sunset has a connotation of things ending. Howabout sunrise?
On Sun, Apr 5, 2015 at 5:18 PM, Olga Botvinnik obotv...@ucsd.edu wrote:
How about pythonic sunset ?
On Sun, Apr 5, 2015 at 2:01 PM Benjamin Root ben.r...@ou.edu wrote:
That is nice. The blue is a bit heavy, but that might be my
That is nice. The blue is a bit heavy, but that might be my display. Now,
how should we order it by default? I am used to thinking of blues as lower
values, and reds as higher. The yellow at the end throws me off a bit,
because I would think of it as a weaker color. Maybe if it was more
gold-like?
How about pythonic sunset ?
On Sun, Apr 5, 2015 at 2:01 PM Benjamin Root ben.r...@ou.edu wrote:
That is nice. The blue is a bit heavy, but that might be my display. Now,
how should we order it by default? I am used to thinking of blues as lower
values, and reds as higher. The yellow at the
I like it, but perhaps we should condense it to one word for ease of
typing, how about Redgauntlet? It kind of feels appropriate (for
those who need an explanation of why, see
https://www.youtube.com/watch?v=_guKhYVr5vA).
On the colormap itself, it looks good apart from the fade into blue,
Just wondering whether anyone has suggested checking candidate colormaps
against typical printer color gamuts?
On 6 Apr 2015 1:11 pm, Eric Firing efir...@hawaii.edu wrote:
On 2015/04/04 10:10 PM, Nathaniel Smith wrote:
We'd welcome any feedback from readers with non-simulated color
On Apr 5, 2015 8:29 PM, gary ruben gary.ru...@gmail.com wrote:
Just wondering whether anyone has suggested checking candidate colormaps
against typical printer color gamuts?
How would you go about doing this in practice? Is it even possible to
choose a subset of sRGB space and have printers
problems as well.
Eric
Forwarded Message
Subject: Re: [matplotlib-devel] release strategy and the color revolution
Date: Sun, 5 Apr 2015 00:20:03 -0700
From: Nathaniel Smith n...@pobox.com
To: Eric Firing efir...@hawaii.edu
CC: Michael Waskom mwas...@stanford.edu
On Mon, Feb 23, 2015 at 10:46 AM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/18 2:39 PM, Nathaniel Smith wrote:
On Feb 16, 2015 3:39 PM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/16 1:29 PM, Michael Waskom wrote:
Nathaniel's January 9 message in that thread (can't figure out
On Sun, Apr 5, 2015 at 12:46 AM, Eric Firing efir...@hawaii.edu wrote:
On 2015/04/04 9:20 PM, Nathaniel Smith wrote:
While it's taking longer than hoped, just to reassure you that this
isn't total vaporware, here's a screenshot from the colormap designer
that Stéfan van der Walt and I have
On 2015/04/04 9:20 PM, Nathaniel Smith wrote:
While it's taking longer than hoped, just to reassure you that this
isn't total vaporware, here's a screenshot from the colormap designer
that Stéfan van der Walt and I have been working on... still needs
fine-tuning (which at this point probably
3 3 3 Love the prototype colormap!!!--
Dive into the World of Parallel Programming The Go Parallel Website, sponsored
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things parallel software
I have opened a PR to document this discussion. It is meant to provide a
permanent record of the thought process leading up to color map and to
serve as a tool in making the finial decision.
https://github.com/matplotlib/matplotlib/pull/4238
On Mon, Mar 2, 2015 at 6:32 AM jni jni.s...@gmail.com
Hi,
Le 01/03/2015 23:27, jni a écrit :
As someone working with images, I think for displaying images you want a
colormap that spans as much as possible of the luminance range. The colormap
suggested by Michael Waskom would be quite perfect as-is. (recap: middle
colormap here:
Hi Pierre,
Could you please elaborate a bit on this
usecase. I was thinking, naively, that when plotting a grayscale image,
one would simply used a gray colormap.
Using a colormap with hue and saturation gives you better contrast than
pure grayscale. For natural images, that is, photographs
Hi everyone,
As someone working with images, I think for displaying images you want a
colormap that spans as much as possible of the luminance range. The colormap
suggested by Michael Waskom would be quite perfect as-is. (recap: middle
colormap here:
On Feb 19, 2015 1:39 AM, Nathaniel Smith n...@pobox.com wrote:
On Feb 16, 2015 3:39 PM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/16 1:29 PM, Michael Waskom wrote:
Nathaniel's January 9 message in that thread (can't figure out how to
link to it in the archives) had a
Well, since we are thinking of it... What about prettyplotlib's style? I am
not sure I want to completely steal either project's style as it is their
own look-n-feel (and there are some aspects of their styles I don't quite
like, but I am something of a luddite...). But I would certainly be
On 2015/02/18 2:39 PM, Nathaniel Smith wrote:
On Feb 16, 2015 3:39 PM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/16 1:29 PM, Michael Waskom wrote:
Nathaniel's January 9 message in that thread (can't figure out how to
link to it in the archives) had a suggestion that I thought was very
Hi,
Le 16/02/2015 23:01, Eric Firing a écrit :
For a long time there has been discussion of replacing the matplotlib
default color map [...]
I've started building a small interactive Lab point editor to build a
sequential colormap.
https://github.com/pierre-haessig/lab-colormap-creator
The
Interesting choices, and I think we are on the right paths (no pun
intended) through the two possible colors. However, I think the same
problem arises that I noted before. Both ends of the colormap are nearly
black to nearly white. IIRC, our perception of luminosity has a much
greater range than
On 2015/02/23 8:16 AM, Benjamin Root wrote:
Interesting choices, and I think we are on the right paths (no pun
intended) through the two possible colors. However, I think the same
problem arises that I noted before. Both ends of the colormap are nearly
black to nearly white. IIRC, our
My eyes are definitely favoring the L20-80 over the L5-95 colormaps. Does
Luminosity take into account human's non-linearity in perceiving
brightness? I remember a few years ago many of the open-source graphics
tools (such as GIMP) had to be fixed because it assumed a linear brightness
perception.
Cool! I knew there had been some useful tools posted on the earlier thread
but didn't have time to dig them out.
Interesting observation about the colorfulness. I don't know enough about
all the transformations involved to full account for that, but I added some
stuff to the notebook to figure
I've made a second notebook that uses the IPython interactive machinery to
let anyone play with the parameters and explore different ways of setting
them. you can download the notebook with that here:
http://nbviewer.ipython.org/gist/mwaskom/842d1497b6892d081bfb (I made it
using IPython 3.0rc1;
The problem I have with hcl is that while it is technically colorful (or
whatever the term may be), only the reds really come out because the other
colors are only used when either really light or really dark. Perhaps
squashing the brightness range a bit and let the natural lightness of
yellow
On 2015/02/18 6:31 AM, Benjamin Root wrote:
The problem I have with hcl is that while it is technically colorful
(or whatever the term may be), only the reds really come out because the
other colors are only used when either really light or really dark.
Perhaps squashing the brightness range a
On Wed, Feb 18, 2015 at 4:42 PM, Olga Botvinnik obotv...@ucsd.edu wrote:
FYI the notebook isn't working for me in IPython 2.2.0
Oops, sorry.
I agree with Michael's sentiment that from a marketing perspective, a
matplotlib-only colormap is advantageous to maintain a consistent brand.
Just
On 2015/02/18 2:39 PM, Nathaniel Smith wrote:
On Feb 16, 2015 3:39 PM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/16 1:29 PM, Michael Waskom wrote:
Nathaniel's January 9 message in that thread (can't figure out how to
link to it in the archives) had a suggestion that I thought was very
FYI the notebook isn't working for me in IPython 2.2.0
I agree with Michael's sentiment that from a marketing perspective, a
matplotlib-only colormap is advantageous to maintain a consistent brand.
Will these colormaps also be used for non-imshow/colormesh/pcolormesh data,
as in for line colors
@Nathaniel I think developing the color-overhaul as a maintenance release
is a decent compromise. All non-color changes get directed at the master
branch and we can cherry-picked back bug-fixes as needed.
The next feature release is planned for July/August, I _really_ hope
sorting out the colors
On Wed, Feb 18, 2015 at 5:23 PM, Eric Firing efir...@hawaii.edu wrote:
Do you think there is a way to make a sequential map that is more pleasing
to those of us who are more comfortable with blues and greens than with the
slightly muddy purples and browns in the initial attempt at HCL?
Just
On 2015/02/18 2:42 PM, Olga Botvinnik wrote:
FYI the notebook isn't working for me in IPython 2.2.0
I agree with Michael's sentiment that from a marketing perspective, a
matplotlib-only colormap is advantageous to maintain a consistent brand.
Provided we can find a good colormap for that
On Feb 16, 2015 3:39 PM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/16 1:29 PM, Michael Waskom wrote:
Nathaniel's January 9 message in that thread (can't figure out how to
link to it in the archives) had a suggestion that I thought was very
promising, to do something similar to
Hey Olga,
On Tue, Feb 17, 2015 at 6:24 PM, Olga Botvinnik obotv...@ucsd.edu wrote:
Out of curiosity, what are the advantages of the HCL colormap over YlGnBu
for continuous values? I'm biased towards YlGnBu because green is my
favorite color and want to know what makes HCL objectively better
Out of curiosity, what are the advantages of the HCL colormap over YlGnBu
for continuous values? I'm biased towards YlGnBu because green is my
favorite color and want to know what makes HCL objectively better for
perceiving values.
I added YlGnBu_r versions of those plots just below yours:
For a long time there has been discussion of replacing the matplotlib
default color map and color cycle, but we still haven't done it. We need
a clear set of criteria, and a small set of good alternatives, leading
to a decision, a PR, and a release. Now is the time.
Here is what I think is
There are several cycles in seaborn. Is it safe to assume that you mean the
'deep' palette?
On Mon, Feb 16, 2015 at 14:40 Eric Firing efir...@hawaii.edu wrote:
On 2015/02/16 12:01 PM, Eric Firing wrote:
Proposals for the new color cycle for line plots?
Here is a proposal: we simply adopt
On Mon, Feb 16, 2015 at 3:15 PM, Eric Firing efir...@hawaii.edu wrote:
Does anyone have a suggestion for a colorblind-friendly cycle? Maybe
omit the green and tack a gray on the end? I haven't checked, so I
don't know if this would work well.
Here are two palettes that are optimized for
On Mon, Feb 16, 2015 at 3:19 PM, Michael Waskom mwas...@stanford.edu
wrote:
Here are two palettes that are optimized for colorblindness
actually I should say I have no idea if those are optimal, but the
simulations do suggest they work well.
On Mon, Feb 16, 2015 at 2:01 PM, Eric Firing efir...@hawaii.edu wrote:
Here is what I think is the most recent extensive thread:
http://comments.gmane.org/gmane.comp.python.matplotlib.devel/13122
...
1) A greyscale has been proposed; it satisfies several of the criteria
very well, but
See [here](http://nbviewer.ipython.org/gist/mwaskom/6a43a3b94eca4a9e2e8b)
for a quick and dirty implementation that should get a general idea. This
probably ins't the best way to do it -- anyone should feel free to build on
this.
On Mon, Feb 16, 2015 at 3:38 PM, Eric Firing efir...@hawaii.edu
On 2015/02/16 12:42 PM, Paul Hobson wrote:
There are several cycles in seaborn. Is it safe to assume that you mean
the 'deep' palette?
Yes, in the sense that when I wrote the message I was just looking at
seaborn's tutorial showing the default, which is 'deep'--but I didn't
know it then.
A
On 2015/02/16 1:19 PM, Michael Waskom wrote:
Here are two palettes that are optimized for colorblindness:
http://www.cookbook-r.com/Graphs/Colors_%28ggplot2%29/#a-colorblind-friendly-palette
Strange--they have both red and green, so I would never have expected
them to work. The yellow looks
On 2015/02/16 1:29 PM, Michael Waskom wrote:
Nathaniel's January 9 message in that thread (can't figure out how to
link to it in the archives) had a suggestion that I thought was very
promising, to do something similar to Parula but rotate around the hue
circle the other direction so that the
It's helped by pulling the green towards blue and the red towards yellow,
but they are probably the hardest to distinguish in the set.
Which emphasizes that, while it's good to start with a colorblind-friendly
set of colors, the person making the figure also has the responsibility to
choose how
On 2015/02/16 12:01 PM, Eric Firing wrote:
Proposals for the new color cycle for line plots?
Here is a proposal: we simply adopt seaborn's cycle.
Eric
--
Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT
Do remember that I have a PR to add linestyle cycling, which would greatly
mitigate problems for colorblindness and non-color publications.
I also prefer it for slideshows as projectors at conferences tend to have
crappy colors anyway (was at a radar conference when the projector's red
crapped
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