Resize array and fill with interpolation [closed]

Question

This should be similar to image resealing, suppose having this vector,

x = np.array([10,50,40,20])

I need to scale it up to size 10, and fill the missing values using interpolation.

Any numpy or scipy function that does this?

Answer 1

One way is using scipy.ndimage.interpolation.zoom. This will be zooming using spline interpolation. In order to use it you need to provide a zooming factor which in this case, given that you want an array of size 10, it should be 10/len(x):

from scipy.ndimage import interpolation

x = np.array([10,50,40,20])
i = 10
z = i / len(x)
# 2.5

x_int = interpolation.zoom(x,z)

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Output

array([10, 18, 35, 50, 54, 49, 40, 30, 23, 20])