BUG: inconsistent replace · Issue #35376 · pandas-dev/pandas (original) (raw)

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• I have confirmed this bug exists on the latest version of pandas.
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Problem description

pd.DataFrame([[1,1.0],[2,2.0]]).replace(1.0, 5) 0 1 0 1 5.0 1 2 2.0

pd.DataFrame([[1,1.0],[2,2.0]]).replace(1, 5) 0 1 0 5 5.0 1 2 2.0

Problem description

Maybe I don't understand somethink or this is just non-sens

Expected Output

pd.DataFrame([[1,1.0],[2,2.0]]).replace(1.0, 5) 0 1 0 1 5.0 1 2 2.0

pd.DataFrame([[1,1.0],[2,2.0]]).replace(1, 5) 0 1 0 5 1.0 1 2 2.0

Or

pd.DataFrame([[1,1.0],[2,2.0]]).replace(1.0, 5) 0 1 0 5 5.0 1 2 2.0

pd.DataFrame([[1,1.0],[2,2.0]]).replace(1, 5) 0 1 0 5 5.0 1 2 2.0

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.6.9.final.0
python-bits : 64
OS : Linux
OS-release : 5.3.0-62-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.0.5
numpy : 1.19.0
pytz : 2020.1
dateutil : 2.8.1
pip : 20.1.1
setuptools : 49.2.0
Cython : None
pytest : 5.4.3
hypothesis : None
sphinx : 3.1.1
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.15.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : 0.6.2
lxml.etree : None
matplotlib : 3.2.2
numexpr : 2.7.1
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 0.17.1
pytables : None
pytest : 5.4.3
pyxlsb : None
s3fs : None
scipy : 1.5.1
sqlalchemy : None
tables : 3.6.1
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : 0.50.1