Describe your problem and how to reproduce it:
The output does not align with the question, nor does it align with the code. I suspect this is what the output was meant to be:
# Output:
# [[ 1 2 20 4 5 ]
# [ 6 7 20 9 10 ]]
Also, I would suggest the formatting of the code to change. Ie. spacing between numbers and [], and spacing between numbers.
Add a Link to the page with the problem:
https://www.freecodecamp.dev/learn/data-analysis-with-python/numpy/accessing-and-changing-elements-rows-columns
If possible, add a screenshot here (you can drag and drop, png, jpg, gif, etc. in this box):

Thanks for catching this @Sky020.
I remember copying the output directly from the repl.it console, but I must have messed up the spacing while adding the hashes. Took another look and this is what the console outputs:
[[ 1 2 3 4 5]
[ 6 7 8 9 10]]
So perhaps it can be:
# Output:
# [[ 1 2 3 4 5]
# [ 6 7 8 9 10]]
Or with the spacing at the end like you suggest:
# Output:
# [[ 1 2 3 4 5 ]
# [ 6 7 8 9 10 ]]
@scissorsneedfoodtoo , well. What was your intent? I assumed the output was there as an example for what the end result should become. Ie. after performing:
a[:, 2] = 20
Or, was the output just another representation of the output of the np.array?
I suggest it be the expected output of the code the user needs to select, as this helps the user clarify what needs to be done.
@Sky020, right, my intent was to show what the expected end result would be after running a[:, 2] = 20. So really the output should be
[[ 1 2 20 4 5]
[ 6 7 20 9 10]]
not
[[ 1 2 3 4 5]
[ 6 7 20 9 10]]
like it is now. My mistake. I must have forgotten to change the output when I was writing these questions.
Is someone working on this? Can I work on this?
@niteshseram , I am unsure of anyone working on this. You can go ahead, if you want.
Okay. I will be working on it.
Most helpful comment
@scissorsneedfoodtoo , well. What was your intent? I assumed the output was there as an example for what the end result should become. Ie. after performing:
Or, was the output just another representation of the output of the
np.array?I suggest it be the expected output of the code the user needs to select, as this helps the user clarify what needs to be done.