ds = neuralgcm.demo.load_data(model.data_coords)出现错误

[2095099596]

Hello, I am a beginner. When running the code ds = neuralgcm.demo.load_data(model.data_coords) from the NeuralGCM documentation here, I keep encountering an OverflowError:
OverflowError Traceback (most recent call last)
File conversion.pyx:228, in pandas._libs.tslibs.conversion.cast_from_unit()

OverflowError: Python int too large to convert to C long

The above exception was the direct cause of the following exception:

OutOfBoundsDatetime Traceback (most recent call last)
File timedeltas.pyx:377, in pandas._libs.tslibs.timedeltas._maybe_cast_from_unit()

File conversion.pyx:230, in pandas._libs.tslibs.conversion.cast_from_unit()

OutOfBoundsDatetime: cannot convert input 24 with the unit 'h'

The above exception was the direct cause of the following exception:

OutOfBoundsTimedelta Traceback (most recent call last)
File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\coding\times.py:326, in decode_cf_datetime(num_dates, units, calendar, use_cftime)
325 try:
--> 326 dates = _decode_datetime_with_pandas(flat_num_dates, units, calendar)
327 except (KeyError, OutOfBoundsDatetime, OutOfBoundsTimedelta, OverflowError):

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\coding\times.py:272, in _decode_datetime_with_pandas(flat_num_dates, units, calendar)
270 if flat_num_dates.size > 0:
271 # avoid size 0 datetimes GH1329
--> 272 pd.to_timedelta(flat_num_dates.min(), time_units) + ref_date
273 pd.to_timedelta(flat_num_dates.max(), time_units) + ref_date

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\pandas\core\tools\timedeltas.py:223, in to_timedelta(arg, unit, errors)
222 # ...so it must be a scalar value. Return scalar.
--> 223 return _coerce_scalar_to_timedelta_type(arg, unit=unit, errors=errors)

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\pandas\core\tools\timedeltas.py:233, in _coerce_scalar_to_timedelta_type(r, unit, errors)
232 try:
--> 233 result = Timedelta(r, unit)
234 except ValueError:

File timedeltas.pyx:1896, in pandas._libs.tslibs.timedeltas.Timedelta.new()

File timedeltas.pyx:354, in pandas._libs.tslibs.timedeltas.convert_to_timedelta64()

File timedeltas.pyx:379, in pandas._libs.tslibs.timedeltas._maybe_cast_from_unit()

OutOfBoundsTimedelta: Cannot cast 24 from h to 'ns' without overflow.

During handling of the above exception, another exception occurred:

ModuleNotFoundError Traceback (most recent call last)
Cell In[107], line 1
----> 1 ds = neuralgcm.demo.load_data(model.data_coords)

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\neuralgcm\demo.py:56, in load_data(coords)
54 package = importlib.resources.files(neuralgcm)
55 with package.joinpath('data/era5_tl31_19590102T00.nc').open('rb') as f:
---> 56 ds = xarray.load_dataset(f).expand_dims('time')
57 regridder = horizontal_interpolation.ConservativeRegridder(
58 spherical_harmonic.Grid.TL31(), coords.horizontal
59 )
60 return _horizontal_regrid(regridder, ds)

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\backends\api.py:278, in load_dataset(filename_or_obj, **kwargs)
275 raise TypeError("cache has no effect in this context")
277 with open_dataset(filename_or_obj, **kwargs) as ds:
--> 278 return ds.load()

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\core\dataset.py:875, in Dataset.load(self, **kwargs)
873 for k, v in self.variables.items():
874 if k not in lazy_data:
--> 875 v.load()
877 return self

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\core\variable.py:977, in Variable.load(self, **kwargs)
960 def load(self, **kwargs):
961 """Manually trigger loading of this variable's data from disk or a
962 remote source into memory and return this variable.
963
(...)
975 dask.array.compute
976 """
--> 977 self._data = to_duck_array(self._data, **kwargs)
978 return self

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\namedarray\pycompat.py:134, in to_duck_array(data, **kwargs)
131 return loaded_data
133 if isinstance(data, ExplicitlyIndexed):
--> 134 return data.get_duck_array() # type: ignore[no-untyped-call, no-any-return]
135 elif is_duck_array(data):
136 return data

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\core\indexing.py:837, in MemoryCachedArray.get_duck_array(self)
836 def get_duck_array(self):
--> 837 self._ensure_cached()
838 return self.array.get_duck_array()

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\core\indexing.py:831, in MemoryCachedArray._ensure_cached(self)
830 def _ensure_cached(self):
--> 831 self.array = as_indexable(self.array.get_duck_array())

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\core\indexing.py:788, in CopyOnWriteArray.get_duck_array(self)
787 def get_duck_array(self):
--> 788 return self.array.get_duck_array()

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\core\indexing.py:658, in LazilyIndexedArray.get_duck_array(self)
653 # self.array[self.key] is now a numpy array when
654 # self.array is a BackendArray subclass
655 # and self.key is BasicIndexer((slice(None, None, None),))
656 # so we need the explicit check for ExplicitlyIndexed
657 if isinstance(array, ExplicitlyIndexed):
--> 658 array = array.get_duck_array()
659 return _wrap_numpy_scalars(array)

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\coding\variables.py:81, in _ElementwiseFunctionArray.get_duck_array(self)
80 def get_duck_array(self):
---> 81 return self.func(self.array.get_duck_array())

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\coding\times.py:328, in decode_cf_datetime(num_dates, units, calendar, use_cftime)
326 dates = _decode_datetime_with_pandas(flat_num_dates, units, calendar)
327 except (KeyError, OutOfBoundsDatetime, OutOfBoundsTimedelta, OverflowError):
--> 328 dates = _decode_datetime_with_cftime(
329 flat_num_dates.astype(float), units, calendar
330 )
332 if (
333 dates[np.nanargmin(num_dates)].year < 1678
334 or dates[np.nanargmax(num_dates)].year >= 2262
335 ):
336 if _is_standard_calendar(calendar):

File C:\ProgramData\Anaconda3\envs\GCM\lib\site-packages\xarray\coding\times.py:239, in _decode_datetime_with_cftime(num_dates, units, calendar)
235 def _decode_datetime_with_cftime(
236 num_dates: np.ndarray, units: str, calendar: str
237 ) -> np.ndarray:
238 if cftime is None:
--> 239 raise ModuleNotFoundError("No module named 'cftime'")
240 if num_dates.size > 0:
241 return np.asarray(
242 cftime.num2date(num_dates, units, calendar, only_use_cftime_datetimes=True)
243 )

ModuleNotFoundError: No module named 'cftime'
How should I resolve such errors?

[kochkov92]

Hi @2095099596,

The error suggests that xarray tries to access package cftime that is not available. I would look into installing/updating all of the dependencies or potentially adding cftime to your environment.

[2095099596]

您好 ，

该错误表明 xarray 尝试访问不可用的软件包 cftime。我会考虑安装/更新所有依赖项，或者可能将 cftime 添加到您的环境中。

"Okay, thank you very much!"