scaled plotting in raylib

gen.py

import random
import csv

def rim():
    return random.randint(0, 2**32 - 1)

def write_to_csv(data, filename):
 with open(filename, "w", newline="") as csvfile:
   writer = csv.writer(csvfile)
   writer.writerows(data)

data = [(rim(), rim(), rim()) for _ in range(10000)]
write_to_csv(data, "data.csv")

plot.py

from pyray import *
from time import sleep
import threading

user_exit = False
width = 800
height = 600

data = []
scaling_factor = height / (2**32 - 1)


def scale(col):
    return int(float(col) * scaling_factor)


def read_by_line():
    with open("data.csv", "r") as file:
        for line in file:
            if user_exit:
                return
            if len(data) > width:
                data.pop(0)
            cols = line.split(",")
            data.append((scale(cols[0]), scale(cols[1]), scale(cols[2])))
            sleep(0.01)


init_window(width, height, "Hello")

threading.Thread(target=read_by_line).start()

while not window_should_close():
    begin_drawing()
    clear_background(WHITE)

    if len(data) > 1:
        for i in range(len(data) - 1):
            draw_line(i, data[i][0], i + 1, data[i + 1][0], RED)
            draw_line(i, data[i][1], i + 1, data[i + 1][1], GREEN)
            draw_line(i, data[i][2], i + 1, data[i + 1][2], BLUE)

    end_drawing()
close_window()

user_exit = True