import numpy as np
def find_nearest(array, value):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return array[idx]
array = np.random.random(10)
print(array)
# [ 0.21069679 0.61290182 0.63425412 0.84635244 0.91599191 0.00213826
# 0.17104965 0.56874386 0.57319379 0.28719469]
value = 0.5
print(find_nearest(array, value))
# 0.568743859261
def closest(lst, K):
return lst[min(range(len(lst)), key = lambda i: abs(lst[i]-K))]
# Driver code
lst = [3.64, 5.2, 9.42, 9.35, 8.5, 8]
K = 9.1
print(closest(lst, K))