dfm
Remove the 1D histograms
I just want the confidence level plot, and hence I am trying to remove the 1D histograms using corner.corner().
Unfortunately I could not do it yet. Can it be done by simply changing any argument?
Thanks in advance.
There is no built in feature for this, but I bet you could follow the custom plotting tutorial to extract the relevant axes and clear them manually.
Stumbled upon this thread as I was trying to do the same thing. I managed it in the end like so:
axes = np.array(fig.axes).reshape((ndim, ndim))
for a in axes[np.triu_indices(ndim)]:
a.remove()
Just thought I'd share in case that's useful @rustomB .
For anyone who has stumbled upon this thread, you can add bbox_inches='tight' to your plt.savefig() to remove the white padding that's left after removing the axes. Keep in mind that newer versions of matplotlib might require bbox_inches=0.
