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Generate mandelbrot image from csv pixel data
import math
from PIL import Image
import pandas as pd
import time
def get_color(escape_val):
return escape_val
def import_data():
print("Importing Data")
return pd.read_csv("../data/mandelbrot_e-3.txt")
def gen_img(mandl):
last_time = time.time()
avg_time_per_percent = 0
size = (int(math.sqrt(mandl.shape[0])), int(math.sqrt(mandl.shape[0])))
img ='L', size)
px = img.load()
for idx, row in mandl.iterrows():
if idx % int(mandl.shape[0] / 100) == 0:
current_time = time.time()
percentage = math.ceil(idx/mandl.shape[0]*100)
if percentage != 0:
avg_time_per_percent = avg_time_per_percent + (((current_time - last_time) - avg_time_per_percent)/ percentage)
print(f"{percentage}% done... about {int(avg_time_per_percent*(100-percentage))} seconds left.")
last_time = current_time
#print(f"raw_x: {row['x']}\t raw_y: {row['y']}")
x = int(round((row['x'] + 2.0) * RESOLUTION))
y = int(round((row['y'] + 2.0) * RESOLUTION))
color = get_color(int(row['escape']))
#print(f"X: {x}\t\tY: {y} --> Color: {color}")
px[x, y] = color
return img
if __name__ == '__main__':
df = import_data()
img = gen_img(df)"mandelbrot.jpg")
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