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DS-1000 / 412 / What is the most efficient way to remove negative elements in an array? I have…

Problem

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Problem:
What is the most efficient way to remove negative elements in an array? I have tried numpy.delete and Remove all specific value from array and code of the form x[x != i].
For:
import numpy as np
x = np.array([-2, -1.4, -1.1, 0, 1.2, 2.2, 3.1, 4.4, 8.3, 9.9, 10, 14, 16.2])
I want to end up with an array:
[0, 1.2, 2.2, 3.1, 4.4, 8.3, 9.9, 10, 14, 16.2]
A:
<code>
import numpy as np
x = np.array([-2, -1.4, -1.1, 0, 1.2, 2.2, 3.1, 4.4, 8.3, 9.9, 10, 14, 16.2])
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

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Source and history

upstream_id / Original problem ID
412
task_id
20086556-a1e1-5297-bafd-3b904e41e6ec
task_key
default--test--412
task_revision_id
1
config / split
default / test

Official source

initial import