On Thu, Jan 8, 2015 at 10:30 PM, Maximilian Albert
maximilian.alb...@gmail.com wrote:
Hi Nathaniel,
Basically, it allows you to pick the start/end color of a colormap from
two
cross sections in CIELab space and interpolates those colors linearly
(see
the README file for more details).
Hi Federico,
Thanks for trying it out and for the feedback!
Indeed, I started out writing a simple IPython notebook along the lines you
suggested, with just a couple of sliders and plots, but it quickly became
too slow and unwieldy for quick explorations, hence the slightly more
elaborate GUI.
Nice job.
I find your GUI a little bit confusing (new to colormap stuff) but I
like the idea, basically I find it overkill, I would replace the gui
by a plot and a couple of slider widgets something simpler to
integrate without new dependencies.
Do you really need the third 3d plot on the right?
On Tue, Jan 6, 2015 at 2:37 AM, Maximilian Albert
maximilian.alb...@gmail.com wrote:
Happy new year everyone!
Apologies for the long silence. I was snowed in with work before Christmas
and then mostly cut off from the internet for the past two weeks.
Fortunately, I had a chance over the
Happy new year everyone!
Apologies for the long silence. I was snowed in with work before Christmas
and then mostly cut off from the internet for the past two weeks.
Fortunately, I had a chance over the holidays to flesh out the GUI which I
mentioned in my previous email. You can find it here:
Neat stuff! Just a quick note about the 3D plot. By default, the scatter
markers are shaded to give an illusion of depth. This is often what we
want, but I think in this case, it might make sense to not do that. Add
depthshade=False to the scatter call to turn it off. I think that was added
for
Thanks for all the contributions so far. Looks like matplotlib is blessed
with people who are far more knowledgeable than I on the subject, and I'd
say we were pretty much at a consensus on requirements.
Given these requirements, what we need is some proposed colormaps - Max's
approach of
P.S. I just found
http://davidjohnstone.net/pages/lch-lab-colour-gradient-picker
On 22 December 2014 at 11:21, Phil Elson pelson@gmail.com wrote:
Thanks for all the contributions so far. Looks like matplotlib is blessed
with people who are far more knowledgeable than I on the subject, and
Hi all,
I had a discussion with Phil Elson about this last weekend during the
Bloomberg Open Source Day. I don't consider myself an expert on colormaps
by any means, but I started digging into them a while ago when I was
looking for a way of generating a perceptually linear *cyclic* colormap in
Hi all,
I was made aware of this thread and thought I’d share a notebook I recently
made for a similar purpose:
http://nbviewer.ipython.org/gist/krischer/d35096a9d3b6da5846a5
http://nbviewer.ipython.org/gist/krischer/d35096a9d3b6da5846a5 (takes a while
to load…)
It attempts to “optimize
I, for one, would love to see a pull request for this if you're game.
Mike
On 11/24/2014 04:27 AM, Lion Krischer wrote:
Hi all,
I was made aware of this thread and thought I’d share a notebook I
recently made for a similar purpose:
That is super cool. I was thinking about doing something similar, glad it
has already been so well done.
The example figures at the bottom bring up another point, we should have a
canonical set of test figures, both for the color map and the defaults in
general, I think that will really help
There was a talk by Kristen Thyng at scipy2014 that might be a good
backgrounder for this:
http://pyvideo.org/video/2769/perceptions-of-matplotlib-colormaps
At the end she references this site http://mycarta.wordpress.com/ of Matteo
Niccoli which is full of good content. I wonder if it's worth
The contents of that talk are also in our documentation
http://matplotlib.org/users/colormaps.html
Tom
On Sat Nov 22 2014 at 9:33:11 AM gary ruben gary.ru...@gmail.com wrote:
There was a talk by Kristen Thyng at scipy2014 that might be a good
backgrounder for this:
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*
On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson pelson@gmail.com 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
On Fri, Nov 21, 2014 at 5:46 PM, Darren Dale dsdal...@gmail.com wrote:
On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson pelson@gmail.com 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
On 2014/11/21, 4:42 PM, Nathaniel Smith wrote:
On Fri, Nov 21, 2014 at 5:46 PM, Darren Dale dsdal...@gmail.com wrote:
On Fri, Nov 21, 2014 at 12:32 PM, Phil Elson pelson@gmail.com wrote:
Please use this thread to discuss the best choice for a new default
matplotlib colormap.
This
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