Python | Numpy np.polygrid3d() method
Last Updated :
31 Dec, 2019
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np.polygrid3d() method is used to evaluate a 3-D polynomial series on the Cartesian product of x, y and z.
Syntax : np.polygrid3d(x, y, z, c)
Parameters:
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.
Return : [ndarray] The values of the two dimensional polynomial series at points in the Cartesian product of x and y.
Code #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)
Output:
Code #2 :
[[ 416970. 491223.] [ 635850. 749079.]]
# 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)
Output:
83610.0
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