Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
import pandas as pd
print(pd.__version__)
x = pd.DataFrame.from_dict({'a':[1,2,3], 'b':[4,5,6]})
y = pd.DataFrame({'a':[1,2,3]}, dtype='category')
print(x.isin(y))
y = pd.Series([1,2,3]).astype('category')
print(x.isin(y))
1.0.3
a b
0 True False
1 True False
2 True False
Traceback (most recent call last):
File "/home/brmiller/repro.py", line 9, in <module>
print(x.isin(y))
File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/frame.py", line 8423, in isin
return self.eq(values.reindex_like(self), axis="index")
File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 814, in f
self, other, op, fill_value=None, axis=axis, level=level
File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/ops/__init__.py", line 618, in _combine_series_frame
new_data = left._combine_match_index(right, func)
File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/frame.py", line 5317, in _combine_match_index
new_data = func(self.values.T, other.values).T
File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/ops/common.py", line 64, in new_method
return method(self, other)
File "/home/brmiller/anaconda3/envs/pandas1/lib/python3.7/site-packages/pandas/core/arrays/categorical.py", line 72, in func
raise ValueError("Lengths must match.")
ValueError: Lengths must match.Problem description
This operation previously worked in pandas 0.25.3 and gave the same result as the case when other is a single column DataFrame.
Expected Output
a b
0 True False
1 True False
2 True False
a b
0 True False
1 True False
2 True False
Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.6.final.0
python-bits : 64
OS : Linux
OS-release : 4.15.0-76-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.3
numpy : 1.18.4
pytz : 2020.1
dateutil : 2.8.1
pip : 20.1
setuptools : 46.4.0.post20200518
Cython : 0.29.17
pytest : 5.4.2
hypothesis : 5.14.0
sphinx : 3.0.3
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.14.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 0.15.0
pytables : None
pytest : 5.4.2
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : 0.49.1