# How to show axis values with evoked.plot\_topo

**URL:** <https://mne.discourse.group/t/how-to-show-axis-values-with-evoked-plot-topo/5361>\
**Category:** Support & Discussions\
**Tags:** eeg, visualization\
**Created:** [August 2, 2022, 1:14pm UTC](https://mne.discourse.group/t/how-to-show-axis-values-with-evoked-plot-topo/5361 "2022-08-02T13:14:20Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![EmileS](https://yyz2.discourse-cdn.com/free1/user_avatar/mne.discourse.group/emiles/32/2703_2.png) [@EmileS](https://mne.discourse.group/u/EmileS)\
**Post date:** [August 2, 2022, 1:14pm UTC](https://mne.discourse.group/t/how-to-show-axis-values-with-evoked-plot-topo/5361/1 "2022-08-02T13:14:21Z")

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Hello everyone!  
I’m having trouble with the evoked.plot\_topo function.

When running this code :

```python
#nhp being my EvokedArray
nhp.plot_topo(ylim = dict(eeg=[ylimin, ylimax]), show=False,legend=False)

```

I get this result :  
 ![pbs](https://global.discourse-cdn.com/free1/uploads/mne/original/2X/7/799faf4f6eff7d12b0ae9fa07fb270f7277acffc.png)

How can I do to show the x and y axis values, as well as adding title for each subplot?  
Tried a lot of things, without any results.

Thanks!

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<div class="post-metadata">

**Author:** ![drammock](https://yyz2.discourse-cdn.com/free1/user_avatar/mne.discourse.group/drammock/32/4_2.png) [@drammock](https://mne.discourse.group/u/drammock)\
**Post date:** [August 2, 2022, 2:07pm UTC](https://mne.discourse.group/t/how-to-show-axis-values-with-evoked-plot-topo/5361/2 "2022-08-02T14:07:35Z")

</div>

that’s currently not supported (or at least, not very easy) with the `plot_topo` method. It has a `legend` parameter, which will add an empty set of axes that have the axis ticks (all the non-empty axes have the same x & y limits), and no way to add individual subplot titles. It was designed for plotting tens or even a hundred sensors at once, when adding all those tick marks and titles would usually be bad / cluttered. In fact, it doesn’t even create separate subplots for each sensor — this effect is simulated to make drawing more efficient.

For your example where there are only 7 axes, I can see why it might be desirable to have them. Try `mne.viz.plot_compare_evokeds` with parameter `axes='topo'` and see how close that gets you. If you’re still unsatisfied, post back here and we’ll try to help some more.