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
# pytest pandas/tests/io/
============================================================================================ short test summary info =============================================================================================
FAILED pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip[\U0001f44d...] - pandas.errors.PyperclipException:
FAILED pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip[\u03a9\u0153\u2211\xb4...] - pandas.errors.PyperclipException:
FAILED pandas/tests/io/test_clipboard.py::TestClipboard::test_raw_roundtrip[abcd...] - pandas.errors.PyperclipException:
========================================================================================= 3 failed, 232 passed in 1.55s ==========================================================================================
Issue Description
The unit-test
pandas/pandas/tests/io/test_clipboard.py
Line 398 in 047c11d
does not pass.
I am using VSCode with the .devcontainer file (thus in a container), with a linux distribution (pop-os).
Current commit I am on is 047c11d
I tried to do apt-get install xclip
but it did not solve the issue.
Expected Behavior
The test should pass.
Installed Versions
INSTALLED VERSIONS
commit : 047c11d
python : 3.8.13.final.0
python-bits : 64
OS : Linux
OS-release : 5.8.0-7630-generic
Version : #32160919370720.10~781bb80-Ubuntu SMP Tue Jan 5 21:29:56 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : C.UTF-8
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.6.0.dev0+89.g047c11d780.dirty
numpy : 1.22.4
pytz : 2022.2.1
dateutil : 2.8.2
setuptools : 65.3.0
pip : 22.2.2
Cython : 0.29.32
pytest : 7.1.3
hypothesis : 6.54.5
sphinx : 4.5.0
blosc : None
feather : None
xlsxwriter : 3.0.3
lxml.etree : 4.9.1
html5lib : 1.1
pymysql : 1.0.2
psycopg2 : 2.9.3
jinja2 : 3.0.3
IPython : 8.5.0
pandas_datareader: 0.10.0
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : 0.8.3
fsspec : 2021.11.0
gcsfs : 2021.11.0
matplotlib : 3.5.3
numba : 0.55.2
numexpr : 2.8.3
odfpy : None
openpyxl : 3.0.10
pandas_gbq : 0.17.8
pyarrow : 9.0.0
pyreadstat : 1.1.9
pyxlsb : 1.0.9
s3fs : 2021.11.0
scipy : 1.9.1
snappy :
sqlalchemy : 1.4.41
tables : 3.7.0
tabulate : 0.8.10
xarray : 2022.6.0
xlrd : 2.0.1
xlwt : 1.3.0
zstandard : 0.18.0
tzdata : None