How to set logarithmic x-axis in 3d plot?

Community
1

Hello everyone,
I want to creat some 2d netron energy spectrum graphs in different planes. So I follow the example to write the following code:

fig = plt.figure(figsize=(10,10))
ax = fig.add_subplot(projection='3d')
for i in np.arange(len(optmized_spc_absolutely[0])):
    ax.plot(x,optmized_spc_absolutely[0][i],i,zdir='y')
#ax.set_xscale('log')
ax.set_xlabel('Energy [eV]')
ax.set_ylabel('zone')
ax.set_zlabel('flux')

image
image790×790 155 KB

But I want to set x-axis to log, graph become strange
image
image821×790 55.5 KB

Can someone tell me how to set up so that the make the logarithmic X-axis displayed correctly?

2

I’m not too sure that this is possible; I think the work in ENH: 3D Transforms by AnsonTran · Pull Request #28098 · matplotlib/matplotlib · GitHub will make it so though.

In the meantime, the workaround would be to apply the log transform yourself first, and then modify the ticks to match.

3

Thank you very much! I set the np.log(x) as x axis and graphs looks great.