import numpy as np
import statistics


def median2(lst):
    return np.median(np.array(lst))

def mean(lst):
	return np.mean(np.array(lst))

def max(lst):
	return np.amax(np.array(lst))

def var(lst):
	return np.var(np.array(lst))





def main():
	sensor_data = np.loadtxt("sensorvalues2.csv",delimiter=",",dtype=float)
	acc_y = sensor_data[:, 2]
	list = [1,1,1,1,1,3,5,67,39,28,10,1,4,34,1,6,107,99]
	alist = [1, 2, 1, 1, -3, -4, 7, 8, 9, 10, -2, 1, -3, 5, 6, 7, -10]
	# m = np.sum(list[2:3])
	# print m
	#print (np.sum(list[0:4])/4)
	b = mean(list[0:4])
	print (b)
	a = median2(list[0:5])
	print (a)
	m = max(list[0:5])
	print (m)
	v = var(list[0:5])
	print (v)
	# zero = zero_crossings(alist)
	# print zero

if __name__ == "__main__":
    main()