Skip to main content
Mathematica

Return to Question

deleted 124 characters in body
Source Link
J. M.'s missing motivation ♦
J. M.'s missing motivation ♦
  • 125.5k
  • 11
  • 407
  • 581

There are already good approaches for "better than standard" colormaps in MMAMathematica, which are optimized for a more linear perception between the visible colors and their underlying values, here in StackExchange: Is there an easy way to use Matteo Niccoli'sNiccoli's perceptual color maps for 2D plots in Mathematica?

Nevertheless, those considerations can go even further into thinking of Colormapscolormaps that also include linear perception for persons impaired by deuteranopia or protanopia. Also the grayscale-printing can be optimized.

Have a look at:   https://bids.github.io/colormap/this page.

Example: enter image description hereplots with viridis colormap (source: https://bids.github.io/colormap/)

Question:

Far down in the article, there are some hints to generate those maps using Python. How can those maps be generated and used in MMAMathematica? I am particularly interested in "Option D (Viridis)".

What I have tried/found out so far:

On the article's website, I found a pythonPython script including a variable cm_data, which contains apparently RGB-Values values (scaled from 0.0 to 1.0) in a structure like: [[R1,G1,B1],...,[Rn,Bn,Gn]]. I'm not familiar with parsing such a string into a useful List in MMAMathematica.

There are already good approaches for "better than standard" colormaps in MMA, which are optimized for a more linear perception between the visible colors and their underlying values, here in StackExchange: Is there an easy way to use Matteo Niccoli's perceptual color maps for 2D plots in Mathematica?

Nevertheless, those considerations can go even further into thinking of Colormaps that also include linear perception for persons impaired by deuteranopia or protanopia. Also the grayscale-printing can be optimized.

Have a look at: https://bids.github.io/colormap/

Example: enter image description here (source: https://bids.github.io/colormap/)

Question:

Far down in the article, there are some hints to generate those maps using Python. How can those maps be generated and used in MMA? I am particularly interested in "Option D (Viridis)".

What I have tried/found out so far:

On the article's website, I found a python script including a variable cm_data, which contains apparently RGB-Values (scaled from 0.0 to 1.0) in a structure like: [[R1,G1,B1],...,[Rn,Bn,Gn]]. I'm not familiar with parsing such a string into a useful List in MMA.

There are already good approaches for "better than standard" colormaps in Mathematica, which are optimized for a more linear perception between the visible colors and their underlying values, here in StackExchange: Is there an easy way to use Matteo Niccoli's perceptual color maps for 2D plots in Mathematica?

Nevertheless, those considerations can go even further into thinking of colormaps that also include linear perception for persons impaired by deuteranopia or protanopia. Also the grayscale-printing can be optimized.

Have a look at  this page.

Example: plots with viridis colormap

Question:

Far down in the article, there are some hints to generate those maps using Python. How can those maps be generated and used in Mathematica? I am particularly interested in "Option D (Viridis)".

What I have tried/found out so far:

On the article's website, I found a Python script including a variable cm_data, which contains apparently RGB values (scaled from 0.0 to 1.0) in a structure like: [[R1,G1,B1],...,[Rn,Bn,Gn]]. I'm not familiar with parsing such a string into a useful List in Mathematica.

Tweeted twitter.com/StackMma/status/780815144569962496
added 2 characters in body
Source Link
DPF
DPF
  • 1.1k
  • 8
  • 19

There are already good approaches for "better than standard" colormaps in MMA, which are optimized for a more linear perception between the visible colors and their underlying values, here in StackExchange: Is there an easy way to use Matteo Niccoli's perceptual color maps for 2D plots in Mathematica?

Nevertheless, those considerations can go even further into thinking of Colormaps that also include linear perception for persons impaired by deuteranopia or protanopia. Also the grayscale-printing can be optimized.

Have a look at: https://bids.github.io/colormap/

Example: enter image description here (source: https://bids.github.io/colormap/)

Question:

Far down in the article, there are some hints to generate those maps using Python. How can those maps be generated and used in MMA? I am especiallyparticularly interested in "Option D (Viridis)".

What I have tried/found out so far:

On the article's website, I found a python script including a variable cm_data, which contains apparently RGB-Values (scaled from 0.0 to 1.0) in a structure like: [[R1,G1,B1],...,[Rn,Bn,Gn]]. I'm not familiar with parsing such a string into a useful List in MMA.

There are already good approaches for "better than standard" colormaps in MMA, which are optimized for a more linear perception between the visible colors and their underlying values, here in StackExchange: Is there an easy way to use Matteo Niccoli's perceptual color maps for 2D plots in Mathematica?

Nevertheless, those considerations can go even further into thinking of Colormaps that also include linear perception for persons impaired by deuteranopia or protanopia. Also the grayscale-printing can be optimized.

Have a look at: https://bids.github.io/colormap/

Example: enter image description here (source: https://bids.github.io/colormap/)

Question:

Far down in the article, there are some hints to generate those maps using Python. How can those maps be generated and used in MMA? I am especially interested in "Option D (Viridis)".

What I have tried/found out so far:

On the article's website, I found a python script including a variable cm_data, which contains apparently RGB-Values (scaled from 0.0 to 1.0) in a structure like: [[R1,G1,B1],...,[Rn,Bn,Gn]]. I'm not familiar with parsing such a string into a useful List in MMA.

There are already good approaches for "better than standard" colormaps in MMA, which are optimized for a more linear perception between the visible colors and their underlying values, here in StackExchange: Is there an easy way to use Matteo Niccoli's perceptual color maps for 2D plots in Mathematica?

Nevertheless, those considerations can go even further into thinking of Colormaps that also include linear perception for persons impaired by deuteranopia or protanopia. Also the grayscale-printing can be optimized.

Have a look at: https://bids.github.io/colormap/

Example: enter image description here (source: https://bids.github.io/colormap/)

Question:

Far down in the article, there are some hints to generate those maps using Python. How can those maps be generated and used in MMA? I am particularly interested in "Option D (Viridis)".

What I have tried/found out so far:

On the article's website, I found a python script including a variable cm_data, which contains apparently RGB-Values (scaled from 0.0 to 1.0) in a structure like: [[R1,G1,B1],...,[Rn,Bn,Gn]]. I'm not familiar with parsing such a string into a useful List in MMA.

edited title
Link
DPF
DPF
  • 1.1k
  • 8
  • 19

Colormaps for linear visual perception AND grayscale printing

added 373 characters in body
Source Link
DPF
DPF
  • 1.1k
  • 8
  • 19
deleted 119 characters in body
Source Link
DPF
DPF
  • 1.1k
  • 8
  • 19
Source Link
DPF
DPF
  • 1.1k
  • 8
  • 19