color_tables.py

import matplotlib
LUTSIZE = matplotlib.rcParams['image.lut']

import matplotlib.colors as colors

_NWSRef_data = {
    'blue': [
        (0.0, 0.92549019607843142, 0.92549019607843142),
        (0.07142857, 0.96470588235294119, 0.96470588235294119),
        (0.14285714, 0.96470588235294119, 0.96470588235294119),
        (0.21428571, 0.0, 0.0),
        (0.28571429, 0.0, 0.0),
        (0.35714286, 0.0, 0.0),
        (0.42857143, 0.0, 0.0),
        (0.50000000, 0.0, 0.0),
        (0.57142857, 0.0, 0.0),
        (0.64285714, 0.0, 0.0),
        (0.71428571, 0.0, 0.0),
        (0.78571429, 0.0, 0.0),
        (0.85714286, 1.0, 1.0),
        (0.92857143, 0.78823529411764703, 0.78823529411764703),
        (1.0, 0.0, 0.0)
    ],
    'green': [
        (0.0, 0.92549019607843142, 0.92549019607843142),
        (0.07142857, 0.62745098039215685, 0.62745098039215685),
        (0.14285714, 0.0, 0.0),
        (0.21428571, 1.0, 1.0),
        (0.28571429, 0.78431372549019607, 0.78431372549019607),
        (0.35714286, 0.56470588235294117, 0.56470588235294117),
        (0.42857143, 1.0, 1.0),
        (0.50000000, 0.75294117647058822, 0.75294117647058822),
        (0.57142857, 0.56470588235294117, 0.56470588235294117),
        (0.64285714, 0.0, 0.0),
        (0.71428571, 0.0, 0.0),
        (0.78571429, 0.0, 0.0),
        (0.85714286, 0.0, 0.0),
        (0.92857143, 0.33333333333333331, 0.33333333333333331),
        (1.0, 0.0, 0.0)],
    'red': [
        (0.0, 0.0, 0.0),
        (0.07142857, 0.0039215686274509803, 0.0039215686274509803),
        (0.14285714, 0.0, 0.0),
        (0.21428571, 0.0, 0.0),
        (0.28571429, 0.0, 0.0),
        (0.35714286, 0.0, 0.0),
        (0.42857143, 1.0, 1.0),
        (0.50000000, 0.90588235294117647, 0.90588235294117647),
        (0.57142857, 1.0, 1.0),
        (0.64285714, 1.0, 1.0),
        (0.71428571, 0.83921568627450982, 0.83921568627450982),
        (0.78571429, 0.75294117647058822, 0.75294117647058822),
        (0.85714286, 1.0, 1.0),
        (0.92857143, 0.59999999999999998, 0.59999999999999998),
        (1.0, 0.0, 0.0)
    ]
}

datad = {}
for name in locals().keys():
    if name.endswith('_data'):
        newname = name[1:-5]
        
        #Put data for colortable into dictionary under new name
        datad[newname] = locals()[name]
        
        #Create colortable from data and place it in local namespace under new name
        locals()[newname] = colors.LinearSegmentedColormap(newname, locals()[name],
            LUTSIZE)