Produce log axis corner plots about corner.py HOT 6 OPEN

Hi,

I have implemented log-scaled axes.

import numpy as np
import matplotlib.pyplot as plt
import corner

cov = np.array([[ 0.1, 0.04, 0.06,],
                [0.04,  0.1, 0.06,],
                [0.06, 0.06,  0.1]])
mu  = np.array([1, 1.5, 2])

x = 10**(np.random.multivariate_normal(mu, cov, size=10000))
corner.corner(x, axes_scale='log')

If there's interest, I'd be willing to tidy up the code, work on the tests, and submit a pull request. Please let me know if that is the case.

from corner.py.

Hi !

Is that implemented yet ? I am also interested to use logscale for the axis .
If we provide bin edges and not just only the number of bins, it should work right ?

from corner.py.

This isn't possible currently. Your best bet is to take the log of your samples and label the axis log(x).

from corner.py.

@castillohair -- there's definitely interest from me; please do post a gist or a diff at least!

Having had a very brief look at this, it is a bit of work: you can't just change the axes mode as the surface and contours drawn are wrong. Your help would be rather welcome!

from corner.py.

@castillohair Did you ever get to submitting a PR? Thanks! cc @dfm

from corner.py.

I just submitted a pull request with the code I made a while ago. It may need some tidying up to work with the last version but I'm going to wait for comments from @dfm before dedicating time to it. In the meantime, feel free to use it or my branch at https://github.com/castillohair/corner.py/tree/log-scale.

from corner.py.