Using the colormap package

You can use the class Colormap as shown below
You can use the cmap_builder function and test_cmap function as well (see end of notebook)



In [1]:

    
%pylab inline
from colormap import Colormap









    



Populating the interactive namespace from numpy and matplotlib



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c = Colormap()



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cmap = c.cmap('cool')



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# let us see what it looks like
c.test_colormap(cmap)



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#Would be nice to plot a bunch of colormap to pick up one interesting
c.plot_colormap('diverging')



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c.plot_colormap(c.misc)



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c.plot_colormap(c.qualitative)



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c.plot_colormap(c.sequentials)



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c.plot_colormap(c.sequentials2)



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# This list is implemented in colormap package itself
c.plot_colormap(c.diverging_black)

Well, I have not found the one I wanted...I wanted from red to white to green



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mycmap = c.cmap_linear('red', 'white', 'green(w3c)')
c.test_colormap(mycmap)



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mycmap = c.cmap_bicolor('red', 'green(w3c)')
c.test_colormap(mycmap)



In [13]:

    
# there is also 2 extra maps from R
mycmap = c.get_cmap_heat()
c.test_colormap(mycmap)



In [18]:

    
# color can be given a a name available in 
import colormap.xfree86 as colors



In [20]:

    
list(colors.XFree86_colors.keys())[0:5]









    Out[20]:





['Light Sea Green', 'Pale Turquoise', 'White Smoke', 'Tomato', 'Rosy Brown']



In [22]:

    
#or 
list(colors.XFree86_colors.values())[0:5]









    Out[22]:





['#20B2AA', '#AFEEEE', '#F5F5F5', '#FF6347', '#BC8F8F']



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# or as RGB, HLS, HSV, YUX, Hexa format
from colormap import Color



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co = Color('white')



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co.hex









    Out[25]:





'#FFFFFF'



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mycmap = c.cmap_linear('red', '#FFFFFF', 'green(w3c)')
c.test_colormap(mycmap)



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# Conversion between colors
c = Color('red')
c.rgb









    Out[27]:





(1.0, 0.0, 0.0)



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c.hls









    Out[28]:





(0.0, 0.5, 1.0)



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c.hex









    Out[29]:





'#FF0000'



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print(c)









    



Color Red
  hexa code: #FF0000
  RGB code: (1.0, 0.0, 0.0)
  RGB code (un-normalised): [255.0, 0.0, 0.0]

  HSV code: (0.0, 1.0, 1.0)
  HSV code: (un-normalised) 0.0 100.0 100.0

  HLS code: (0.0, 0.5, 1.0)
  HLS code: (un-normalised) 0.0 50.0 100.0

Using cma_builder and test_cmap

Instead of using the Colormap class, you can also use the cmap_builder alias function andthe test_cmap function



In [31]:

    
from colormap import cmap_builder, test_cmap



In [26]:

    
mycm = cmap_builder('red', 'white', 'green')
test_cmap(mycm)



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