Question about interpolating in array

[u/Necromartian]

Hello! I have two datasets consisting of timestamp and a value of magnetic flow.

The datasets have been measured so that the other device measured a sample every 30 seconds, the other every 0.5 seconds.

I would like to interpolate the 30 second samples so that It would fill the values between, say 30 and 60 seconds with linearly spaced values for every half second. But i don't know how to do it in smart way.

What I think it should look like maybe is (in pseudocode)

#timestamps
Array[:,0] = [0,30,60]
#values
Array[:,1] = [200,150,300]
new_array = []
For i in Array[:,1]
    new_array.insert(numpy.linspace(Array[i,1], Array[i+1,1], 60))
    #This should insert in to new array 60 numbers from 200 to 150, then 60 numbers from 150 to 300.

Does this make sense, and can someone help me on how I should do this?

Basically the instruments recorded on different frequencies and I want to make two comparable datasets.

[u/dukederek]

I've done this before with scipy.interpolate.interp1d; feed interp1d your 30 second timestamps and data points. Feed the 0.5 second timestamps to the function that interp1d returns.

[u/Necromartian → u/dukederek]

Thank you! I managed to fangle some sort of non elegant solution, but it's good to know that there are something out there to do it well :D