Output data from all cells is lost

[MawneIl]

Current Behaviour

After a single use of the dark_mode parameter, the output data of the cells began to disappear. Reinstalling the editor, creating a new environment, reinstalling the libraries could not solve the problem. At the moment, the ProfileReport function works well the first time, but the second time it is used in a laptop, immediately after rendering, the data disappears in all cells.

operating system: Windows 11
Python version: 3.11
Interface - IDE Microsoft Visual Studio Code
package manager: pip=24.2

packages.txt

Expected Behaviour

displaying cell output data.

Data Description

I used data from Kaggle - https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques

Code that reproduces the bug

import pandas as pd
from ydata_profiling import ProfileReport

link_of_kaggle = 'https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques'
train_path = 'data/train.csv'
data = pd.read_csv(train_path)
data.head()

profile = ProfileReport(
    data, 
    title='Profile report of House Prices',
    explorative=True
    )

profile

profile = ProfileReport(
    data, 
    title='Profile report of House Prices',
    explorative=True
    )

profile

pandas-profiling version

v2.2.3

Dependencies

annotated-types==0.7.0
anyio==4.6.2.post1
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1698341106958/work
async-lru==2.0.4
attrs==24.2.0
babel==2.16.0
beautifulsoup4==4.12.3
bleach==6.1.0
certifi==2024.8.30
cffi==1.17.1
charset-normalizer==3.4.0
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1710320294760/work
contourpy==1.3.0
cycler==0.12.1
dacite==1.8.1
debugpy @ file:///C:/b/abs_c0y1fjipt2/croot/debugpy_1690906864587/work
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
defusedxml==0.7.1
exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1720869315914/work
executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1725214404607/work
fastjsonschema==2.20.0
fonttools==4.54.1
fqdn==1.5.1
h11==0.14.0
htmlmin==0.1.12
httpcore==1.0.6
httpx==0.27.2
idna==3.10
ImageHash==4.3.1
importlib_metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1726082825846/work
ipykernel @ file:///D:/bld/ipykernel_1719845595208/work
ipython @ file:///D:/bld/ipython_1727944871745/work
ipython-genutils==0.2.0
ipywidgets==7.7.1
isoduration==20.11.0
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1696326070614/work
Jinja2==3.1.4
joblib==1.4.2
json5==0.9.25
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1726610684920/work
jupyter_core @ file:///D:/bld/jupyter_core_1710257313664/work
jupyter_server==2.14.2
jupyter_server_terminals==0.5.3
jupyterlab==4.2.5
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupyterlab_widgets==3.0.13
kiwisolver==1.4.7
llvmlite==0.43.0
MarkupSafe==3.0.2
matplotlib==3.9.2
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1713250518406/work
mistune==3.0.2
multimethod==1.12
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest_asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1705850609492/work
networkx==3.4.1
notebook==7.2.2
notebook_shim==0.2.4
numba==0.60.0
numpy==2.0.2
overrides==7.7.0
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1718189413536/work
pandas==2.2.3
pandocfilters==1.5.1
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1712320355065/work
patsy==0.5.6
phik==0.12.4
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
pillow==11.0.0
platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1726613481435/work
prometheus_client==0.21.0
prompt_toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1727341649933/work
psutil @ file:///C:/ci_311_rebuilds/psutil_1679005906571/work
pure_eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1721585709575/work
pycparser==2.22
pydantic==2.9.2
pydantic_core==2.23.4
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1714846767233/work
pyparsing==3.2.0
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1709299778482/work
python-json-logger==2.0.7
pytz==2024.2
PyWavelets==1.7.0
pywin32==308
pywinpty==2.0.14
PyYAML==6.0.2
pyzmq @ file:///D:/bld/pyzmq_1666828541352/work
referencing==0.35.1
requests==2.32.3
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.20.0
scipy==1.13.1
seaborn==0.13.2
Send2Trash==1.8.3
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
sniffio==1.3.1
soupsieve==2.6
stack-data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1669632077133/work
statsmodels==0.14.4
terminado==0.18.1
tinycss2==1.3.0
tornado @ file:///D:/bld/tornado_1666788735597/work
tqdm==4.66.5
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1713535121073/work
typeguard==4.3.0
types-python-dateutil==2.9.0.20241003
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1717802530399/work
tzdata==2024.2
uri-template==1.3.0
urllib3==2.2.3
visions==0.7.6
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1704731205417/work
webcolors==24.8.0
webencodings==0.5.1
websocket-client==1.8.0
widgetsnbextension==3.6.9
wordcloud==1.9.3
ydata-profiling==4.11.0
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1726248574750/work

OS

Windows 11

Checklist

• There is not yet another bug report for this issue in the issue tracker
• The problem is reproducible from this bug report. This guide can help to craft a minimal bug report.
• The issue has not been resolved by the entries listed under Common Issues.

[techie505]

//assign