Re: [matplotlib-devel] Better defaults all around?

2014-11-21 Thread Benjamin Root
With regards to defaults for 2.0, I am actually all for breaking them for the better. What I find important is giving users an easy mechanism to use an older style, if it is important to them. The current behavior isn't "buggy" (for the most part) and failing to give users a way to get behavior tha

Re: [matplotlib-devel] Better defaults all around?

2014-11-21 Thread Federico Ariza
I like the idea of aligning a set of changes for 2.0 even if still far away. Regarding to backwards compatibility I think that indeed it is important but when changing mayor version (1.x to 2.0) becomes less important and we must take care of prioritizing evolution. Take for example the OO interf

Re: [matplotlib-devel] Better defaults all around?

2014-11-21 Thread Benjamin Root
Some of your wishes are in progress already: https://github.com/matplotlib/matplotlib/pull/3818 There is also an issue open about scaling the dashes with the line width, and you are right, the spacing for the dashes are terrible. I can definitely see the argument to making a bunch of these visual

[matplotlib-devel] Better defaults all around?

2014-11-21 Thread Nathaniel Smith
Hi all, Since we're considering the possibility of making a matplotlib 2.0 release with a better default colormap, it occurred to me that it might make sense to take this opportunity to improve other visual defaults. Defaults are important. Obviously for publication graphs you'll want to end up t

Re: [matplotlib-devel] Matplotlib's new default colormap

2014-11-21 Thread Eric Firing
On 2014/11/21, 4:42 PM, Nathaniel Smith wrote: > On Fri, Nov 21, 2014 at 5:46 PM, Darren Dale wrote: >> On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson wrote: >>> >>> Please use this thread to discuss the best choice for a new default >>> matplotlib colormap. >>> >>> This follows on from a discussio

Re: [matplotlib-devel] Matplotlib's new default colormap

2014-11-21 Thread Nathaniel Smith
On Fri, Nov 21, 2014 at 5:46 PM, Darren Dale wrote: > On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson wrote: >> >> Please use this thread to discuss the best choice for a new default >> matplotlib colormap. >> >> This follows on from a discussion on the matplotlib-devel mailing list >> entitled "How

Re: [matplotlib-devel] How to move beyond JET as the default matplotlib colormap

2014-11-21 Thread Thomas Caswell
I am a bit wary of doing a 2.0 _just_ to change the color map, but when every I try to write out why, they don't sound convincing. We may end up with a 3.0 within a year or so due to the possible plotting API/pyplot work that is (hopefully) coming. If we are going to do this, I think we should do

Re: [matplotlib-devel] How to move beyond JET as the default matplotlib colormap

2014-11-21 Thread Benjamin Root
As a point of clarification, is this proposed 2.0 release different from the 1.5 release? On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson wrote: > Many of you will be aware of there has been an ongoing issue (#875, > http://goo.gl/xLZvuL) which recommends the removal of Jet as the default > colorma

Re: [matplotlib-devel] Matplotlib's new default colormap

2014-11-21 Thread Darren Dale
On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson wrote: > Please use this thread to discuss the best choice for a new *default* > matplotlib colormap. > > This follows on from a discussion on the matplotlib-devel mailing list > entitled "How to move beyond JET as the default matplotlib colormap". >

[matplotlib-devel] How to move beyond JET as the default matplotlib colormap

2014-11-21 Thread Phil Elson
Many of you will be aware of there has been an ongoing issue (#875, http://goo.gl/xLZvuL) which recommends the removal of Jet as the default colormap in matplotlib. The argument against Jet is compelling and I think that as a group who care about high quality visualisation we should be seriously d

[matplotlib-devel] Matplotlib's new default colormap

2014-11-21 Thread Phil Elson
Please use this thread to discuss the best choice for a new *default* matplotlib colormap. This follows on from a discussion on the matplotlib-devel mailing list entitled "How to move beyond JET as the default matplotlib colormap". It is accepted that there can never be a *best* colormap for *all