Tutorial on perceptual colormaps

Community matplotlib-users
1

Hi All

I recently wrote a tutorial on how to evaluate and compare colormaps using
perceptual principle. It is geared towards Matplotlib.

http://nbviewer.ipython.org/github/mycarta/tutorials/blob/master/1408_Evaluate_and_compare_colormaps/How_to_evaluate_and_compare_colormaps.ipynb

Although I am a newbie and some of my code may be not all that pythonic
yet, I hope you enjoy the read.

Any feedback would be welcome.

THank you
Matteo

2

Hi Matteo,

Thanks for sharing this resource.

Also, I wanted to personally thank you for MyCarta. It's a great
resource and Kristen Thyng and I have learned a lot from it. Kristen
cited you in a talk she gave at SciPy 2014 last month. We both gave
talks at SciPy 2014 about colour maps I think you might find
interesting. They were recorded and put on YouTube by Enthought and
you can check them out
here<https://www.youtube.com/watch?v=Alnc9E1RnD8&gt; and
here<https://www.youtube.com/watch?v=rkDgBvT-giw&gt;\.

I think it would be a good idea to link to your IPython (read Jupyter)
notebook, along with some of the work Kristen as done with matplotlib
colour maps, from the matplotlib web page. Would you be amenable to
this?

All the best,
Damon

···

On Mon, Aug 4, 2014 at 5:20 PM, Matteo Niccoli <matteo@...4556...> wrote:

Hi All

I recently wrote a tutorial on how to evaluate and compare colormaps using
perceptual principle. It is geared towards Matplotlib.

http://nbviewer.ipython.org/github/mycarta/tutorials/blob/master/1408_Evaluate_and_compare_colormaps/How_to_evaluate_and_compare_colormaps.ipynb

Although I am a newbie and some of my code may be not all that pythonic
yet, I hope you enjoy the read.

Any feedback would be welcome.

THank you
Matteo

--
Damon McDougall
http://www.damon-is-a-geek.com
Institute for Computational Engineering Sciences
201 E. 24th St.
Stop C0200
The University of Texas at Austin
Austin, TX 78712-1229

3

Really great material (ipython notebook and videos), thanks a lot to you all.

Are the slides available somewhere by any chance ?

Nicolas

···

On 06 Aug 2014, at 15:25, Damon McDougall <damon.mcdougall@...287...> wrote:

On Mon, Aug 4, 2014 at 5:20 PM, Matteo Niccoli <matteo@...4556...> wrote:

Hi All

I recently wrote a tutorial on how to evaluate and compare colormaps using
perceptual principle. It is geared towards Matplotlib.

http://nbviewer.ipython.org/github/mycarta/tutorials/blob/master/1408_Evaluate_and_compare_colormaps/How_to_evaluate_and_compare_colormaps.ipynb

Although I am a newbie and some of my code may be not all that pythonic
yet, I hope you enjoy the read.

Any feedback would be welcome.

THank you
Matteo

Hi Matteo,

Thanks for sharing this resource.

Also, I wanted to personally thank you for MyCarta. It's a great
resource and Kristen Thyng and I have learned a lot from it. Kristen
cited you in a talk she gave at SciPy 2014 last month. We both gave
talks at SciPy 2014 about colour maps I think you might find
interesting. They were recorded and put on YouTube by Enthought and
you can check them out
here<https://www.youtube.com/watch?v=Alnc9E1RnD8&gt; and
here<https://www.youtube.com/watch?v=rkDgBvT-giw&gt;\.

I think it would be a good idea to link to your IPython (read Jupyter)
notebook, along with some of the work Kristen as done with matplotlib
colour maps, from the matplotlib web page. Would you be amenable to
this?

All the best,
Damon

--
Damon McDougall
http://www.damon-is-a-geek.com
Institute for Computational Engineering Sciences
201 E. 24th St.
Stop C0200
The University of Texas at Austin
Austin, TX 78712-1229

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4

Hi Nicolas

I do not have any slides of this material yet. I will try at some point to
upload them on github, although I'm already working on tutorial part two,
so it may take a while.

In the meantime, I have a set of slides from 2012 when I presented this talk:

Let me know if you're interested and I will upload them on github.

Hi Damon, yes, I did see your talk and Kristen's and I am really excited
there's good momentum on this topic. I will write you later today about
the matplotlib webpage, great idea.

Thanks to both for your feedback.
Matteo

···

On Wed, August 6, 2014 2:05 pm, Nicolas P. Rougier wrote:

Really great material (ipython notebook and videos), thanks a lot to you
all.

Are the slides available somewhere by any chance ?

Nicolas

On 06 Aug 2014, at 15:25, Damon McDougall <damon.mcdougall@...287...> > wrote:

On Mon, Aug 4, 2014 at 5:20 PM, Matteo Niccoli <matteo@...4556...> >> wrote:

Hi All

I recently wrote a tutorial on how to evaluate and compare colormaps
using perceptual principle. It is geared towards Matplotlib.

http://nbviewer.ipython.org/github/mycarta/tutorials/blob/master/1408
_Evaluate_and_compare_colormaps/How_to_evaluate_and_compare_colormaps
.ipynb

Although I am a newbie and some of my code may be not all that
pythonic yet, I hope you enjoy the read.

Any feedback would be welcome.

THank you
Matteo

Hi Matteo,

Thanks for sharing this resource.

Also, I wanted to personally thank you for MyCarta. It's a great
resource and Kristen Thyng and I have learned a lot from it. Kristen
cited you in a talk she gave at SciPy 2014 last month. We both gave
talks at SciPy 2014 about colour maps I think you might find
interesting. They were recorded and put on YouTube by Enthought and you
can check them out here<https://www.youtube.com/watch?v=Alnc9E1RnD8&gt; and
here<https://www.youtube.com/watch?v=rkDgBvT-giw&gt;\.

I think it would be a good idea to link to your IPython (read Jupyter)
notebook, along with some of the work Kristen as done with matplotlib
colour maps, from the matplotlib web page. Would you be amenable to
this?

All the best,
Damon

--
Damon McDougall
http://www.damon-is-a-geek.com
Institute for Computational Engineering Sciences
201 E. 24th St.
Stop C0200
The University of Texas at Austin
Austin, TX 78712-1229

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Infragistics Professional
Build stunning WinForms apps today!
Reboot your WinForms applications with our WinForms controls.
Build a bridge from your legacy apps to the future.
http://pubads.g.doubleclick.net/gampad/clk?id=153845071&iu=/4140/ostg.cl
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