np.polygrid3d()
方法用于评估x,y和z的笛卡尔积的3-D多项式级数。
用法:np.polygrid3d(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] polynomial series coefficients.
返回:[ndarray]在x和y的笛卡尔积中的点处的二维多项式序列的值。
代码1:
# Python program explaining
# numpy.polygrid3d() method
# importing numpy as np
import numpy as np
from numpy.polynomial.polynomial import polygrid3d
# Input polynomial series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]])
# using np.polygrid3d() method
ans = polygrid3d([7, 9], [8, 10], [5, 6], c)
print(ans)
输出:
[[ 416970. 491223.] [ 635850. 749079.]]
代码2:
# Python program explaining
# numpy.polygrid3d() method
# importing numpy as np
import numpy as np
from numpy.polynomial.polynomial import polygrid3d
# Input polynomial series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]])
# using np.polygrid3d() method
ans = polygrid3d(7, 11, 12, c)
print(ans)
输出:
83610.0
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注:本文由纯净天空筛选整理自jana_sayantan大神的英文原创作品 Python | Numpy np.polygrid3d() method。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。