benchmarks.wiki

benchmarks.wiki / Public workspace

DS-1000 / 507 / I want to process a gray image in the form of np.array.

Problem

Answer published by the source. Consult the official source to check your work against its answer.

prompt

Problem:
I want to process a gray image in the form of np.array. 
*EDIT: chose a slightly more complex example to clarify
Suppose
im = np.array([ [0,0,0,0,0,0] [0,0,1,1,1,0] [0,1,1,0,1,0] [0,0,0,1,1,0] [0,0,0,0,0,0]])
I'm trying to create this:
[ [0,1,1,1], [1,1,0,1], [0,0,1,1] ]
That is, to remove the peripheral zeros(black pixels) that fill an entire row/column.
I can brute force this with loops, but intuitively I feel like numpy has a better means of doing this.
A:
<code>
import numpy as np
im = np.array([[0,0,0,0,0,0],
               [0,0,1,1,1,0],
               [0,1,1,0,1,0],
               [0,0,0,1,1,0],
               [0,0,0,0,0,0]])
</code>
result = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Numpy

Discussion

Discussion

No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

upstream_id / Original problem ID
507
task_id
825042be-2a44-55f6-800b-8959693deef7
task_key
default--test--507
task_revision_id
1
config / split
default / test

Official source

initial import