g = 9.81
L = 1450
u = 1

import numpy as np

# acc front < acc rear
# retard_rear < retard_front
# acc front, retard rear maxim
# x 690 - 710,y in 700 - 800

def get_values(x, y):
	acc_front = g* (L-x) / y
	acc_rear = u * g * x / (L - u * y)
	retard_rear =  g * x / y
	retard_front = u * g * (L-x) / (L - u * y)

	return acc_front, retard_rear, acc_rear, retard_front, x, y

mat = []

# print(mat)
for i in range(760, 770):
	for j in range(680, 710):
		vals = get_values(i, j)
		mat.append(list(vals))  # PLACEHOLDER LIST OF VALUES

arr = np.array(mat)
# sorted = np.sort(arr, axis = 0)
sorted = arr[arr[:,0].argsort()]
# print(sorted)
for i in sorted:
	print(i)

# import pandas as pd

## convert your array into a dataframe
# df = pd.DataFrame(sorted)

## save to xlsx file
# filepath = 'file.xlsx'

# df.to_excel(filepath, index=False)
# np.savetxt('file.xlsx', sorted)