[Python] Vectorized sort of 2D numpy array columns independently

There must be a simple vectorized way to sort independently all columns in a 2D numpy array without using a for cycle.

input_arr = np.array([[6,4],[3,1],[2,5]])

out_arr =np.empty_like(input_arr)
for c,column in enumerate(input_arr.T):
out_arr[:,c] = np.sort(column)


Expected results:
unsorted:
[[6 4]
[3 1]
[2 5]]

columns_sorted:
[[2 1]
[3 4]
[6 5]]


Can you help me out?

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