HEADLESS_0NE - 3 months ago 38

Python Question

Essentially, I'm looking for an efficient piece of code to generate the following matrix:

`[[1 2 3 4 5]`

[2 3 4 5 6]

[3 4 5 6 7]

[4 5 6 7 8]

[5 6 7 8 9]]

I came up with the following, which works, but it's not particularly pretty, and I was thinking there's probably a way to really utilize

`numpy`

`import copy`

import numpy as np

identity_count = 5

priority_matrix = np.identity(identity_count, dtype=int)

rating_start = 1

maximum_rating = identity_count * 2

rating_range = range(rating_start, maximum_rating)

priority_copy = copy.copy(priority_matrix)

for row_idx, row in enumerate(priority_copy):

rating_pos = 0

for col_idx, item in enumerate(row):

priority_matrix[row_idx][col_idx] = rating_range[rating_pos]

rating_pos += 1

rating_start += 1

rating_range = range(rating_start, maximum_rating)

print(np.matrix(priority_matrix))

There has to be a more efficient way of doing this (doesn't need to be with

`numpy`

Thank you!

Answer

You can achieve this in a simple one-liner with a list comprehension. I'm afraid that I don't know a `numpy`

-specific way of doing this, but you could always convert to an array afterwards.

`matrix = [[x for x in range(y,y+5)] for y in range(1,6)]`