เมธอด polynomial.hermite.hermadd() บวกอนุกรมเฮอร์ไมท์สองอนุกรม คืนค่าอาร์เรย์ผลรวม
ขั้นตอน
import numpy as np
from numpy.polynomial import hermite as H
c1 = np.array([1, 2, 3])
c2 = np.array([3, 2, 1])
print("Array1...\n", c1)
print("\nArray2...\n", c2)
print("\nArray1 datatype...\n", c1.dtype)
print("\nArray2 datatype...\n", c2.dtype)
print("\nDimensions of Array1...\n", c1.ndim)
print("\nDimensions of Array2...\n", c2.ndim)
print("\nShape of Array1...\n", c1.shape)
print("\nShape of Array2...\n", c2.shape)
print("\nResult (sum)....\n", H.hermadd(c1, c2))
ตัวอย่างโค้ดสมบูรณ์
import numpy as np
from numpy.polynomial import hermite as H
c1 = np.array([1, 2, 3])
c2 = np.array([3, 2, 1])
print("Array1...\n", c1)
print("\nArray2...\n", c2)
print("\nArray1 datatype...\n", c1.dtype)
print("\nArray2 datatype...\n", c2.dtype)
print("\nDimensions of Array1...\n", c1.ndim)
print("\nDimensions of Array2...\n", c2.ndim)
print("\nShape of Array1...\n", c1.shape)
print("\nShape of Array2...\n", c2.shape)
print("\nResult (sum)....\n", H.hermadd(c1, c2))
ผลลัพธ์
Array1... [1 2 3] Array2... [3 2 1] Array1 datatype... int64 Array2 datatype... int64 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (3,) Shape of Array2... (3,) Result (sum).... [4. 4. 4.]
