Python中沿轴1区分具有多维系数的Hermite_e级数

为了区分Hermite_e级数，请使用Python中的hermite_e.hermeder()方法。第一个参数c是一个Hermite_e系数的数组。如果c具有多个维度，则不同的轴对应于具有相应索引的不同变量的不同度。

第二个参数m是所采取的导数数量，必须为非负数。（默认值：1）。第三个参数scl是一个标量。每个区分都乘以scl。最终结果是乘以scl ** m。这用于进行变量的线性变换。（默认值：1）。第4个参数轴是应用导数的轴。（默认值：0）。

步骤

首先，导入所需的库−

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

创建系数的多维数组−

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

显示数组−

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

检查维度−

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，请使用Python中的hermite_e.hermeder()方法−

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

例子

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))

结果

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.]]