"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...