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DS-1000 / 369 / In numpy, is there a nice idiomatic way of testing if all columns are equal in a…

Problem

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Problem:
In numpy, is there a nice idiomatic way of testing if all columns are equal in a 2d array?
I can do something like
np.all([np.array_equal(a[0], a[i]) for i in xrange(1,len(a))])
This seems to mix python lists with numpy arrays which is ugly and presumably also slow.
Is there a nicer/neater way?
A:
<code>
import numpy as np
a = np.repeat(np.arange(1, 6).reshape(-1, 1), 3, axis = 1)
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

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Source and history

upstream_id / Original problem ID
369
task_id
cf67f289-84a9-5cb2-a7dd-903f3fde1bec
task_key
default--test--369
task_revision_id
1
config / split
default / test

Official source

initial import