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DS-1000 / 802 / Suppose I have a integer matrix which represents who has emailed whom and how…

Problem

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Problem:


Suppose I have a integer matrix which represents who has emailed whom and how many times. I want to find people that have not emailed each other. For social network analysis I'd like to make a simple undirected graph. So I need to convert the matrix to binary matrix.
My question: is there a fast, convenient way to reduce the decimal matrix to a binary matrix.
Such that:
26, 3, 0
3, 195, 1
0, 1, 17
Becomes:
0, 0, 1
0, 0, 0
1, 0, 0

A:


<code>
import scipy
import numpy as np
a = np.array([[26, 3, 0], [3, 195, 1], [0, 1, 17]])
</code>
a = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Scipy

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Source and history

upstream_id / Original problem ID
802
task_id
e8b4d6c7-a94a-5bb9-b944-c31f21355a3d
task_key
default--test--802
task_revision_id
1
config / split
default / test

Official source

initial import