In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
**kwargs) takes 2D arrays as the first two arguments. Do the arrays have to
have the same size dimensions?
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surfcast23 wrote:
In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
**kwargs) takes 2D arrays as the first two arguments. Do the arrays have
to have the same size dimensions?
Any one know?
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Working from memory, the first two have to at least be “broadcastable” into the shape of Z. But absolutely, if x, y, and z are 2d, they have to be the same shape. It makes no sense otherwise.
Cheers!
Ben Root
On Thursday, August 2, 2012, surfcast23 wrote:
surfcast23 wrote:
In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
**kwargs) takes 2D arrays as the first two arguments. Do the arrays have
to have the same size dimensions?
Any one know?
Okay thank you! The Matlab code I am basing this on takes arrays of different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in the
direction of documentation that will explain how I can do this in Python?
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
surfcast23 wrote:
>
> In the documentation it says that Axes3D.plot_wireframe(X, Y, Z, *args,
> **kwargs) takes 2D arrays as the first two arguments. Do the arrays
have
> to have the same size dimensions?
>
>Any one know?
Working from memory, the first two have to at least be "broadcastable"
into
the shape of Z. But absolutely, if x, y, and z are 2d, they have to be
the
same shape. It makes no sense otherwise.Cheers!
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Ok, I just double-checked the source for plot_wireframe(). It does not perform any broadcasting (which I consider to be a bug).
Until it is fixed, you will have to do the broadcasting yourself:
X= np.ones((1, 45))
Y= np.zeros((32, 1))
x, y = np.broadcast_arrays(X, Y)
Which produces x and y with the same shapes, and their values duplicated in the direction the array was “expanded”.
Pass those into plot_wireframe().
Ben Root
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing this on takes arrays of different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in the
direction of documentation that will explain how I can do this in Python?
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing this on takes arrays of
different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in
the
direction of documentation that will explain how I can do this in Python?Ok, I just double-checked the source for plot_wireframe(). It does not
perform any broadcasting (which I consider to be a bug).Until it is fixed, you will have to do the broadcasting yourself:
X= np.ones((1, 45))
Y= np.zeros((32, 1))
x, y = np.broadcast_arrays(X, Y)Which produces x and y with the same shapes, and their values duplicated
in
the direction the array was "expanded".Pass those into plot_wireframe().
Ben Root
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sorry misssed this line "Which produces x and y with the same shapes, and
their values duplicated in
the direction the array was "expanded"."
surfcast23 wrote:
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))change the existing values of the elements to ones and zeros?
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing this on takes arrays of
different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in
the
direction of documentation that will explain how I can do this in
Python?Ok, I just double-checked the source for plot_wireframe(). It does not
perform any broadcasting (which I consider to be a bug).Until it is fixed, you will have to do the broadcasting yourself:
X= np.ones((1, 45))
Y= np.zeros((32, 1))
x, y = np.broadcast_arrays(X, Y)Which produces x and y with the same shapes, and their values duplicated
in
the direction the array was "expanded".Pass those into plot_wireframe().
Ben Root
------------------------------------------------------------------------------
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threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
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I was just demonstrating what np.broadcast_arrays() does. Take your x and y arrays and put them through this function and put the outputs into plot_wireframe(). Ignore the ones() and zeros().
Ben Root
On Thursday, August 2, 2012, surfcast23 wrote:
Wouldn’t
X= np.ones((1, 45))
Y= np.zeros((32, 1))
change the existing values of the elements to ones and zeros?
I tested it out and it does change all the values to ones and zeros. Is there
a way to broadcast and keep the original values that were in the arrays?
Thanks for the help
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Okay thank you! The Matlab code I am basing this on takes arrays of
different
shapes with different sized elements ie
x = 1 512
y = 101 1
and I guess automatically makes the the same shape. Can you point me in
the
direction of documentation that will explain how I can do this in Python?Ok, I just double-checked the source for plot_wireframe(). It does not
perform any broadcasting (which I consider to be a bug).Until it is fixed, you will have to do the broadcasting yourself:
X= np.ones((1, 45))
Y= np.zeros((32, 1))
x, y = np.broadcast_arrays(X, Y)Which produces x and y with the same shapes, and their values duplicated
in
the direction the array was "expanded".Pass those into plot_wireframe().
Ben Root
------------------------------------------------------------------------------
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threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
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Don’t use ones() and zeros(). It was just a way to swtup a demonstration since I dont have your data. Use your data instead of my ones() and zeros().
Also, it would be more useful to post your latest version of your code that is causing problems so that we can double-check it, rather than guessing what the problem is.
Cheers!
Ben Root
On Friday, August 3, 2012, surfcast23 wrote:
I tested it out and it does change all the values to ones and zeros. Is there
a way to broadcast and keep the original values that were in the arrays?
Thanks for the help
Gotcha ya working perfectly now thank you for the help!
Benjamin Root-2 wrote:
On Thursday, August 2, 2012, surfcast23 wrote:
Wouldn't
X= np.ones((1, 45))
Y= np.zeros((32, 1))change the existing values of the elements to ones and zeros?
I was just demonstrating what np.broadcast_arrays() does. Take your x and
y arrays and put them through this function and put the outputs into
plot_wireframe(). Ignore the ones() and zeros().Ben Root
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