BUG: pandas.DataFrame.any bool_only parameter not working since v0.24.0 · Issue #32432 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example if possible

This is the code that I run to test the DataFrame.any function in different pandas versions

import pandas as pd pd.version df = pd.DataFrame({"A": [True, False], "B": [1, 2]}) df df.dtypes df.any(axis=1) df.any(axis=1, bool_only=True)

Problem description

In pandas version 0.23.4, the output is expected when bool_only=True is specified

import pandas as pd pd.version '0.23.4' df = pd.DataFrame({"A": [True, False], "B": [1, 2]}) df A B 0 True 1 1 False 2 df.dtypes A bool B int64 df.any(axis=1) 0 True 1 True dtype: bool df.any(axis=1, bool_only=True) 0 True 1 False dtype: bool

However in pandas version 0.24.0, the final output is wrong for bool_only=True

import pandas as pd pd.version '0.24.0' df = pd.DataFrame({"A": [True, False], "B": [1, 2]}) df A B 0 True 1 1 False 2 df.dtypes A bool B int64 df.any(axis=1) 0 True 1 True dtype: bool df.any(axis=1, bool_only=True) 0 True 1 True dtype: bool

Expected Output

df.any(axis=1, bool_only=True) 0 True 1 False dtype: bool

Output of pd.show_versions()

I can only reproduce this bug for pandas version v0.24.0 and above so I'll include details for v0.24.0.

INSTALLED VERSIONS

commit: None
python: 3.7.4.final.0
python-bits: 64
OS: Darwin
OS-release: 18.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8

pandas: 0.24.0
pytest: 5.0.1
pip: 20.0.2
setuptools: 40.8.0
Cython: None
numpy: 1.17.0
scipy: None
pyarrow: 0.14.1
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2019.2
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None