When importing pandas profiling matplotlib cannot show plots

[diepala]

Describe the bug

In a jupyter notbook, when importing pandas profiling, matplotlib won't show any plots.
This also happens in a normal script. Matplotlib raises the warning UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.. This does not happen if I don't import the pandas profiling.

To Reproduce

In a jupyter notebook, the following code will not show any plots

import matplotlib.pyplot as plt
from pandas_profiling import ProfileReport

plt.plot([1,2,3])

But by removing the second line (from pandas_profiling import ProfileReport) it will behave as expected
The bug can also be reproduced in a normal script, by adding plt.show() at the end.

Version information:

Version information is essential in reproducing and resolving bugs. Please report:

• Python version: 3.9.7
• Environment: jupyter notebook in vs code, and from comand line
• pip:

Click to expand Version information

argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
attrs==21.4.0
autoviz==0.1.35
backcall==0.2.0
black==21.12b0
bleach==4.1.0
blinker==1.4
bokeh==2.4.2
Brlapi==0.8.2
certifi==2020.6.20
cffi==1.15.0
chardet==4.0.0
chrome-gnome-shell==0.0.0
click==7.1.2
colorama==0.4.4
colorcet==3.0.0
command-not-found==0.3
cryptography==3.3.2
cupshelpers==1.0
cycler==0.11.0
dbus-python==1.2.16
debugpy==1.5.1
decorator==5.1.0
defer==1.0.6
defusedxml==0.7.1
distro==1.5.0
emoji==1.6.1
entrypoints==0.3
fonttools==4.28.5
fsspec==0.8.3
hidpidaemon==18.4.6
holoviews==1.14.6
htmlmin==0.1.12
httplib2==0.18.1
hvplot==0.7.3
idna==2.10
ImageHash==4.2.1
importlib-metadata==4.10.0
importlib-resources==5.4.0
ipykernel==6.6.1
ipython==7.31.0
ipython-genutils==0.2.0
ipywidgets==7.6.5
jedi==0.18.1
jeepney==0.7.1
Jinja2==3.0.3
joblib==1.0.1
jsonschema==4.3.3
jupyter==1.0.0
jupyter-client==7.1.0
jupyter-console==6.4.0
jupyter-core==4.9.1
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.0.2
kernelstub==3.1.4
keyring==23.0.1
kiwisolver==1.3.2
language-selector==0.1
launchpadlib==1.10.13
lazr.restfulclient==0.14.2
lazr.uri==1.0.5
louis==3.18.0
macaroonbakery==1.3.1
Markdown==3.3.6
MarkupSafe==2.0.1
matplotlib==3.5.1
matplotlib-inline==0.1.3
missingno==0.5.0
mistune==0.8.4
more-itertools==4.2.0
multimethod==1.6
mypy-extensions==0.4.3
nbclient==0.5.9
nbconvert==6.4.0
nbformat==5.1.3
nest-asyncio==1.5.4
netifaces==0.10.9
networkx==2.6.3
nltk==3.6.7
notebook==6.4.6
numpy==1.22.0
oauthlib==3.1.0
packaging==21.3
pandas==1.3.5
pandas-profiling==3.1.0
pandocfilters==1.5.0
panel==0.12.6
param==1.12.0
parso==0.8.3
pathspec==0.9.0
patsy==0.5.2
pexpect==4.8.0
phik==0.12.0
pickleshare==0.7.5
Pillow==9.0.0
platformdirs==2.4.1
pop-transition==1.1.2
prometheus-client==0.12.0
prompt-toolkit==3.0.24
protobuf==3.12.4
ptyprocess==0.7.0
pycairo==1.16.2
pycparser==2.21
pyct==0.4.8
pycups==2.0.1
pydantic==1.9.0
pydbus==0.6.0
Pygments==2.11.1
PyGObject==3.40.1
PyJWT==1.7.1
pymacaroons==0.13.0
PyNaCl==1.4.0
pyparsing==3.0.6
pyRFC3339==1.1
pyrsistent==0.18.0
python-apt===2.2.1pop0-1628521831-21.10-5dbe6cf
python-dateutil==2.8.2
python-debian===0.1.39ubuntu1
python-xlib==0.29
pytz==2021.1
pyviz-comms==2.1.0
PyWavelets==1.2.0
pyxdg==0.27
PyYAML==5.3.1
pyzmq==22.3.0
qtconsole==5.2.2
QtPy==2.0.0
regex==2021.11.10
repolib==1.5.2
repoman==1.4.0
requests==2.25.1
scikit-learn==1.0.2
scipy==1.7.3
screen-resolution-extra==0.0.0
seaborn==0.11.2
SecretStorage==3.3.1
Send2Trash==1.8.0
sessioninstaller==0.0.0
simplejson==3.17.2
six==1.16.0
statsmodels==0.13.1
sweetviz==2.1.3
systemd-python==234
tangled-up-in-unicode==0.1.0
terminado==0.12.1
testpath==0.5.0
textblob==0.17.1
threadpoolctl==3.0.0
tomli==1.2.3
tornado==6.1
tqdm==4.62.3
traitlets==5.1.1
typing-extensions==4.0.1
ubuntu-advantage-tools==27.4
ubuntu-drivers-common==0.0.0
ufw==0.36.1
urllib3==1.26.5
visions==0.7.4
wadllib==1.3.5
wcwidth==0.2.5
webencodings==0.5.1
widgetsnbextension==3.5.2
wordcloud==1.8.1
xdg==5
xgboost==1.5.1
xkit==0.0.0
xlrd==2.0.1
zipp==3.7.0

[heming611]

ran into the same problem with pandas-profiling 3.1.0, downgraded it to 2.10.0 and the problem disappeared.

[ghost]

Also ran into it with pandas_profiling 3.1.0.
Solved by importing matplotlib after pandas_profiling and adding the magic command. Magic command is required otherwise nothing is displayed:

import pandas_profiling

import matplotlib.pyplot as plt
%matplotlib inline

plt.plot([1,2,3]);

[fabclmnt]

Same as #837