Re: [Matplotlib-users] Axes3d have improved handling of label placement yet

[Benjamin Root]

On Sun, Jul 28, 2013 at 7:14 AM, Jeffrey Spencer wrote:

> Ben,
>
> Thanks that works great and also one more question. If you look at the
> previous example. I have noticed that at the angle the figure is at the
> ticklabels look like they are at the center of the grid boxes. This is not
> the case because if you turn it to the side as the example below image.pdf.
> The 0.00, 0.05 on the I_lw axis are supposed to be at the actual tick marks.
>
>
>
Thus, can the axis be manually moved too? This isn't a huge deal but I was
> just wondering if it was possible to offset the ticklabels. I looked in the
> _axinfo but looks like for ticklabel their is only a space_factor parameter.
>
> Cheers,
> Jeff
>
>
The effect you are seeing is that the tick labels are set to be below and
in front of the tick marks. More specifically, what happens is that the
ticklabels (and the axis label) are offsetted away from the center of the
domain. The space_factor value you found is just some empirical value that
I have found to work fairly well.  Effectively, there is only a
"radial"-like control over the spacing, not a finer-grained control.

That being said, you can modify the "va" value of the _axinfo to control
the vertical allignment of the labels. I would wonder if messing around
with that might have some desired impact.  Another possibility is to use
'\n' characters before or after the main text for the label to make an
apparent shift.  Just some ideas to play around with.

Cheers!
Ben Root
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Re: [Matplotlib-users] Axes3d have improved handling of label placement yet

[Benjamin Root]

Jeffrey,

Sorry if the documentation is a bit vague on the _axinfo front.  It was
intentionally done that way to keep the number of people dependent upon
that kludge down.  It was created as an improvement upon the previous
hard-coded constants that completely prevented anybody from making any
customizations at all.

The spacing of tick labels for an axis can be modified like so:

ax.xaxis._axinfo['ticklabel']['space_factor'] = 0.7   # This is the default
value. Make it less to bring it closer to the axis

and for the axis label:

ax.xaxis._axinfo['label']['space_factor'] = 1.6  # Again, this is the
default value. Make it larger to move it away from the axis

I hope that helps!
Ben Root



On Thu, Jul 18, 2013 at 3:18 AM, Jeffrey Spencer wrote:

> I have a problem with labels overlapping the tickmark labels. No matter
> changing the fontsize or plot_size or other things. I can't find something
> that works properly. I found somethwhere setting linespacing should work
> but this seems to do nothing in my case.
>
> Any good suggestions or updates on this??
>
> I'm using 1.2.x matplotlib version. I put a plot here showing how the
> label overlaps but I know this has been a problem in the past.
>
> Also, I couldn't figure out how to get access to the _axinfo like stated
> in the documentation for a possible fix. Where is this located?? How do I
> acess or modify it as a temporary fix??
>
>
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Re: [Matplotlib-users] axes3d, initial azimuth and elevation

[gsal]

got it, thanks.
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Re: [Matplotlib-users] axes3d, initial azimuth and elevation

[Benjamin Root]

On Saturday, July 14, 2012, gsal wrote:

>
> So, I have
>
> [code]
>
> from mpl_toolkits.mplot3d import axes3d
> fig = plt.figure(figsize=(10,7))
> ax = fig.gca(projection='3d')
> ax.scatter(xs, ys, zs, c='r')
> plt.show()
>
> [/code]
>
> but when the figure first comes up, it is not to my liking; when I
> interactively (with the mouse) move it around to my liking, the lower right
> corner of the window displays: "azimuth=20 deg, elevation=35 deg...
>
> ...how can I achieve my desired azimuth, elevation from the beginning? is
> it
> possible to set it up? I search the on-line docs and found nothing.
>
> thanks,
>
> gsal


Yes, it is possible.  You can use the view_init() method of your axes
object.

Ben Root
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[Matplotlib-users] axes3d, initial azimuth and elevation

[gsal]

So, I have

[code]

from mpl_toolkits.mplot3d import axes3d
fig = plt.figure(figsize=(10,7))
ax = fig.gca(projection='3d')
ax.scatter(xs, ys, zs, c='r')
plt.show()

[/code]

but when the figure first comes up, it is not to my liking; when I
interactively (with the mouse) move it around to my liking, the lower right
corner of the window displays: "azimuth=20 deg, elevation=35 deg...

...how can I achieve my desired azimuth, elevation from the beginning? is it
possible to set it up? I search the on-line docs and found nothing.

thanks,

gsal
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Re: [Matplotlib-users] Axes3D depth problem

[Benjamin Root]

On Tue, Jul 27, 2010 at 3:10 PM,  wrote:

> Hallo Ben Root,
>
> I put together some snippets
>
> #CODE
> import matplotlib.pyplot as plt
> from matplotlib.patches import Circle
> import mpl_toolkits.mplot3d.art3d as art3d
> from mpl_toolkits.mplot3d import Axes3D
> import numpy
> import matplotlib
>
> step = 0.04
> maxval = 1.0
>
> fig = plt.figure()
> ax = Axes3D(fig,aspect='equal')
>
> ri = 0.625
> rj = 1.25
> l = 5
>
> ##CONE
> r = numpy.linspace(rj,rj,6)
> r[0]= numpy.zeros(r[0].shape)
> r[1] *= ri/rj
> r[5] *= ri/rj
> r[3]= numpy.zeros(r[3].shape)
>
> p = numpy.linspace(0,2*numpy.pi,50)
> R,P = numpy.meshgrid(r,p)
>
> X,Y = R*numpy.cos(P),R*numpy.sin(P)
>
> tmp=list()
> for i in range(50):
>  tmp.append([0,0,l,l,l,0])
> Z = numpy.array(tmp)
> ax.plot_surface(X, Z,Y, rstride=1, cstride=1, color="b")
>
> ##CIRCLES
> p=Circle((0,0),rj,color="red")
> ax.add_patch(p)
> art3d.patch_2d_to_3d(p, z=l, zdir="y")
>
> p=Circle((0,0),ri,color="red")
> ax.add_patch(p)
> art3d.patch_2d_to_3d(p, z=0, zdir="y")
>
> ax.set_ylim3d(-0.5, l+.5)
> ax.set_xlim3d(-l*0.5-0.5, l*0.5+0.5)
> ax.set_zlim3d(-l*0.5-0.5, l*0.5+0.5)
>
> plt.show()
> #CODE
>
> greetz
>
> Frank
> Am 27.07.2010 21:36, schrieb Benjamin Root:
> > On Tue, Jul 27, 2010 at 2:25 PM,  > > wrote:
> >
> > Hallo,
> >
> > I got a depth problem with Axes3D. I made a plot_surface and add 2
> > Circle object with add_patch and
> > mpl_toolkits.mplot3d.art3d.patch_2d_to_3d.
> >
> > The problem is that the circles are always in front. I upload a
> > picture here http://yfrog.com/nd3dproblemp . The gui is rotatable,
> > so I can't just remove the second Circle (like I did for the
> > screenshot).
> >
> > How to get right order to the object?
> >
> > greetz
> >
> > Frank
> >
>

Thanks,

At first glance, I am wondering if the problem is that the Circle objects
are not properly getting a zsort value when converted to a 3d object.  I
will see if there is an inconsistency in behavior between different types of
patches.

Ben Root
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Re: [Matplotlib-users] Axes3D depth problem

[copyrights]

Hallo Ben Root,

I put together some snippets 

#CODE
import matplotlib.pyplot as plt
from matplotlib.patches import Circle
import mpl_toolkits.mplot3d.art3d as art3d
from mpl_toolkits.mplot3d import Axes3D
import numpy
import matplotlib

step = 0.04
maxval = 1.0

fig = plt.figure()
ax = Axes3D(fig,aspect='equal')

ri = 0.625
rj = 1.25
l = 5

##CONE
r = numpy.linspace(rj,rj,6)
r[0]= numpy.zeros(r[0].shape)
r[1] *= ri/rj
r[5] *= ri/rj
r[3]= numpy.zeros(r[3].shape)

p = numpy.linspace(0,2*numpy.pi,50)
R,P = numpy.meshgrid(r,p)

X,Y = R*numpy.cos(P),R*numpy.sin(P)

tmp=list()
for i in range(50):
  tmp.append([0,0,l,l,l,0])
Z = numpy.array(tmp)
ax.plot_surface(X, Z,Y, rstride=1, cstride=1, color="b")

##CIRCLES
p=Circle((0,0),rj,color="red")
ax.add_patch(p)
art3d.patch_2d_to_3d(p, z=l, zdir="y")

p=Circle((0,0),ri,color="red")
ax.add_patch(p)
art3d.patch_2d_to_3d(p, z=0, zdir="y")

ax.set_ylim3d(-0.5, l+.5)
ax.set_xlim3d(-l*0.5-0.5, l*0.5+0.5)
ax.set_zlim3d(-l*0.5-0.5, l*0.5+0.5)

plt.show()
#CODE

greetz

Frank
Am 27.07.2010 21:36, schrieb Benjamin Root:
> On Tue, Jul 27, 2010 at 2:25 PM,  > wrote:
> 
> Hallo,
> 
> I got a depth problem with Axes3D. I made a plot_surface and add 2
> Circle object with add_patch and
> mpl_toolkits.mplot3d.art3d.patch_2d_to_3d.
> 
> The problem is that the circles are always in front. I upload a
> picture here http://yfrog.com/nd3dproblemp . The gui is rotatable,
> so I can't just remove the second Circle (like I did for the
> screenshot).
> 
> How to get right order to the object?
> 
> greetz
> 
> Frank
> 
> 
> Frank,
> 
> Could you please include a script that reproduces this?  There have been
> some issues like this reported before, but it would only occur at
> certain viewing angles.  Is this problem occurring regardless of what
> viewing angle you are looking at the plot?  It would be useful to have
> an example that *always* looks bad for fixing purposes.
> 
> Ben Root

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Re: [Matplotlib-users] Axes3D depth problem

[Benjamin Root]

On Tue, Jul 27, 2010 at 2:25 PM,  wrote:

> Hallo,
>
> I got a depth problem with Axes3D. I made a plot_surface and add 2 Circle
> object with add_patch and mpl_toolkits.mplot3d.art3d.patch_2d_to_3d.
>
> The problem is that the circles are always in front. I upload a picture
> here http://yfrog.com/nd3dproblemp . The gui is rotatable, so I can't just
> remove the second Circle (like I did for the screenshot).
>
> How to get right order to the object?
>
> greetz
>
> Frank
>
>
Frank,

Could you please include a script that reproduces this?  There have been
some issues like this reported before, but it would only occur at certain
viewing angles.  Is this problem occurring regardless of what viewing angle
you are looking at the plot?  It would be useful to have an example that
*always* looks bad for fixing purposes.

Ben Root
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[Matplotlib-users] Axes3D depth problem

[copyrights]

Hallo,

I got a depth problem with Axes3D. I made a plot_surface and add 2 Circle 
object with add_patch and mpl_toolkits.mplot3d.art3d.patch_2d_to_3d.

The problem is that the circles are always in front. I upload a picture here 
http://yfrog.com/nd3dproblemp . The gui is rotatable, so I can't just remove 
the second Circle (like I did for the screenshot).  

How to get right order to the object?

greetz

Frank

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Re: [Matplotlib-users] Axes3D and tricontours.

[Reinier Heeres]

Hi Daniel,

Ok, so it works as expected? Great.

No real need to also bring it up on mpl devel, since I'm the
maintainer of mplot3d anyway ;-)

If you can send me the working code for contourf when you have that
I'll add all of it soon.

Cheers,
Reinier

On Tue, Jul 20, 2010 at 5:41 PM, Daniel Welling  wrote:
> Reinier -
> This is exactly what I was looking for!  Thank you.
> I will try to get this to work with tricontourf now that I have your
> example; you should strongly consider bringing this up in the devel mailing
> list as including the tri- commands in the 3D kit may be useful to others as
> well (I can do so if you do not wish to spend any more time on this, but I
> will of course credit the fix to you.)
> To give you a better idea why this is useful, see the attached plot.  On the
> y=125, z=125 planes, I plot 2D slices of number density from a large scale
> fluid dynamics simulation.  In 3D, I will add 3D stream traces to
> characterize the flow around the obstacle.  Combining the 3D traces with the
> 2D slices is extremely useful; being able to make these kinds of plots
> quickly through MPL before going to something more powerful, such as Mayavi,
> is very convenient.
> -dw
>
> On Tue, Jul 20, 2010 at 6:32 AM, Reinier Heeres  wrote:
>>
>> Hi Daniel,
>>
>> If you're using the mpl 1.0 or the svn version, you can try to
>> overwrite this file of mplot3d and run the attached modified version
>> of the example you sent. Can you tell me if this is the expected
>> result? For the projection on the planes normal to 'x' and 'y' it
>> doesn't look very appealing to me! (so I'm not sure it's correct)
>>
>> Cheers,
>> Reinier
>>
>> On Mon, Jul 19, 2010 at 11:06 PM, Daniel Welling 
>> wrote:
>> > Greetings, MPL Users.
>> > I have been experimenting with Axes3D with the hopes that I could create
>> > some 3d lines and then project some contours on different planes in the
>> > 3D
>> > axes object, much like the contour3d_demo3.py example (but with lines
>> > instead of the 3d wireframe.)  The catch, however, is creating the
>> > contour
>> > objects using tricontour instead of a regular contour.  Being that I
>> > typically use irregular grids for my research, the triangulate module
>> > has
>> > been a tremendous feature, but it doesn't seem to work with Axes3D
>> > objects.
>> > For example, this quick script:
>> > import matplotlib.pyplot as plt
>> > #import matplotlib.tri as tri
>> > import numpy as np
>> > from numpy.random import uniform, seed
>> > from mpl_toolkits.mplot3d import Axes3D
>> > seed(0)
>> > npts = 200
>> > ngridx = 100
>> > ngridy = 200
>> > x = uniform(-2,2,npts)
>> > y = uniform(-2,2,npts)
>> > z = x*np.exp(-x**2-y**2)
>> > # tricontour.
>> > fig = plt.figure()
>> > ax = Axes3D(fig)
>> > ax.tricontour(x, y, z, 15, zdir=x, offset=-2)
>> > plt.show()
>> > creates a huge traceback, listed below.
>> > Is it possible to combine tricontour with Axes3D?  It would appear that
>> > they
>> > are just incompatible, but perhaps there is a way to force it to work?
>> > Thanks for your help.
>> > tricont3d.py in ()
>> >      20 ax.tricontour(x, y, z, 15, zdir=x, offset=-2)
>> >      21
>> > ---> 22 plt.show()
>> >      23
>> >      24
>> > python2.6/site-packages/matplotlib/backends/backend_qt4.pyc in show()
>> >      69     figManager =  Gcf.get_active()
>> >      70     if figManager != None:
>> > ---> 71         figManager.canvas.draw()
>> >      72
>> >      73     if _create_qApp.qAppCreatedHere:
>> > python2.6/site-packages/matplotlib/backends/backend_qt4agg.pyc in
>> > draw(self)
>> >     128         if DEBUG: print "FigureCanvasQtAgg.draw", self
>> >     129         self.replot = True
>> > --> 130         FigureCanvasAgg.draw(self)
>> >     131         self.update()
>> >     132
>> > site-packages/matplotlib/backends/backend_agg.pyc in draw(self)
>> >     392
>> >     393         self.renderer = self.get_renderer()
>> > --> 394         self.figure.draw(self.renderer)
>> >     395
>> >     396     def get_renderer(self):
>> > python2.6/site-packages/matplotlib/artist.pyc in draw_wrapper(artist,
>> > renderer, *args, **kwargs)
>> >      53     def draw_wrapper(artist, renderer, *args, **kwargs):
>> >      54         before(artist, renderer)
>> > ---> 55         draw(artist, renderer, *args, **kwargs)
>> >      56         after(artist, renderer)
>> >      57
>> > python2.6/site-packages/matplotlib/figure.pyc in draw(self, renderer)
>> >     796         dsu.sort(key=itemgetter(0))
>> >     797         for zorder, func, args in dsu:
>> > --> 798             func(*args)
>> >     799
>> >     800         renderer.close_group('figure')
>> > python2.6/site-packages/mpl_toolkits/mplot3d/axes3d.pyc in draw(self,
>> > renderer)
>> >     152         # Calculate projection of collections and zorder them
>> >     153         zlist = [(col.do_3d_projection(renderer), col) \
>> > --> 154                  for col in self.collections]
>> >     155         zlist.sort()
>> >     156         zlist.reverse()
>> >

[Matplotlib-users] Axes3D and tricontours.

[Daniel Welling]

Greetings, MPL Users.

I have been experimenting with Axes3D with the hopes that I could create
some 3d lines and then project some contours on different planes in the 3D
axes object, much like the contour3d_demo3.py example (but with lines
instead of the 3d wireframe.)  The catch, however, is creating the contour
objects using tricontour instead of a regular contour.  Being that I
typically use irregular grids for my research, the triangulate module has
been a tremendous feature, but it doesn't seem to work with Axes3D objects.

For example, this quick script:
import matplotlib.pyplot as plt
#import matplotlib.tri as tri
import numpy as np
from numpy.random import uniform, seed
from mpl_toolkits.mplot3d import Axes3D

seed(0)
npts = 200
ngridx = 100
ngridy = 200
x = uniform(-2,2,npts)
y = uniform(-2,2,npts)
z = x*np.exp(-x**2-y**2)

# tricontour.
fig = plt.figure()
ax = Axes3D(fig)
ax.tricontour(x, y, z, 15, zdir=x, offset=-2)

plt.show()

creates a huge traceback, listed below.
Is it possible to combine tricontour with Axes3D?  It would appear that they
are just incompatible, but perhaps there is a way to force it to work?
Thanks for your help.

tricont3d.py in ()
 20 ax.tricontour(x, y, z, 15, zdir=x, offset=-2)
 21
---> 22 plt.show()
 23
 24

python2.6/site-packages/matplotlib/backends/backend_qt4.pyc in show()
 69 figManager =  Gcf.get_active()
 70 if figManager != None:
---> 71 figManager.canvas.draw()
 72
 73 if _create_qApp.qAppCreatedHere:

python2.6/site-packages/matplotlib/backends/backend_qt4agg.pyc in draw(self)
128 if DEBUG: print "FigureCanvasQtAgg.draw", self
129 self.replot = True
--> 130 FigureCanvasAgg.draw(self)
131 self.update()
132
site-packages/matplotlib/backends/backend_agg.pyc in draw(self)
392
393 self.renderer = self.get_renderer()
--> 394 self.figure.draw(self.renderer)
395
396 def get_renderer(self):

python2.6/site-packages/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *args, **kwargs)
 53 def draw_wrapper(artist, renderer, *args, **kwargs):
 54 before(artist, renderer)
---> 55 draw(artist, renderer, *args, **kwargs)
 56 after(artist, renderer)
 57

python2.6/site-packages/matplotlib/figure.pyc in draw(self, renderer)
796 dsu.sort(key=itemgetter(0))
797 for zorder, func, args in dsu:
--> 798 func(*args)
799
800 renderer.close_group('figure')

python2.6/site-packages/mpl_toolkits/mplot3d/axes3d.pyc in draw(self,
renderer)
152 # Calculate projection of collections and zorder them

153 zlist = [(col.do_3d_projection(renderer), col) \
--> 154  for col in self.collections]
155 zlist.sort()
156 zlist.reverse()

AttributeError: 'LineCollection' object has no attribute 'do_3d_projection'
WARNING: Failure executing file: 
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[Matplotlib-users] Axes3D figure to U3D

[Mark Bakker]

Hello List,

Is there anybody who has tried to convert a Axes3D figure to U3D so it can
be imbedded in a pdf file? It would be exceedingly cool. If anybody has code
that can do this, that would be most excellent. If not, does anybody have
any other thoughts on getting a 3D image in an interactive pdf file?

Thanks,

Mark
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[Matplotlib-users] axes3d zlabel fails to rotate

[Alan G Isaac]

If I rotate an axes3D instance with a zlabel
far enough so that the ticks and label "switch sides",
but so that the xlabel and ylabel remain at the bottom,
then the zlabel does not rotate 180 degrees,
as it should to look right.  (If I then tilt it so
that the xlabel and the ylabel move to the top,
it does the necessary rotation.)

Alan Isaac

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Re: [Matplotlib-users] Axes3D and basemap

[Ben Axelrod]

Here is a partial solution.  If you use the SVN code, check out this example:

http://matplotlib.sourceforge.net/trunk-docs/examples/mplot3d/pathpatch3d_demo.html
 
I haven't ever done it, but I think you can create some kind of image patch.

-Ben


-Original Message-
From: John [H2O] [mailto:washa...@gmail.com] 
Sent: Tuesday, March 02, 2010 1:10 PM
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Axes3D and basemap


Has anyone ever used a basemap instance as the 'floor' of an Axes3D plot? 

What I'm looking for is example code to do something like this:
http://www.dfanning.com/tips/scatter3d_on_map.jpg

Thanks,
john
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[Matplotlib-users] Axes3D and basemap

[John [H2O]]

Has anyone ever used a basemap instance as the 'floor' of an Axes3D plot? 

What I'm looking for is example code to do something like this:
http://www.dfanning.com/tips/scatter3d_on_map.jpg

Thanks,
john
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Re: [Matplotlib-users] Axes3D rotation not working when embedded in backend

[Ben Axelrod]

One more note about Axes3D and mouse rotation.  Axes3D disconnects the mouse 
callbacks when cla() is called.  Which means that if you do this:

self.axes = Axes3D(self.figure)
self.axes.scatter(xs, ys, zs)
self.axes.cla()
self.axes.scatter(xs, ys, zs)

then the plot will have no mouse rotation.  To fix this, mouse_init() should be 
called after cla().  Currently, all of this is undocumented.  Is disconnecting 
mouse callbacks on cla() the preferred matplotlib way to do things?  Is it safe 
to *not* disconnect mouse callbacks on cla()?  Maybe there is another type of 
destructor that is more appropriate for this?

Thanks,
-Ben

-Original Message-
From: Ben Axelrod [mailto:baxel...@coroware.com] 
Sent: Saturday, February 06, 2010 5:55 PM
To: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] Axes3D rotation not working when embedded in 
backend

I looked into this issue a little bit and found that the FigureCanvas must be 
set on the Figure before the 3D axes is instantiated.  A simple re-ordering of 
the lines in the code below makes mouse rotation work again.

# ...
self.figure = Figure()
self.canvas = FigureCanvas(self, -1, self.figure) #You must set up the canvas 
before creating the 3D axes self.axes = Axes3D(self.figure) # ...

Perhaps this should be documented somehow?  Or maybe a new mplot3d example code 
should be added.  Or maybe
Axes3D.mouse_init() should warn the user if self.figure.canvas is None.

-Ben


-Original Message-
From: Ben Axelrod [mailto:baxel...@coroware.com]
Sent: Monday, February 01, 2010 3:56 PM
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Axes3D rotation not working when embedded in backend

I would like to use Axes3D embedded in Wx.  This works, but there is no mouse 
rotation.  Clicking and dragging the mouse on the plot does not rotate the 3D 
axes like it does in the "scatter3d_demo.py".  I tried: WX, WXAgg, and TkAgg 
with similar results.  Can this be fixed soon, or can someone point me to where 
I can try to fix it?

I tested with the latest SVN tree on Linux and Windows.

Thanks,
-Ben

Below is some sample code adapted from "embedding_in_wx2.py", but with an 
Axes3D instead of the regular plot:

#!/usr/bin/env python
# adapted from example code "embedding_in_wx2.py"

# Used to guarantee to use at least Wx2.8 import wxversion
wxversion.ensureMinimal('2.8')

import numpy as np

import matplotlib

# uncomment the following to use wx rather than wxagg
#matplotlib.use('WX')
#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas

# comment out the following to use wx rather than wxagg
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

from matplotlib.figure import Figure
from mpl_toolkits.mplot3d import Axes3D
import wx

class CanvasFrame(wx.Frame):

def __init__(self):
wx.Frame.__init__(self,None,-1,
 'CanvasFrame',size=(550,350))

self.SetBackgroundColour(wx.NamedColor("WHITE"))

self.figure = Figure()
self.axes = Axes3D(self.figure)

xs = np.random.rand(100)
ys = np.random.rand(100)
zs = np.random.rand(100)
self.axes.scatter(xs, ys, zs)

self.canvas = FigureCanvas(self, -1, self.figure)

self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()

self.add_toolbar()  # comment this out for no toolbar


def add_toolbar(self):
self.toolbar = NavigationToolbar2Wx(self.canvas)
self.toolbar.Realize()
if wx.Platform == '__WXMAC__':
# Mac platform (OSX 10.3, MacPython) does not seem to cope with
# having a toolbar in a sizer. This work-around gets the buttons
# back, but at the expense of having the toolbar at the top
self.SetToolBar(self.toolbar)
else:
# On Windows platform, default window size is incorrect, so set
# toolbar width to figure width.
tw, th = self.toolbar.GetSizeTuple()
fw, fh = self.canvas.GetSizeTuple()
# By adding toolbar in sizer, we are able to put it at the bottom
# of the frame - so appearance is closer to GTK version.
# As noted above, doesn't work for Mac.
self.toolbar.SetSize(wx.Size(fw, th))
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
# update the axes menu on the toolbar
self.toolbar.update()


def OnPaint(self, event):
self.canvas.draw()

class App(wx.App):

def OnInit(self):
'Create the main window and insert the custom frame'
f

Re: [Matplotlib-users] Axes3D - Equal Aspect Ratio

[Paul Wellner Bou]

Hi,

I am searching for a solution of the axis aspect in 3d plots, too.

On 10/14/2009 14:01, Tinne De Laet wrote:
>
> axis("scaled")
> worked for me.
>
> Tinne

This does not seem to work. At least I am not getting it to work. This 
command does not seem to be applied to the 3d axis. Do you have an 
example where this works on 3d axis?

Regards
Paul.

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Re: [Matplotlib-users] Axes3D rotation not working when embedded in backend

[Ben Axelrod]

I looked into this issue a little bit and found that the FigureCanvas must be 
set on the Figure before the 3D axes is instantiated.  A simple re-ordering of 
the lines in the code below makes mouse rotation work again.

# ...
self.figure = Figure()
self.canvas = FigureCanvas(self, -1, self.figure)
#You must set up the canvas before creating the 3D axes
self.axes = Axes3D(self.figure)
# ...

Perhaps this should be documented somehow?  Or maybe a new mplot3d example code 
should be added.  Or maybe 
Axes3D.mouse_init() should warn the user if self.figure.canvas is None.

-Ben


-Original Message-
From: Ben Axelrod [mailto:baxel...@coroware.com] 
Sent: Monday, February 01, 2010 3:56 PM
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Axes3D rotation not working when embedded in backend

I would like to use Axes3D embedded in Wx.  This works, but there is no mouse 
rotation.  Clicking and dragging the mouse on the plot does not rotate the 3D 
axes like it does in the "scatter3d_demo.py".  I tried: WX, WXAgg, and TkAgg 
with similar results.  Can this be fixed soon, or can someone point me to where 
I can try to fix it?

I tested with the latest SVN tree on Linux and Windows.

Thanks,
-Ben

Below is some sample code adapted from "embedding_in_wx2.py", but with an 
Axes3D instead of the regular plot:

#!/usr/bin/env python
# adapted from example code "embedding_in_wx2.py"

# Used to guarantee to use at least Wx2.8 import wxversion
wxversion.ensureMinimal('2.8')

import numpy as np

import matplotlib

# uncomment the following to use wx rather than wxagg
#matplotlib.use('WX')
#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas

# comment out the following to use wx rather than wxagg
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

from matplotlib.figure import Figure
from mpl_toolkits.mplot3d import Axes3D
import wx

class CanvasFrame(wx.Frame):

def __init__(self):
wx.Frame.__init__(self,None,-1,
 'CanvasFrame',size=(550,350))

self.SetBackgroundColour(wx.NamedColor("WHITE"))

self.figure = Figure()
self.axes = Axes3D(self.figure)

xs = np.random.rand(100)
ys = np.random.rand(100)
zs = np.random.rand(100)
self.axes.scatter(xs, ys, zs)

self.canvas = FigureCanvas(self, -1, self.figure)

self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()

self.add_toolbar()  # comment this out for no toolbar


def add_toolbar(self):
self.toolbar = NavigationToolbar2Wx(self.canvas)
self.toolbar.Realize()
if wx.Platform == '__WXMAC__':
# Mac platform (OSX 10.3, MacPython) does not seem to cope with
# having a toolbar in a sizer. This work-around gets the buttons
# back, but at the expense of having the toolbar at the top
self.SetToolBar(self.toolbar)
else:
# On Windows platform, default window size is incorrect, so set
# toolbar width to figure width.
tw, th = self.toolbar.GetSizeTuple()
fw, fh = self.canvas.GetSizeTuple()
# By adding toolbar in sizer, we are able to put it at the bottom
# of the frame - so appearance is closer to GTK version.
# As noted above, doesn't work for Mac.
self.toolbar.SetSize(wx.Size(fw, th))
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
# update the axes menu on the toolbar
self.toolbar.update()


def OnPaint(self, event):
self.canvas.draw()

class App(wx.App):

def OnInit(self):
'Create the main window and insert the custom frame'
frame = CanvasFrame()
frame.Show(True)

return True

app = App(0)
app.MainLoop()
#end code




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[Matplotlib-users] Axes3D rotation not working when embedded in backend

[Ben Axelrod]

I would like to use Axes3D embedded in Wx.  This works, but there is no mouse 
rotation.  Clicking and dragging the mouse on the plot does not rotate the 3D 
axes like it does in the "scatter3d_demo.py".  I tried: WX, WXAgg, and TkAgg 
with similar results.  Can this be fixed soon, or can someone point me to where 
I can try to fix it?

I tested with the latest SVN tree on Linux and Windows.

Thanks,
-Ben

Below is some sample code adapted from "embedding_in_wx2.py", but with an 
Axes3D instead of the regular plot:

#!/usr/bin/env python
# adapted from example code "embedding_in_wx2.py"

# Used to guarantee to use at least Wx2.8
import wxversion
wxversion.ensureMinimal('2.8')

import numpy as np

import matplotlib

# uncomment the following to use wx rather than wxagg
#matplotlib.use('WX')
#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas

# comment out the following to use wx rather than wxagg
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas

from matplotlib.backends.backend_wx import NavigationToolbar2Wx

from matplotlib.figure import Figure
from mpl_toolkits.mplot3d import Axes3D
import wx

class CanvasFrame(wx.Frame):

def __init__(self):
wx.Frame.__init__(self,None,-1,
 'CanvasFrame',size=(550,350))

self.SetBackgroundColour(wx.NamedColor("WHITE"))

self.figure = Figure()
self.axes = Axes3D(self.figure)

xs = np.random.rand(100)
ys = np.random.rand(100)
zs = np.random.rand(100)
self.axes.scatter(xs, ys, zs)

self.canvas = FigureCanvas(self, -1, self.figure)

self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()

self.add_toolbar()  # comment this out for no toolbar


def add_toolbar(self):
self.toolbar = NavigationToolbar2Wx(self.canvas)
self.toolbar.Realize()
if wx.Platform == '__WXMAC__':
# Mac platform (OSX 10.3, MacPython) does not seem to cope with
# having a toolbar in a sizer. This work-around gets the buttons
# back, but at the expense of having the toolbar at the top
self.SetToolBar(self.toolbar)
else:
# On Windows platform, default window size is incorrect, so set
# toolbar width to figure width.
tw, th = self.toolbar.GetSizeTuple()
fw, fh = self.canvas.GetSizeTuple()
# By adding toolbar in sizer, we are able to put it at the bottom
# of the frame - so appearance is closer to GTK version.
# As noted above, doesn't work for Mac.
self.toolbar.SetSize(wx.Size(fw, th))
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND)
# update the axes menu on the toolbar
self.toolbar.update()


def OnPaint(self, event):
self.canvas.draw()

class App(wx.App):

def OnInit(self):
'Create the main window and insert the custom frame'
frame = CanvasFrame()
frame.Show(True)

return True

app = App(0)
app.MainLoop()
#end code




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[Matplotlib-users] Axes3D *args **kargs

[David Arnold]

All,

Is there a page that explains in full the Axes3D command and exactly  
what can be passed as arguments to Axes3D command?

view?

etc.

Thanks,

David

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Re: [Matplotlib-users] Axes3D - Equal Aspect Ratio

[Tinne De Laet]

Hi Thomas,.

> I'm playing around with mpl_toolkits.mplot3d to represent a 3D scatter, but
> I need the axis' aspect to be 'equal'. I tried to :
>
> ax = Axes3D(fig)
> ax.set_aspect('equal')

axis("scaled")
worked for me.

Tinne

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[Matplotlib-users] Axes3D - Equal Aspect Ratio

[Thomas Lecocq]

Dear All,

I'm playing around with mpl_toolkits.mplot3d to represent a 3D scatter, but I 
need the axis' aspect to be 'equal'. I tried to :

ax = Axes3D(fig)
ax.set_aspect('equal')

but it doesn't change anything...

Any tips ?

Thanks a lot in advance,

Thomas


**
Thomas Lecocq

Geologist
Ph.D.Student (Seismology)
Royal Observatory of Belgium
**

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Re: [Matplotlib-users] Axes3D labels

[Jae-Joon Lee]

I'm not an axes3d expert and below is from my quick at the code, so
there may be better ways.

axes3d have w_[xyz]axis attributes, which are responsible for drawing
tick, ticklables, and you need to change these to change ticks, etc.
While, I think something like w_xaxis.set_ticks should work, currently
it fails, which I think is a bug. As a workaround, you have to
directly set the ticklocator. For example, "ax.xaxis.set_ticks([-20,
0, 20])" becomes

from matplotlib.ticker import FixedLocator
locator = FixedLocator([-20, 0, 20])
ax.w_xaxis.set_major_locator(locator)

-JJ



On Tue, Oct 6, 2009 at 7:07 AM, William Hall  wrote:
> Does anyone know if it possible to annotate the axes with strings?
>
> I've tried a hundred combinations of set_xticklabels with and without
> set_xticks but absolutely nothing seems to have any effect.
>
> Perhaps this is a bug? Perhaps labelling 3d axes is not supported? There's
> no documentation on this matter and I'm at my wits end - any help is
> appreciated.
>
>
>
>
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[Matplotlib-users] Axes3D labels

[William Hall]

Does anyone know if it possible to annotate the axes with strings?

I've tried a hundred combinations of set_xticklabels with and without
set_xticks but absolutely nothing seems to have any effect.

Perhaps this is a bug? Perhaps labelling 3d axes is not supported? There's
no documentation on this matter and I'm at my wits end - any help is
appreciated.




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Re: [Matplotlib-users] Axes3D - size of the Z axe

[Nicolas Bigaouette]

I was looking for something similar. It seems Axes3D() takes the angle as
argument:
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d as m3d
fig = plt.figure()
ax  = m3d.Axes3D(fig, elev = 20.0, azim = 45)
in degrees.

2009/10/2 German Ocampo 

> Hello
>
> After search  in google, I found a solution changing the initial point
> of view of the plot, using a  function which control the angle and
> elevation of the initial view:
>
> ax.view_init(elevation, azimuth) and tried and works
>
> ax = Axes3D(fig)
> ax.view_init(64, -30)
>
> Question: Is it possible to include this function in the Axes3D
> documentation web page? or where I could find it in the webpage?
>
>
> http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/api.html?highlight=axes3d#module-mpl_toolkits.mplot3d.axes3d
>
> Thanks
>
> German
>
>
> On Fri, Oct 2, 2009 at 1:24 PM, German Ocampo  wrote:
> > Hello everybody
> >
> > How can I control the size of the Z axis in a 3D plot using Axes3D in
> > matplotlib?
> >
> > regards
> >
> > german
> >
>
>
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Re: [Matplotlib-users] Axes3D - size of the Z axe

[German Ocampo]

Hello

After search  in google, I found a solution changing the initial point
of view of the plot, using a  function which control the angle and
elevation of the initial view:

ax.view_init(elevation, azimuth) and tried and works

ax = Axes3D(fig)
ax.view_init(64, -30)

Question: Is it possible to include this function in the Axes3D
documentation web page? or where I could find it in the webpage?

http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/api.html?highlight=axes3d#module-mpl_toolkits.mplot3d.axes3d

Thanks

German


On Fri, Oct 2, 2009 at 1:24 PM, German Ocampo  wrote:
> Hello everybody
>
> How can I control the size of the Z axis in a 3D plot using Axes3D in
> matplotlib?
>
> regards
>
> german
>

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Re: [Matplotlib-users] Axes3D - size of the Z axe

[Matthias Michler]

On Friday 02 October 2009 14:24:17 German Ocampo wrote:
> Hello everybody
>
> How can I control the size of the Z axis in a 3D plot using Axes3D in
> matplotlib?

I think for an axes like "ax = Axes3D(fig)"
you can use "ax.set_zlim3d( ... )"

Kind regards,
Matthias

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[Matplotlib-users] Axes3D - size of the Z axe

[German Ocampo]

Hello everybody

How can I control the size of the Z axis in a 3D plot using Axes3D in
matplotlib?

regards

german

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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

[Reckoner]

if you're asking me, I don't have write access to this website.

Thanks again.

On Fri, Sep 18, 2009 at 4:45 AM, John Hunter  wrote:
> On Thu, Sep 17, 2009 at 8:34 PM, Reckoner  wrote:
>> thanks. does this mean that
>>
>> http://www.scipy.org/Cookbook/Matplotlib/mplot3D
>>
>> is out of date?
>
> Yes, it needs to be updated -- best would just be to remove the
> contents there and point to the mplot3d on the mpl website.  Can you
> do this for us?
>
> JDH
>

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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

[John Hunter]

On Thu, Sep 17, 2009 at 8:34 PM, Reckoner  wrote:
> thanks. does this mean that
>
> http://www.scipy.org/Cookbook/Matplotlib/mplot3D
>
> is out of date?

Yes, it needs to be updated -- best would just be to remove the
contents there and point to the mplot3d on the mpl website.  Can you
do this for us?

JDH

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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

[Eric Firing]

Reckoner wrote:
> thanks. does this mean that
> 
> http://www.scipy.org/Cookbook/Matplotlib/mplot3D
> 
> is out of date?

Yes.

Eric

> 
> thanks
> 
> 
> 
> On Thu, Sep 17, 2009 at 6:22 PM, John Hunter  wrote:
>> On Thu, Sep 17, 2009 at 6:46 PM, Reckoner  wrote:
>>> unless I'm misunderstanding something, the website says that
>>>
>>> matplotlib-0.99.0.win32-py2.5
>>>
>>> should contain the axes3d material. It doesn't. Instead, it axes3d.py
>>> contains the following:
>>>
>>> raise NotImplementedError('axes3d is not supported in matplotlib-0.98.
>>>  You may want to try the 0.91.x maintenance branch')
>>>
>>> note that I am on a Windows machine and I'm not sure I can build
>>> everything from the trunk.
>> It looks like you are having tow problems -- first, you apparently
>> installed a new matplotlib over an old matplotlib and so there are
>> some old files laying around. Blow away site-packages/matplotlib and
>> reinstall.  See
>>
>>  
>> http://matplotlib.sourceforge.net/faq/installing_faq.html#cleanly-rebuild-and-reinstall-everything
>>
>> Secondly, you need to be importing mplot3d from mpl_toolkits, it's new
>> location.  You appear to be importing it from matplotlib.axes3d, it's
>> old location which is now deprecated.  Eg see
>>
>> http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/tutorial.html
>>
>> Hope this helps,
>> JDH
>>
> 
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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

[Reckoner]

thanks. does this mean that

http://www.scipy.org/Cookbook/Matplotlib/mplot3D

is out of date?

thanks



On Thu, Sep 17, 2009 at 6:22 PM, John Hunter  wrote:
> On Thu, Sep 17, 2009 at 6:46 PM, Reckoner  wrote:
>> unless I'm misunderstanding something, the website says that
>>
>> matplotlib-0.99.0.win32-py2.5
>>
>> should contain the axes3d material. It doesn't. Instead, it axes3d.py
>> contains the following:
>>
>> raise NotImplementedError('axes3d is not supported in matplotlib-0.98.
>>  You may want to try the 0.91.x maintenance branch')
>>
>> note that I am on a Windows machine and I'm not sure I can build
>> everything from the trunk.
>
> It looks like you are having tow problems -- first, you apparently
> installed a new matplotlib over an old matplotlib and so there are
> some old files laying around. Blow away site-packages/matplotlib and
> reinstall.  See
>
>  http://matplotlib.sourceforge.net/faq/installing_faq.html#cleanly-rebuild-and-reinstall-everything
>
> Secondly, you need to be importing mplot3d from mpl_toolkits, it's new
> location.  You appear to be importing it from matplotlib.axes3d, it's
> old location which is now deprecated.  Eg see
>
> http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/tutorial.html
>
> Hope this helps,
> JDH
>

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Re: [Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

[John Hunter]

On Thu, Sep 17, 2009 at 6:46 PM, Reckoner  wrote:
> unless I'm misunderstanding something, the website says that
>
> matplotlib-0.99.0.win32-py2.5
>
> should contain the axes3d material. It doesn't. Instead, it axes3d.py
> contains the following:
>
> raise NotImplementedError('axes3d is not supported in matplotlib-0.98.
>  You may want to try the 0.91.x maintenance branch')
>
> note that I am on a Windows machine and I'm not sure I can build
> everything from the trunk.

It looks like you are having tow problems -- first, you apparently
installed a new matplotlib over an old matplotlib and so there are
some old files laying around. Blow away site-packages/matplotlib and
reinstall.  See

  
http://matplotlib.sourceforge.net/faq/installing_faq.html#cleanly-rebuild-and-reinstall-everything

Secondly, you need to be importing mplot3d from mpl_toolkits, it's new
location.  You appear to be importing it from matplotlib.axes3d, it's
old location which is now deprecated.  Eg see

http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/tutorial.html

Hope this helps,
JDH

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[Matplotlib-users] axes3d material in matplotlib-0.99.0.win32-py2.5 missing?

[Reckoner]

unless I'm misunderstanding something, the website says that

matplotlib-0.99.0.win32-py2.5

should contain the axes3d material. It doesn't. Instead, it axes3d.py
contains the following:

raise NotImplementedError('axes3d is not supported in matplotlib-0.98.
 You may want to try the 0.91.x maintenance branch')

note that I am on a Windows machine and I'm not sure I can build
everything from the trunk.

thanks in advance.

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Re: [Matplotlib-users] axes3D

[Johann Cohen-Tanugi]

I am under the impression that the way to go is now the mlab interface 
to mayavi2. Here is a nice talk by Gael : 
http://gael-varoquaux.info/physics/slides_Scipy2007.pdf
Johann

Eric Firing wrote:
> Lisa Tauxe wrote:
>   
>> Are there any plans for incorporating this (what used to be mplot3d)  
>> into the new matplotlib version?
>> 
>
> Not that I know of.  It was not being maintained even before the move to 
> 0.98.x.
>
> Eric
>
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Re: [Matplotlib-users] axes3D

[Eric Firing]

Lisa Tauxe wrote:
> Are there any plans for incorporating this (what used to be mplot3d)  
> into the new matplotlib version?

Not that I know of.  It was not being maintained even before the move to 
0.98.x.

Eric

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[Matplotlib-users] axes3D

[Lisa Tauxe]

Are there any plans for incorporating this (what used to be mplot3d)  
into the new matplotlib version?




Lisa Tauxe
Scripps Institution of Oceanography
La Jolla, CA 92093-0220
tel: (858) 534-6084
fax: (858) 534-0784
http://magician.ucsd.edu/~ltauxe/
[EMAIL PROTECTED]

NOTE: Fedex or other courier deliveries address:

300C Ritter Hall
8635 Discovery Way
La Jolla, CA 92037





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Re: [Matplotlib-users] Axes3d

[John Hunter]

On Fri, Jun 20, 2008 at 12:12 PM, Eric Firing <[EMAIL PROTECTED]> wrote:

>> transformation refactoring to have that working.  Personally, I'm +1 on
>> removing axes3d.py to avoid confusion.

Done

home:~/mpl/lib/matplotlib> cat axes3d.py
raise NotImplmentedError('axes3d is not supported in matplotlib-0.98.
You may want to try the 0.91.x maintenance branch')

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Re: [Matplotlib-users] Axes3d

[Eric Firing]

Michael Droettboom wrote:
> I'm not very familiar with how axes3d works, but just by looking at the 
> number of transform calls and objects, it appears that it will take 
> significant effort to update it.  It was never one of the goals of the 
> transformation refactoring to have that working.  Personally, I'm +1 on 
> removing axes3d.py to avoid confusion. 

I agree.  This is overdue.

Eric

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Re: [Matplotlib-users] Axes3d

[Andrew Straw]

Mike, just a question about the new transforms backend -- can the input
dimensionality be greater than 2? (I realize functions to do so probably
don't currently exist, but the question is about the transforms
machinery itself.)

-Andrew

Michael Droettboom wrote:
> I'm not very familiar with how axes3d works, but just by looking at the 
> number of transform calls and objects, it appears that it will take 
> significant effort to update it.  It was never one of the goals of the 
> transformation refactoring to have that working.  Personally, I'm +1 on 
> removing axes3d.py to avoid confusion. 
>
> However, a motivated user could follow the information in API_CHANGES to 
> update axes3d.py.  I'd be happy to help if you got stuck, but I don't 
> really have the motivation/mandate to do the whole thing myself.
>
> Cheers,
> Mike
>
> Matthias Michler wrote:
>   
>> Hello list,
>>
>> I know it is not recommended to use matplotlib for 3d plotting, but for a 
>> while simple plots worked fine for me. This is not the case with actual svn 
>> version and therefore my question is: Would it break at lost or cost much 
>> effort to make the 3d-plot-examples  of the Cookbook work?
>>
>> if I try:
>> [1] import matplotlib.axes3d as p3
>> I get the error attached below.
>>
>> Thanks for any advise in advance.
>>
>> best regards Matthias
>>
>> ---
>>Traceback (most recent call last)
>>
>> /home/michler/CompPhys_2008/Uebungsaufgaben/050_Antidot/3D_matplotlib/>  
>> console> in ()
>>
>> /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py in 
>> ()
>>  14 from axes import Axes
>>  15 import cbook
>> ---> 16 from transforms import unit_bbox
>>  17 
>>  18 import numpy as np
>>
>> : cannot import name unit_bbox
>>   
>> 
>>> /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py(16)()
>>> 
>>>   
>>  15 import cbook
>> ---> 16 from transforms import unit_bbox
>>  17 
>>
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>
>   


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Re: [Matplotlib-users] Axes3d

[Michael Droettboom]

In theory, yes, but it's a completely untested theory.  Each transform 
class has an input_dims and output_dims member that defines the input 
and output dimensions.  So theoretically, you could create a perspective 
or orthogonal projection that maps from 3D to 2D.

Cheers,
Mike

Andrew Straw wrote:
> Mike, just a question about the new transforms backend -- can the input
> dimensionality be greater than 2? (I realize functions to do so probably
> don't currently exist, but the question is about the transforms
> machinery itself.)
>
> -Andrew
>
> Michael Droettboom wrote:
>   
>> I'm not very familiar with how axes3d works, but just by looking at the 
>> number of transform calls and objects, it appears that it will take 
>> significant effort to update it.  It was never one of the goals of the 
>> transformation refactoring to have that working.  Personally, I'm +1 on 
>> removing axes3d.py to avoid confusion. 
>>
>> However, a motivated user could follow the information in API_CHANGES to 
>> update axes3d.py.  I'd be happy to help if you got stuck, but I don't 
>> really have the motivation/mandate to do the whole thing myself.
>>
>> Cheers,
>> Mike
>>
>> Matthias Michler wrote:
>>   
>> 
>>> Hello list,
>>>
>>> I know it is not recommended to use matplotlib for 3d plotting, but for a 
>>> while simple plots worked fine for me. This is not the case with actual svn 
>>> version and therefore my question is: Would it break at lost or cost much 
>>> effort to make the 3d-plot-examples  of the Cookbook work?
>>>
>>> if I try:
>>> [1] import matplotlib.axes3d as p3
>>> I get the error attached below.
>>>
>>> Thanks for any advise in advance.
>>>
>>> best regards Matthias
>>>
>>> ---
>>>Traceback (most recent call last)
>>>
>>> /home/michler/CompPhys_2008/Uebungsaufgaben/050_Antidot/3D_matplotlib/>>  
>>> console> in ()
>>>
>>> /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py in 
>>> ()
>>>  14 from axes import Axes
>>>  15 import cbook
>>> ---> 16 from transforms import unit_bbox
>>>  17 
>>>  18 import numpy as np
>>>
>>> : cannot import name unit_bbox
>>>   
>>> 
>>>   
 /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py(16)()
 
   
 
>>>  15 import cbook
>>> ---> 16 from transforms import unit_bbox
>>>  17 
>>>
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>>> 
>>>   
>>   
>> 
>
>   

-- 
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Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA


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Re: [Matplotlib-users] Axes3d

[Michael Droettboom]

I'm not very familiar with how axes3d works, but just by looking at the 
number of transform calls and objects, it appears that it will take 
significant effort to update it.  It was never one of the goals of the 
transformation refactoring to have that working.  Personally, I'm +1 on 
removing axes3d.py to avoid confusion. 

However, a motivated user could follow the information in API_CHANGES to 
update axes3d.py.  I'd be happy to help if you got stuck, but I don't 
really have the motivation/mandate to do the whole thing myself.

Cheers,
Mike

Matthias Michler wrote:
> Hello list,
>
> I know it is not recommended to use matplotlib for 3d plotting, but for a 
> while simple plots worked fine for me. This is not the case with actual svn 
> version and therefore my question is: Would it break at lost or cost much 
> effort to make the 3d-plot-examples  of the Cookbook work?
>
> if I try:
> [1] import matplotlib.axes3d as p3
> I get the error attached below.
>
> Thanks for any advise in advance.
>
> best regards Matthias
>
> ---
>Traceback (most recent call last)
>
> /home/michler/CompPhys_2008/Uebungsaufgaben/050_Antidot/3D_matplotlib/  
> console> in ()
>
> /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py in 
> ()
>  14 from axes import Axes
>  15 import cbook
> ---> 16 from transforms import unit_bbox
>  17 
>  18 import numpy as np
>
> : cannot import name unit_bbox
>   
>> /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py(16)()
>> 
>  15 import cbook
> ---> 16 from transforms import unit_bbox
>  17 
>
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-- 
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Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA


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[Matplotlib-users] Axes3d

[Matthias Michler]

Hello list,

I know it is not recommended to use matplotlib for 3d plotting, but for a 
while simple plots worked fine for me. This is not the case with actual svn 
version and therefore my question is: Would it break at lost or cost much 
effort to make the 3d-plot-examples  of the Cookbook work?

if I try:
[1] import matplotlib.axes3d as p3
I get the error attached below.

Thanks for any advise in advance.

best regards Matthias

---
   Traceback (most recent call last)

/home/michler/CompPhys_2008/Uebungsaufgaben/050_Antidot/3D_matplotlib/ in ()

/scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py in 
()
 14 from axes import Axes
 15 import cbook
---> 16 from transforms import unit_bbox
 17 
 18 import numpy as np

: cannot import name unit_bbox
> /scratch/michler/SOFT/lib/python2.5/site-packages/matplotlib/axes3d.py(16)()
 15 import cbook
---> 16 from transforms import unit_bbox
 17 

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Re: [Matplotlib-users] axes3d - very slow interactive use...

[Andrew Straw]

Marek Wojciechowski wrote:
> Hi!
> I created scatter3d plot with ca. 2000 points and i'm experiencing very,
> very slow behavior in the interactive window. Rotate/move/zoom options are
> not usable actually. Does anyone else experience this problem?
>
>   
Dear Marek,

The 3D plotting in matplotlib is not going to be fast (with the current 
approach). It is inherently doing the 3D->2D transform in software (and 
in Python, IIRC). Until a major re-write (of this part of the code, at 
least, if not the entire MPL transform system), your best bet for 
interactive 3D plotting is something else, such as tvtk's mlab package.

Cheers!
Andrew

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[Matplotlib-users] axes3d - very slow interactive use...

[Marek Wojciechowski]

Hi!
I created scatter3d plot with ca. 2000 points and i'm experiencing very,
very slow behavior in the interactive window. Rotate/move/zoom options are
not usable actually. Does anyone else experience this problem?

-- 
Marek Wojciechowski


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[Matplotlib-users] Axes3D odd label drawing

[Michael Held]

hello matplotlib-community,

the x,y,z labels of Axes3D are not oriented in the same 
azimuth/elevation as the plot is and often interferes with the ticks.
is this a known problem and does anybody know how to circumvent this?

thanks a lot!
michael

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ETH Zurich
Institute of Biochemistry
HPM E17, Schafmattstrasse 18
8093 Zuerich, Switzerland
Phone: +41 44 632 3148, Fax: +41 44 632 1269
[EMAIL PROTECTED]

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