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法律研究在 Python 中将一个 Hermite_e 级数乘以另一个
要将一个 Hermite_e 级数乘以另一个，请在 Python Numpy 中使用 polynomial.hermite.hermemul() 方法。该方法返回一个数组，表示其乘积的 Hermite_e 级数。返回两个 Hermite_e 级数 c1 * c2 的乘积。参数是有序的系数组合，从最低阶“项”到最高阶，例如 [1,2,3] 表示级数 P_0 + 2*P_1 + 3*P_2。低到高的 Hermite_e 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_e as H
创建 Hermite_e 级数系数的一维数组−
c1 = np.array([1,2,3]) c2 = np.array([3,2,1])
显示系数数组−
print("Array1...\n",c1)
print("\nArray2...\n",c2)显示数据类型−
print("\nArray1 datatype...\n",c1.dtype)
print("\nArray2 datatype...\n",c2.dtype)检查两个数组的维度−
print("\nDimensions of Array1...\n",c1.ndim)
print("\nDimensions of Array2...\n",c2.ndim)检查两个数组的形状−
print("\nShape of Array1...\n",c1.shape)
print("\nShape of Array2...\n",c2.shape)要将一个 Hermite_e 级数乘以另一个，请在 Python Numpy 中使用 polynomial.hermite.hermemul() 方法−
print("\nResult (multiply)....\n",H.hermemul(c1, c2))示例
import numpy as np
from numpy.polynomial import hermite_e as H
# Create 1-D arrays of Hermite_e series coefficients
c1 = np.array([1,2,3])
c2 = np.array([3,2,1])
# Display the arrays of coefficients
print("Array1...\n",c1)
print("\nArray2...\n",c2)
# Display the datatype
print("\nArray1 datatype...\n",c1.dtype)
print("\nArray2 datatype...\n",c2.dtype)
# Check the Dimensions of both the arrays
print("\nDimensions of Array1...\n",c1.ndim)
print("\nDimensions of Array2...\n",c2.ndim)
# Check the Shape of both the arrays
print("\nShape of Array1...\n",c1.shape)
print("\nShape of Array2...\n",c2.shape)
# To multiply one Hermite_e series to another, use the polynomial.hermite.hermemul() method in Python Numpy
print("\nResult (multiply)....\n",H.hermemul(c1, c2))输出
Array1... [1 2 3] Array2... [3 2 1] Array1 datatype... int64 Array2 datatype... int64 Dimensions of Array1... 1 Dimensions of Array2... 1 Shape of Array1... (3,) Shape of Array2... (3,) Result (multiply).... [13. 24. 26. 8. 3.]
更新于：10-Mar-2022
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