After creating a numpy array, I'm looking to append post creation:
numpy_array = np.zeros(2,3)
numpy_array[0][1].append(4,5)
Where the output for numpy_array[0][1] would be [0,4,5]
What is the best way to do this?
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'numpy.int32' object has no attribute 'append'Shahriar– Shahriar2015-10-28 18:37:02 +00:00Commented Oct 28, 2015 at 18:37
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Is there any way to create a set of arrays you can later append additional values to with numpy?user4159592– user41595922015-10-28 18:37:32 +00:00Commented Oct 28, 2015 at 18:37
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Do you need integer array?Shahriar– Shahriar2015-10-28 18:39:01 +00:00Commented Oct 28, 2015 at 18:39
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I could use integer or string but prefer integeruser4159592– user41595922015-10-28 18:40:03 +00:00Commented Oct 28, 2015 at 18:40
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@AndreL, Did you check that?Shahriar– Shahriar2015-10-28 18:53:57 +00:00Commented Oct 28, 2015 at 18:53
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2 Answers
You can create 2d array of any type like this:
Matrix = [[0 for x in range(5)] for x in range(5)]
For your purpose:
>>> Matrix = [[ [0] for x in range(3)] for x in range(2)]
>>> Matrix[0][1]+=[4,5]
>>> Matrix
[[[0], [0, 4, 5], [0]], [[0], [0], [0]]]
1 Comment
hpaulj
Note that this answer uses Python lists, not numpy arrays. And for this task that probably a good thing.
If you create a numpyp.zeros(2,3) you will get a TypeError (Posting bellow with the code the correct way to use it).
You can copy to numpy array of [0. 0. 0.] the [4, 5] list using:
np.zeros([2,3]) #note the arg is a list type
numpy_array[0][1:3] = [4,5]
This [1:3] get the positions interval.