BUG: Series.equals fails when comparing numpy arrays to scalars (original) (raw)

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Code Sample, a copy-pastable example

import pandas as pd import numpy as np

arr = np.array([1, 2]) s1 = pd.Series([arr, arr]) s2 = s1.copy()

s1[1] = 9 s1.equals(s2) # This throws a ValueError

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

Problem description

Series.equals operation fails when comparing two Series that at the same position respectively have a single value and a list. Pandas then throws a ValueError since it cannot compare a single value to a list.

Related issues #20676 and #35237

Expected Output

False, since the two series are not equal

Output of pd.show_versions()

Details

INSTALLED VERSIONS

commit : 9827ce0
python : 3.8.3.final.0
python-bits : 64
OS : Darwin
OS-release : 19.5.0
Version : Darwin Kernel Version 19.5.0: Tue May 26 20:41:44 PDT 2020; root:xnu-6153.121.2~2/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8

pandas : 1.1.0.dev0+2088.g9827ce00f
numpy : 1.18.5
pytz : 2020.1
dateutil : 2.8.1
pip : 20.1.1
setuptools : 49.2.0.post20200712
Cython : 0.29.21
pytest : 5.4.3
hypothesis : 5.19.1
sphinx : 3.1.1
blosc : None
feather : None
xlsxwriter : 1.2.9
lxml.etree : 4.5.2
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.16.1
pandas_datareader: None
bs4 : 4.9.1
bottleneck : 1.3.2
fsspec : 0.7.4
fastparquet : 0.4.0
gcsfs : 0.6.2
matplotlib : 3.2.2
numexpr : 2.7.1
odfpy : None
openpyxl : 3.0.4
pandas_gbq : None
pyarrow : 0.17.1
pytables : None
pyxlsb : None
s3fs : 0.4.2
scipy : 1.5.0
sqlalchemy : 1.3.18
tables : 3.6.1
tabulate : 0.8.7
xarray : 0.16.0
xlrd : 1.2.0
xlwt : 1.3.0
numba : 0.50.1