-
-
Notifications
You must be signed in to change notification settings - Fork 18.8k
Description
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
import pyarrow as pa
data = {
"foo": ["A", "B", "C"],
"prop": [0.5, 0.8, 0.7]
}
df = pd.DataFrame(data)
df["prop"].astype('float64[pyarrow]')
Issue Description
Cannot change a column type to float64[pyarrow]
. The error I get is:
NameError: name 'pa' is not defined
Expected Behavior
I'd expect to get the column converted properly
0 0.5
1 0.8
2 0.7
Name: prop, dtype: double[pyarrow]
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.12.8
python-bits : 64
OS : Darwin
OS-release : 24.1.0
Version : Darwin Kernel Version 24.1.0: Thu Oct 10 21:02:45 PDT 2024; root:xnu-11215.41.3~2/RELEASE_ARM64_T8112
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
pandas : 2.2.3
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
pip : 24.2
Cython : None
sphinx : None
IPython : 8.27.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : 1.4.2
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : None
matplotlib : 3.9.2
numba : None
numexpr : 2.10.1
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 17.0.0
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None