import csv
import itertools
import numpy as np
from matplotlib import pyplot as plt

import cv2

coordinates = []
plt.ion()
with open('data.csv') as csv_file:
    csv_reader = csv.DictReader(csv_file)
    line_count = 0
    for row in csv_reader:
        coordinate = [float(row['X']), float(row['Y']), float(row['Z'])]
        coordinates.append(coordinate)

# print(coordinates)

# res = np.concatenate(coordinates)
#
# fig = plt.figure()
# ax = fig.add_subplot(projection='3d')
#
# for x, y, z in coordinates:
#     ax.scatter(xs=x, ys=y, zs=z, marker='o')
#
# plt.show()


coor = coordinates[7]
for i in range(7):
    coor = np.cross(coor, coordinates[i])
    #coordi = coordinates[i]
    #coordi
#print(multi)
combinations = list(itertools.combinations(coordinates, 8))

for combi in combinations:
    coor = combi[7]
    for i in range(7):
        coor = np.cross(coor, combi[i])

    print(coor)

length = 3
target = 15