Python 在向量的numpy数组中的每个向量之间创建插值向量？

我有一个创建插值点的函数，但我希望numpy有一个更好的方法来获得相同的结果。向量可以是2d空间中的任意位置，并且不可能是任何数字顺序（尽管我在示例中使用了arange（）

import numpy as np

def spread_array(ar=None, steps=3):
    """Create interpolated points
    between points in an array
    of vectors."""
    v = ar[1:] - ar[:-1]
    div = v / (steps + 1)
    new_ar = np.zeros((ar.shape[0] * (steps + 1), 2))
    new_ar[::steps + 1] = ar
    for i in range(steps):
        ph = ar[:-1] + (div * (i + 1))
        new_ar[:-(steps +1)][i+1::steps+1] = ph
    
    return new_ar[: -steps]

xy = np.arange(4)
ar = np.zeros(8)
ar.shape = (4,2)
ar[:,0] = xy
ar[:,1] = xy

# or ar = np.random.rand(4,2)

new_ar = spread_array(ar)

print('------ new ------')
print(ar)
print(new_ar)