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
Here is what the above code is Doing:
1. We create a random array of 10 numbers using the numpy.random.random function.
2. We define a value to find the nearest value to.
3. We use the find_nearest function to find the nearest value to our specified value.
4. We print the nearest value.