https://sondehub.org/js/colour-map.js?v=e2dfe75

1const cm_data = {"turbo": {"interpolate": true, "colors": [[0.19, 0.0718, 0.2322], [0.1948, 0.0834, 0.2615], [0.1996, 0.095, 0.2902], [0.2042, 0.1065, 0.3184], [0.2086, 0.118, 0.3461], [0.2129, 0.1295, 0.3731], [0.2171, 0.1409, 0.3996], [0.2211, 0.1522, 0.4256], [0.225, 0.1635, 0.451], [0.2288, 0.1748, 0.4758], [0.2324, 0.186, 0.5], [0.2358, 0.1972, 0.5237], [0.2392, 0.2083, 0.5469], [0.2423, 0.2194, 0.5694], [0.2454, 0.2304, 0.5914], [0.2483, 0.2414, 0.6129], [0.2511, 0.2524, 0.6337], [0.2537, 0.2633, 0.6541], [0.2562, 0.2741, 0.6738], [0.2585, 0.2849, 0.693], [0.2607, 0.2957, 0.7116], [0.2628, 0.3064, 0.7297], [0.2647, 0.3171, 0.7472], [0.2665, 0.3277, 0.7641], [0.2682, 0.3382, 0.7805], [0.2697, 0.3488, 0.7963], [0.271, 0.3593, 0.8116], [0.2723, 0.3697, 0.8262], [0.2733, 0.3801, 0.8404], [0.2743, 0.3904, 0.8539], [0.2751, 0.4007, 0.8669], [0.2758, 0.411, 0.8794], [0.2763, 0.4212, 0.8912], [0.2767, 0.4313, 0.9025], [0.2769, 0.4414, 0.9133], [0.277, 0.4515, 0.9235], [0.277, 0.4615, 0.9331], [0.2768, 0.4715, 0.9421], [0.2765, 0.4814, 0.9506], [0.276, 0.4913, 0.9586], [0.2754, 0.5012, 0.9659], [0.2747, 0.5109, 0.9728], [0.2738, 0.5207, 0.979], [0.2727, 0.5304, 0.9846], [0.2711, 0.5402, 0.9893], [0.2688, 0.55, 0.993], [0.2659, 0.5598, 0.9958], [0.2625, 0.5697, 0.9977], [0.2586, 0.5796, 0.9988], [0.2542, 0.5895, 0.999], [0.2495, 0.5994, 0.9984], [0.2443, 0.6094, 0.997], [0.2387, 0.6193, 0.9948], [0.2329, 0.6292, 0.992], [0.2268, 0.6391, 0.9885], [0.2204, 0.649, 0.9844], [0.2138, 0.6589, 0.9796], [0.2071, 0.6687, 0.9742], [0.2002, 0.6784, 0.9683], [0.1933, 0.6881, 0.9619], [0.1862, 0.6978, 0.955], [0.1792, 0.7073, 0.9476], [0.1722, 0.7168, 0.9398], [0.1653, 0.7262, 0.9316], [0.1584, 0.7355, 0.923], [0.1517, 0.7447, 0.9142], [0.1452, 0.7538, 0.905], [0.1389, 0.7628, 0.8955], [0.1328, 0.7716, 0.8858], [0.127, 0.7804, 0.8759], [0.1215, 0.789, 0.8658], [0.1164, 0.7974, 0.8556], [0.1117, 0.8057, 0.8452], [0.1074, 0.8138, 0.8348], [0.1036, 0.8218, 0.8244], [0.1003, 0.8296, 0.8139], [0.0975, 0.8371, 0.8034], [0.0953, 0.8446, 0.793], [0.0938, 0.8518, 0.7826], [0.0929, 0.8588, 0.7724], [0.0927, 0.8655, 0.7623], [0.0932, 0.8721, 0.7524], [0.0945, 0.8784, 0.7426], [0.0966, 0.8845, 0.7332], [0.0996, 0.8904, 0.7239], [0.1034, 0.896, 0.715], [0.1082, 0.9014, 0.706], [0.1137, 0.9067, 0.6965], [0.1201, 0.9119, 0.6866], [0.1273, 0.917, 0.6763], [0.1353, 0.922, 0.6656], [0.1439, 0.9268, 0.6545], [0.1532, 0.9315, 0.6431], [0.1632, 0.9361, 0.6314], [0.1738, 0.9405, 0.6194], [0.1849, 0.9448, 0.6071], [0.1966, 0.949, 0.5947], [0.2088, 0.953, 0.582], [0.2214, 0.9569, 0.5691], [0.2345, 0.9606, 0.5561], [0.248, 0.9642, 0.543], [0.2618, 0.9676, 0.5298], [0.276, 0.9709, 0.5165], [0.2904, 0.974, 0.5032], [0.3051, 0.977, 0.4899], [0.3201, 0.9797, 0.4765], [0.3352, 0.9823, 0.4632], [0.3504, 0.9848, 0.45], [0.3658, 0.987, 0.4369], [0.3813, 0.9891, 0.4239], [0.3968, 0.991, 0.411], [0.4123, 0.9927, 0.3983], [0.4278, 0.9942, 0.3858], [0.4432, 0.9955, 0.3734], [0.4585, 0.9966, 0.3614], [0.4738, 0.9976, 0.3496], [0.4888, 0.9983, 0.3382], [0.5036, 0.9988, 0.327], [0.5182, 0.9991, 0.3162], [0.5326, 0.9992, 0.3058], [0.5466, 0.9991, 0.2958], [0.5603, 0.9987, 0.2862], [0.5736, 0.9982, 0.2771], [0.5865, 0.9974, 0.2685], [0.5989, 0.9964, 0.2604], [0.6109, 0.9951, 0.2528], [0.6223, 0.9937, 0.2458], [0.6332, 0.992, 0.2394], [0.6436, 0.99, 0.2336], [0.6539, 0.9878, 0.2284], [0.6643, 0.9852, 0.2237], [0.6746, 0.9825, 0.2196], [0.6849, 0.9794, 0.216], [0.6952, 0.9761, 0.2129], [0.7055, 0.9726, 0.2103], [0.7158, 0.9688, 0.2082], [0.726, 0.9647, 0.2064], [0.7361, 0.9604, 0.205], [0.7462, 0.9559, 0.2041], [0.7562, 0.9512, 0.2034], [0.7661, 0.9463, 0.2031], [0.7759, 0.9411, 0.2031], [0.7856, 0.9358, 0.2034], [0.7952, 0.9302, 0.2039], [0.8047, 0.9245, 0.2046], [0.8141, 0.9186, 0.2055], [0.8233, 0.9125, 0.2066], [0.8324, 0.9063, 0.2079], [0.8413, 0.8999, 0.2093], [0.8501, 0.8933, 0.2107], [0.8587, 0.8866, 0.2123], [0.8671, 0.8797, 0.2139], [0.8753, 0.8727, 0.2156], [0.8833, 0.8655, 0.2172], [0.8911, 0.8583, 0.2188], [0.8987, 0.8509, 0.2204], [0.906, 0.8434, 0.2219], [0.9132, 0.8358, 0.2233], [0.92, 0.8281, 0.2246], [0.9267, 0.8202, 0.2257], [0.933, 0.8124, 0.2267], [0.9391, 0.8044, 0.2274], [0.9449, 0.7963, 0.228], [0.9504, 0.7882, 0.2283], [0.9556, 0.78, 0.2284], [0.9

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2
3const turbo = partial('turbo');
4const turbo_r = partial('turbo_r');
5const viridis = partial('viridis');
6const viridis_r = partial('viridis_r');
7const hsv = partial('hsv');
8const hsv_r = partial('hsv_r');
9const jet = partial('jet');
10const jet_r = partial('jet_r');
11
12
13/*
14Define auxiliary functions for evaluating colormaps
15 */
16
17function ColorToHex(color) {
18  var hexadecimal = color.toString(16);
19  return hexadecimal.length == 1 ? "0" + hexadecimal : hexadecimal;
20}
21
22function ConvertRGBtoHex(color_arr) {
23  return "#" + ColorToHex(color_arr[0]) + ColorToHex(color_arr[1]) + ColorToHex(color_arr[2]);
24}
25
26function evaluate_cmap(x, name, reverse) {
27  /**
28   * Evaluate colormap `name` at some value `x`.
29   * @param {number} x - The value (between 0 and 1) at which to evaluate the colormap.
30   * @param {string} name - The name of the colormap (see matplotlib documentation).
31   * @reverse {boolean} reverse - Whether or not to reverse the colormap.
32   * @return {list} - A 3-tuple (R, G, B) containing the color assigned to `x`.
33   */
34
35  // Ensure that the value of `x` is valid (i.e., 0 <= x <= 1)
36  if (!(0 <= x <= 1)) {
37    alert('Illegal value for x! Must be in [0, 1].')
38  }
39
40  // Ensure that `name` is a valid colormap
41  if (!(name in cm_data)) {
42    alert('Colormap ' + name + 'does not exist!');
43  }
44
45  // We can get the reverse colormap by evaluating colormap(1-x)
46  if (reverse === true) {
47    x = 1 - x;
48  }
49
50  // Get the colors and whether or not we need to interpolate
51  let colors = cm_data[name]['colors'];
52  let interpolate = cm_data[name]['interpolate'];
53
54  if (interpolate === true) {
55    return interpolated(x, colors);
56  } else {
57    return qualitative(x, colors);
58  }
59}
60
61function interpolated(x, colors) {
62  let lo = Math.floor(x * (colors.length - 1));
63  let hi = Math.ceil(x * (colors.length - 1));
64  let r = Math.round((colors[lo][0] + colors[hi][0]) / 2 * 255);
65  let g = Math.round((colors[lo][1] + colors[hi][1]) / 2 * 255);
66  let b = Math.round((colors[lo][2] + colors[hi][2]) / 2 * 255);
67  return [r, g, b];
68}
69
70function qualitative(x, colors) {
71  let idx = 0;
72  while (x > (idx + 1) / (colors.length - 0) ) { idx++; }
73  let r = Math.round(colors[idx][0] * 255);
74  let g = Math.round(colors[idx][1] * 255);
75  let b = Math.round(colors[idx][2] * 255);
76  return [r, g, b];
77}
78
79function partial(name) {
80  if (name.endsWith('_r')) {
81    return function(x) { return evaluate_cmap(x, name.substring(0, name.length - 2), true) };
82  } else {
83    return function(x) { return evaluate_cmap(x, name, false) };
84  }
85}