在Python中将Hermite级数乘以独立变量

要将Hermite级数乘以x（其中x是独立变量），请使用Python Numpy中的polynomial.hermite.hermmulx()方法。该方法返回表示乘法结果的数组。参数c是按照从低到高的顺序排列的Hermite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

创建一个数组 –

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

将数组显示为：

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)

将 Hermite 级数乘以自变量 x，可使用 polynomial.hermite.hermmulx() 方法。

print("\nResult....\n",H.hermmulx(c))

示例

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

# Create an array
c = np.array([1, 2, 3])

# 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 multiply the Hermite series by x, where x is the independent variable, use the polynomial.hermite.hermmulx() method in Python Numpy
print("\nResult....\n",H.hermmulx(c))

输出

Our Array...
   [1 2 3]

Dimensions of our Array...
1

Datatype of our Array object...
int64

Shape of our Array object...
(3,)

Result....
   [2. 6.5 1. 1.5]