BUG: DataFrame.update doesn't preserve dtypes · Issue #55509 · pandas-dev/pandas (original) (raw)

Pandas version checks

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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:

In practice the output is:

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