Description
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I have confirmed this bug exists on the latest version of pandas.
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Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
import pandas
pdf = pandas.DataFrame([1, 'a', True])
# behavior for pandas 1.2.3
pdf.prod(axis=0, min_count=1, numeric_only=False)
0 a
dtype: object
# behavior for pandas 1.2.4
pdf.prod(axis=0, min_count=1, numeric_only=False)
AssertionError: assert numeric_only is None
# behavior for pandas 1.2.3
pdf.sum(axis=0, min_count=1, numeric_only=False)
TypeError: unsupported operand type(s) for +: 'int' and 'str'
# behavior for pandas 1.2.4
pdf.sum(axis=0, min_count=1, numeric_only=False)
AssertionError: assert numeric_only is NoneProblem description
Some of the reduction operations (namely, sum and prod) has changed own behavior in 1.2.4 comparing to 1.2.3. prod has become failing and sum has thrown another exception. Other reduction operations need to be checked as well.
Output of pd.show_versions()
pandas : 1.2.4
numpy : 1.19.5
pytz : 2021.1
dateutil : 2.8.1
pip : 20.2.4
setuptools : 50.3.1.post20201107
Cython : None
pytest : 6.2.2
hypothesis : None
sphinx : 3.5.1
blosc : None
feather : 0.4.1
xlsxwriter : None
lxml.etree : 4.6.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.3
IPython : 7.20.0
pandas_datareader: None
bs4 : 4.9.3
bottleneck : None
fsspec : 0.8.5
fastparquet : None
gcsfs : None
matplotlib : 3.2.2
numexpr : 2.7.2
odfpy : None
openpyxl : 3.0.6
pandas_gbq : 0.14.1
pyarrow : 1.0.0
pyxlsb : None
s3fs : None
scipy : 1.6.0
sqlalchemy : 1.3.23
tables : 3.6.1
tabulate : None
xarray : 0.16.2
xlrd : 2.0.1
xlwt : None
numba : None