Example failure
```
_______________________________ test_sel_date_scalar_nearest[proleptic_gregorian-sel_kwargs2] _______________________________
da =
array([1, 2, 3, 4])
Coordinates:
* time (time) object 0001-01-01 00:00:00 ... 0002-02-01 00:00:00
date_type =
index = CFTimeIndex([0001-01-01 00:00:00, 0001-02-01 00:00:00, 0002-01-01 00:00:00,
0002-02-01 00:00:00],
dtype='object')
sel_kwargs = {'method': 'nearest', 'tolerance': datetime.timedelta(days=1800000)}
@requires_cftime
@pytest.mark.parametrize(
""sel_kwargs"",
[
{""method"": ""nearest""},
{""method"": ""nearest"", ""tolerance"": timedelta(days=70)},
{""method"": ""nearest"", ""tolerance"": timedelta(days=1800000)},
],
)
def test_sel_date_scalar_nearest(da, date_type, index, sel_kwargs):
expected = xr.DataArray(2).assign_coords(time=index[1])
> result = da.sel(time=date_type(1, 4, 1), **sel_kwargs)
test_cftimeindex.py:471:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../core/dataarray.py:1061: in sel
**indexers_kwargs,
../core/dataset.py:2066: in sel
self, indexers=indexers, method=method, tolerance=tolerance
../core/coordinates.py:392: in remap_label_indexers
obj, v_indexers, method=method, tolerance=tolerance
../core/indexing.py:270: in remap_label_indexers
idxr, new_idx = convert_label_indexer(index, label, dim, method, tolerance)
../core/indexing.py:190: in convert_label_indexer
label.item(), method=method, tolerance=tolerance
../coding/cftimeindex.py:365: in get_loc
return pd.Index.get_loc(self, key, method=method, tolerance=tolerance)
../../../pandas/pandas/core/indexes/base.py:2874: in get_loc
indexer = self.get_indexer([key], method=method, tolerance=tolerance)
../../../pandas/pandas/core/indexes/base.py:2967: in get_indexer
indexer = self._get_nearest_indexer(target, limit, tolerance)
../../../pandas/pandas/core/indexes/base.py:3062: in _get_nearest_indexer
indexer = self._filter_indexer_tolerance(target, indexer, tolerance)
../../../pandas/pandas/core/indexes/base.py:3069: in _filter_indexer_tolerance
indexer = np.where(distance <= tolerance, indexer, -1)
../../../pandas/pandas/core/indexes/extension.py:129: in wrapper
return op(other)
../../../pandas/pandas/core/ops/common.py:63: in new_method
return method(self, other)
../../../pandas/pandas/core/arrays/datetimelike.py:75: in wrapper
other = self._scalar_type(other)
pandas/_libs/tslibs/timedeltas.pyx:1233: in pandas._libs.tslibs.timedeltas.Timedelta.__new__
???
pandas/_libs/tslibs/timedeltas.pyx:209: in pandas._libs.tslibs.timedeltas.convert_to_timedelta64
???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> ???
E OverflowError: Python int too large to convert to C long
pandas/_libs/tslibs/timedeltas.pyx:154: OverflowError
```
Example failure
```
____________________________ test_indexing_in_series_getitem[365_day] _____________________________
series = 0001-01-01 00:00:00 1
0001-02-01 00:00:00 2
0002-01-01 00:00:00 3
0002-02-01 00:00:00 4
dtype: int64
index = CFTimeIndex([0001-01-01 00:00:00, 0001-02-01 00:00:00, 0002-01-01 00:00:00,
0002-02-01 00:00:00],
dtype='object')
scalar_args = [cftime.DatetimeNoLeap(0001-01-01 00:00:00)]
range_args = ['0001', slice('0001-01-01', '0001-12-30', None), slice(None, '0001-12-30', None), slice(cftime.DatetimeNoLeap(0001-01...:00), cftime.DatetimeNoLeap(0001-12-30 00:00:00), None), slice(None, cftime.DatetimeNoLeap(0001-12-30 00:00:00), None)]
@requires_cftime
def test_indexing_in_series_getitem(series, index, scalar_args, range_args):
for arg in scalar_args:
> assert series[arg] == 1
test_cftimeindex.py:597:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../../../pandas/pandas/core/series.py:884: in __getitem__
return self._get_with(key)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = 0001-01-01 00:00:00 1
0001-02-01 00:00:00 2
0002-01-01 00:00:00 3
0002-02-01 00:00:00 4
dtype: int64
key = cftime.DatetimeNoLeap(0001-01-01 00:00:00)
def _get_with(self, key):
# other: fancy integer or otherwise
if isinstance(key, slice):
# _convert_slice_indexer to determing if this slice is positional
# or label based, and if the latter, convert to positional
slobj = self.index._convert_slice_indexer(key, kind=""getitem"")
return self._slice(slobj)
elif isinstance(key, ABCDataFrame):
raise TypeError(
""Indexing a Series with DataFrame is not ""
""supported, use the appropriate DataFrame column""
)
elif isinstance(key, tuple):
try:
return self._get_values_tuple(key)
except ValueError:
# if we don't have a MultiIndex, we may still be able to handle
# a 1-tuple. see test_1tuple_without_multiindex
if len(key) == 1:
key = key[0]
if isinstance(key, slice):
return self._get_values(key)
raise
if not isinstance(key, (list, np.ndarray, ExtensionArray, Series, Index)):
> key = list(key)
E TypeError: 'cftime._cftime.DatetimeNoLeap' object is not iterable
../../../pandas/pandas/core/series.py:911: TypeError
```