-12-23.nc')

File ~/.virtualenvs/INAR/lib/python3.10/site-packages/xarray/backends/api.py:531, in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, backend_kwargs, kwargs) 519 decoders = _resolve_decoders_kwargs( 520 decode_cf, 521 open_backend_dataset_parameters=backend.open_dataset_parameters, (...) 527 decode_coords=decode_coords, 528 ) 530 overwrite_encoded_chunks = kwargs.pop("overwrite_encoded_chunks", None) --> 531 backend_ds = backend.open_dataset( 532 filename_or_obj, 533 drop_variables=drop_variables, 534 decoders, 535 kwargs, 536 ) 537 ds = _dataset_from_backend_dataset( 538 backend_ds, 539 filename_or_obj, (...) 547 kwargs, 548 ) 549 return ds

File ~/.virtualenvs/INAR/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:569, in NetCDF4BackendEntrypoint.open_dataset(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, format, clobber, diskless, persist, lock, autoclose) 567 store_entrypoint = StoreBackendEntrypoint() 568 with close_on_error(store): --> 569 ds = store_entrypoint.open_dataset( 570 store, 571 mask_and_scale=mask_and_scale, 572 decode_times=decode_times, 573 concat_characters=concat_characters, 574 decode_coords=decode_coords, 575 drop_variables=drop_variables, 576 use_cftime=use_cftime, 577 decode_timedelta=decode_timedelta, 578 ) 579 return ds

File ~/.virtualenvs/INAR/lib/python3.10/site-packages/xarray/backends/store.py:29, in StoreBackendEntrypoint.open_dataset(self, store, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta) 26 vars, attrs = store.load() 27 encoding = store.get_encoding() ---> 29 vars, attrs, coord_names = conventions.decode_cf_variables( 30 vars, 31 attrs, 32 mask_and_scale=mask_and_scale, 33 decode_times=decode_times, 34 concat_characters=concat_characters, 35 decode_coords=decode_coords, 36 drop_variables=drop_variables, 37 use_cftime=use_cftime, 38 decode_timedelta=decode_timedelta, 39 ) 41 ds = Dataset(vars, attrs=attrs) 42 ds = ds.set_coords(coord_names.intersection(vars))

File ~/.virtualenvs/INAR/lib/python3.10/site-packages/xarray/conventions.py:509, in decode_cf_variables(variables, attributes, concat_characters, mask_and_scale, decode_times, decode_coords, drop_variables, use_cftime, decode_timedelta) 507 # Time bounds coordinates might miss the decoding attributes 508 if decode_times: --> 509 _update_bounds_attributes(variables) 511 new_vars = {} 512 for k, v in variables.items():

File ~/.virtualenvs/INAR/lib/python3.10/site-packages/xarray/conventions.py:410, in _update_bounds_attributes(variables) 408 for v in variables.values(): 409 attrs = v.attrs --> 410 has_date_units = "units" in attrs and "since" in attrs["units"] 411 if has_date_units and "bounds" in attrs: 412 if attrs["bounds"] in variables:

TypeError: argument of type 'numpy.float32' is not iterable ```