Closed
Description
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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 master branch of pandas.
Reproducible Example
import pandas as pd
df = pd.DataFrame({"a": ["x", "y", "z", "w"], "b": [True, False, False, True]}).astype({"b":"boolean"})
df.replace("x", "X")Issue Description
When trying to use pandas.DataFrame.replace() on a dataframe with several columns including boolean columns where the boolean (i.e. nullable) dtype has been set explicitly beforehand. When running the above snippet I get the following error:
File "C:\users\el_caminooooo\playground\venv/lib/python3.7/site-packages/pandas/core/arrays/boolean.py", line 265, in __init__
"values should be boolean numpy array. Use "
TypeError: values should be boolean numpy array. Use the 'pd.array' function instead
Is this a pandas bug?. Also please note both of the following work fine:
import pandas as pd
df = pd.DataFrame({"a": ["x", "y", "z", "w"], "b": [True, False, False, True]}).astype({"b":"bool"}) # notice 'bool' instead of 'boolean'
df.replace("x", "X")and:
df = pd.DataFrame({"a": ["x", "y", "z", "w"], "b": [True, False, False, True]})
df.replace("x", "X")Expected Behavior
the replace should complete successfully
Installed Versions
INSTALLED VERSIONS
------------------
commit : 7c48ff4
python : 3.7.10.final.0
python-bits : 64
OS : Linux
OS-release : 3.10.0-957.27.2.el7.x86_64
Version : #1 SMP Mon Jul 29 17:46:05 UTC 2019
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.4
numpy : 1.21.0
pytz : 2021.1
dateutil : 2.8.1
pip : 21.3.1
setuptools : 47.1.0
Cython : 0.29.23
pytest : 6.2.5
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.1
IPython : None
pandas_datareader: 0.10.0
bs4 : None
bottleneck : None
fsspec : 2021.08.1
fastparquet : 0.7.0
gcsfs : None
matplotlib : 3.4.2
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : 4.0.0
pyxlsb : None
s3fs : None
scipy : 1.6.3
sqlalchemy : None
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
xlwt : None
numba : None