#generating another3by3matrixformultiplication matrix_two=np.arange(1,10).reshape(3,3)matrix_two #multiplying the two arrays matrix_multiply=np.dot(matrix_one,matrix_two)matrix_multiply 2. Pandas panda是另一个可以提高您的Python数据科学技能的大型库。就像NumPy一样,它属于SciPy开源软件家族,并且可以...
c=np.multiply(a,b)#c=matrix([[0,2,6],[3,8,15]]) 1. 2. 3. np.dot(a,b) np.dot(a,b) Dot product of two arrays.数组a和数组b的点积。 点积是两个向量上的函数并返回一个标量的二元运算;是内积的一种特殊形式。 根据数组a和数组b的维度不同,运算过程也不相同: 1. 2. 3. 4. (1...
//mylib代表封装的python模块名 m.def("np_sum", &np_sum, "Add two Numpy arrays use cuda"); m.def("Gpu_mul", &np_multiply, "Multuply tow arrays use cuda flag==1 use shared memory,flag==2 use global memory"); m.def("Gpu_Cublas", &np_multiply_Cublas, "Multuply tow arrays u...
# Python program using TensorFlow # for multiplying two arrays # import `tensorflow` import tensorflow as tf # Initialize two constants x1 = tf.constant([1, 2, 3, 4]) x2 = tf.constant([5, 6, 7, 8]) # Multiply result = tf.multiply(x1, x2) # Initialize the Session sess = tf....
matrix_two = np.arange(1,10).reshape(3,3) matrix_two #multiplying the two arrays matrix_multiply = np.dot(matrix_one, matrix_two) matrix_multiply 2. Pandas panda是另一个可以提高您的Python数据科学技能的大型库。就像NumPy一样,它属于SciPy开源软件家...
multiply(x1, x2[, out]) 乘法 divide(x1, x2[, out]) 除法 power(x1, x2[, out]) 幂运算 subtract(x1, x2[, out]) 减法 true_divide(x1, x2[, out]) 真除法 / floor_divide(x1, x2[, out]) 向下取整除法 // fmod(x1, x2[, out]) 求余 mod(x1, x2[, out]) 求余,余数为正...
# Program to multiply two matrices using nested loops # 3x3 matrix X = [[12,7,3], [4 ,5,6], [7 ,8,9]] # 3x4 matrix Y = [[5,8,1,2], [6,7,3,0], [4,5,9,1]] # result is 3x4 result = [[0,0,0,0], [0,0,0,0], [0,0,0,0]] # iterate through rows of...
import numpy as np #generating a 3 by 3 identity matrix matrix_one = np.eye(3) matrix_one #generating another 3 by 3 matrix for multiplication matrix_two = np.arange(1,10).reshape(3,3) matrix_two #multiplying the two arrays matrix_multiply = np.dot(matrix_one, matrix_two) matrix_...
*,np.multiply() 对应元素积 (element-wise product) np.divide() 逐元素除(element-wise division) np.matmul()(或符号@) 矩阵乘积 np.linalg.norm(x)L2-Norm L2-norm and the Euclidean distance can be calculated bynp.linalg.norm(x1-x2). ...
import numpy as np nums1 = np.array([[2, 5, 2], [1, 5, 5]]) nums2 = np.array([[5, 3, 4], [3, 2, 5]]) print("Array1:") print(nums1) print("Array2:") print(nums2) print("\nMultiply said arrays of same size element-by-element:") print(np.multiply(nums1, num...