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'''
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@author: roj-idl71
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'''
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import matplotlib
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#USED IN jroplot_spectra.py
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RTI_CODE = 0 #Range time intensity (RTI).
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SPEC_CODE = 1 #Spectra (and Cross-spectra) information.
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CROSS_CODE = 2 #Cross-Correlation information.
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COH_CODE = 3 #Coherence map.
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BASE_CODE = 4 #Base lines graphic.
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ROW_CODE = 5 #Row Spectra.
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TOTAL_CODE = 6 #Total Power.
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DRIFT_CODE = 7 #Drifts graphics.
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HEIGHT_CODE = 8 #Height profile.
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PHASE_CODE = 9 #Signal Phase.
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POWER_CODE = 16
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NOISE_CODE = 17
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BEACON_CODE = 18
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#USED IN jroplot_parameters.py
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WIND_CODE = 22
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MSKYMAP_CODE = 23
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MPHASE_CODE = 24
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MOMENTS_CODE = 25
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PARMS_CODE = 26
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SPECFIT_CODE = 27
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EWDRIFT_CODE = 28
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#COLOR TABLES
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refl = [
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"#2a323b", "#3f4c59", "#556576", "#6a7f94", "#7f99b2",
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"#00ffff", "#007fff", "#0000ff", "#00ff00", "#00bf00",
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"#007f00", "#ffff00", "#ffbf00", "#ff7f00", "#ff0000",
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"#bf0000", "#7f0000", "#fe00fe", "#8e59ff", "#f0f0f0",
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]
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#refl_bounds = [-25, -20, -15, -10, -5, 0, 5, 10 ,15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80]
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doppler = [
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"#003300", "#005500", "#007700", "#009900", "#00bb00", "#24ce24", "#6cd26c", "#b4d6b4",
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"#d6b4b4", "#d26c6c", "#ce2424", "#bb0000", "#980000", "#760000", "#540000", "#330000",
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]
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width = [
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"#00ffff", "#00aaf2", "#0055e5", "#0000d8",
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"#007f00", "#00aa00", "#00d400", "#00ff00",
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"#ffff00", "#ffd400", "#ffaa00", "#ff7f00",
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"#ff0000", "#d40000", "#aa0000", "#7f0000",
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"#ff00ff", "#d400d4", "#aa00aa", "#7f007f",
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"#9938ff", "#832ed8", "#6e25b2", "#591c8c",
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]
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zdr = [
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"#7333cc", "#7e3cd5", "#8945de", "#944ee7", "#9f57f0", "#aa5ff8",
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"#82345c", "#984272", "#ae4f88", "#c55c9f", "#db6ab5", "#f177cb",
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"#b5842d", "#c29a4c", "#d0b16b", "#ddc78a", "#ebddaa", "#f8f4c9",
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"#f0f5ff", "#c4d8ff", "#97bbff", "#6a9eff", "#3e81ff", "#1164ff",
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"#17f576", "#13df60", "#0ec949", "#0ab233", "#059c1d", "#018606",
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"#fff300", "#ffdd00", "#ffc700", "#ffb000", "#ff9a00", "#ff8400",
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"#f10000", "#db0000", "#c40000", "#ae0000", "#980000", "#810000",
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]
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phi = [
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"#ff3f40", "#ec3b6d", "#bf2f7e", "#92247c", "#7b1f7f", "#732492", "#782fbf", "#6f3bec",
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"#513fff", "#3b4bec", "#2f57bf", "#245592", "#1f5a7f", "#247992", "#2fb4bf", "#3bece0",
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"#3fffd8", "#3becb1", "#2fbf7d", "#249253", "#1f7f3d", "#24923b", "#2fbf3e", "#3bec3b",
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"#50ff3f", "#5aec3b", "#55bf2f", "#4a9224", "#487f1f", "#5a9224", "#80bf2f", "#aaec3b",
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"#c4ff3f", "#c0ec3b", "#a4bf2f", "#839224", "#777f1f", "#8e9224", "#bfbc2f", "#ece03b",
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"#ffea3f", "#ecd13b", "#bfa42f", "#927924", "#7f661f", "#927124", "#bf8f2f", "#ecac3b",
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"#ffb43f", "#eca23b", "#bf7f2f", "#925e24", "#7f501f", "#925924", "#bf712f", "#ec883b",
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"#ff8f3f", "#ec813b", "#bf662f", "#924c24", "#7f401f", "#924824", "#bf5c2f", "#ec6f3b",
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]
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rho = [
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"#2a323b", "#3f4c59", "#556576", "#6a7f94", "#7f99b2",
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"#00ffff", "#00bff5", "#007feb", "#003fe2", "#0000d8",
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"#00ff00", "#00df00", "#00bf00", "#009f00", "#007f00",
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"#ffff00", "#ffdf00", "#ffbf00", "#ff9f00", "#ff7f00",
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"#ff0000", "#df0000", "#bf0000", "#9f0000", "#7f0000",
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"#ff00ff", "#df00df", "#bf00bf", "#9f009f", "#7f007f",
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"#9938ff", "#8931e2", "#792ac5", "#6923a8", "#591c8c",
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]
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rho_bounds = [0.2, 0.306, 0.412, 0.518, 0.624, 0.73,
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0.75, 0.77, 0.79, 0.81, 0.83,
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0.85, 0.87, 0.89, 0.91, 0.93,
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0.936, 0.942, 0.948, 0.954, 0.96,
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0.966, 0.972, 0.978, 0.984, 0.99,
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0.996, 1.002, 1.008, 1.014, 1.02,
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1.026, 1.032, 1.038, 1.044, 1.05, 1.056]
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cb_tables = {
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'sophy_z': {'colors': refl, 'norm': None },
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'sophy_v': {'colors': doppler, 'norm': None },
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'sophy_w': {'colors': width, 'norm': None },
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'sophy_d': {'colors': zdr, 'norm': None},
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'sophy_p': {'colors': phi, 'norm': None },
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'sophy_r': {'colors': rho, 'norm': matplotlib.colors.BoundaryNorm(rho_bounds, 37), 'extremes': ['#15191d', '#333899']},
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}
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def register_cmap():
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for colormap in cb_tables:
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cmap = matplotlib.colors.ListedColormap(cb_tables[colormap]['colors'], name=colormap)
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if 'extremes' in cb_tables[colormap]:
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cmap = cmap.with_extremes(under=cb_tables[colormap]['extremes'][0], over=cb_tables[colormap]['extremes'][1])
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matplotlib.pyplot.register_cmap(cmap=cmap)
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