# Copied from # https://github.com/plotly/plotly.js/blob/master/src/components/colorscale/scales.js _plotlyjs_scales = { "Greys": [[0, "rgb(0,0,0)"], [1, "rgb(255,255,255)"]], "YlGnBu": [ [0, "rgb(8,29,88)"], [0.125, "rgb(37,52,148)"], [0.25, "rgb(34,94,168)"], [0.375, "rgb(29,145,192)"], [0.5, "rgb(65,182,196)"], [0.625, "rgb(127,205,187)"], [0.75, "rgb(199,233,180)"], [0.875, "rgb(237,248,217)"], [1, "rgb(255,255,217)"], ], "Greens": [ [0, "rgb(0,68,27)"], [0.125, "rgb(0,109,44)"], [0.25, "rgb(35,139,69)"], [0.375, "rgb(65,171,93)"], [0.5, "rgb(116,196,118)"], [0.625, "rgb(161,217,155)"], [0.75, "rgb(199,233,192)"], [0.875, "rgb(229,245,224)"], [1, "rgb(247,252,245)"], ], "YlOrRd": [ [0, "rgb(128,0,38)"], [0.125, "rgb(189,0,38)"], [0.25, "rgb(227,26,28)"], [0.375, "rgb(252,78,42)"], [0.5, "rgb(253,141,60)"], [0.625, "rgb(254,178,76)"], [0.75, "rgb(254,217,118)"], [0.875, "rgb(255,237,160)"], [1, "rgb(255,255,204)"], ], "Bluered": [[0, "rgb(0,0,255)"], [1, "rgb(255,0,0)"]], # modified RdBu based on # http:#www.kennethmoreland.com/color-maps/ "RdBu": [ [0, "rgb(5,10,172)"], [0.35, "rgb(106,137,247)"], [0.5, "rgb(190,190,190)"], [0.6, "rgb(220,170,132)"], [0.7, "rgb(230,145,90)"], [1, "rgb(178,10,28)"], ], # Scale for non-negative numeric values "Reds": [ [0, "rgb(220,220,220)"], [0.2, "rgb(245,195,157)"], [0.4, "rgb(245,160,105)"], [1, "rgb(178,10,28)"], ], # Scale for non-positive numeric values "Blues": [ [0, "rgb(5,10,172)"], [0.35, "rgb(40,60,190)"], [0.5, "rgb(70,100,245)"], [0.6, "rgb(90,120,245)"], [0.7, "rgb(106,137,247)"], [1, "rgb(220,220,220)"], ], "Picnic": [ [0, "rgb(0,0,255)"], [0.1, "rgb(51,153,255)"], [0.2, "rgb(102,204,255)"], [0.3, "rgb(153,204,255)"], [0.4, "rgb(204,204,255)"], [0.5, "rgb(255,255,255)"], [0.6, "rgb(255,204,255)"], [0.7, "rgb(255,153,255)"], [0.8, "rgb(255,102,204)"], [0.9, "rgb(255,102,102)"], [1, "rgb(255,0,0)"], ], "Rainbow": [ [0, "rgb(150,0,90)"], [0.125, "rgb(0,0,200)"], [0.25, "rgb(0,25,255)"], [0.375, "rgb(0,152,255)"], [0.5, "rgb(44,255,150)"], [0.625, "rgb(151,255,0)"], [0.75, "rgb(255,234,0)"], [0.875, "rgb(255,111,0)"], [1, "rgb(255,0,0)"], ], "Portland": [ [0, "rgb(12,51,131)"], [0.25, "rgb(10,136,186)"], [0.5, "rgb(242,211,56)"], [0.75, "rgb(242,143,56)"], [1, "rgb(217,30,30)"], ], "Jet": [ [0, "rgb(0,0,131)"], [0.125, "rgb(0,60,170)"], [0.375, "rgb(5,255,255)"], [0.625, "rgb(255,255,0)"], [0.875, "rgb(250,0,0)"], [1, "rgb(128,0,0)"], ], "Hot": [ [0, "rgb(0,0,0)"], [0.3, "rgb(230,0,0)"], [0.6, "rgb(255,210,0)"], [1, "rgb(255,255,255)"], ], "Blackbody": [ [0, "rgb(0,0,0)"], [0.2, "rgb(230,0,0)"], [0.4, "rgb(230,210,0)"], [0.7, "rgb(255,255,255)"], [1, "rgb(160,200,255)"], ], "Earth": [ [0, "rgb(0,0,130)"], [0.1, "rgb(0,180,180)"], [0.2, "rgb(40,210,40)"], [0.4, "rgb(230,230,50)"], [0.6, "rgb(120,70,20)"], [1, "rgb(255,255,255)"], ], "Electric": [ [0, "rgb(0,0,0)"], [0.15, "rgb(30,0,100)"], [0.4, "rgb(120,0,100)"], [0.6, "rgb(160,90,0)"], [0.8, "rgb(230,200,0)"], [1, "rgb(255,250,220)"], ], "Viridis": [ [0, "#440154"], [0.06274509803921569, "#48186a"], [0.12549019607843137, "#472d7b"], [0.18823529411764706, "#424086"], [0.25098039215686274, "#3b528b"], [0.3137254901960784, "#33638d"], [0.3764705882352941, "#2c728e"], [0.4392156862745098, "#26828e"], [0.5019607843137255, "#21918c"], [0.5647058823529412, "#1fa088"], [0.6274509803921569, "#28ae80"], [0.6901960784313725, "#3fbc73"], [0.7529411764705882, "#5ec962"], [0.8156862745098039, "#84d44b"], [0.8784313725490196, "#addc30"], [0.9411764705882353, "#d8e219"], [1, "#fde725"], ], "Cividis": [ [0.000000, "rgb(0,32,76)"], [0.058824, "rgb(0,42,102)"], [0.117647, "rgb(0,52,110)"], [0.176471, "rgb(39,63,108)"], [0.235294, "rgb(60,74,107)"], [0.294118, "rgb(76,85,107)"], [0.352941, "rgb(91,95,109)"], [0.411765, "rgb(104,106,112)"], [0.470588, "rgb(117,117,117)"], [0.529412, "rgb(131,129,120)"], [0.588235, "rgb(146,140,120)"], [0.647059, "rgb(161,152,118)"], [0.705882, "rgb(176,165,114)"], [0.764706, "rgb(192,177,109)"], [0.823529, "rgb(209,191,102)"], [0.882353, "rgb(225,204,92)"], [0.941176, "rgb(243,219,79)"], [1.000000, "rgb(255,233,69)"], ], } # Create variable named after each scale that contains the sequence of colors only for scale_name, scale_pairs in _plotlyjs_scales.items(): scale_sequence = [c[1] for c in scale_pairs] exec( "{scale_name} = {scale_sequence}".format( scale_name=scale_name, scale_sequence=scale_sequence ) ) # Prefix variable names with _ so that they will not be added to the swatches _contents = dict(globals()) for _k, _cols in _contents.items(): if _k.startswith("_") or _k.startswith("swatches") or _k.endswith("_r"): continue globals()[_k + "_r"] = _cols[::-1]