Description
Pandas version checks
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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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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
pip install requests
pip install --upgrade --pre pandas==1.5.0rc0
import requests
import pandas as pd
r = requests.get(f"https://elcinema.com/en/index/work/country/eg?page=1")
df_one= pd.read_html(r.text)[0]
row_a = df_one["Release Year"].iloc[1]
print(row_a) # `2023`
df_two= pd.read_html(r.text, extract_links="body")[0]
row_b = df_two["Release Year"].iloc[1]
print(row_b) # `('2023', None)`Issue Description
The print statement returns 2023
The second print statement returns ('2023', None) the first item in the tuple has the wrong type.
extracting_links is changing how the type is being determined.
Expected Behavior
The first argument in the tuple should have the same type as if extract_links was not defined.
In this case it should return (2023, None)
i.e
assert row_a == row_b[0]
Should hold, but it doesn't
Installed Versions
INSTALLED VERSIONS
commit : 224458e
python : 3.8.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.102.1-microsoft-standard-WSL2
Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.0rc0
numpy : 1.23.2
pytz : 2022.2.1
dateutil : 2.8.2
setuptools : 44.0.0
pip : 22.2.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.1
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.4.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None