Python | Numpy np.leggrid3d()方法
原文:https://www . geesforgeks . org/python-numpy-NP-leggrid 3d-method/
**np.leggrid3d()**方法用于计算 x，y 和 z 的笛卡尔乘积上的三维勒让德级数。
语法:
np.leggrid3d(x, y, z, c)参数: x，y，z:【array _ like】三维数列在 x，y，z 的笛卡儿积中的点处求值。如果 x 或 y 或 z 是列表或元组，则首先将其转换为数组，否则保持不变，如果不是数组，则将其视为标量。 c:【array _ like】勒让德级数系数。返回:【ndarray】二维勒让德级数在 x 和 y 的笛卡尔乘积中的点上的值。
代码#1 :
# Python program explaining
# numpy.leggrid3d() method
# importing numpy as np
import numpy as np
from numpy.polynomial.legendre import leggrid3d
# Input legendre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]])
# using np.leggrid3d() method
ans = leggrid3d([7, 9], [8, 10], [5, 6], c)
print(ans)
Output:
[[ 878011\. 1034500.5]
[ 1351191\. 1592014.5]]
代码#2 :
# Python program explaining
# numpy.leggrid3d() method
# importing numpy as np
import numpy as np
from numpy.polynomial.legendre import leggrid3d
# Input legendre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]])
# using np.leggrid3d() method
ans = leggrid3d(7, 11, 12, c)
print(ans)
Output:
176982.0
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