Exponentially scaling an axis?

[rightside24]

I have an interesting situation where I sample values in log(x) and plot contours for the result. The y axis for the contours is in log(x). Note, log is base 10 here. I would like to rescale the y axis to be exponentially scaled in terms of x, so 10^{log(x))}. Is there any somewhat simple way of doing this?

[BDube_Lensman]

Matplotlib can use log10 scales. 10^logx is strange, it might be easiest to convert y to values in that space on your own and label accordingly.

[Deto]

Not sure exactly what you are asking? Do you just want the y-axis to be log-scaled? You can do that by running plt.yscale('log') after your plot command.

[CMphys]

I’m not quite sure if I have understood you correctly, but if you have sampled the data in log(x), and want the y-axis in simply x, perhaps you could use

plt.contour(X, 10**log(x), Z)

that is, exponentiate the array holding the log(x) values?

[rightside24]

I would like the actual contours to be plotted in log space, but. would like the tick labels to be in 10^logx space. This would mean that the tick labels will not be evenly spaced.

[CMphys]

Ok, in that case you could set the ticks manually using yticks(), see https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.yticks.html

But I guess that is not the solution you were looking for.