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Description
Summary
When using geoaxes or geoplot, MATLAB hangs for a long time and then the hosted basemaps won't load except for "satellite" one. The default is "streets-light" or "streets-dark" and it causes the figure to just have Loading tiles in the background.
Issue is easily reproduceable by creating a figure and attempting to geoplot anything:
figure; geoplot(1,1,'.');
Sometimes a few tiles will load, but upon zooming or panning the map is filled with tiles that won't load.
If you try to switch to a different basemap it will hang indefinitely unless using "satellite" or one of the local ones such as "darkwater."
Browser(s) used
Chrome
Script output
python troubleshooting.py
MATLAB
matlab - /usr/local/bin/matlab OK
matlab-proxy-app
matlab-proxy-app - /home/jdolan/jdolan-jupyterhub-env/bin/matlab-proxy-app OK
Python and pip executables
python - /home/jdolan/jdolan-jupyterhub-env/bin/python OK
Python 3.9.21
pip - /home/jdolan/jdolan-jupyterhub-env/bin/pip OK
pip 21.3.1 from /home/jdolan/jdolan-jupyterhub-env/lib64/python3.9/site-packages/pip (python 3.9)
python3 - /home/jdolan/jdolan-jupyterhub-env/bin/python3 OK
Python 3.9.21
Xvfb
Xvfb - /usr/bin/Xvfb OK
OS information
Linux
5.14.0-570.39.1.el9_6.x86_64
Linux-5.14.0-570.39.1.el9_6.x86_64-x86_64-with-glibc2.34
uname_result(system='Linux', node='adsbuddy', release='5.14.0-570.39.1.el9_6.x86_64', version='#1 SMP PREEMPT_DYNAMIC Sat Aug 23 04:30:05 EDT 2025', machine='x86_64')
Conda information
conda - None
Installed packages
jupyter_app_launcher 0.3.2
jupyter_client 8.6.3
jupyter_core 5.8.1
jupyter-events 0.12.0
jupyter-lsp 2.3.0
jupyter-matlab-proxy 0.17.1
jupyter_scheduler 2.11.0
jupyter_server 2.17.0
jupyter-server-mathjax 0.2.6
jupyter_server_proxy 4.4.0
jupyter_server_terminals 0.5.3
jupyterhub 5.3.0
jupyterlab 4.4.9
jupyterlab_auto_logout 0.1.0
jupyterlab_git 0.51.2
jupyterlab-hub-button 0.1.0
jupyterlab_pygments 0.3.0
jupyterlab_server 2.27.3
lckr_jupyterlab_variableinspector 3.2.4
matlab-proxy 0.27.1
notebook 7.4.6
notebook_shim 0.2.4WARNING: You are using pip version 21.3.1; however, version 25.2 is available.
You should consider upgrading via the '/home/jdolan/jdolan-jupyterhub-env/bin/python -m pip install --upgrade pip' command.
Environment variables