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Description
Bug summary
With the recent mpl prerelease, we started to have a failure in the test suite of nilearn, a package that depends on matplotlib for visualization. I reproduced the error with a matplotlib example and it seems that when callingAxes.contours it's not possible to set thelevels parameter to values less thanvmin using array-like input. This happens even whenvmax is also set by the user and it seems to be because vmax ends up being set to 0 internally. The code reproduced below will throwValueError: minvalue must be less than or equal to maxvalue. I'm not sure if it's a usage error or a bug so let me know if this is expected behavior, however as I understand it the values forlevels andvmin andvmax should be independent.
Code for reproduction
importmatplotlib.pyplotaspltimportnumpyasnpfeature_x=np.arange(0,50,2)feature_y=np.arange(0,50,3)# Creating 2-D grid of features[X,Y]=np.meshgrid(feature_x,feature_y)fig,ax=plt.subplots(1,1)Z=np.cos(X/2)+np.sin(Y/4)# plots contour linesax.contour(X,Y,Z,levels=[0.0,0.1],vmin=0.2,vmax=0.8)
Actual outcome
ValueErrorTraceback (mostrecentcalllast)[/home/yasmin/.config/Code/User/globalStorage/buenon.scratchpads/scratchpads/47a6066b9dfaca1c2b13ea2e99f4e929/scratch.py](https://file+.vscode-resource.vscode-cdn.net/home/yasmin/.config/Code/User/globalStorage/buenon.scratchpads/scratchpads/47a6066b9dfaca1c2b13ea2e99f4e929/scratch.py)in () [109](file:///home/yasmin/.config/Code/User/globalStorage/buenon.scratchpads/scratchpads/47a6066b9dfaca1c2b13ea2e99f4e929/scratch.py?line=108)Z=np.cos(X [/](https://file+.vscode-resource.vscode-cdn.net/)2)+np.sin(Y [/](https://file+.vscode-resource.vscode-cdn.net/)4) [111](file:///home/yasmin/.config/Code/User/globalStorage/buenon.scratchpads/scratchpads/47a6066b9dfaca1c2b13ea2e99f4e929/scratch.py?line=110)# plots contour lines---> [112](file:///home/yasmin/.config/Code/User/globalStorage/buenon.scratchpads/scratchpads/47a6066b9dfaca1c2b13ea2e99f4e929/scratch.py?line=111)ax.contour(X,Y,Z,levels=[0.0,0.1],vmin=0.2,vmax=0.8)File [~/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py:1465](https://file+.vscode-resource.vscode-cdn.net/home/yasmin/nilearn/nilearn/~/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py:1465),in_preprocess_data..inner(ax,data,*args,**kwargs) [1462](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1461) @functools.wraps(func) [1463](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1462)definner(ax,*args,data=None,**kwargs): [1464](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1463)ifdataisNone:-> [1465](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1464)returnfunc(ax,*map(sanitize_sequence,args),**kwargs) [1467](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1466)bound=new_sig.bind(ax,*args,**kwargs) [1468](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1467)auto_label= (bound.arguments.get(label_namer) [1469](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/__init__.py?line=1468)orbound.kwargs.get(label_namer))File [~/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py:6498](https://file+.vscode-resource.vscode-cdn.net/home/yasmin/nilearn/nilearn/~/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py:6498),inAxes.contour(self,*args,**kwargs) [6489](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6488)""" [6490](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6489) Plot contour lines. [6491](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6490) (...) [6495](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6494) %(contour_doc)s [6496](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6495) """ [6497](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6496)kwargs['filled']=False-> [6498](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/axes/_axes.py?line=6497)contours=mcontour.QuadContourSet(self,*args,**kwargs)...-> [1361](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/colors.py?line=1360)raiseValueError("minvalue must be less than or equal to maxvalue") [1362](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/colors.py?line=1361)else: [1363](file:///home/yasmin/miniconda3/envs/nilearn-dev/lib/python3.10/site-packages/matplotlib/colors.py?line=1362)ifclip:ValueError:minvaluemustbelessthanorequaltomaxvalue
Expected outcome
A plot matplotlib.contour.QuadContourSet object
Additional information
The test that led to this failure did pass before this version
Operating system
Ubuntu 22.04
Matplotlib Version
3.8.0rc1
Matplotlib Backend
module://matplotlib_inline.backend_inline
Python version
3.10.4
Jupyter version
No response
Installation
pip