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best way to plot the 3D shape made by many intersecting f(x,y,z) functions?


Way to have inutition about the shape of a curve?Best way to plot a 4 dimensional meshgridShape of graph and plotPlot shape with its control netBest program for multiplying many multivariable polynomialsPlot the characteristics for Burgers equationFinding the best functions for different (x,y) points?How to plot a radial cutoff functionsHow to manage width and height the plot in MapleHow to plot “chainsaw” functions in Maple?













0












$begingroup$


What's the best way to use a computer to plot the 3D shape made by many intersecting f(x,y,z) functions?



I was trying to do something like the following, except I still have not idea what the shape the intersecting functions makes when viewing the plot because its too messy:



# Jupyter Notebook
#--------------------------------------------
# attempting to visualize the intersections of
# the following f(x,y,z) functions:
# y = x <= 3D-plane
# z = x + y <= 3D-plane
# z = 0 <= 3D-plane
# y = 0 <= 3D-plane
# x = 1 <= 3D-plane

%matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

def NewPlot():
fig = plt.figure()
ax = Axes3D(fig)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
return ax

def Mesh():
A=np.linspace(-5,5,20)
B=np.linspace(-5,5,20)
A,B=np.meshgrid(A,B)
return A,B

ax = NewPlot()

# Graph y = x
X,Z = Mesh()
Y = X
ax.scatter(X,Y,Z)

# Graph z = x+y
X,Y = Mesh()
Z=X+Y
ax.scatter(X,Y,Z)

# Graph Z = 0
X,Y = Mesh()
Z=0*X
ax.scatter(X,Y,Z)

# Graph Y = 0
X,Z = Mesh()
Y=0*X
ax.scatter(X,Y,Z)

# Graph X = 1
Y,Z = Mesh()
X=1 + 0*Y
ax.scatter(X,Y,Z)

plt.show()


i realize this might be asking for much, but if there were a way to just show the points on the surface of the intersecting functions? it doesn't necessarily need to be matplotlib based, could be done in other math scripting languages such as octave, R, etc...










share|cite|improve this question









$endgroup$











  • $begingroup$
    I am a big fan of Grapher.
    $endgroup$
    – Rodrigo de Azevedo
    Mar 10 at 22:16










  • $begingroup$
    best answer was to use maple instead of matplotlib
    $endgroup$
    – DiscreteMath
    yesterday















0












$begingroup$


What's the best way to use a computer to plot the 3D shape made by many intersecting f(x,y,z) functions?



I was trying to do something like the following, except I still have not idea what the shape the intersecting functions makes when viewing the plot because its too messy:



# Jupyter Notebook
#--------------------------------------------
# attempting to visualize the intersections of
# the following f(x,y,z) functions:
# y = x <= 3D-plane
# z = x + y <= 3D-plane
# z = 0 <= 3D-plane
# y = 0 <= 3D-plane
# x = 1 <= 3D-plane

%matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

def NewPlot():
fig = plt.figure()
ax = Axes3D(fig)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
return ax

def Mesh():
A=np.linspace(-5,5,20)
B=np.linspace(-5,5,20)
A,B=np.meshgrid(A,B)
return A,B

ax = NewPlot()

# Graph y = x
X,Z = Mesh()
Y = X
ax.scatter(X,Y,Z)

# Graph z = x+y
X,Y = Mesh()
Z=X+Y
ax.scatter(X,Y,Z)

# Graph Z = 0
X,Y = Mesh()
Z=0*X
ax.scatter(X,Y,Z)

# Graph Y = 0
X,Z = Mesh()
Y=0*X
ax.scatter(X,Y,Z)

# Graph X = 1
Y,Z = Mesh()
X=1 + 0*Y
ax.scatter(X,Y,Z)

plt.show()


i realize this might be asking for much, but if there were a way to just show the points on the surface of the intersecting functions? it doesn't necessarily need to be matplotlib based, could be done in other math scripting languages such as octave, R, etc...










share|cite|improve this question









$endgroup$











  • $begingroup$
    I am a big fan of Grapher.
    $endgroup$
    – Rodrigo de Azevedo
    Mar 10 at 22:16










  • $begingroup$
    best answer was to use maple instead of matplotlib
    $endgroup$
    – DiscreteMath
    yesterday













0












0








0





$begingroup$


What's the best way to use a computer to plot the 3D shape made by many intersecting f(x,y,z) functions?



I was trying to do something like the following, except I still have not idea what the shape the intersecting functions makes when viewing the plot because its too messy:



# Jupyter Notebook
#--------------------------------------------
# attempting to visualize the intersections of
# the following f(x,y,z) functions:
# y = x <= 3D-plane
# z = x + y <= 3D-plane
# z = 0 <= 3D-plane
# y = 0 <= 3D-plane
# x = 1 <= 3D-plane

%matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

def NewPlot():
fig = plt.figure()
ax = Axes3D(fig)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
return ax

def Mesh():
A=np.linspace(-5,5,20)
B=np.linspace(-5,5,20)
A,B=np.meshgrid(A,B)
return A,B

ax = NewPlot()

# Graph y = x
X,Z = Mesh()
Y = X
ax.scatter(X,Y,Z)

# Graph z = x+y
X,Y = Mesh()
Z=X+Y
ax.scatter(X,Y,Z)

# Graph Z = 0
X,Y = Mesh()
Z=0*X
ax.scatter(X,Y,Z)

# Graph Y = 0
X,Z = Mesh()
Y=0*X
ax.scatter(X,Y,Z)

# Graph X = 1
Y,Z = Mesh()
X=1 + 0*Y
ax.scatter(X,Y,Z)

plt.show()


i realize this might be asking for much, but if there were a way to just show the points on the surface of the intersecting functions? it doesn't necessarily need to be matplotlib based, could be done in other math scripting languages such as octave, R, etc...










share|cite|improve this question









$endgroup$




What's the best way to use a computer to plot the 3D shape made by many intersecting f(x,y,z) functions?



I was trying to do something like the following, except I still have not idea what the shape the intersecting functions makes when viewing the plot because its too messy:



# Jupyter Notebook
#--------------------------------------------
# attempting to visualize the intersections of
# the following f(x,y,z) functions:
# y = x <= 3D-plane
# z = x + y <= 3D-plane
# z = 0 <= 3D-plane
# y = 0 <= 3D-plane
# x = 1 <= 3D-plane

%matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

def NewPlot():
fig = plt.figure()
ax = Axes3D(fig)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
return ax

def Mesh():
A=np.linspace(-5,5,20)
B=np.linspace(-5,5,20)
A,B=np.meshgrid(A,B)
return A,B

ax = NewPlot()

# Graph y = x
X,Z = Mesh()
Y = X
ax.scatter(X,Y,Z)

# Graph z = x+y
X,Y = Mesh()
Z=X+Y
ax.scatter(X,Y,Z)

# Graph Z = 0
X,Y = Mesh()
Z=0*X
ax.scatter(X,Y,Z)

# Graph Y = 0
X,Z = Mesh()
Y=0*X
ax.scatter(X,Y,Z)

# Graph X = 1
Y,Z = Mesh()
X=1 + 0*Y
ax.scatter(X,Y,Z)

plt.show()


i realize this might be asking for much, but if there were a way to just show the points on the surface of the intersecting functions? it doesn't necessarily need to be matplotlib based, could be done in other math scripting languages such as octave, R, etc...







graphing-functions matlab 3d maple mathematica






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Mar 10 at 19:51









DiscreteMathDiscreteMath

595




595











  • $begingroup$
    I am a big fan of Grapher.
    $endgroup$
    – Rodrigo de Azevedo
    Mar 10 at 22:16










  • $begingroup$
    best answer was to use maple instead of matplotlib
    $endgroup$
    – DiscreteMath
    yesterday
















  • $begingroup$
    I am a big fan of Grapher.
    $endgroup$
    – Rodrigo de Azevedo
    Mar 10 at 22:16










  • $begingroup$
    best answer was to use maple instead of matplotlib
    $endgroup$
    – DiscreteMath
    yesterday















$begingroup$
I am a big fan of Grapher.
$endgroup$
– Rodrigo de Azevedo
Mar 10 at 22:16




$begingroup$
I am a big fan of Grapher.
$endgroup$
– Rodrigo de Azevedo
Mar 10 at 22:16












$begingroup$
best answer was to use maple instead of matplotlib
$endgroup$
– DiscreteMath
yesterday




$begingroup$
best answer was to use maple instead of matplotlib
$endgroup$
– DiscreteMath
yesterday










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