Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
df = pd.DataFrame(index=pd.date_range('2021', '2022'))
df.loc[np.array(['2021/6/1'])[0]:]Issue Description
The above code throws the following error:
Traceback (most recent call last):
File "/home/auderson/miniconda3/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3444, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-8-71a904a69823>", line 1, in <module>
df.loc[np.array(['2021/6/1'])[0]:]
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexing.py", line 966, in __getitem__
return self._getitem_axis(maybe_callable, axis=axis)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexing.py", line 1179, in _getitem_axis
return self._get_slice_axis(key, axis=axis)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexing.py", line 1213, in _get_slice_axis
indexer = labels.slice_indexer(slice_obj.start, slice_obj.stop, slice_obj.step)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/datetimes.py", line 743, in slice_indexer
return Index.slice_indexer(self, start, end, step, kind=kind)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 6246, in slice_indexer
start_slice, end_slice = self.slice_locs(start, end, step=step)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 6456, in slice_locs
start_slice = self.get_slice_bound(start, "left")
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/datetimes.py", line 778, in get_slice_bound
return super().get_slice_bound(label, side=side, kind=kind)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 6365, in get_slice_bound
label = self._maybe_cast_slice_bound(label, side)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/datetimes.py", line 694, in _maybe_cast_slice_bound
label = super()._maybe_cast_slice_bound(label, side, kind=kind)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/datetimelike.py", line 310, in _maybe_cast_slice_bound
parsed, reso = self._parse_with_reso(label)
File "/home/auderson/miniconda3/lib/python3.8/site-packages/pandas/core/indexes/datetimelike.py", line 231, in _parse_with_reso
parsed, reso_str = parsing.parse_time_string(label, self.freq)
TypeError: Argument 'arg' has incorrect type (expected str, got numpy.str_)
Expected Behavior
There are cases where I'll slice the dataframe with an element from a numpy str array, which has the dtype of np.str_. Not sure if this should be supported by pandas?
Installed Versions
INSTALLED VERSIONS
commit : d023ba7
python : 3.8.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.8.0-63-generic
Version : #71-Ubuntu SMP Tue Jul 13 15:59:12 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.0rc0
numpy : 1.20.3
pytz : 2021.3
dateutil : 2.8.2
pip : 21.2.4
setuptools : 58.0.4
Cython : 0.29.24
pytest : 6.2.5
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.2
html5lib : 1.1
pymysql : 1.0.2
psycopg2 : 2.8.6 (dt dec pq3 ext lo64)
jinja2 : 2.11.3
IPython : 7.29.0
pandas_datareader: 0.9.0
bs4 : None
bottleneck : None
fsspec : 2021.10.1
fastparquet : None
gcsfs : None
matplotlib : 3.5.0
numexpr : 2.7.3
odfpy : None
openpyxl : 3.0.7
pandas_gbq : None
pyarrow : 6.0.1
pyxlsb : None
s3fs : None
scipy : 1.7.3
sqlalchemy : 1.4.27
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
xlwt : None
numba : 0.54.1
zstandard : None