Dan Foreman-Mackey

This is not supported and I'm not sure of the use case, but please feel free to hack on it if you're interested!

There is no built in feature for this, but I bet you could follow the [custom plotting tutorial](https://corner.readthedocs.io/en/latest/pages/custom.html) to extract the relevant axes and clear them manually.

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

Thanks for this. We definitely don't test for the 1-D case, but it would be good to support it. If anyone feels up to it, please write a test and...

I think that the whole "title" interface could probably be revamped to be more publication-ready (see also #94). I mostly use the titles for debugging so I haven't been strongly...

This is possible. You can use a combination of the `color` and `fig` kwargs. ``` fig = corner.corner(samps1, color="k") corner.corner(samps2, color="g", fig=fig) ```

Can you post a figure showing your issue? You might need to use something like `data_kwargs=dict(ms=10)` for the red plot.

Yeah. That feature isn't currently supported so you'll have to reverse engineer the axis locations. You can probably do something like: ``` axes = np.reshape(fig.axes, (ndim, ndim)) ``` To get...

Hi! This isn't currently supported, but I've added a tutorial that you could follow to make custom truths plots: https://github.com/dfm/corner.py/blob/master/docs/_static/notebooks/custom.ipynb Hope that helps!

There isn't any reason why this should be caused by corner. Are you sure that you can use matplotlib with these settings otherwise?