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I feel like I'm doing this right, but it doesn't work. Any clues?

from matplotlib import pyplot as pp

pp.plot((1,2,3))
ax = pp.gca()
f = pp.figure(num=2)
print 'first: %i' % ax.figure.number
print 'second: %i' % f.number
f.add_axes(ax)

yields:

Traceback (most recent call last):
   File "<stdin>", line 1, in <module>
   File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 606, 
in add_axes
     assert(a.get_figure() is self)
AssertionError


-- 
Christopher Brown, Ph.D.
Associate Research Professor
Department of Speech and Hearing Science
Arizona State University
http://pal.asu.edu

On 08/12/2011 08:07 AM, Benjamin Root wrote:
>
>
> On Fri, Aug 12, 2011 at 12:47 PM, Yoshi Rokuko <yo...@ro...
> <mailto:yo...@ro...>> wrote:
>
>     you mean something like that?
>
>     m.contourf(x, y, var, np.linspace(-100,100,33))
>
>     best regards
>
>
> In addition to that (which would provide control over the contouring),
> one can create a Normalization object, and supply that to the contourf
> calls to make sure that the coloring is done consistently.  Then, I

I think it is usually better to accept the default norm, and simply set 
the color boundaries using the levels kwarg or the equivalent forth 
argument as above.

> recommend making the colorbar object directly with a cmap and the same
> normalization objects that you used for the contourf()'s. This example
> should be helpful:

I don't agree.  It is simpler to pass the ContourSet object to the 
colorbar command or method.  Colorbar knows about contourf and "just 
works" with it. See

 
http://matplotlib.sourceforge.net/examples/pylab_examples/contourf_demo.html

for basic contourf with colorbar, and

http://matplotlib.sourceforge.net/examples/pylab_examples/multi_image.html

for a colorbar with multiple images (contourf plots would work the 
same).  The latter is more complex than is usually needed (it handles 
interactive changing of the colormap), but illustrates the use of a 
colorbar in a custom-made axes.

>
> http://matplotlib.sourceforge.net/examples/api/colorbar_only.html

The colorbar_only example should be needed only *very* rarely, if ever.

Eric

>
> Cheers!
> Ben Root

That's exactly it!  Thanks guys!

Bruce

---------------------------------------
Bruce W. Ford
Clear Science, Inc.
br...@cl...
http://www.ClearScienceInc.com
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Phone: (904) 796-8101
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Jacksonville, FL  32211
Skype:  bruce.w.ford




On Fri, Aug 12, 2011 at 1:47 PM, Yoshi Rokuko <yo...@ro...> wrote:

> you mean something like that?
>
> m.contourf(x, y, var, np.linspace(-100,100,33))
>
> best regards
>
>
> ------------------------------------------------------------------------------
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I installed freetype2 to the default location: /usr/local

Typing "freetype-config --ftversion" on the command line in any 
directory yields the freetype version number installed (2.4.6), which 
implies to me that its in the system search path, and thus should be 
available to distutils, right?
-- 

R. Padraic Springuel, PhD

On Fri, Aug 12, 2011 at 2:12 PM, R. Padraic Springuel
<R.S...@um...> wrote:
> I just downloaded and installed freetype2 in order to fix that potential
> problem and I still get the same error (can't find the headers) in the
> build output.

Where did you install the headers? Is this location included in
distutils search path?

I just downloaded and installed freetype2 in order to fix that potential 
problem and I still get the same error (can't find the headers) in the 
build output.
-- 

R. Padraic Springuel, PhD

On Fri, Aug 12, 2011 at 12:47 PM, Yoshi Rokuko <yo...@ro...> wrote:

> you mean something like that?
>
> m.contourf(x, y, var, np.linspace(-100,100,33))
>
> best regards
>
>
In addition to that (which would provide control over the contouring), one
can create a Normalization object, and supply that to the contourf calls to
make sure that the coloring is done consistently.  Then, I recommend making
the colorbar object directly with a cmap and the same normalization objects
that you used for the contourf()'s. This example should be helpful:

http://matplotlib.sourceforge.net/examples/api/colorbar_only.html

Cheers!
Ben Root

On Fri, Aug 12, 2011 at 12:33 PM, Alex Flint <ale...@gm...> wrote:

> I'm using the approach described the FAQ to save multiple figures to a
> multi-page PDF:
>
> http://matplotlib.sourceforge.net/faq/howto_faq.html#save-multiple-plots-to-one-pdf-file
>
> The figures are produced at consecutive iterations of my algorithm, and
> since each iteration takes a long time I'd like to save the PDF containing
> the current figures at each iteration so that I can take a look. However, it
> seems that I can only cause the PDF to be written to disk by calling
> PdfPages.close(), after which I can't add any more figures. Is there any way
> I can write a PdfPages object to file, then add more figures and write it to
> file again later?
>
> \A
>
>
Another option would be (if you are using Linux), to create an individual
pdf file for each figure (which would allow you to view the figure
individually as you progress), and then merge the pdfs together using the
"pdfjam" command after you finish your program.

Ben Root

On Fri, Aug 12, 2011 at 12:21 PM, WALTER Alain <ala...@th...
> wrote:

> Hello,
> I've developped an application that displays volume by using Axes3d module
> and plot() method. It runs well.
> Volumes are expressed in axes x,y,z that represents respectively the
> latitude,longitude and altitude.
> Taking a simple volume : a parallelepiped is defined by 2 series of points
> :
> A1(x1,y1,z_upper), A2(x2,y2,z_upper), A3(x3,y3,z_upper), A4(x4,y4,z_upper)
> A11(x1,y1,z_lower), A12(x2,y2,z_lower), A13(x3,y3,z_lower),
> A14(x4,y4,z_lower)
> My objective is to displays the faces of such volume (6  faces in that
> case).
> I suppose that I should trace my volume face by face and the following
> source code displays a single surface (a face of my volume):
> ##########################################
> import gtk
> import numpy as np
> from matplotlib.patches import Polygon, PathPatch
> import mpl_toolkits.mplot3d.art3d as art3d
> from matplotlib.figure import Figure
> from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as
> FigureCanvas
>
> class SectorDisplay2__:
>        def __init__(self):
>                win = gtk.Window()
>                win.set_default_size(800,800)
>                vbox = gtk.VBox()
>                win.add(vbox)
>
>                fig = Figure()
>                canvas = FigureCanvas(fig)  # a gtk.DrawingArea
>                ax = fig.add_subplot(111, projection='3d')
>
>                a = np.array([[0,0],[10,0],[10,10],[0,10]])
>                p = Polygon(a,fill=True)
>                ax.add_patch(p)
>                art3d.pathpatch_2d_to_3d(p, z=3)
>
>                ax.set_xlim3d(0, 20)
>                ax.set_ylim3d(0, 20)
>                ax.set_zlim3d(0, 20)
>
>                vbox.pack_start(canvas)
>                win.show_all()
>
>                # Run the Gtk mainloop
>                gtk.main()
>
> if __name__ == '__main__':
>        SectorDisplay2__()
> ##########################################
>
> But two problems appears :
> - the intruction "art3d.pathpatch_2d_to_3d(p, z=3)" can be called only once
> ! else message "AttributeError: 'PathPatch3D' object has no attribute
> '_path2d'" is issued
> - the isntruction set_xlim3d(0, 20) has no effect : whatever the values
> supplied to set_slim3d, the minimum/maximum of axes are defined always by
> the minimum/maximum of the data to display (coordinates of my points).
>

There have been many errors that have since been fixed in the upcoming
release with respect to mplot3d.  Whether your problem is fixed or not would
be hard to tell without knowing which version of matplotlib you are using.
Furthermore, while the pathpatch_2d_to_3d() functions are technically made
public (no leading underscore), it really is not intended to be the primary
method of creating 3D polygons.  Why not just simply use the
Poly3DCollection object to create a collection of one polygons?  (Yes, I
know there is no Polygon3D class... I hope to have this all resolved in the
future).

The limit setting should definitely be fixed in the upcoming release, but it
should be working in v1.0.1 as well.


> Thank you for any suggestion (even to represent such volumes in a different
> way as I choose)
>
>
All that aside, what you are describing is the display of physical 3D
objects in an interactive manner.  I will tell you right now that you will
not be happy with the results.  Because matplotlib is inherently a 2D
rendering system, the mplot3d module is a bit of a hack to get 3D displays
to work.  All data used to make the figures are projected from 3D to 2.1D.
The ".1" is a z-sort layering value that represents an entire 3d object.
Because there is only a single, scalar value to represent the location of
the object in depth, matplotlib will not always render the image correctly.
This is the layering artifact I spoke of in an earlier email.  Imagine 3
square polygons that meet at a corner.  At certain orientations, one of
those polygons could be drawn as if it was behind the other two polygons,
creating an Escher-like effect.

While myself and others are doing work to eliminate this limitation of
mplot3d to make matplotlib a one-stop-shop for scientific plotting, I would
recommend other python tools such as MayaVi and Chaco:

http://code.enthought.com/projects/mayavi/
http://code.enthought.com/projects/chaco/

I am not personally familiar with these tool, but they are all part of the
same SciPy community that we are in.  I have also heard good things about
Blender, but that is more geared for movie-making.

I hope this helps to save a lot of future aggravation, and I do hope that
you continue to use matplotlib for 2d plotting!

Cheers!
Ben Root

you mean something like that?

m.contourf(x, y, var, np.linspace(-100,100,33))

best regards

Hello!

I'm using matplotlib in my wx.Frame to draw some arrows and text at a 
certain position. The number and position of the arrows is based on 
previously created data. I do some calculations but basically it's like 
this:

arrow = primer
for each primer:
draw one arrow at position y - 0.05 to the previos arrow (primer_y - 0.05).
The x position of the arrow comes from the data, which is calculated 
and scaled (not so important know, it's just to now where the arrow 
should be at primer_x).

Everything works fine until I have many arrows to draw. E.g. in my code 
example the data contain 62 arrows, where 18 are drawn correctly, the 
next 3 are missing but the text is there and the rest is completly 
missing.

Does anyone knows what could be the problem? I tried allready to change 
the FigureSize but it's only stretch the arrows.

Here's a quick and dirty working example, data is included in the code:
http://pastebin.com/7mQmZm2c

Any help is highly appreciated!
Thanks in advance!
Stefanie

I'm using the approach described the FAQ to save multiple figures to a
multi-page PDF:
http://matplotlib.sourceforge.net/faq/howto_faq.html#save-multiple-plots-to-one-pdf-file

The figures are produced at consecutive iterations of my algorithm, and
since each iteration takes a long time I'd like to save the PDF containing
the current figures at each iteration so that I can take a look. However, it
seems that I can only cause the PDF to be written to disk by calling
PdfPages.close(), after which I can't add any more figures. Is there any way
I can write a PdfPages object to file, then add more figures and write it to
file again later?

\A

My purpose is explain by a new post more explicitely.
Alan
________________________________________
De : ben...@gm... [ben...@gm...] de la part de Benjamin Root [ben...@ou...]
Date d'envoi : vendredi 12 août 2011 16:14
À : WALTER Alain
Cc : mat...@li...
Objet : Re: [Matplotlib-users] where to download module mpl_toolkits.mplot3d.art3d

On Friday, August 12, 2011, WALTER Alain <ala...@th...<mailto:ala...@th...>> wrote:
> Hello
> I 've made some test so as to display a rectangle in a 3d view by using matplotlib methods.
> I get examples from address http://nullege.com/codes/show/src%40m%40a%40matplotlib-HEAD%40matplotlib%40lib%40mpl_toolkits%40mplot3d%40axes3d.py/881/art3d.Line3DCollection/python
>
> import warnings
> from matplotlib.axes import Axes, rcParams
> from matplotlib import cbook
> from matplotlib.transforms import Bbox
> from matplotlib import collections
> import numpy as np
> from matplotlib.colors import Normalize, colorConverter, LightSource
>
> import art3d
> import proj3d
> import axis3d
>
>
> then I remark that art3d is not included in matplotlib module, but I do not find any way to download art3d from the net. And why "import art3d" rather than "import mpl_toolkits.mplot3d.art3d" ?
> Is anybody is aware about this topic.
> Thanks a lot.
>

Since I happen to be the de facto 3d guy around here, I will respond.  I think your "example" is actually a bit of test code within the mplot3d module.  Because the code is within the same directory as the other files, that code can simply import art3d without specifying the module it resides in.

I should also warn you that it seems like you want to use mplot3d for general 3d plotting.  Mplot3d is not suitable for this because there are many layering artifacts that can occur.  What are you planning to plot?

Ben Root

Hello,
I've developped an application that displays volume by using Axes3d module and plot() method. It runs well.
Volumes are expressed in axes x,y,z that represents respectively the latitude,longitude and altitude.
Taking a simple volume : a parallelepiped is defined by 2 series of points : 
A1(x1,y1,z_upper), A2(x2,y2,z_upper), A3(x3,y3,z_upper), A4(x4,y4,z_upper)
A11(x1,y1,z_lower), A12(x2,y2,z_lower), A13(x3,y3,z_lower), A14(x4,y4,z_lower)
My objective is to displays the faces of such volume (6  faces in that case).
I suppose that I should trace my volume face by face and the following source code displays a single surface (a face of my volume):
##########################################
import gtk
import numpy as np
from matplotlib.patches import Polygon, PathPatch
import mpl_toolkits.mplot3d.art3d as art3d
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg as FigureCanvas
	
class SectorDisplay2__:
	def __init__(self):
        	win = gtk.Window()
		win.set_default_size(800,800)
		vbox = gtk.VBox()
		win.add(vbox)
		
		fig = Figure()
		canvas = FigureCanvas(fig)  # a gtk.DrawingArea		
		ax = fig.add_subplot(111, projection='3d')

		a = np.array([[0,0],[10,0],[10,10],[0,10]])
		p = Polygon(a,fill=True)
		ax.add_patch(p)
		art3d.pathpatch_2d_to_3d(p, z=3)

		ax.set_xlim3d(0, 20)
		ax.set_ylim3d(0, 20)
		ax.set_zlim3d(0, 20)
		
		vbox.pack_start(canvas)
		win.show_all()
		
		# Run the Gtk mainloop
		gtk.main()		

if __name__ == '__main__':
	SectorDisplay2__()
##########################################

But two problems appears : 
- the intruction "art3d.pathpatch_2d_to_3d(p, z=3)" can be called only once ! else message "AttributeError: 'PathPatch3D' object has no attribute '_path2d'" is issued
- the isntruction set_xlim3d(0, 20) has no effect : whatever the values supplied to set_slim3d, the minimum/maximum of axes are defined always by the minimum/maximum of the data to display (coordinates of my points).
Thank you for any suggestion (even to represent such volumes in a different way as I choose)

It seems I can only have a max of 7  labels displayed on my graph how
do I increase that?


        self.axes.clear()

        vals = self.plotInfo.getYValues()
        self.axes.set_xticks = range(len(vals))
        self.axes.set_xticklabels(self.plotInfo.getXValues())
        self.axes.bar(
            left=range(len(vals)),
            height=map(float, vals),
            width=.2,
            align='center',
            alpha=0.44,
            picker=5)

        msg = self.plotInfo.annotation.message
        if msg != None:
            self.axes.set_title(self.plotInfo.annotation.message)
        self.axes.set_xlabel(self.plotInfo.xCol, fontsize=6)
        self.axes.set_ylabel(self.plotInfo.yCol, fontsize=6)

        self.fig.autofmt_xdate()
        self.resetLabels()

Cheers,
  lars

In plotting the figure in the below code, I need to set the colorbar and
contourf scale to a specific value range  (e.g., -100 to 100).  When
plotting similar items, I need to ensure the scale is the same across
multiple images for comparison and overide the autoscaling.  Any ideas?
Seems like it should be something obvious, but I've been chasing my tail and
coming up empty.  I appreciate the help!


m = Basemap(resolution='c',projection='cyl',llcrnrlon=lon1,llcrnrlat=lat1,\
            urcrnrlon=lon2,urcrnrlat=lat2)
x,y = np.meshgrid(lon, lat)
fig1=plt.figure()
CS = m.contour(x,y,narr_totcld_summer -
wwmca_totcld_summer,15,linewidths=0.5,colors='k')
CS = m.contourf(x,y,narr_totcld_summer -
wwmca_totcld_summer,cmap=plt.cm.jet)
#CS = m.contourf(x,y,narr_totcld_summer -
wwmca_totcld_summer,cmap=plt.cm.jet, clim=[-100,100])  #didn't work..no
error but no scaling
cbar = plt.colorbar(CS, shrink=0.7, format="%1.1f",
spacing='proportional',orientation='vertical')
m.drawcoastlines()
m.drawmapboundary()
# draw parallels and meridians.
parallels = np.arange(-90,90,5)
m.drawparallels(parallels,labels=[1,0,0,1])
meridians = np.arange(0,357.5,5)
m.drawmeridians(meridians,labels=[1,0,0,1])
plt.title('Figure title')
plt.show()

---------------------------------------
Bruce W. Ford
Clear Science, Inc.

On Fri, Aug 12, 2011 at 10:04 AM, David Just <Jus...@ma...> wrote:

>  Now that I’m pre-building all my enlarged interpolated images to scroll
> through,  I’m having trouble forcing the figure/FigureCanvas to be the size
> I want.
>
> I’m trying:
> fig.set_size_inches(768 / 72.0, 768 / 72.0),  but it ends up the same size
> as the default plot.
>
> Thanks,
> Dave
>
>
>
Dave,

Don't know if that is a bug or not (never tried that function).  Typically,
I just use the figsize kwarg in the figure constructor.  Is it possible to
do it from there, or are you looking to adjust the figure size *after* the
figure has been displayed already?

Ben Root

Now that I¹m pre-building all my enlarged interpolated images to scroll
through,  I¹m having trouble forcing the figure/FigureCanvas to be the size
I want.

I¹m trying: 
fig.set_size_inches(768 / 72.0, 768 / 72.0),  but it ends up the same size
as the default plot.

Thanks,
Dave

Hello!

I'm using matplotlib in my wx.Frame to draw some arrows and text at a
certain position. The number and position of the arrows is based
on previously created data.
I do some calculations but basically it's like this:

arrow = primer
for each primer:
draw one arrow at position y - 0.05 to the previos arrow (primer_y - 0.05).
The x position of the arrow comes from the data, which is calculated and
scaled (not so important know, it's just to now where the arrow should be at
primer_x).

Everything works fine until I have many arrows to draw. E.g. in my code
example the data contain 62 arrows, where 18 are drawn correctly, the next 3
are missing but the text is there and the rest is completly missing.

Does anyone knows what could be the problem? I tried allready to change the
FigureSize but it's only stretch the arrows.

Here's a quick and dirty working example, data is included in the code:
http://pastebin.com/7mQmZm2c

Any help is highly appreciated!
Thanks in advance!
Stefanie

On Friday, August 12, 2011, WALTER Alain <ala...@th...>
wrote:
> Hello
> I 've made some test so as to display a rectangle in a 3d view by using
matplotlib methods.
> I get examples from address
http://nullege.com/codes/show/src%40m%40a%40matplotlib-HEAD%40matplotlib%40lib%40mpl_toolkits%40mplot3d%40axes3d.py/881/art3d.Line3DCollection/python
>
> import warnings
> from matplotlib.axes import Axes, rcParams
> from matplotlib import cbook
> from matplotlib.transforms import Bbox
> from matplotlib import collections
> import numpy as np
> from matplotlib.colors import Normalize, colorConverter, LightSource
>
> import art3d
> import proj3d
> import axis3d
>
>
> then I remark that art3d is not included in matplotlib module, but I do
not find any way to download art3d from the net. And why "import art3d"
rather than "import mpl_toolkits.mplot3d.art3d" ?
> Is anybody is aware about this topic.
> Thanks a lot.
>

Since I happen to be the de facto 3d guy around here, I will respond.  I
think your "example" is actually a bit of test code within the mplot3d
module.  Because the code is within the same directory as the other files,
that code can simply import art3d without specifying the module it resides
in.

I should also warn you that it seems like you want to use mplot3d for
general 3d plotting.  Mplot3d is not suitable for this because there are
many layering artifacts that can occur.  What are you planning to plot?

Ben Root

I wonder if it's worthwhile throwing a warning when mplot3d is used in 
conjunction with the Gtk backend?

Mike

On 08/12/2011 02:47 AM, Benjamin Root wrote:
>
>
> On Friday, August 12, 2011, WALTER Alain <ala...@th... 
> <mailto:ala...@th...>> wrote:
> > You're right I'm not clear. You thought I' am using text() from 
> matplotlib but If I'm looking to the text() invocation from the module 
> Axes3D:
> >         Axes3D.text(x, y, z, s, zdir=None, **kwargs)¶
> >         Add text to the plot. kwargs will be passed on to Axes.text, 
> except for the zdir keyword, which sets the direction to be used as 
> the z direction.
> > In my case:
> >      ax. text(23.1, 14.0, 340.0, 'ABETI', color='red')
> > Anyway, now I've replaced GTK backend by GTKagg backend, and 
> Everything seems better.
> > Alan
> >
>
> Ah, that explains everything!  Because text on an axes3d object has to 
> be projected to 2d, it uses simple AGG text rotation behind the scenes 
> to achieve that effect (rather than actually performing the expensive 
> tedious calculations to fully project it).  So, even though you are 
> not rotating the text, mplot3d is.
>
> Good to know that switching to GTKAgg fixed everything.
>
> Ben Root
>
>
> ------------------------------------------------------------------------------
> Get a FREE DOWNLOAD! and learn more about uberSVN rich system,
> user administration capabilities and model configuration. Take
> the hassle out of deploying and managing Subversion and the
> tools developers use with it.
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>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hello!

I'm using matplotlib in my wx.Frame to draw some arrows and text at a
certain position. The number and position of the arrows is based
on previously created data.
I do some calculations but basically it's like this:

arrow = primer
for each primer:
draw one arrow at position y - 0.05 to the previos arrow (primer_y - 0.05).
The x position of the arrow comes from the data, which is calculated and
scaled (not so important know, it's just to now where the arrow should be at
primer_x).

Everything works fine until I have many arrows to draw. E.g. in my code
example the data contain 62 arrows, where 18 are drawn correctly, the next 3
are missing but the text is there and the rest is completly missing.

Does anyone knows what could be the problem? I tried allready to change the
FigureSize but it's only stretch the arrows.

Here's a quick and dirty working example, data is included in the code:
http://pastebin.com/7mQmZm2c

Any help is highly appreciated!
Thanks in advance!
Stefanie

Hello
I 've made some test so as to display a rectangle in a 3d view by using matplotlib methods.
I get examples from address http://nullege.com/codes/show/src%40m%40a%40matplotlib-HEAD%40matplotlib%40lib%40mpl_toolkits%40mplot3d%40axes3d.py/881/art3d.Line3DCollection/python

import warnings
from matplotlib.axes import Axes, rcParams
from matplotlib import cbook
from matplotlib.transforms import Bbox
from matplotlib import collections
import numpy as np
from matplotlib.colors import Normalize, colorConverter, LightSource
  
import art3d
import proj3d
import axis3d


then I remark that art3d is not included in matplotlib module, but I do not find any way to download art3d from the net. And why "import art3d" rather than "import mpl_toolkits.mplot3d.art3d" ?
Is anybody is aware about this topic.
Thanks a lot.

Hello,
I have a graphic, that is built with matpotlib facilities. I display some texts with a color for the text and a color for the corresponding background. I want to optimize the lisibility of such texts, then I shall adapted the background color to the foreground color. For example, when background is 'black', a good foreground is 'white' and conversely, but supposing that foreground colors are randomly allocated, it is rather complicated. 
Is there any method based on rgb parameters to deduce background color from foreground color ?
Thank you

On Friday, August 12, 2011, WALTER Alain <ala...@th...>
wrote:
> You're right I'm not clear. You thought I' am using text() from matplotlib
but If I'm looking to the text() invocation from the module Axes3D:
>         Axes3D.text(x, y, z, s, zdir=None, **kwargs)¶
>         Add text to the plot. kwargs will be passed on to Axes.text,
except for the zdir keyword, which sets the direction to be used as the z
direction.
> In my case:
>      ax. text(23.1, 14.0, 340.0, 'ABETI', color='red')
> Anyway, now I've replaced GTK backend by GTKagg backend, and Everything
seems better.
> Alan
>

Ah, that explains everything!  Because text on an axes3d object has to be
projected to 2d, it uses simple AGG text rotation behind the scenes to
achieve that effect (rather than actually performing the expensive tedious
calculations to fully project it).  So, even though you are not rotating the
text, mplot3d is.

Good to know that switching to GTKAgg fixed everything.

Ben Root