'What is the Easiest way to extract subset of a 2D matrix in python?
mat = [[0, 1, 2, 3, 4, 5],
[6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35]]
Lets say I want to extract upper left 2x2 matrix
[[0, 1,],
[6, 7, ]]
doing mat2=mat[:2][:2] doesnt work.
It extracts the rows correctly but not columns.Seems like I need to loop throughto get the columns.
Additionally I need to do a deepcopy to mat2 suchthat modifying mat2 dont change mat.
Solution 1:[1]
This is because [:2] returns a list containing the first 2 elements of your matrix.
For example :-
arr = [[1, 2], [1, 3]]
print(arr[:2]) # will print the first 2 elements of the array, that is [1, 2] and [1, 3], packed into a list. So, Output : [[1, 2], [1, 3]].
In the same way,
mat = [[0, 1, 2, 3, 4, 5],
[6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35]]
mat2 = mat[:2] # => [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]
# Now, if you again try to get the first 2 elements from mat2 you will get the first 2 elements of mat2, not the first 2 elements of the lists inside mat2.
mat3 = mat2[:2] # => [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]
That is where you went wrong, but this concept is quite counter-intuitive, so no worries.
So the solution would be to get the first 2 elements from matrix mat and then loop over its elements and then get the first 2 elements from them.
Therefore, this should work for you:
list(x[:2] for x in mat[:2])
Or, as @warped pointed, if you can use numpy, you can do the following:
import numpy as np
mat = np.array(mat)
mat[:2, :2]
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | AlveMonke |
