Documentation build raises an OverflowError on ~pandas>=2.0.0~ pandas==2.2.0.
python examples/interp/plot_interpolated_surface.py
Traceback (most recent call last):
File "conversion.pyx", line 156, in pandas._libs.tslibs.conversion.cast_from_unit_vectorized
OverflowError: value too large
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/julien/git/code/hyoga/examples/interp/plot_interpolated_surface.py", line 31, in <module>
ds = ds.hyoga.interp(hyoga.open.example('pism.alps.vis.refined.nc'))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/julien/git/code/hyoga/hyoga/core/accessor.py", line 383, in interp
ds = ds.interp(x=x, y=y)
^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/dataset.py", line 3377, in interp
if is_duck_dask_array(var.data):
^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/variable.py", line 434, in data
return self.values
^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/variable.py", line 607, in values
return _as_array_or_item(self._data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/variable.py", line 313, in _as_array_or_item
data = np.asarray(data)
^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/indexing.py", line 658, in __array__
self._ensure_cached()
File "/usr/lib/python3.12/site-packages/xarray/core/indexing.py", line 655, in _ensure_cached
self.array = NumpyIndexingAdapter(np.asarray(self.array))
^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/indexing.py", line 628, in __array__
return np.asarray(self.array, dtype=dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/core/indexing.py", line 529, in __array__
return np.asarray(array[self.key], dtype=None)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/coding/variables.py", line 72, in __array__
return self.func(self.array)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/coding/times.py", line 333, in decode_cf_timedelta
result = to_timedelta_unboxed(num_timedeltas.ravel(), unit=units)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.12/site-packages/xarray/coding/times.py", line 316, in to_timedelta_unboxed
result = pd.to_timedelta(value, **kwargs).to_numpy()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/julien/.local/lib/python3.12/site-packages/pandas/core/tools/timedeltas.py", line 213, in to_timedelta
return _convert_listlike(arg, unit=unit, errors=errors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/julien/.local/lib/python3.12/site-packages/pandas/core/tools/timedeltas.py", line 266, in _convert_listlike
td64arr = sequence_to_td64ns(arg, unit=unit, errors=errors, copy=False)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/julien/.local/lib/python3.12/site-packages/pandas/core/arrays/timedeltas.py", line 1059, in sequence_to_td64ns
data = cast_from_unit_vectorized(data, unit or "ns")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "conversion.pyx", line 160, in pandas._libs.tslibs.conversion.cast_from_unit_vectorized
pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: cannot convert input -775154880000.0 with the unit 's'
Documentation build raises an
OverflowError
on ~pandas>=2.0.0
~pandas==2.2.0
.