Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/pandas-dev/pandas/issues/55398 below:

DataFrame.replace() is inconsistent between `float64` and `Float64` · Issue #55398 · pandas-dev/pandas · GitHub

• 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.

import pandas as pd
pd.DataFrame({"a": 0.0, "b": 0.0}, index=[0]).astype(
    {"a": "Float64", "b": "float64"}
).replace(False, 1)

Depending on the column dtype, zero values are picked up when replacing False values in the DataFrame, so the column a ends up with 1 and column b ends up with 0.

For the record, other forms of .replace() seem to have the same issue:

pd.DataFrame({"a": 0.0, "b": 0.0}, index=[0]).astype(
    {"a": "Float64", "b": "float64"}
).replace({"a": {False: 1}})

pd.DataFrame({"a": 0.0, "b": 0.0}, index=[0]).astype(
    {"a": "Float64", "b": "float64"}
).replace({"a": {False: 1}, "b": {False: 1}})

There is also a possibly unrelated issue of infering the resulting dtype. The following will work, converting the column a to object dtype:

pd.DataFrame({"a": [0, 1, 2]}, dtype="float64").replace({1: "A"})

while this next one will end up with a TypeError: Invalid value 'A' for dtype Float64

pd.DataFrame({"a": [0, 1, 2]}, dtype="Float64").replace({1: "A"})

I am not sure if this behavior is an intended property of Float64 or not and whether it is a separate issue or not.

Results for both dtypes (in both columns) should be the same. I would expect it to not treat 0 as False, but either way both replaced values should be the same.

pandas : 2.1.1
numpy : 1.25.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 65.5.0
pip : 23.2.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.2
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.16.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.7.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 13.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4