I have a matrix as 2d-np.array and I would like to remove all rows that contain an element x in a specific column. My goal is to return a matrix without these rows, so it should be smaller. My function looks like this: def delete_rows(matrix, x, col): for i in range(matrix.shape[0]-1): if(matrix[i,col] == x): np.delete(matrix, i, axis = 0) return matrix Sadly in my test the shape of the matrix stayed the same after removing rows. I think the deleted rows were substituted by rows with 0s. Any advice on how I can achieve my goal? Continue reading...
