在Python中将一个Hermite_e级数加到另一个上

要将一个Hermite_e级数加到另一个上，请使用Python NumPy中的polynomial.hermite.heremadd()方法。该方法返回一个表示它们和的Hermite_e级数的数组。返回两个Hermite_e级数c1 + c2的和。参数是从最低阶项到最高阶项排序的系数序列，例如，[1,2,3]表示系列P_0 + 2*P_1 + 3*P_2。参数c1和c2是按从低到高排序的1-D Hermite_e级数系数数组。

步骤

首先，导入所需的库 –

import numpy as np
from numpy.polynomial import hermite_e as H

创建Hermite_e系数的一维数组 –

c1 = np.array([1,2,3])
c2 = np.array([3,2,1])

显示系数数组 –

print("Array1...\n",c1)
print("\nArray2...\n",c2)

显示数据类型 –

print("\nArray1 datatype...\n",c1.dtype)
print("\nArray2 datatype...\n",c2.dtype)

检查两个数组的尺寸 –

print("\nDimensions of Array1...\n",c1.ndim)
print("\nDimensions of Array2...\n",c2.ndim)

检查两个数组的形状-

print("\nShape of Array1...\n",c1.shape)
print("\nShape of Array2...\n",c2.shape)

将一个Hermite_e系列添加到另一个系列中，请使用Python中的polyomial.hermite.heremadd()方法 Numpy −

print("\nResult (sum)....\n",H.hermeadd(c1, c2))

示例

import numpy as np
from numpy.polynomial import hermite_e as H

# Create 1-D arrays of Hermite_e series coefficients
c1 = np.array([1,2,3])
c2 = np.array([3,2,1])

# Display the arrays of coefficients
print("Array1...\n",c1)
print("\nArray2...\n",c2)

# Display the datatype
print("\nArray1 datatype...\n",c1.dtype)
print("\nArray2 datatype...\n",c2.dtype)

# Check the Dimensions of both the arrays
print("\nDimensions of Array1...\n",c1.ndim)
print("\nDimensions of Array2...\n",c2.ndim)

# Check the Shape of both the arrays
print("\nShape of Array1...\n",c1.shape)
print("\nShape of Array2...\n",c2.shape)

# To add one Hermite_e series to another, use the polynomial.hermite.heremadd() method in Python Numpy
print("\nResult (sum)....\n",H.hermeadd(c1, c2))

输出

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.]