Issue
Let's say I have a simple array, like this one:
import numpy as np
a = np.array([1,2,3])
Which returns me, obviously:
array([1, 2, 3])
I'm trying to add calculated values between consecutive values in this array. The calculation should return me n
equally spaced values between it's bounds.
To express myself in numbers, let's say I want to add 1
value between each pair of consecutive values, so the function should return me a array like this:
array([1, 1.5, 2, 2.5, 3])
Another example, now with 2
values between each pair:
array([1, 1.33, 1.66, 2, 2.33, 2.66, 3])
I know the logic and I can create myself a function which will do the work, but I feel numpy has specific functions that would make my code so much cleaner!
Solution
If your array is
import numpy as np
n = 2
a = np.array([1,2,5])
new_size = a.size + (a.size - 1) * n
x = np.linspace(a.min(), a.max(), new_size)
xp = np.linspace(a.min(), a.max(), a.size)
fp = a
result = np.interp(x, xp, fp)
returns: array([1. , 1.33333333, 1.66666667, 2. , 2.66666667, 3.33333333, 4. ])
If your array is always evenly spaced, you can just use
new_size = a.size + (a.size - 1) * n
result = np.linspace(a.min(), a.max(), new_size)
Answered By - sunnytown
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