Description
Pandas version checks
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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
df1 = pd.DataFrame({
'idx': [1, 2],
'val': [True]*2,
}).set_index('idx')
df2 = pd.DataFrame({
'idx': [1],
'val': [True],
}).set_index('idx')
print(df1.dtypes['val'])
print(df2.dtypes['val'])
df1.update(df2)
print(df1.dtypes['val'])Issue Description
Related to issue #4094. When calling df1.update(df2) the datatype of column val is converted to object, despite the fact that it is type bool on both df1 and df2. This occurs when the index of df1 contains values not present in the index of df2.
Expected Behavior
The expected output of the example is:
bool
bool
bool
In practice the output is:
bool
bool
object
Installed Versions
INSTALLED VERSIONS
commit : e86ed37
python : 3.10.13.final.0
python-bits : 64
OS : Darwin
OS-release : 22.6.0
Version : Darwin Kernel Version 22.6.0: Wed Jul 5 22:21:56 PDT 2023; root:xnu-8796.141.3~6/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
pandas : 2.1.1
numpy : 1.26.0
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.1.2
pip : 23.2.1
Cython : None
pytest : 7.4.2
hypothesis : None
sphinx : 7.2.6
blosc : None
feather : None
xlsxwriter : 3.1.6
lxml.etree : 4.9.3
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.5.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.9.2
gcsfs : None
matplotlib : 3.7.3
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : 13.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.11.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None