BUG: Indexing with a date string and a pyarrow timestamp index raises

[matteosantama]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd

df = pd.DataFrame(range(31), index=pd.date_range("2022-01-01", "2022-01-31"))
df.to_parquet("data.parquet")

# this works
pd.read_parquet("data.parquet", dtype_backend="numpy_nullable").loc["2022-01-15":]

# this doesn't
pd.read_parquet("data.parquet", dtype_backend="pyarrow").loc["2022-01-15":]

# but this does
import datetime as dt

pd.read_parquet("data.parquet", dtype_backend="pyarrow").loc[dt.datetime(2022, 1, 15):]

Issue Description

dtype_backend="pyarrow" doesn't allow for the use of strings for indexing dates.

Expected Behavior

Consistency between the two backends. Beyond consistency, the string-based indexing is much more ergonomic.

Installed Versions

INSTALLED VERSIONS

commit : 37ea63d
python : 3.11.2.final.0
python-bits : 64
OS : Darwin
OS-release : 22.2.0
Version : Darwin Kernel Version 22.2.0: Fri Nov 11 02:03:51 PST 2022; root:xnu-8792.61.2~4/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 2.0.1
numpy : 1.24.2
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 65.5.0
pip : 23.1.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.11.0
pandas_datareader: None
bs4 : 4.11.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 12.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

[parthi-siva]

take

[parthi-siva]

When using dtype_backend=numpy_nullable the type of index is DatetimeIndex. But when using dtype_backend="pyarrow" the type of index is Index.

if index is DatetimeIndex _maybe_cast_slice_bound method in pandas/core/indexes/datetimelike.py correctly parses the string in loc to datetime. Thats why this is working
pd.read_parquet("data.parquet", dtype_backend="numpy_nullable").loc["2022-01-15":]

But index is just Index _maybe_cast_slice_bound method in pandas/core/indexes/base.py which don't parse the string causing it to through exception.

@mroeschke ^^

[Julian048]

@parthi-siva are you still working on this issue?

[parthi-siva]

Hi @Julian048 yeah.. I'm still working on it...