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DS-1000 / 433 / I have a 2D array `a` to represent a many-many mapping :

Problem

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Problem:
I have a 2D array `a` to represent a many-many mapping :
0   3   1   3
3   0   0   0
1   0   0   0
3   0   0   0
What is the quickest way to 'zero' out rows and column entries corresponding to a particular index (e.g. zero_rows = 0, zero_cols = 0 corresponds to the 1st row/column) in this array?
A:
<code>
import numpy as np
a = np.array([[0, 3, 1, 3], [3, 0, 0, 0], [1, 0, 0, 0], [3, 0, 0, 0]])
zero_rows = 0
zero_cols = 0
</code>
a = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

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Source and history

upstream_id / Original problem ID
433
task_id
d7d99567-82c9-5e36-b8f2-bddfa9fbf33b
task_key
default--test--433
task_revision_id
1
config / split
default / test

Official source

initial import