disp_results.py
2bf267917305brute_force_cuda

disp_results.py
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			import numpy as np
			import csv
			import os, glob
			from numpy.random import normal as normal
			import matplotlib.pyplot as plt
			from mpl_toolkits.mplot3d import Axes3D
			import matplotlib.animation as animation
			import matplotlib


			def update(ifrm, xa, ya, za):
			sct.set_data(xa[ifrm], ya[ifrm])
			sct.set_3d_properties(za[ifrm])


			def read_file(pathfile):
			files = glob.glob(pathfile + "*.csv")
			files.sort(key=os.path.getmtime)

			xs = [[] for i in range(len(files))]
			ys = [[] for i in range(len(files))]
			zs = [[] for i in range(len(files))]

			for idx, f in enumerate(files):
			with open(pathfile + f, newline='') as data:
			reader = csv.reader(data)

			for row in reader:
			if row[0] != 'x':
			xs[idx].append(float(row[0]))
			ys[idx].append(float(row[1]))
			zs[idx].append(float(row[2]))

			return xs, ys, zs


			if __name__ == "__main__":
			pathfile = "../output/"
			dirs = os.listdir(pathfile)

			nfr = len(dirs) # Number of frames
			fps = 90 # Frame per sec
			side = 3000

			fig = plt.figure()
			ax = fig.add_subplot(111, projection='3d')
			sct, = ax.plot([], [], [], "o", markersize=2)

			# Read file
			xs, ys, zs = read_file(pathfile)

			ax.set_xlim(-side, side/2)
			ax.set_ylim(-side, side/2)
			ax.set_zlim(-side, side/2)
			ani = animation.FuncAnimation(fig, update, nfr, fargs=(xs, ys, zs), interval=1000 / fps)

			plt.rcParams['animation.html'] = 'html5'
			plt.show()