Hi all,
While working on this IPython Notebook http://nbviewer.ipython.org/github/empet/Math/blob/master/DomainColoring.ipynb
I wanted to compare the visual images of the same complex-valued function generated by the classical domain coloring method, using HSV, respectively HSL color model.
Unfortunately there is no matplotlib.colors.hsl_to_rgb(array) function, only colorsys.hsl_to_rgb(h,s,l). The latter acts on each pixel and is time consuming.
My question is, there is a special reason for which hsl_to_rgb is not implemented in matplotlib.colors for arrays?
I also looked in skimage.color http://scikit-image.org/docs/dev/api/skimage.color.html and couldn’t find such a function.
Is there a package containing such a conversion?
Thank you!
Em
http://2sn.org/python3/color.py
···
On 30 March 2014 07:27, Emilia Petrisor <emilia.petrisor@...287...> wrote:
Hi all,
While working on this IPython Notebook
http://nbviewer.ipython.org/github/empet/Math/blob/master/DomainColoring.ipynb
I wanted to compare the visual images of the same complex-valued function
generated by the classical domain coloring method, using HSV, respectively
HSL color model.
Unfortunately there is no matplotlib.colors.hsl_to_rgb(array) function,
only colorsys.hsl_to_rgb(h,s,l). The latter acts on each pixel and is time
consuming.
My question is, there is a special reason for which hsl_to_rgb is not
implemented in matplotlib.colors for arrays?
I also looked in skimage.color
skimage.color — skimage 0.23.0rc0.dev0 documentation and couldn't find
such a function.
Is there a package containing such a conversion?
Thank you!
Em
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