Python - How to get z value from given x, y after surface discrete 3D points (x,y,z)












0















I am newbie at Python. I am using a block code to draw the surface from discrete 3D points as a block code below:



#!/usr/bin/python3

import sys
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from scipy import array, newaxis

DATA = array([
[-0.807237702464, 0.904373229492, 111.428744443],
[-0.802470821517, 0.832159465335, 98.572957317],
[-0.801052795982, 0.744231916692, 86.485869328],
[-0.802505546206, 0.642324228721, 75.279804677],
[-0.804158144115, 0.52882485495, 65.112895758],
[-0.806418040943, 0.405733109371, 56.1627277595],
[-0.808515314192, 0.275100227689, 48.508994388],
[-0.809879521648, 0.139140394575, 42.1027499025],
[-0.810645106092, -7.48279012695e-06, 36.8668106345],
[-0.810676720161, -0.139773175337, 32.714580273],
[-0.811308686707, -0.277276065449, 29.5977405865],
[-0.812331692291, -0.40975978382, 27.6210856615],
[-0.816075037319, -0.535615685086, 27.2420699235],
[-0.823691366944, -0.654350489595, 29.1823292975],
[-0.836688691603, -0.765630198427, 34.2275056775],
[-0.854984518665, -0.86845932028, 43.029581434],
[-0.879261949054, -0.961799684483, 55.9594146815],
[-0.740499820944, 0.901631050387, 97.0261463995],
[-0.735011699497, 0.82881933383, 84.971061395],
[-0.733021568161, 0.740454485354, 73.733621269],
[-0.732821755233, 0.638770044767, 63.3815970475],
[-0.733876941678, 0.525818698874, 54.0655910105],
[-0.735055978521, 0.403303715698, 45.90859502],
[-0.736448900325, 0.273425879041, 38.935709456],
[-0.737556181137, 0.13826504904, 33.096106049],
[-0.738278724065, -9.73058423274e-06, 28.359664343],
[-0.738507612286, -0.138781586244, 24.627237837],
[-0.738539663773, -0.275090412979, 21.857410904],
[-0.739099040189, -0.406068448513, 20.1110519655],
[-0.741152200369, -0.529726022182, 19.7019157715],
])

Xs = DATA[:,0]
Ys = DATA[:,1]
Zs = DATA[:,2]

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

surf = ax.plot_trisurf(Xs, Ys, Zs, cmap=cm.jet, linewidth=0)
fig.colorbar(surf)

ax.xaxis.set_major_locator(MaxNLocator(5))
ax.yaxis.set_major_locator(MaxNLocator(6))
ax.zaxis.set_major_locator(MaxNLocator(5))

fig.tight_layout()
plt.show()


Now I want to get Z value from any X and Y like z = f(x,y) but I don't know how can i do it.
Anyone have solution to help me.



Thank you so much.










share|improve this question




















  • 1





    Are your points unique? in other words, is your surface/function guaranteed to not have 2 different Z coordinates with the same X and Y combination?

    – robotHamster
    Nov 14 '18 at 8:52











  • Do you want to get the z value at an exact point, or do you want to get the nearest neighbor z value?

    – Nils Werner
    Nov 15 '18 at 9:40
















0















I am newbie at Python. I am using a block code to draw the surface from discrete 3D points as a block code below:



#!/usr/bin/python3

import sys
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from scipy import array, newaxis

DATA = array([
[-0.807237702464, 0.904373229492, 111.428744443],
[-0.802470821517, 0.832159465335, 98.572957317],
[-0.801052795982, 0.744231916692, 86.485869328],
[-0.802505546206, 0.642324228721, 75.279804677],
[-0.804158144115, 0.52882485495, 65.112895758],
[-0.806418040943, 0.405733109371, 56.1627277595],
[-0.808515314192, 0.275100227689, 48.508994388],
[-0.809879521648, 0.139140394575, 42.1027499025],
[-0.810645106092, -7.48279012695e-06, 36.8668106345],
[-0.810676720161, -0.139773175337, 32.714580273],
[-0.811308686707, -0.277276065449, 29.5977405865],
[-0.812331692291, -0.40975978382, 27.6210856615],
[-0.816075037319, -0.535615685086, 27.2420699235],
[-0.823691366944, -0.654350489595, 29.1823292975],
[-0.836688691603, -0.765630198427, 34.2275056775],
[-0.854984518665, -0.86845932028, 43.029581434],
[-0.879261949054, -0.961799684483, 55.9594146815],
[-0.740499820944, 0.901631050387, 97.0261463995],
[-0.735011699497, 0.82881933383, 84.971061395],
[-0.733021568161, 0.740454485354, 73.733621269],
[-0.732821755233, 0.638770044767, 63.3815970475],
[-0.733876941678, 0.525818698874, 54.0655910105],
[-0.735055978521, 0.403303715698, 45.90859502],
[-0.736448900325, 0.273425879041, 38.935709456],
[-0.737556181137, 0.13826504904, 33.096106049],
[-0.738278724065, -9.73058423274e-06, 28.359664343],
[-0.738507612286, -0.138781586244, 24.627237837],
[-0.738539663773, -0.275090412979, 21.857410904],
[-0.739099040189, -0.406068448513, 20.1110519655],
[-0.741152200369, -0.529726022182, 19.7019157715],
])

Xs = DATA[:,0]
Ys = DATA[:,1]
Zs = DATA[:,2]

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

surf = ax.plot_trisurf(Xs, Ys, Zs, cmap=cm.jet, linewidth=0)
fig.colorbar(surf)

ax.xaxis.set_major_locator(MaxNLocator(5))
ax.yaxis.set_major_locator(MaxNLocator(6))
ax.zaxis.set_major_locator(MaxNLocator(5))

fig.tight_layout()
plt.show()


Now I want to get Z value from any X and Y like z = f(x,y) but I don't know how can i do it.
Anyone have solution to help me.



Thank you so much.










share|improve this question




















  • 1





    Are your points unique? in other words, is your surface/function guaranteed to not have 2 different Z coordinates with the same X and Y combination?

    – robotHamster
    Nov 14 '18 at 8:52











  • Do you want to get the z value at an exact point, or do you want to get the nearest neighbor z value?

    – Nils Werner
    Nov 15 '18 at 9:40














0












0








0








I am newbie at Python. I am using a block code to draw the surface from discrete 3D points as a block code below:



#!/usr/bin/python3

import sys
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from scipy import array, newaxis

DATA = array([
[-0.807237702464, 0.904373229492, 111.428744443],
[-0.802470821517, 0.832159465335, 98.572957317],
[-0.801052795982, 0.744231916692, 86.485869328],
[-0.802505546206, 0.642324228721, 75.279804677],
[-0.804158144115, 0.52882485495, 65.112895758],
[-0.806418040943, 0.405733109371, 56.1627277595],
[-0.808515314192, 0.275100227689, 48.508994388],
[-0.809879521648, 0.139140394575, 42.1027499025],
[-0.810645106092, -7.48279012695e-06, 36.8668106345],
[-0.810676720161, -0.139773175337, 32.714580273],
[-0.811308686707, -0.277276065449, 29.5977405865],
[-0.812331692291, -0.40975978382, 27.6210856615],
[-0.816075037319, -0.535615685086, 27.2420699235],
[-0.823691366944, -0.654350489595, 29.1823292975],
[-0.836688691603, -0.765630198427, 34.2275056775],
[-0.854984518665, -0.86845932028, 43.029581434],
[-0.879261949054, -0.961799684483, 55.9594146815],
[-0.740499820944, 0.901631050387, 97.0261463995],
[-0.735011699497, 0.82881933383, 84.971061395],
[-0.733021568161, 0.740454485354, 73.733621269],
[-0.732821755233, 0.638770044767, 63.3815970475],
[-0.733876941678, 0.525818698874, 54.0655910105],
[-0.735055978521, 0.403303715698, 45.90859502],
[-0.736448900325, 0.273425879041, 38.935709456],
[-0.737556181137, 0.13826504904, 33.096106049],
[-0.738278724065, -9.73058423274e-06, 28.359664343],
[-0.738507612286, -0.138781586244, 24.627237837],
[-0.738539663773, -0.275090412979, 21.857410904],
[-0.739099040189, -0.406068448513, 20.1110519655],
[-0.741152200369, -0.529726022182, 19.7019157715],
])

Xs = DATA[:,0]
Ys = DATA[:,1]
Zs = DATA[:,2]

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

surf = ax.plot_trisurf(Xs, Ys, Zs, cmap=cm.jet, linewidth=0)
fig.colorbar(surf)

ax.xaxis.set_major_locator(MaxNLocator(5))
ax.yaxis.set_major_locator(MaxNLocator(6))
ax.zaxis.set_major_locator(MaxNLocator(5))

fig.tight_layout()
plt.show()


Now I want to get Z value from any X and Y like z = f(x,y) but I don't know how can i do it.
Anyone have solution to help me.



Thank you so much.










share|improve this question
















I am newbie at Python. I am using a block code to draw the surface from discrete 3D points as a block code below:



#!/usr/bin/python3

import sys
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from scipy import array, newaxis

DATA = array([
[-0.807237702464, 0.904373229492, 111.428744443],
[-0.802470821517, 0.832159465335, 98.572957317],
[-0.801052795982, 0.744231916692, 86.485869328],
[-0.802505546206, 0.642324228721, 75.279804677],
[-0.804158144115, 0.52882485495, 65.112895758],
[-0.806418040943, 0.405733109371, 56.1627277595],
[-0.808515314192, 0.275100227689, 48.508994388],
[-0.809879521648, 0.139140394575, 42.1027499025],
[-0.810645106092, -7.48279012695e-06, 36.8668106345],
[-0.810676720161, -0.139773175337, 32.714580273],
[-0.811308686707, -0.277276065449, 29.5977405865],
[-0.812331692291, -0.40975978382, 27.6210856615],
[-0.816075037319, -0.535615685086, 27.2420699235],
[-0.823691366944, -0.654350489595, 29.1823292975],
[-0.836688691603, -0.765630198427, 34.2275056775],
[-0.854984518665, -0.86845932028, 43.029581434],
[-0.879261949054, -0.961799684483, 55.9594146815],
[-0.740499820944, 0.901631050387, 97.0261463995],
[-0.735011699497, 0.82881933383, 84.971061395],
[-0.733021568161, 0.740454485354, 73.733621269],
[-0.732821755233, 0.638770044767, 63.3815970475],
[-0.733876941678, 0.525818698874, 54.0655910105],
[-0.735055978521, 0.403303715698, 45.90859502],
[-0.736448900325, 0.273425879041, 38.935709456],
[-0.737556181137, 0.13826504904, 33.096106049],
[-0.738278724065, -9.73058423274e-06, 28.359664343],
[-0.738507612286, -0.138781586244, 24.627237837],
[-0.738539663773, -0.275090412979, 21.857410904],
[-0.739099040189, -0.406068448513, 20.1110519655],
[-0.741152200369, -0.529726022182, 19.7019157715],
])

Xs = DATA[:,0]
Ys = DATA[:,1]
Zs = DATA[:,2]

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

surf = ax.plot_trisurf(Xs, Ys, Zs, cmap=cm.jet, linewidth=0)
fig.colorbar(surf)

ax.xaxis.set_major_locator(MaxNLocator(5))
ax.yaxis.set_major_locator(MaxNLocator(6))
ax.zaxis.set_major_locator(MaxNLocator(5))

fig.tight_layout()
plt.show()


Now I want to get Z value from any X and Y like z = f(x,y) but I don't know how can i do it.
Anyone have solution to help me.



Thank you so much.







python matplotlib






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 14 '18 at 12:57







Tan Duong

















asked Nov 14 '18 at 8:46









Tan DuongTan Duong

42




42








  • 1





    Are your points unique? in other words, is your surface/function guaranteed to not have 2 different Z coordinates with the same X and Y combination?

    – robotHamster
    Nov 14 '18 at 8:52











  • Do you want to get the z value at an exact point, or do you want to get the nearest neighbor z value?

    – Nils Werner
    Nov 15 '18 at 9:40














  • 1





    Are your points unique? in other words, is your surface/function guaranteed to not have 2 different Z coordinates with the same X and Y combination?

    – robotHamster
    Nov 14 '18 at 8:52











  • Do you want to get the z value at an exact point, or do you want to get the nearest neighbor z value?

    – Nils Werner
    Nov 15 '18 at 9:40








1




1





Are your points unique? in other words, is your surface/function guaranteed to not have 2 different Z coordinates with the same X and Y combination?

– robotHamster
Nov 14 '18 at 8:52





Are your points unique? in other words, is your surface/function guaranteed to not have 2 different Z coordinates with the same X and Y combination?

– robotHamster
Nov 14 '18 at 8:52













Do you want to get the z value at an exact point, or do you want to get the nearest neighbor z value?

– Nils Werner
Nov 15 '18 at 9:40





Do you want to get the z value at an exact point, or do you want to get the nearest neighbor z value?

– Nils Werner
Nov 15 '18 at 9:40












2 Answers
2






active

oldest

votes


















0














This is a simple numpy array comparison and indexing problem. For a given pair of x, y



xy = numpy.array([-0.802470821517, 0.832159465335])


we can compare all rows to this at once, using



numpy.isclose(DATA[:, :2], xy)
# array([[False, False],
# [ True, True],
# [False, False],
# ....
# [False, False],
# [False, False]])


This will give us two boolean values per row, one for x and one for y. We are only interested in rows where both are True, so



numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1)
# array([False, True, False, ..., False, False, False, False])


The result we can then use to index DATA again, and extract z like



DATA[numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1), -1]
# array([98.57295732])





share|improve this answer
























  • Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

    – Tan Duong
    Nov 14 '18 at 13:06






  • 1





    Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

    – Nils Werner
    Nov 15 '18 at 9:40



















0














If you want to to turn this array of points into a continuous function with input x,y and output z, you need to describe it with a model. A model allows for interpolation of points.



I assume this array of points describes a surface plot, but plotting it is unnecessary.



A surface plot looks like this (I can only provide the link):
surface plot



Each quadrilateral in the surface plot is defined by 4 points and represents part of a plane. So, a function to describe your array would be piece wise of all the different planes which make up your surface plot.



A plane requires 3 points to define it, so create a function to go through the array selecting 3 points in order, finding the equation of the plane and then adding it to an array of equations.



Code to find equation given 3 points:



def equation_plane(x1, y1, z1, x2, y2, z2, x3, y3, z3):    
a1 = x2 - x1
b1 = y2 - y1
c1 = z2 - z1
a2 = x3 - x1
b2 = y3 - y1
c2 = z3 - z1
a = b1 * c2 - b2 * c1
b = a2 * c1 - a1 * c2
c = a1 * b2 - b1 * a2
d = (- a * x1 - b * y1 - c * z1)
print "equation of plane is ",
print a, "x +",
print b, "y +",
print c, "z +",
print d, "= 0."


Then for a given x and y find which plane contains these x and y points (use code similar to nils werners answer), get the corresponding equation and use that function to get the z coordinate.






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    2 Answers
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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    This is a simple numpy array comparison and indexing problem. For a given pair of x, y



    xy = numpy.array([-0.802470821517, 0.832159465335])


    we can compare all rows to this at once, using



    numpy.isclose(DATA[:, :2], xy)
    # array([[False, False],
    # [ True, True],
    # [False, False],
    # ....
    # [False, False],
    # [False, False]])


    This will give us two boolean values per row, one for x and one for y. We are only interested in rows where both are True, so



    numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1)
    # array([False, True, False, ..., False, False, False, False])


    The result we can then use to index DATA again, and extract z like



    DATA[numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1), -1]
    # array([98.57295732])





    share|improve this answer
























    • Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

      – Tan Duong
      Nov 14 '18 at 13:06






    • 1





      Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

      – Nils Werner
      Nov 15 '18 at 9:40
















    0














    This is a simple numpy array comparison and indexing problem. For a given pair of x, y



    xy = numpy.array([-0.802470821517, 0.832159465335])


    we can compare all rows to this at once, using



    numpy.isclose(DATA[:, :2], xy)
    # array([[False, False],
    # [ True, True],
    # [False, False],
    # ....
    # [False, False],
    # [False, False]])


    This will give us two boolean values per row, one for x and one for y. We are only interested in rows where both are True, so



    numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1)
    # array([False, True, False, ..., False, False, False, False])


    The result we can then use to index DATA again, and extract z like



    DATA[numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1), -1]
    # array([98.57295732])





    share|improve this answer
























    • Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

      – Tan Duong
      Nov 14 '18 at 13:06






    • 1





      Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

      – Nils Werner
      Nov 15 '18 at 9:40














    0












    0








    0







    This is a simple numpy array comparison and indexing problem. For a given pair of x, y



    xy = numpy.array([-0.802470821517, 0.832159465335])


    we can compare all rows to this at once, using



    numpy.isclose(DATA[:, :2], xy)
    # array([[False, False],
    # [ True, True],
    # [False, False],
    # ....
    # [False, False],
    # [False, False]])


    This will give us two boolean values per row, one for x and one for y. We are only interested in rows where both are True, so



    numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1)
    # array([False, True, False, ..., False, False, False, False])


    The result we can then use to index DATA again, and extract z like



    DATA[numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1), -1]
    # array([98.57295732])





    share|improve this answer













    This is a simple numpy array comparison and indexing problem. For a given pair of x, y



    xy = numpy.array([-0.802470821517, 0.832159465335])


    we can compare all rows to this at once, using



    numpy.isclose(DATA[:, :2], xy)
    # array([[False, False],
    # [ True, True],
    # [False, False],
    # ....
    # [False, False],
    # [False, False]])


    This will give us two boolean values per row, one for x and one for y. We are only interested in rows where both are True, so



    numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1)
    # array([False, True, False, ..., False, False, False, False])


    The result we can then use to index DATA again, and extract z like



    DATA[numpy.all(numpy.isclose(DATA[:, :2], xy), axis=1), -1]
    # array([98.57295732])






    share|improve this answer












    share|improve this answer



    share|improve this answer










    answered Nov 14 '18 at 9:07









    Nils WernerNils Werner

    17.8k14161




    17.8k14161













    • Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

      – Tan Duong
      Nov 14 '18 at 13:06






    • 1





      Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

      – Nils Werner
      Nov 15 '18 at 9:40



















    • Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

      – Tan Duong
      Nov 14 '18 at 13:06






    • 1





      Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

      – Nils Werner
      Nov 15 '18 at 9:40

















    Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

    – Tan Duong
    Nov 14 '18 at 13:06





    Thank Nils for your answer. However, in case I want to get z value for a given pair of (x = -0.8, y = -0.5) your solution doesn't work. After linearize the discrete 3D point, I want to get z value in different pair of (x,y) in given DATA. Do you have any solution else for that ? Thank you

    – Tan Duong
    Nov 14 '18 at 13:06




    1




    1





    Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

    – Nils Werner
    Nov 15 '18 at 9:40





    Well -0.8, -0.5 don't exist in your x, y values, what do you expect?

    – Nils Werner
    Nov 15 '18 at 9:40













    0














    If you want to to turn this array of points into a continuous function with input x,y and output z, you need to describe it with a model. A model allows for interpolation of points.



    I assume this array of points describes a surface plot, but plotting it is unnecessary.



    A surface plot looks like this (I can only provide the link):
    surface plot



    Each quadrilateral in the surface plot is defined by 4 points and represents part of a plane. So, a function to describe your array would be piece wise of all the different planes which make up your surface plot.



    A plane requires 3 points to define it, so create a function to go through the array selecting 3 points in order, finding the equation of the plane and then adding it to an array of equations.



    Code to find equation given 3 points:



    def equation_plane(x1, y1, z1, x2, y2, z2, x3, y3, z3):    
    a1 = x2 - x1
    b1 = y2 - y1
    c1 = z2 - z1
    a2 = x3 - x1
    b2 = y3 - y1
    c2 = z3 - z1
    a = b1 * c2 - b2 * c1
    b = a2 * c1 - a1 * c2
    c = a1 * b2 - b1 * a2
    d = (- a * x1 - b * y1 - c * z1)
    print "equation of plane is ",
    print a, "x +",
    print b, "y +",
    print c, "z +",
    print d, "= 0."


    Then for a given x and y find which plane contains these x and y points (use code similar to nils werners answer), get the corresponding equation and use that function to get the z coordinate.






    share|improve this answer




























      0














      If you want to to turn this array of points into a continuous function with input x,y and output z, you need to describe it with a model. A model allows for interpolation of points.



      I assume this array of points describes a surface plot, but plotting it is unnecessary.



      A surface plot looks like this (I can only provide the link):
      surface plot



      Each quadrilateral in the surface plot is defined by 4 points and represents part of a plane. So, a function to describe your array would be piece wise of all the different planes which make up your surface plot.



      A plane requires 3 points to define it, so create a function to go through the array selecting 3 points in order, finding the equation of the plane and then adding it to an array of equations.



      Code to find equation given 3 points:



      def equation_plane(x1, y1, z1, x2, y2, z2, x3, y3, z3):    
      a1 = x2 - x1
      b1 = y2 - y1
      c1 = z2 - z1
      a2 = x3 - x1
      b2 = y3 - y1
      c2 = z3 - z1
      a = b1 * c2 - b2 * c1
      b = a2 * c1 - a1 * c2
      c = a1 * b2 - b1 * a2
      d = (- a * x1 - b * y1 - c * z1)
      print "equation of plane is ",
      print a, "x +",
      print b, "y +",
      print c, "z +",
      print d, "= 0."


      Then for a given x and y find which plane contains these x and y points (use code similar to nils werners answer), get the corresponding equation and use that function to get the z coordinate.






      share|improve this answer


























        0












        0








        0







        If you want to to turn this array of points into a continuous function with input x,y and output z, you need to describe it with a model. A model allows for interpolation of points.



        I assume this array of points describes a surface plot, but plotting it is unnecessary.



        A surface plot looks like this (I can only provide the link):
        surface plot



        Each quadrilateral in the surface plot is defined by 4 points and represents part of a plane. So, a function to describe your array would be piece wise of all the different planes which make up your surface plot.



        A plane requires 3 points to define it, so create a function to go through the array selecting 3 points in order, finding the equation of the plane and then adding it to an array of equations.



        Code to find equation given 3 points:



        def equation_plane(x1, y1, z1, x2, y2, z2, x3, y3, z3):    
        a1 = x2 - x1
        b1 = y2 - y1
        c1 = z2 - z1
        a2 = x3 - x1
        b2 = y3 - y1
        c2 = z3 - z1
        a = b1 * c2 - b2 * c1
        b = a2 * c1 - a1 * c2
        c = a1 * b2 - b1 * a2
        d = (- a * x1 - b * y1 - c * z1)
        print "equation of plane is ",
        print a, "x +",
        print b, "y +",
        print c, "z +",
        print d, "= 0."


        Then for a given x and y find which plane contains these x and y points (use code similar to nils werners answer), get the corresponding equation and use that function to get the z coordinate.






        share|improve this answer













        If you want to to turn this array of points into a continuous function with input x,y and output z, you need to describe it with a model. A model allows for interpolation of points.



        I assume this array of points describes a surface plot, but plotting it is unnecessary.



        A surface plot looks like this (I can only provide the link):
        surface plot



        Each quadrilateral in the surface plot is defined by 4 points and represents part of a plane. So, a function to describe your array would be piece wise of all the different planes which make up your surface plot.



        A plane requires 3 points to define it, so create a function to go through the array selecting 3 points in order, finding the equation of the plane and then adding it to an array of equations.



        Code to find equation given 3 points:



        def equation_plane(x1, y1, z1, x2, y2, z2, x3, y3, z3):    
        a1 = x2 - x1
        b1 = y2 - y1
        c1 = z2 - z1
        a2 = x3 - x1
        b2 = y3 - y1
        c2 = z3 - z1
        a = b1 * c2 - b2 * c1
        b = a2 * c1 - a1 * c2
        c = a1 * b2 - b1 * a2
        d = (- a * x1 - b * y1 - c * z1)
        print "equation of plane is ",
        print a, "x +",
        print b, "y +",
        print c, "z +",
        print d, "= 0."


        Then for a given x and y find which plane contains these x and y points (use code similar to nils werners answer), get the corresponding equation and use that function to get the z coordinate.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jan 13 at 10:59









        Joe ClintonJoe Clinton

        33




        33






























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