bigger axis labels

[davidwhogg]

When the plot gets huge, the labels get (relatively) small. This should either be fixed, or given an option=True to fix it at user's discretion.

[dfm]

I don't think that you actually want this. Just so that we're clear: the label size is fixed so when you look at it at 100% zoom the labels are big and legible. If we made the labels scale with figure size, there wouldn't be space for any labels once the plots get bigger than 5 or 6 columns and I generally use even more than that in development. The whole point of the triangle plot is that it gets bigger as you add more columns so that you can zoom in to the big figures and scroll through it that way.

That being said, maybe I don't understand your complaint. Can you point me to a specific example? Also, I might accept a pull request if it doesn't suck 😄

[davidwhogg]

My objections include

1. yes, but the mere fact that a user shouldn't want this doesn't mean that we shouldn't provide.
2. what if you want to put a 8x8 triangle into a journal publication?
   Catch my meaning? I will look into the pull request...

[dfm]

This is now possible by providing label_kwargs=dict(fontsize=...)

[pug18]

Hey dfm,
something similar. The Axes Labels overlab with the tick numbers of my 6 *6 Parameter Corner plot.
My Approach to fix this was

import matplotlib as mpl
mpl.rcParam["axes.labelpad"] = 20

but that only changes the distance of the title over the diagonal which is not what I want...

Is there a solutrion to it?

Jan

[justinfinke]

Hi,

I'd like to do something similar to this, change the font size of the tick labels (i.e., the numbers). This is something unfortunately insisted on by a referee. Is it possible to change this?

Thanks!

Justin

[fkoehlin]

Hi Justin,

I've just run into the same issue and found the following workaround:

fig = corner.corner(...)
# for control of labelsize of x,y-ticks:
for ax in fig.get_axes():
      #ax.tick_params(axis='both', which='major', labelsize=14)
      #ax.tick_params(axis='both', which='minor', labelsize=12)    
      ax.tick_params(axis='both', labelsize=14)

Cheers,

Fabian