Python 对具有多维系数的Hermite_e序列进行特定轴的求导

要对Hermite_e序列进行求导，可以使用Python中的hermite_e.hermeder()方法。第一个参数c是Hermite_e系列系数的数组。如果c是多维的，则不同的轴对应不同的变量，每个轴的阶数由相应的索引给出。

第二个参数m是需要求导的次数，必须为非负数（默认值为1）。第三个参数scl是一个标量。每次求导都会乘以scl。最终结果是乘以scl的m次方。这用于线性变量变换（默认值为1）。第四个参数axis是要对其进行导数的轴（默认值为0）。

步骤

首先，导入所需的库−

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

创建一个多维系数数组 –

c = np.arange(4).reshape(2,2)

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)

要区分Hermite_e系列，可以在Python中使用hermite_e.hermeder()方法

print("\nResult...\n",H.hermeder(c, axis = 1))

示例

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

# Create a multidimensional array of coefficients
c = np.arange(4).reshape(2,2)

# 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 differentiate a Hermite_e series, use the hermite_e.hermeder() method in Python
print("\nResult...\n",H.hermeder(c, axis = 1))

输出

Our Array...
[[0 1]
[2 3]]

Dimensions of our Array...
2

Datatype of our Array object...
int64

Shape of our Array object...
(2, 2)

Result...
[[1.]
[3.]]