np.laggrid3d()
方法用于评估x,y和z的笛卡尔积的3-D Laguerre级数。
用法:np.laggrid3d(x, y, z, c)
参数:
x, y, z :[array_like]The three dimensional series is evaluated at the points in the Cartesian product of x, y and z. If x or y or z is a list or tuple, it is first converted to an ndarray, otherwise it is left unchanged and, if it isn’t an ndarray, it is treated as a scalar.
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.
返回:[ndarray]二维Chebyshev系列在x和y的笛卡尔积上的点的值。
代码1:
# Python program explaining
# numpy.laggrid3d() method
# importing numpy as np
import numpy as np
from numpy.polynomial.laguerre import laggrid3d
# Input laguerre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]])
# using np.laggrid3d() method
ans = laggrid3d([7, 9], [8, 10], [5, 6], c)
print(ans)
输出:
[[ -9521.5 -12198. ] [-19782.5 -25346. ]]
代码2:
# Python program explaining
# numpy.laggrid3d() method
# importing numpy as np
import numpy as np
from numpy.polynomial.laguerre import laggrid3d
# Input laguerre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]])
# using np.laggrid3d() method
ans = laggrid3d(7, 11, 12, c)
print(ans)
输出:
3275.5
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