在Python中通过独立变量来乘以Laguerre级数

要通过独立变量来乘以Laguerre级数，在Python中使用polynomial.laguerre.lagmulx()方法。将Laguerre级数c乘以x，其中x是独立变量。参数c是一个从低到高排序的Laguerre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 laguerre as L

创建一个数组−

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

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)

获得形状−

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

要通过一个独立变量来乘以拉盖尔级数，在Python中使用polynomial.laguerre.lagmulx()方法。

print("\nResult....\n",L.lagmulx(c))

示例

import numpy as np
from numpy.polynomial import laguerre as L

# 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 a Laguerre series by an independent variable, use the polynomial.laguerre.lagmulx() method in Python Numpy
print("\nResult....\n",L.lagmulx(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....
   [-1. -1. 11. -9.]