在Python中除以一个Hermite_e级数和另一个级数

要除以一个Hermite_e级数和另一个级数，请使用Python Numpy中的polynomial.hermite.hermediv()方法。该方法返回表示商和余数的Hermite_e级数系数的数组。

返回两个Hermite_e级数c1/c2的带余数商。参数是从最低阶“项”到最高阶的系数序列，例如[1,2,3]表示系列P_0 + 2 * P_1 + 3 * P_2。参数c1和c2是按低到高排序的Hermite_e级数系数的一维数组。

步骤

首先，导入所需的库 –

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

创建Hermite_e级数系数的一维数组 –

c1 = np.array([53., 30., 52., 7., 6.])
c2 = np.array([1, 2, 3])

显示系数的数组 –

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)

检查两个数组的维度 –

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)

要除以一个Hermite_e级数和另一个级数，请使用Python Numpy的polynomial.hermite.hermediv()方法 –

print("\nResult (division)....\n",H.hermediv(c1, c2))

示例

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

# 创建Hermite_e级数系数的一维数组
c1 = np.array([53., 30., 52., 7., 6.])
c2 = np.array([1, 2, 3])

# 显示系数的数组
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)

# 检查两个数组的维度
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)

# 要除以一个Hermite_e级数和另一个级数，请使用Python Numpy的polynomial.hermite.hermediv()方法
print("\nResult (division)....\n",H.hermediv(c1, c2))

输出

Array1...
   [53. 30. 52. 7. 6.]

Array2...
   [1 2 3]

Array1 datatype...
float64

Array2 datatype...
int64

Dimensions of Array1...
1

Dimensions of Array2...
1

Shape of Array1...
(5,)

Shape of Array2...
(3,)

Result (division)....
(array([8., 1., 2.]), array([31., -1.]))