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Description
Bug summary
When constructing inset axes using the tutorial onthis page the gradient of the colorbar does not appear in the constructed inset axis but somewhere else on the figure (location seems to depend on figure size) once saved to a PDF with multiple other figures if bbox_inches='tight'. Similar to#27143 and#25176.
Code for reproduction
frommpl_toolkits.axes_grid1.inset_locatorimportinset_axesimportmatplotlib.pylabaspltfrommatplotlib.backends.backend_pdfimportPdfPages#make the first figurefig,axes=plt.subplots(1,1,facecolor='white',figsize= (20,5),constrained_layout=True)x=random.randint(100,size=(100,2048))c=axes.imshow(x,origin='lower',cmap='Reds',vmin=0,vmax=100,aspect="auto")axins1=inset_axes(axes,width="10%",height="30%",loc="upper left",bbox_to_anchor= (0.045,0.,1,1),bbox_transform=axes.transAxes )axins1.xaxis.set_ticks_position("bottom")fig.colorbar(c,cax=axins1,orientation="horizontal")axes.set_yticklabels([])fig.suptitle("Title")plt.figtext(-0.02,0.5,'Random',c='k',rotation=90,ma='center',fontsize=medium)#make figure 2fig2,axes=plt.subplots(1,1,facecolor='white',figsize= (20,5),constrained_layout=True)x=random.randint(100,size=(100,2048))c=axes.imshow(x,origin='lower',cmap='Reds',vmin=0,vmax=100,aspect="auto")axins1=inset_axes(axes,width="10%",height="30%",loc="upper left",bbox_to_anchor= (0.045,0.,1,1),bbox_transform=axes.transAxes )axins1.xaxis.set_ticks_position("bottom")fig2.colorbar(c,cax=axins1,orientation="horizontal")axes.set_yticklabels([])fig2.suptitle("Title")plt.figtext(-0.02,0.5,'Random',c='k',rotation=90,ma='center',fontsize=medium)#save figs to PDFfigs= [fig,fig2]withPdfPages('test.pdf')aspdf:forfiginfigs:pdf.savefig(fig,bbox_inches='tight')
Actual outcome
The gradient for the colorbar appears outside of the inset axes on each of the plots
test_small.pdf
Expected outcome
The result for this particular example when bbox_inches='tight' is not called in savefig(). Note: when running in jupyter lab this is always the outcome--only when saving the figure does the gradient jump out of the inset axis.
test_loose.pdf
Additional information
I tried the same suggestion as in#27143 and usedaxins1 = axes.inset_axes([0.05, 0.7, 0.1, 0.2], transform = axes.transAxes) in my own code which seemed to fix this. Unsure why the example constructor for inset_axeshere doesn't work in this case.
Operating system
Mac OS 13.6.3 (Ventura) Intel
Matplotlib Version
3.8.0
Matplotlib Backend
Installed osx event loop hook. MacOSX
Python version
Python 3.9.18
Jupyter version
Jupyter Lab 3.6.3
Installation
conda