Shift a numpy array by an increasing value with each row

Question

I have a numpy array I'll use np.ones((2,3)) as a MWE:

arr = [[1,1,1], 
       [1,1,1], 
       [1,1,1]] 

I wish to shift the rows by a set integer. This will increase with the row. Shift the 1st row by 0 shift the 5th row by 4

I imagine the row length will have to be equal for all rows giving something list this: to give this:

arr = [[1,1,1,0,0], 
       [0,1,1,1,0], 
       [0,0,1,1,1]] 

This is a MWE and the actual arrays are taken from txt files and are up to (1000x96). The important values are not just 1 but any float from 0->inf.

Is there a way of doing this?

(Extra information: these data are for 2D heatmap plotting)

Answer 1

I have the following solution:

import numpy as np
arr = [[1,1,1], 
       [1,1,1], 
       [1,1,1], 
       [1,1,1]] 
arr = np.array(arr)
shift = 1
extend = shift*(np.shape(arr)[0]-1)
arr2 = np.zeros((np.shape(arr)[0],extend+np.shape(arr)[1]))
for i,row in enumerate(arr):
    arr2[i,(i*shift):(i*shift)+3] = row
print(arr2)

[[1. 1. 1. 0. 0. 0.]
 [0. 1. 1. 1. 0. 0.]
 [0. 0. 1. 1. 1. 0.]
 [0. 0. 0. 1. 1. 1.]]