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Description
Bug summary
I am using clabels. However, when introducing logarithmic axes, the inline placement becomes inaccurate.
Code for reproduction
importmatplotlib.pyplotaspltimportnumpyasnpdelta=0.025x=np.geomspace(1e-2,1e3,40)y=np.geomspace(1e-2,1e3,40)X,Y=np.meshgrid(x,y)Z=np.log(X)+np.log(Y)fig,ax=plt.subplots(nrows=1,figsize=(3,3))CS=ax.contour(X,Y,Z)ax.clabel(CS,inline=1,fontsize=10)ax.set_xscale('log')ax.set_yscale('log')
Actual outcome
Expected outcome
What is quite interesting: If I create several subplots with an identical content, using shared x and y axes, all but the first plot will show the correct behaviour.
This code:
fig, ax = plt.subplots(nrows=1, ncols=3, sharey=True, sharex=True, figsize=(10, 3.2))CS = ax[0].contour(X, Y, Z)ax[0].clabel(CS, inline=1, fontsize=10)ax[0].set_xscale('log')ax[0].set_yscale('log')CS = ax[1].contour(X, Y, Z)ax[1].clabel(CS, inline=1, fontsize=10)ax[1].set_xscale('log')ax[1].set_yscale('log')CS = ax[2].contour(X, Y, Z)ax[2].clabel(CS, inline=1, fontsize=10)ax[2].set_xscale('log')ax[2].set_yscale('log')with the X, Y, Z values from above, lead to this plot:
Note that this only provides the correct results forsharex=True andsharey=True, if one (or both) are set to False, results are invalid.
Additional information
No response
Operating system
Linux and MacOS
Matplotlib Version
3.7.3
Matplotlib Backend
QtAgg
Python version
3.8.10
Jupyter version
6.0.3
Installation
pip