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
import pandas as pd
import pyarrow
from io import StringIO
# Sample data
data = """
Date Arrived,Arrival Time
12/19/23,18:42
"""
df = pd.read_csv(StringIO(data), engine='pyarrow')
df = df.convert_dtypes()
## TypeError: cannot set astype for copy = [True] for dtype (object [(1, 1)]) to different shape (object [(1,)])Issue Description
With the latest dev pandas, convert_dtypes() is not usable. This issue is related to the pyarrow engine, as removing the engine works fine.
Expected Behavior
Should not crash with a TypeError.
Installed Versions
INSTALLED VERSIONS
commit : 98e1d2f
python : 3.11.7.final.0
python-bits : 64
OS : Linux
OS-release : 6.5.11-linuxkit
Version : #1 SMP PREEMPT_DYNAMIC Wed Dec 6 17:14:50 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.0.dev0+936.g98e1d2f8ce
numpy : 1.26.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 69.0.2
pip : 23.3.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.9
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
bottleneck : 1.3.7
dataframe-api-compat : None
fastparquet : None
fsspec : 2023.12.2
gcsfs : None
matplotlib : None
numba : 0.58.1
numexpr : 2.8.8
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 14.0.2
pyreadstat : None
python-calamine : None
pyxlsb : 1.0.10
s3fs : 0.4.2
scipy : None
sqlalchemy : 2.0.23
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None