Python Copy 输出: Arrayof lettersis:[5678]Arrayof numbersis:[1234]Arrayone dimension:1Arraytwo dimension1Shapeof array1is:(4,)Shapeof array2is:(4,)Outerproduct:[[5101520][6121824][7142128][8162432]] Python Copy
# Compute outer product of vectors v = np.array([1,2,3]) # v has shape (3,) w = np.array([4,5]) # w has shape (2,) # To compute an outer product, we first reshape v to be a column # vector of shape (3, 1); we can then broadcast it against w to yield # an out...
# Compute outer product of vectors v = np.array([1,2,3]) # v has shape (3,) w = np.array([4,5]) # w has shape (2,) # To compute an outer product, we first reshape v to be a column # vector of shape (3, 1); we can then broadcast it against w to yield # an out...
numpy.outer(a,b,out=None) 代码: Python3 # Python Program illustrating# numpy.outer() methodimportnumpyasnp# Vectorsa=np.array([2,6])b=np.array([3,10])print("Vectors :")print("a = ",a)print("\nb = ",b)# Outer product of vectorsprint("\nOuter product of vectors a and b =...
importnumpy as np#Compute outer product of vectorsv = np.array([1,2,3])#v has shape (3,)w = np.array([4,5])#w has shape (2,)#To compute an outer product, we first reshape v to be a column#vector of shape (3, 1); we can then broadcast it against w to yield#an ...
# Compute outer product of vectors v = np.array([1,2,3]) # v has shape (3,) w = np.array([4,5]) # w has shape (2,) # To compute an outer product, we first reshape v to be a column # vector of shape (3, 1); we can then broadcast it against w to yield ...
import numpy as np # Compute outer product of vectors v = np.array([1,2,3]) # v has shape (3,) w = np.array([4,5]) # w has shape (2,) # To compute an outer product, we first reshape v to be a column # vector of shape (3, 1); we can then broadcast it against w...
Matrices and vectors. x: [ 1. 4. 0.] y: [ 2. 2. 1.] Inner product of x and y: 10.0 Outer product of x and y: [[ 2. 2. 1.] [ 8. 8. 4.] [ 0. 0. 0.]] Cross product of x and y: [ 4. -1. -6.]
import numpy as np # Compute outer product of vectors v = np.array([1,2,3]) # v has shape (3,) w = np.array([4,5]) # w has shape (2,) # To compute an outer product, we first reshape v to be a column # vector of shape (3, 1); we can then broadcast it against w...
# 需要導入模塊: import numpy [as 別名]# 或者: from numpy importfrexp[as 別名]defrobust_outer_product(vec_1, vec_2):""" Calculates a 'robust' outer product of two vectors that may or may not contain very small values. Parameters ...