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DS-1000 / 297 / Let's say I have a 1d numpy integer array like this

Problem

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Problem:
Let's say I have a 1d numpy integer array like this
a = array([-1,0,3])
I would like to encode this as a 2D one-hot array(for integers)
b = array([[1,0,0,0,0], [0,1,0,0,0], [0,0,0,0,1]])
The leftmost element always corresponds to the smallest element in `a`, and the rightmost vice versa.
Is there a quick way to do this only using numpy? Quicker than just looping over a to set elements of b, that is.
A:
<code>
import numpy as np
a = np.array([-1, 0, 3])
</code>
b = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

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Source and history

upstream_id / Original problem ID
297
task_id
9cc6c470-3447-5f23-af6c-4659cd8f93be
task_key
default--test--297
task_revision_id
1
config / split
default / test

Official source

initial import