How can I vectorize linspace in numpy [duplicate]

Question

I want to do linspace to an array. Just like following:

a = np.array([2, 4, 6])
b = vectorize(np.array)(0, a, 5)

I would like something back that looks like:

b = [[0, 0.5, 1, 1.5, 2]
     [0, 1, 2, 3, 4]
     [0, 1.5, 3, 4.5, 6]]

This is my code:

import numpy as np
a = np.arange(1001)
c = np.vectorize(np.linspace)(0, a, 101)
print(c)

It shows that: ValueError: setting an array element with a sequence. Is there any method to do this in numpy without for loop?

Answer 1

Build your own:

def vlinspace(a, b, N, endpoint=True):
    a, b = np.asanyarray(a), np.asanyarray(b)
    return a[..., None] + (b-a)[..., None]/(N-endpoint) * np.arange(N)