numpy.vdot() ทำงานกับอาร์เรย์หลายมิติโดยทำให้แบน (flatten) เป็น 1 มิติก่อนคำนวณ ไม่ได้ทำการคูณเมทริกซ์
ขั้นตอน
import numpy as np
arr1 = np.array([[5, 10], [15, 20]])
arr2 = np.array([[3, 6], [9, 12]])
print("Array1...\n", arr1)
print("\nArray2...\n", arr2)
print("\nDimensions of Array1...\n", arr1.ndim)
print("\nDimensions of Array2...\n", arr2.ndim)
print("\nShape of Array1...\n", arr1.shape)
print("\nShape of Array2...\n", arr2.shape)
print("\nResult...\n", np.vdot(arr1, arr2))
ตัวอย่างโค้ดสมบูรณ์
import numpy as np
arr1 = np.array([[5, 10], [15, 20]])
arr2 = np.array([[3, 6], [9, 12]])
print("Array1...\n", arr1)
print("\nArray2...\n", arr2)
print("\nDimensions of Array1...\n", arr1.ndim)
print("\nDimensions of Array2...\n", arr2.ndim)
print("\nShape of Array1...\n", arr1.shape)
print("\nShape of Array2...\n", arr2.shape)
print("\nResult...\n", np.vdot(arr1, arr2))
ผลลัพธ์
Array1... [[ 5 10] [15 20]] Array2... [[ 3 6] [ 9 12]] Dimensions of Array1... 2 Dimensions of Array2... 2 Shape of Array1... (2, 2) Shape of Array2... (2, 2) Result... 450
