import numpy as np
ridership = np.array([
[ 0, 0, 2, 5, 0],
[1478, 3877, 3674, 2328, 2539],
[1613, 4088, 3991, 6461, 2691],
[1560, 3392, 3826, 4787, 2613],
[1608, 4802, 3932, 4477, 2705],
[1576, 3933, 3909, 4979, 2685],
[ 95, 229, 255, 496, 201],
[ 2, 0, 1, 27, 0],
[1438, 3785, 3589, 4174, 2215],
[1342, 4043, 4009, 4665, 3033]
])
if False:
print ridership[1, 3]
print ridership[1:3, 3:5]
print ridership[1, :]
if False:
print ridership[0, :] + ridership[1, :]
print ridership[:, 0] + ridership[:, 1]
if False:
a = np.array([[1,2,3],[4,5,6],[7,8,9]])
b = np.array([[1,1,1],[2,2,2],[3,3,3]])
print a + b
def mean_riders_for_max_station(ridership):
overall_mean = None
mean_for_max = None
return (overall_mean, mean_for_max)
