-
-
Notifications
You must be signed in to change notification settings - Fork 404
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Better styling defaults #823
Comments
I agree matplotlib 2.0 is a great excuse for us to also improve our defaults. :-) |
I agree as well; mpl 2.0 is the time, and improving consistency with Bokeh would also be great (and is also timely because Bokeh is about to reach 1.0). I'd personally be happy if all of our example notebooks came out reasonably similar between the two backends, after these updates. For that to be meaningful I think we need to update our examples to use non-square aspects a lot more often, so that we notice behavior for long or tall plots better. |
The matplotlib team have just uploaded the default styling changes for 2.0. You can see them here. |
I also think we should start adding concrete suggestions for style changes to this issue. E.g making the default colormap 'fire'? |
I think we should update to mpl 2.0 defaults in general; they look better to me, and they are what new users will get with mpl by default outside of hv. |
I agree. I also favor removing the grid lines by default, and making the default sizes comparable between the two backends. |
I think we've addressed this for the most part. I'm sure there will be more tweaks we want to do so I'll reassign to 2.0. |
I agree! I just want to mention that #1610 was merged as well. |
Our default styling options were largely determined very early on when I fiddled with the matplotlib defaults a little bit and did not go through any detailed discussion. With matplotlib 2.0 (currently in beta) a lot of the default styling will change and I think that's a good time to also rethink some of our defaults. While matplotlib will be our main focus in this redesign, perhaps it's also worth thinking about whether we want our styling to be a bit more consistent between backends. I don't have any detailed suggestions yet but was hoping to kick off some discussion here, so please report what has always annoyed you about our defaults. I know the default matplotlib background color is something I definitely want to change.
The text was updated successfully, but these errors were encountered: