np.array vs np.vstack

code:py

import numpy as np

N = 10

size = 100

print("np.array")

%timeit np.array(arrays)

print("np.vstack")

%timeit np.vstack(arrays)

print("np.stack(axis=0)")

%timeit np.stack(arrays, axis=0)

code:result

np.array

23.3 μs ± 585 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)

np.vstack

24.6 μs ± 1.04 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)

np.stack(axis=0)

27.8 μs ± 931 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)