Most efficient way to forward-fill NaN values in numpy array

Question

Example Problem

As a simple example, consider the numpy array arr as defined below:

import numpy as np
arr = np.array([[5, np.nan, np.         


        

Answer 1

Use Numba. This should give a significant speedup:

import numba
@numba.jit
def loops_fill(arr):
    ...