I’m trying to view the frequency of the elements in a 2d array as in the code: Expected result: ({(22, 66): 2, (33, 77): 1, (55, 99): 1}) But I get: Answer Create a list of tuples: (tuples are hashable) Now Counter works: numpys own unique also works
Tag: multidimensional-array
(Conv1D) Tensorflow and Jax Resulting Different Outputs for The Same Input
I am trying to use conv1d functions to make a transposed convlotion repectively at jax and tensorflow. I read the documentation of both of jax and tensorflow for the con1d_transposed operation but they are resulting with different outputs for the same input. I can not find out what the problem is. And I don’t know which one produces the correct
Ordering a two-dimensional array relative to the main diagonal
Given a two-dimensional array T of size NxN, filled with various natural numbers (They do not have to be sorted in any way as in the example below.). My task is to write a program that transforms the array in such a way that all elements lying above the main diagonal are larger than each element lying on the diagonal
Divide matrix into submatrix python
The program must accept an integer matrix of size R*C and four integers X, Y, P, Q as the input. The program must divide the matrix into nine submatrices based on the following condition. The program must divide the matrix horizontally after the Xth row and Yth row. Then the program must divide the matrix vertically after the Pth column
Smallest Submatrix in python
It contains an R*C matrix with unique digits. I have to print the submatrix having minimum and maximum integer This is my code: I need a solution without a NumPy array. I found the max and min values and also their index. After that, I don’t know what to do. Answer You can iterate over matrix again and get only
How to length the last dimension of a numpy array and fill it up with another array?
I have a numpy array of shape (5, 4, 3) and another numpy array of shape (4,) and what I want to do is expand the last dimension of the first array (5, 4, 3) -> (5, 4, 4) and then broadcast the other array with shape (4,) such that it fills up the new array cells respectively. Example: becomes
How to multiply specific rows/columns of matrices with each other in python?
I have to input matrices of shape I want to multiply each row (each n of size 3) with its correspondence of the other matrix, such that i get a (3,3) matrix for each row. When im trying to just use e.g. m1[0]@m2.T[0] the operation doesnt work, as m[0] delivers a (3,) list instead of a (3,1) matrix, on which
Explain the logic of ‘Count of N-digit numbers with absolute difference of adjacent digits not exceeding K’ in Detail
Can someone please help me understand the logic of following Dynamic Programmming question Found this one at geeksforgeeks.com. I am unable to understand even after going through the answer provided. …
Accessing JSON Elements W/ Python
I want to access the individual data for ‘vin’, ‘make’, ‘year’, etc and export to a csv. I have tried accessing it by response = requests.request(“POST”, url, headers=headers, data=payload, …
Select a random element from a 2d array list in python
I currently have a 2d array generated by this code: for y in range(width): self.grid.append([]) for x in range(width): self.grid[y].append(Cell(x, y)) If I want to select a random …