In Python S is not an array, it is a list. There is a very big difference betweeb the two types of ...

When you multiply a sequence by X in Python, it doesn't multiply each member of the sequence - what it does is to repeat the sequence X times. That's why X has to be an integer (it can't be a float). What you want to do is to use a list comprehension: hh = [[82.5], [168.5]] N = 1.0 / 5 ll = [[x*N for x in y] for y in hh]

Jul 19, 2018 · numpy multiply array elements with another array. 2. Python: How to multiply elements from one array with ...

Feb 3, 2016 · Since I think you are new with Python, lets do the long way, iterate thru your list using for loop and multiply and append each element to a new list. using for loop. lst = [5, 20 ,15] product = [] for i in lst: product.append(i*5) print product using list comprehension, this is also same as using for-loop but more 'pythonic'

Aug 30, 2013 · I'm trying to multiply each of the terms in a 2D array by the corresponding terms in a 1D array. This is very easy if I want to multiply every column by the 1D array, as shown in the numpy.multiply function. But I want to do the opposite, multiply each term in the row. In other words I want to multiply: [1,2,3] [0] [4,5,6] * [1] [7,8,9] [2] and get

Oct 14, 2016 · For elementwise multiplication of matrix objects, you can use numpy.multiply: import numpy as np a = np.array([[1,2],[3,4]]) b = np.array([[5,6],[7,8]]) np.multiply(a,b) Result. array([[ 5, 12], [21, 32]]) However, you should really use array instead of matrix. matrix objects have all sorts of horrible incompatibilities with regular ndarrays.

Dec 12, 2012 · In Python 3.8 and up, the math standard library module provides .prod for this purpose: math.prod(iterable, *, start=1) The method returns the product of a start value (default: 1) times an iterable of numbers:

Jun 2, 2015 · Python: Numpy Multiply each row of a array with each rows of another array. 1. How to multiply one element ...

Apr 19, 2013 · numpy.multiply(x1, x2[, out]) multiply takes exactly two input arrays. The optional third argument is an output array which can be used to store the result. (If it isn't provided, a new array is created and returned.) When you passed three arrays, the third array was overwritten with the product of the first two.

Apr 28, 2011 · This is continued from thread: Python array multiply I need to multiply array vs array. I don't want to use "numpy". From previous thread, I learned how to multiply number*array: hh=[[82.5], [1...