In [1]:

    

from ahh import vis


    

In [2]:

    

vis.get_color_list('Reds') # get list of RGB tuples from a designated cmap


    

    
Out[2]:





[(1.0, 0.96078431372549022, 0.94117647058823528),
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 (0.51833910034602082, 0.02768166089965398, 0.065743944636678181),
 (0.51071126489811614, 0.025836216839677045, 0.064759707804690494),
 (0.50308342945021145, 0.023990772779700117, 0.063775470972702794),
 (0.49545559400230682, 0.022145328719723183, 0.062791234140715108),
 (0.48782775855440241, 0.020299884659746303, 0.061806997308727435),
 (0.48019992310649751, 0.01845444059976932, 0.060822760476739707),
 (0.47257208765859288, 0.016608996539792385, 0.059838523644752006),
 (0.46494425221068825, 0.014763552479815457, 0.058854286812764313),
 (0.45731641676278356, 0.012918108419838523, 0.057870049980776619),
 (0.44968858131487888, 0.011072664359861595, 0.056885813148788919),
 (0.44206074586697425, 0.00922722029988466, 0.055901576316801219),
 (0.43443291041906962, 0.0073817762399077252, 0.054917339484813525),
 (0.42680507497116493, 0.0055363321799307974, 0.053933102652825832),
 (0.4191772395232603, 0.0036908881199538626, 0.052948865820838131),
 (0.41154940407535567, 0.0018454440599769348, 0.051964628988850431),
 (0.40392156862745099, 0.0, 0.050980392156862737)]

In [3]:

    

vis.get_color_list('cmp_flux', hexcodes=True) # get list of hexcodes from a designated cmap (can be NCL cmaps too!)


    

    
Out[3]:





['#00fdfd',
 '#08defd',
 '#10bdfd',
 '#189dfd',
 '#207dfd',
 '#285dfd',
 '#303dfd',
 '#5555fd',
 '#8585fd',
 '#b5b5fd',
 '#e5e5fd',
 '#fde5e5',
 '#fdb5b5',
 '#fd8585',
 '#fd5555',
 '#fd3d30',
 '#fd5d28',
 '#fd7d20',
 '#fd9d18',
 '#fdbd10',
 '#fde008',
 '#fdfd00']

In [4]:

    

cmap = vis.get_cmap('RdBu_r')
type(cmap)
vis.get_color_list(cmap) # can also perform on an actual cmap


    

    
Out[4]:





matplotlib.colors.LinearSegmentedColormap






    
Out[4]:





[(0.019607843137254902, 0.18823529411764706, 0.38039215686274508),
 (0.14422657952069717, 0.41960784313725491, 0.6845315904139434),
 (0.33159041394335503, 0.62004357298474944, 0.78823529411764692),
 (0.65490196078431362, 0.81437908496732025, 0.89411764705882346),
 (0.88583877995642701, 0.92941176470588238, 0.95337690631808281),
 (0.98169934640522871, 0.90762527233115464, 0.8640522875816995),
 (0.96862745098039227, 0.71764705882352964, 0.60000000000000031),
 (0.86535947712418315, 0.43660130718954282, 0.34814814814814837),
 (0.71372549019607834, 0.12549019607843134, 0.18344226579520698),
 (0.40392156862745099, 0.0, 0.12156862745098039)]

In [ ]: