Is there a efficient (numpy function) way to do element-wise matrix multiplication of two different-sized arrays that will broadcast into a new array. e.g., a = np.arange(24).reshape((2,12)) #gives a 2×12 array b = np.arange(36).reshape((3,12)) #gives a 3×12 array It would then multiply along the dimension with 12 (no summing) to give a final 3-dimensional matrix… Read More Element-wise multidimension matrix multiplication with broadcasting in python

I am trying to see if each value in array is less then 0 then output 0, else output the number itself. The output must have the same dimensions as the input. Currently the input is a 3 by 4 but output is a list. How do I get the output size the same (3… Read More Apply condition in for loop to each element in a list of lists

I have a numpy array like this: array = [[1, 3, 5, 7], [2, 4, 6, 8]] I would like to concatenate them element-wise. Most of the solutions I have found are able to do this with two separate 2d arrays, but I would like to do this within a single 2d array. Desired output:… Read More Concatenate the nested arrays within a single 2d array, element-wise