将一个多项式转换为Python中的Hermite_e级数

要将多项式转换为Hermite级数，请在Python中使用hermite_e.poly2herme()方法

Numpy. Convert an array representing the coefficients of a polynomial ordered from lowest degree 到最高点，到等效Hermite级数的系数数组，从低到高排序 最高次数。该方法返回一个包含等效系数的一维数组 Hermite系列。参数pol是一个包含多项式系数的1-D数组

步骤

首先，导入所需的库 −

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

使用numpy.array()方法创建一个数组 −

c = np.array([1, 2, 3, 4, 5])

显示数组 −

print("Our Array...\n",c)

检查尺寸 −

print("\nDimensions of our Array...\n",c.ndim)

获取数据类型 −

print("\nDatatype of our Array object...\n",c.dtype)

获取形状 −

print("\nShape of our Array object...\n",c.shape)

要将多项式转换为Hermite级数，请在Python中使用hermite_e.poly2herme()方法

Numpy. Convert an array representing the coefficients of a polynomial ordered from lowest degree 到最高点，到等效Hermite级数的系数数组，从低到高排序 最高学位 −

print("\nResult (polynomial to hermite_e)...\n",H.poly2herme(c))

Example

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

# Create an array using the numpy.array() method
c = np.array([1, 2, 3, 4, 5])

# Display the array
print("Our Array...\n",c)

# Check the Dimensions
print("\nDimensions of our Array...\n",c.ndim)

# Get the Datatype
print("\nDatatype of our Array object...\n",c.dtype)

# Get the Shape
print("\nShape of our Array object...\n",c.shape)

# To convert a polynomial to a Hermite series, use the hermite_e.poly2herme() method in Python Numpy
print("\nResult (polynomial to hermite_e)...\n",H.poly2herme(c))

输出

Our Array...
   [1 2 3 4 5]

Dimensions of our Array...
1

Datatype of our Array object...
int64

Shape of our Array object...
(5,)

Result (polynomial to hermite_e)...
   [19. 14. 33. 4. 5.]

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