"shape": 8, "ps": 1.5, "clr": "black" }, "Active": { "shape": 2, "ps": 1.5, "clr": "black" }, "Resolution (>3.5 {\305})": { "shape": 7, "ps": 0.5, "clr": "black" }, } color_dict = {} for k, v in entry_dict.items(): title = k shape = v["shape"] ps = v["ps"] clr = v["clr"] color_dict[title] = { "style": f"u 1:2 w p pt {shape} ps {ps} lw 1.0 lc rgb '{clr}' title '{title}'", "entry": [], } cs.color_table(color_dict, filename="xfam-loop.color_table")
coloritems["state"] = {} coloritems["state"] = select_items(lines, 3) # Define color by dividing the colorwheel... species_list1 = cs.color_species(species_list, s = 100, v = 100, hexsym = "#", b = 0, e = 90) colors_dict = {**species_list1} # Assemble Gnuplot codes... # retinal type gps_dict = {} for k, v in colors_dict.items(): gps_dict[k] = { "style" : "u 1:2 w p pt 7 ps 2.0 lc rgb '%s' title '%s'" % (v, k), "entry" : coloritems["state"][k] } cs.color_table(gps_dict) # Create labels... entries = ['-'.join(i[1:1+2]) for i in lines] cmds = [ f"set xzeroaxis", f"set yzeroaxis", ] top = 10 if 1: if 1: # Visualize singular values...