[Matplotlib-users] How to plot a 2d streamline in 3d view in matplotlib

2015-05-21 Thread Raj Kumar Manna
Hi,

I need to plot a 2d streamline in 3d view like this
http://stackoverflow.com/questions/14963004/continuous-shades-on-matplotlib-3d-surface.
As suggested by the post
http://stackoverflow.com/questions/16252231/symmetric-streamplot-with-matplotlib/16373060#16373060,
I need to extract streamlines and arrows from a 2d plot and then transform
it to 3d data. How to transform this 2d streamline data to 3d data and plot
using mplot3d?

Thanks in advance.

Raj


-- 
##
Raj Kumar Manna
Complex Fluid  Biological Physics Lab
IIT Madras

Ph. No. 8144637401

alternate email: r...@physics.iitm.ac.in rajphysics@gmail.com

--
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Re: [Matplotlib-users] How to plot a 2d streamline in 3d view in matplotlib

2015-05-21 Thread Benjamin Root
Well, there is the new 3D quiver feature:
http://matplotlib.org/examples/mplot3d/quiver3d_demo.html. Not quite
streamlines, but it might do in a pinch.

Another approach:
There is the 2d streamplot() function that returns a specialized object.
From the docstring:
```
Returns:

*stream_container* : StreamplotSet
Container object with attributes

- lines: `matplotlib.collections.LineCollection` of
streamlines

- arrows: collection of `matplotlib.patches.FancyArrowPatch`
  objects representing arrows half-way along stream
  lines.
```

You might be able to get away with using the lines object and feeding it
through art3d.line_collection_2d_to_3d(), kind of like how it is done for
pathpatch objects here:
http://matplotlib.org/examples/mplot3d/pathpatch3d_demo.html. You might
also be able to pass the individual objects in the arrows list through
art3d.patch_2d_to_3d(), but I have no clue if that would actually work or
not.

I hope that helps!
Ben Root


On Thu, May 21, 2015 at 7:45 AM, Raj Kumar Manna rajphysics@gmail.com
wrote:

 Hi,

 I need to plot a 2d streamline in 3d view like this
 http://stackoverflow.com/questions/14963004/continuous-shades-on-matplotlib-3d-surface.
 As suggested by the post
 http://stackoverflow.com/questions/16252231/symmetric-streamplot-with-matplotlib/16373060#16373060,
 I need to extract streamlines and arrows from a 2d plot and then transform
 it to 3d data. How to transform this 2d streamline data to 3d data and plot
 using mplot3d?

 Thanks in advance.

 Raj


 --
 ##
 Raj Kumar Manna
 Complex Fluid  Biological Physics Lab
 IIT Madras

 Ph. No. 8144637401

 alternate email: r...@physics.iitm.ac.in rajphysics@gmail.com
 


 --
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 Performance metrics, stats and reports that give you Actionable Insights
 Deep dive visibility with transaction tracing using APM Insight.
 http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
 ___
 Matplotlib-users mailing list
 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users


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Re: [Matplotlib-users] How to plot a 2d streamline in 3d view in matplotlib

2015-05-21 Thread Raj Kumar Manna
Its giving a error,

art3d.linecollection_2d_to_3d(stream.lines)
AttributeError: 'module' object has no attribute 'linecollection_2d_to_3d'



Here is my script,


import matplotlib.pyplot as plt
from matplotlib.patches import Circle, PathPatch
from mpl_toolkits.mplot3d import Axes3D
import mpl_toolkits.mplot3d.art3d as art3d
import numpy as np
from pylab import *
from matplotlib.collections import LineCollection



fig = plt.figure()
ax=fig.gca(projection='3d')


f=np.loadtxt('flow-velocity343.dat')
dx,dz=1.0,1.0

xmin,zmin,xmax,zmax=min(f[:,0]),min(f[:,2]),max(f[:,0]),max(f[:,2])
nbinx,nbinz=int((xmax-xmin)/dx)+1,int((zmax-zmin)/dz)+1
Ux=np.zeros([nbinz,nbinx],'d')
Uy=np.zeros([nbinz,nbinx],'d')
Uz=np.zeros([nbinz,nbinx],'d')
speed=np.zeros([nbinz,nbinx],'d')
logv=np.zeros([nbinz,nbinx],'d')



for f1 in f:
binx,binz=int((f1[0]-xmin)/dx),int((f1[2]-zmin)/dz)
Ux[binz][binx]=f1[3]
Uy[binz][binx]=f1[4]
Uz[binz][binx]=f1[5]
speed[binz][binx] = np.sqrt( Ux[binz][binx]*Ux[binz][binx] +
Uz[binz][binx]*Uz[binz][binx] + Uy[binz][binx]*Uy[binz][binx] )
logv[binz][binx] = log(speed[binz][binx])
x,z=np.arange(xmin,xmax+dx,dx),np.arange(zmin,zmax+dz,dz)
y=np.arange(0,71,1)
X,Z=np.meshgrid(x,z)

stream = ax.streamplot(X, Z, Ux, Uz, color='black', linewidth=2)
#lines = stream.lines.get_paths()

art3d.linecollection_2d_to_3d(stream.lines)
for p in stream.arrows:
art3d.patch_2d_to_3d(p)



plt.show()





Thanks
Raj


On Thu, May 21, 2015 at 9:19 PM, Benjamin Root ben.r...@ou.edu wrote:

 (keeping the discussion on the mailing list)

 The object you get back have two attributes: lines and arrows. This is
 just psuedo-code, but it would look something like this:

 ```
 stream = ax.streamplot(..)
 art3d.linecollection_2d_to_3d(stream.lines, )
 for p in stream.arrows:
 art3d.patch_2d_to_3d(p, ...)
 ```
 Again, I have no clue if this actually would work. I haven't tried doing
 this myself.

 Ben Root

 On Thu, May 21, 2015 at 11:39 AM, Raj Kumar Manna 
 rajphysics@gmail.com wrote:

 Thanks for your quick reply.

 I have plotted the streamplot in 2d . I am not able to extract lines or
 arrow from streamplot. I am new user of matplotlib, can you please tell me
 the syntax to extract lines and arrows from streamplot().

 Thanks for you help.
 Raj

 On Thu, May 21, 2015 at 8:30 PM, Benjamin Root ben.r...@ou.edu wrote:

 Well, there is the new 3D quiver feature:
 http://matplotlib.org/examples/mplot3d/quiver3d_demo.html. Not quite
 streamlines, but it might do in a pinch.

 Another approach:
 There is the 2d streamplot() function that returns a specialized object.
 From the docstring:
 ```
 Returns:

 *stream_container* : StreamplotSet
 Container object with attributes

 - lines: `matplotlib.collections.LineCollection` of
 streamlines

 - arrows: collection of
 `matplotlib.patches.FancyArrowPatch`
   objects representing arrows half-way along stream
   lines.
 ```

 You might be able to get away with using the lines object and feeding
 it through art3d.line_collection_2d_to_3d(), kind of like how it is done
 for pathpatch objects here:
 http://matplotlib.org/examples/mplot3d/pathpatch3d_demo.html. You might
 also be able to pass the individual objects in the arrows list through
 art3d.patch_2d_to_3d(), but I have no clue if that would actually work or
 not.

 I hope that helps!
 Ben Root


 On Thu, May 21, 2015 at 7:45 AM, Raj Kumar Manna 
 rajphysics@gmail.com wrote:

 Hi,

 I need to plot a 2d streamline in 3d view like this
 http://stackoverflow.com/questions/14963004/continuous-shades-on-matplotlib-3d-surface.
 As suggested by the post
 http://stackoverflow.com/questions/16252231/symmetric-streamplot-with-matplotlib/16373060#16373060,
 I need to extract streamlines and arrows from a 2d plot and then transform
 it to 3d data. How to transform this 2d streamline data to 3d data and plot
 using mplot3d?

 Thanks in advance.

 Raj


 --
 ##
 Raj Kumar Manna
 Complex Fluid  Biological Physics Lab
 IIT Madras

 Ph. No. 8144637401

 alternate email: r...@physics.iitm.ac.in rajphysics@gmail.com
 


 --
 One dashboard for servers and applications across Physical-Virtual-Cloud
 Widest out-of-the-box monitoring support with 50+ applications
 Performance metrics, stats and reports that give you Actionable Insights
 Deep dive visibility with transaction tracing using APM Insight.
 http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
 ___
 Matplotlib-users mailing list
 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users





 --
 

Re: [Matplotlib-users] How to plot a 2d streamline in 3d view in matplotlib

2015-05-21 Thread Benjamin Root
Sorry, it is line_collection_2d_to_3d().

On Thu, May 21, 2015 at 12:02 PM, Raj Kumar Manna rajphysics@gmail.com
wrote:

 Its giving a error,

 art3d.linecollection_2d_to_3d(stream.lines)
 AttributeError: 'module' object has no attribute 'linecollection_2d_to_3d'



 Here is my script,


 import matplotlib.pyplot as plt
 from matplotlib.patches import Circle, PathPatch
 from mpl_toolkits.mplot3d import Axes3D
 import mpl_toolkits.mplot3d.art3d as art3d
 import numpy as np
 from pylab import *
 from matplotlib.collections import LineCollection



 fig = plt.figure()
 ax=fig.gca(projection='3d')


 f=np.loadtxt('flow-velocity343.dat')
 dx,dz=1.0,1.0

 xmin,zmin,xmax,zmax=min(f[:,0]),min(f[:,2]),max(f[:,0]),max(f[:,2])
 nbinx,nbinz=int((xmax-xmin)/dx)+1,int((zmax-zmin)/dz)+1
 Ux=np.zeros([nbinz,nbinx],'d')
 Uy=np.zeros([nbinz,nbinx],'d')
 Uz=np.zeros([nbinz,nbinx],'d')
 speed=np.zeros([nbinz,nbinx],'d')
 logv=np.zeros([nbinz,nbinx],'d')



 for f1 in f:
 binx,binz=int((f1[0]-xmin)/dx),int((f1[2]-zmin)/dz)
 Ux[binz][binx]=f1[3]
 Uy[binz][binx]=f1[4]
 Uz[binz][binx]=f1[5]
 speed[binz][binx] = np.sqrt( Ux[binz][binx]*Ux[binz][binx] +
 Uz[binz][binx]*Uz[binz][binx] + Uy[binz][binx]*Uy[binz][binx] )
 logv[binz][binx] = log(speed[binz][binx])
 x,z=np.arange(xmin,xmax+dx,dx),np.arange(zmin,zmax+dz,dz)
 y=np.arange(0,71,1)
 X,Z=np.meshgrid(x,z)

 stream = ax.streamplot(X, Z, Ux, Uz, color='black', linewidth=2)
 #lines = stream.lines.get_paths()

 art3d.linecollection_2d_to_3d(stream.lines)
 for p in stream.arrows:
 art3d.patch_2d_to_3d(p)



 plt.show()





 Thanks
 Raj


 On Thu, May 21, 2015 at 9:19 PM, Benjamin Root ben.r...@ou.edu wrote:

 (keeping the discussion on the mailing list)

 The object you get back have two attributes: lines and arrows. This
 is just psuedo-code, but it would look something like this:

 ```
 stream = ax.streamplot(..)
 art3d.linecollection_2d_to_3d(stream.lines, )
 for p in stream.arrows:
 art3d.patch_2d_to_3d(p, ...)
 ```
 Again, I have no clue if this actually would work. I haven't tried doing
 this myself.

 Ben Root

 On Thu, May 21, 2015 at 11:39 AM, Raj Kumar Manna 
 rajphysics@gmail.com wrote:

 Thanks for your quick reply.

 I have plotted the streamplot in 2d . I am not able to extract lines or
 arrow from streamplot. I am new user of matplotlib, can you please tell me
 the syntax to extract lines and arrows from streamplot().

 Thanks for you help.
 Raj

 On Thu, May 21, 2015 at 8:30 PM, Benjamin Root ben.r...@ou.edu wrote:

 Well, there is the new 3D quiver feature:
 http://matplotlib.org/examples/mplot3d/quiver3d_demo.html. Not quite
 streamlines, but it might do in a pinch.

 Another approach:
 There is the 2d streamplot() function that returns a specialized
 object. From the docstring:
 ```
 Returns:

 *stream_container* : StreamplotSet
 Container object with attributes

 - lines: `matplotlib.collections.LineCollection` of
 streamlines

 - arrows: collection of
 `matplotlib.patches.FancyArrowPatch`
   objects representing arrows half-way along stream
   lines.
 ```

 You might be able to get away with using the lines object and feeding
 it through art3d.line_collection_2d_to_3d(), kind of like how it is done
 for pathpatch objects here:
 http://matplotlib.org/examples/mplot3d/pathpatch3d_demo.html. You
 might also be able to pass the individual objects in the arrows list
 through art3d.patch_2d_to_3d(), but I have no clue if that would actually
 work or not.

 I hope that helps!
 Ben Root


 On Thu, May 21, 2015 at 7:45 AM, Raj Kumar Manna 
 rajphysics@gmail.com wrote:

 Hi,

 I need to plot a 2d streamline in 3d view like this
 http://stackoverflow.com/questions/14963004/continuous-shades-on-matplotlib-3d-surface.
 As suggested by the post
 http://stackoverflow.com/questions/16252231/symmetric-streamplot-with-matplotlib/16373060#16373060,
 I need to extract streamlines and arrows from a 2d plot and then transform
 it to 3d data. How to transform this 2d streamline data to 3d data and 
 plot
 using mplot3d?

 Thanks in advance.

 Raj


 --
 ##
 Raj Kumar Manna
 Complex Fluid  Biological Physics Lab
 IIT Madras

 Ph. No. 8144637401

 alternate email: r...@physics.iitm.ac.in rajphysics@gmail.com
 


 --
 One dashboard for servers and applications across
 Physical-Virtual-Cloud
 Widest out-of-the-box monitoring support with 50+ applications
 Performance metrics, stats and reports that give you Actionable
 Insights
 Deep dive visibility with transaction tracing using APM Insight.
 http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
 ___
 Matplotlib-users 

Re: [Matplotlib-users] How to plot a 2d streamline in 3d view in matplotlib

2015-05-21 Thread Benjamin Root
(keeping the discussion on the mailing list)

The object you get back have two attributes: lines and arrows. This is
just psuedo-code, but it would look something like this:

```
stream = ax.streamplot(..)
art3d.linecollection_2d_to_3d(stream.lines, )
for p in stream.arrows:
art3d.patch_2d_to_3d(p, ...)
```
Again, I have no clue if this actually would work. I haven't tried doing
this myself.

Ben Root

On Thu, May 21, 2015 at 11:39 AM, Raj Kumar Manna rajphysics@gmail.com
wrote:

 Thanks for your quick reply.

 I have plotted the streamplot in 2d . I am not able to extract lines or
 arrow from streamplot. I am new user of matplotlib, can you please tell me
 the syntax to extract lines and arrows from streamplot().

 Thanks for you help.
 Raj

 On Thu, May 21, 2015 at 8:30 PM, Benjamin Root ben.r...@ou.edu wrote:

 Well, there is the new 3D quiver feature:
 http://matplotlib.org/examples/mplot3d/quiver3d_demo.html. Not quite
 streamlines, but it might do in a pinch.

 Another approach:
 There is the 2d streamplot() function that returns a specialized object.
 From the docstring:
 ```
 Returns:

 *stream_container* : StreamplotSet
 Container object with attributes

 - lines: `matplotlib.collections.LineCollection` of
 streamlines

 - arrows: collection of
 `matplotlib.patches.FancyArrowPatch`
   objects representing arrows half-way along stream
   lines.
 ```

 You might be able to get away with using the lines object and feeding
 it through art3d.line_collection_2d_to_3d(), kind of like how it is done
 for pathpatch objects here:
 http://matplotlib.org/examples/mplot3d/pathpatch3d_demo.html. You might
 also be able to pass the individual objects in the arrows list through
 art3d.patch_2d_to_3d(), but I have no clue if that would actually work or
 not.

 I hope that helps!
 Ben Root


 On Thu, May 21, 2015 at 7:45 AM, Raj Kumar Manna 
 rajphysics@gmail.com wrote:

 Hi,

 I need to plot a 2d streamline in 3d view like this
 http://stackoverflow.com/questions/14963004/continuous-shades-on-matplotlib-3d-surface.
 As suggested by the post
 http://stackoverflow.com/questions/16252231/symmetric-streamplot-with-matplotlib/16373060#16373060,
 I need to extract streamlines and arrows from a 2d plot and then transform
 it to 3d data. How to transform this 2d streamline data to 3d data and plot
 using mplot3d?

 Thanks in advance.

 Raj


 --
 ##
 Raj Kumar Manna
 Complex Fluid  Biological Physics Lab
 IIT Madras

 Ph. No. 8144637401

 alternate email: r...@physics.iitm.ac.in rajphysics@gmail.com
 


 --
 One dashboard for servers and applications across Physical-Virtual-Cloud
 Widest out-of-the-box monitoring support with 50+ applications
 Performance metrics, stats and reports that give you Actionable Insights
 Deep dive visibility with transaction tracing using APM Insight.
 http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
 ___
 Matplotlib-users mailing list
 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users





 --
 ##
 Raj Kumar Manna
 Complex Fluid  Biological Physics Lab
 IIT Madras

 Ph. No. 8144637401

 alternate email: r...@physics.iitm.ac.in rajphysics@gmail.com
 

--
One dashboard for servers and applications across Physical-Virtual-Cloud 
Widest out-of-the-box monitoring support with 50+ applications
Performance metrics, stats and reports that give you Actionable Insights
Deep dive visibility with transaction tracing using APM Insight.
http://ad.doubleclick.net/ddm/clk/290420510;117567292;y___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users