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Hello. What I understand is that you want to put "Potential in $V$" as your colorbar legend (?). I have a little complicated form, but I think it will help you. Let me give you an example smaller than your plot:

var('y')
p = contour_plot(x^2+y^2,(x,-1,1), (y,-1,1), cmap=colormaps.jet, colorbar=True)

Now you have stored you contour plot inside the variable p. This variable actually is a list of plots (in this case, it just contains your single plot in p[0], but if you were to make something like p+=plot(x^2), then this second graphic would be stores in p[1], and so on). Let's separate your plot in another variable; you do this with:

plt = p[0]

Now you can access all the options of your plot. For example, if you type:

opt = plt.options()
print(opt)

you will see there is a part labeled "colorbar_options"; if you don't see it, you can just replace the last line with

opt['colorbar_options']

This is a Python list. We will add a field called "label" which will be the label of your colorbar. in this case:

opt['colorbar_options']['label'] = 'Potential in $V$'

That's it. Now you have to do the same steps backwards to apply the new options:

plt.set_options(opt)
p[0] = plt

Finally, you plot it:

p.show()

I'm sorry I didn't find another easier way to do this. However, you can wrap this code in a function (if you can't do it, let me know so I can send it to you). If I find another way, I'll write it.

I hope this helps!

Hello. What I understand is that you want to put "Potential in $V$" as your colorbar legend (?). I have a little complicated form, but I think it will help you. Let me give you an example smaller than your plot:

var('y')
p = contour_plot(x^2+y^2,(x,-1,1), (y,-1,1), cmap=colormaps.jet, colorbar=True)

Now you have stored you contour plot inside the variable p. This variable actually is a list of plots (in this case, it just contains your single plot in p[0], but if you were to make something like p+=plot(x^2), then this second graphic would be stores in p[1], and so on). Let's separate your plot in another variable; you do this with:

plt = p[0]

Now you can access all the options of your plot. For example, if you type:

opt = plt.options()
print(opt)

you will see there is a part labeled "colorbar_options"; if you don't see it, you can just replace the last line with

opt['colorbar_options']

This is a Python list. We will add a field called "label" which will be the label of your colorbar. in this case:

opt['colorbar_options']['label'] = 'Potential in $V$'

That's it. Now you have to do the same steps backwards to apply the new options:

plt.set_options(opt)
p[0] = plt

Finally, you plot it:

p.show()

The result should be like this:

You can also check the whole code in this Sage Cell page: Contour plot with labelled colorbar

I'm sorry I didn't find another easier way to do this. However, you can wrap this code in a function (if you can't do it, let me know so I can send it to you). If I find another way, I'll write it.

I hope this helps!

Hello. What I understand is that you want to put "Potential in $V$" as your colorbar legend (?). I have a little complicated form, but I think it will help you. Let me give you an example smaller than your plot:

var('y')
p = contour_plot(x^2+y^2,(x,-1,1), (y,-1,1), cmap=colormaps.jet, colorbar=True)

Now you have stored you contour plot inside the variable p. This variable actually is a list of plots (in this case, it just contains your single plot in p[0], but if you were to make something like p+=plot(x^2), then this second graphic would be stores in p[1], and so on). Let's separate your plot in another variable; you do this with:

plt = p[0]

Now you can access all the options of your plot. For example, if you type:

opt = plt.options()
print(opt)

you will see there is a part labeled "colorbar_options"; if you don't see it, you can just replace the last line with

opt['colorbar_options']

This is a Python list. dict. We will add a field called "label" which will be the label of your colorbar. in In this case:

opt['colorbar_options']['label'] = 'Potential in $V$'

That's it. Now you have to do the same steps backwards to apply the new options:

plt.set_options(opt)
p[0] = plt

Finally, you plot it:

p.show()

The result should be like this:

You can also check the whole code in this Sage Cell page: Contour plot with labelled colorbar

I'm sorry I didn't find another easier way to do this. However, you can wrap this code in a function (if you can't do it, let me know so I can send it to you). If I find another way, I'll write it.

I hope this helps!