matplotlib-users Mailing List for matplotlib

Thanks much for the quick answer Ben!

At least now I know it doesn't exist, yet. I might dig into the source 
code to change the color as you suggest. As a workaround, maybe I will 
simply tweak the .ps output in Adobe Illustrator; should be easy enough 
to remove such thing.

By the way, I'm very glad you (and people) took over the mplot3d. I 
really think that 3D plotting was the number one missing thing in 
Matplotlib and Python more generally. (mayavi2 is way to complicated and 
clunky for what most people need)

If I may make another suggestion, besides getting more control over the 
axes spines, it would be to allow the axes rendering to "mix" multiple 
plot objects. Let's say one plots a sphere and a cylinder (like a rod) 
that goes through the sphere and get the part of the cylinder that lies 
inside the sphere to be hidden. Of course, I realize it might not be 
trivial to do, depending exactly how plots are rendered.


Cheers,


Rene


On 11-02-23 05:33 PM, Benjamin Root wrote:
> On Wed, Feb 23, 2011 at 4:19 PM, Rene Breton <sup...@gm...
> <mailto:sup...@gm...>> wrote:
>
>     Hi all,
>
>     I'm making a 3d plot using Axes3D (plot_surface) and I want to get rid
>     of the 3d gray box that surrounds the object so that only the object
>     shows up. Is there a way to do it? After creating my Axes3D instance, I
>     can't find much else than methods to change the x,y,z labels and axis
>     limits.
>
>     I found a hack using myAXINFO to change the color of each "panel" but
>     the axis line still remains there.
>
>     Ideally, there would be methods to access the color, visibility, etc.,
>     of these elements. Maybe it's somewhere I can't find them...
>
>
>     Here's a code snippet derived from one of the website's examples:
>
>     #############
>     from mpl_toolkits.mplot3d import Axes3D
>     from matplotlib import cm
>     from matplotlib.ticker import LinearLocator, FixedLocator,
>     FormatStrFormatter
>     import matplotlib.pyplot as plt
>     import numpy as np
>
>     fig = plt.figure()
>     ax = fig.gca(projection='3d')
>     X = np.arange(-5, 5, 0.25)
>     Y = np.arange(-5, 5, 0.25)
>     X, Y = np.meshgrid(X, Y)
>     R = np.sqrt(X**2 + Y**2)
>     Z = np.sin(R)
>     surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,
>              linewidth=0, antialiased=False)
>     ax.set_zlim3d(-1.01, 1.01)
>
>     # The following makes the panels white, but the axis line remains there
>     myAXINFO = { 'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2), 'color':
>     (1.0, 1.0, 1.0, 1.0, 1.0)}, 'y': {'i': 1, 'tickdir': 0, 'juggled': (0,
>     1, 2), 'color': (1.0, 1.0, 1.0, 1.0, 1.0)}, 'z': {'i': 2, 'tickdir': 0,
>     'juggled': (0, 2, 1), 'color': (1.0, 1.0, 1.0, 1.0, 1.0)} }
>     ax.w_zaxis._AXINFO = myAXINFO
>     ax.w_yaxis._AXINFO = myAXINFO
>     ax.w_xaxis._AXINFO = myAXINFO
>
>     plt.show()
>     #############
>
>
>     Thanks!
>
>
>     Rene
>
>
>
> Rene,
>
> Unfortunately, you have stumbled upon one of the ugliness of the mplot3d
> implementation.  I am hoping to have more control available for the next
> release.  But right now, there is no way to turn off the axes spines
> (because they aren't implemented as spines).  If you really want to dig
> into the source code, you could change the color argument to the Line2D
> call in the init3d() method in matplotlib/lib/mpl_toolkits/axis3d.py
>
> I am sorry I can not be more helpful.
> Ben Root
>

On Wed, Feb 23, 2011 at 4:19 PM, Rene Breton <sup...@gm...>wrote:

> Hi all,
>
> I'm making a 3d plot using Axes3D (plot_surface) and I want to get rid
> of the 3d gray box that surrounds the object so that only the object
> shows up. Is there a way to do it? After creating my Axes3D instance, I
> can't find much else than methods to change the x,y,z labels and axis
> limits.
>
> I found a hack using myAXINFO to change the color of each "panel" but
> the axis line still remains there.
>
> Ideally, there would be methods to access the color, visibility, etc.,
> of these elements. Maybe it's somewhere I can't find them...
>
>
> Here's a code snippet derived from one of the website's examples:
>
> #############
> from mpl_toolkits.mplot3d import Axes3D
> from matplotlib import cm
> from matplotlib.ticker import LinearLocator, FixedLocator,
> FormatStrFormatter
> import matplotlib.pyplot as plt
> import numpy as np
>
> fig = plt.figure()
> ax = fig.gca(projection='3d')
> X = np.arange(-5, 5, 0.25)
> Y = np.arange(-5, 5, 0.25)
> X, Y = np.meshgrid(X, Y)
> R = np.sqrt(X**2 + Y**2)
> Z = np.sin(R)
> surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,
>         linewidth=0, antialiased=False)
> ax.set_zlim3d(-1.01, 1.01)
>
> # The following makes the panels white, but the axis line remains there
> myAXINFO = { 'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2), 'color':
> (1.0, 1.0, 1.0, 1.0, 1.0)}, 'y': {'i': 1, 'tickdir': 0, 'juggled': (0,
> 1, 2), 'color': (1.0, 1.0, 1.0, 1.0, 1.0)}, 'z': {'i': 2, 'tickdir': 0,
> 'juggled': (0, 2, 1), 'color': (1.0, 1.0, 1.0, 1.0, 1.0)} }
> ax.w_zaxis._AXINFO = myAXINFO
> ax.w_yaxis._AXINFO = myAXINFO
> ax.w_xaxis._AXINFO = myAXINFO
>
> plt.show()
> #############
>
>
> Thanks!
>
>
> Rene
>
>
>
Rene,

Unfortunately, you have stumbled upon one of the ugliness of the mplot3d
implementation.  I am hoping to have more control available for the next
release.  But right now, there is no way to turn off the axes spines
(because they aren't implemented as spines).  If you really want to dig into
the source code, you could change the color argument to the Line2D call in
the init3d() method in matplotlib/lib/mpl_toolkits/axis3d.py

I am sorry I can not be more helpful.
Ben Root

Hi all,

I'm making a 3d plot using Axes3D (plot_surface) and I want to get rid 
of the 3d gray box that surrounds the object so that only the object 
shows up. Is there a way to do it? After creating my Axes3D instance, I 
can't find much else than methods to change the x,y,z labels and axis 
limits.

I found a hack using myAXINFO to change the color of each "panel" but 
the axis line still remains there.

Ideally, there would be methods to access the color, visibility, etc., 
of these elements. Maybe it's somewhere I can't find them...


Here's a code snippet derived from one of the website's examples:

#############
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FixedLocator, 
FormatStrFormatter
import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.gca(projection='3d')
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet,
         linewidth=0, antialiased=False)
ax.set_zlim3d(-1.01, 1.01)

# The following makes the panels white, but the axis line remains there
myAXINFO = { 'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2), 'color': 
(1.0, 1.0, 1.0, 1.0, 1.0)}, 'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 
1, 2), 'color': (1.0, 1.0, 1.0, 1.0, 1.0)}, 'z': {'i': 2, 'tickdir': 0, 
'juggled': (0, 2, 1), 'color': (1.0, 1.0, 1.0, 1.0, 1.0)} }
ax.w_zaxis._AXINFO = myAXINFO
ax.w_yaxis._AXINFO = myAXINFO
ax.w_xaxis._AXINFO = myAXINFO

plt.show()
#############


Thanks!


Rene

On Wed, Feb 23, 2011 at 2:09 PM, bhargav vaidya <coo...@gm...> wrote:

> Hello Matplotlib Users.
>
> I am trying to work my way out to interpolate a surface from polar
> coordinates (R,Theta,Z) to rectangular co-ordinates(X,Y,Z)
> Basically I am looking for an equivalent for POLAR_SURFACE.pro routine in
> IDL using matplotlib/Scipy?
>
> http://idlastro.gsfc.nasa.gov/idl_html_help/POLAR_SURFACE.html
>
> Does anyone of you have done that before or could tell me what functions
> can I use to get that?
>
> Regards
> Bhargav Vaidya
>
>
(Quick Note: technically, you have cylindrical coordinates because you have
Z, not Phi)

While I am sure there are some more optimal methods, the straight-forward
way is to do something like the following:

import numpy as np
from scipy.interpolate import griddata

orig_x = R*np.cos(Theta)
orig_y = R*np.sin(Theta)
orig_z = Z

grid_x, grid_y, grid_z = np.mgrid[orig_x.min():orig_x.max():10j,

orig_y.min():orig_y.max():10j,

orig_z.min():orig_z.max():10j]

new_vals = griddata((orig_x, orig_y, orig_z), orig_vals, (grid_x,  grid_y,
grid_z)


After running this, you should have new_vals which should have the same
shape as grid_x.  You can also specify the interpolation method used by
griddata through the 'method' keyword argument.  The '10j' in the np.mgrid[]
call merely specifies the number of points you want in that axis and can be
changed to any other integer you want (just keep the 'j' there to make it
work the way we want).

I hope that helps!
Ben Root

There have been a lot of messages lately about histograms in general and I
though it was about time I share a bit of code I am using to handle them. I
have created a Histogram class that inherits directly from the numpy.ndarray
object. I then have a plothist() method which creates the plot on a canvas.
For 1D histograms, I create the PathPatch (Polygon) fom a series of points.
This is so that the histogram can be a single patch with a facecolor and an
edgecolor, though I usually have the edgecolor set to None. For 2D
histograms I use imshow() with interpolation='nearest'. This gives
rectangular bins which I prefer (over the hexbin) since typically, the
resolution of the x and y axes are different for me. I'm relatively new to
python so the code may be improved, but so far, it has worked quite nicely
for me. Hopefully it will work for someone else! And of course, if anyone
has any comments or suggestions, please let me know!

All definitions are in histogram.py. Put the test.py file in the same
directory and run test.py to make sure everything works.

http://old.nabble.com/file/p30998708/histogram.py histogram.py 
http://old.nabble.com/file/p30998708/test.py test.py 

Running test.py should give you several histogram figures including these:

http://old.nabble.com/file/p30998708/1dhist_color.png 
http://old.nabble.com/file/p30998708/2dhist_zeroed_colorbar.png 


-- 
View this message in context: http://old.nabble.com/1D-and-2D-histograms-using-numpy-and-matplotlib-tp30998708p30998708.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hello Matplotlib Users.

I am trying to work my way out to interpolate a surface from polar coordinates (R,Theta,Z) to rectangular co-ordinates(X,Y,Z) 
Basically I am looking for an equivalent for POLAR_SURFACE.pro routine in IDL using matplotlib/Scipy?

http://idlastro.gsfc.nasa.gov/idl_html_help/POLAR_SURFACE.html

Does anyone of you have done that before or could tell me what functions can I use to get that?

Regards
Bhargav Vaidya

Michael,
I can get that to work rather easily on a matplotlib.pyplot figure via a
patch.  I haven't had any luck getting that to work when using the
MatplotlibWidget in Qt.
Essentially in my code, I'm doing the following (where fig_myData is the
MatplotlibWidget instance):
        result = self.ui.fig_myData.axes.imshow(self.myData, cmap='jet',
interpolation='nearest', origin='lower', aspect='auto')
        self.ui.fig_myData.draw()
What do I put in before the draw() statement?  Something like
self.ui.fig_myData.set_facecolor('#e0e0e0') ?  I've tried that exact line
and the error I get is "MatplotlibWidget object has no attribute
'set_facecolor'".

Any ideas?
Thanks

On Fri, Feb 18, 2011 at 1:54 PM, Michael Droettboom <md...@st...> wrote:

>  I think you'll need to manually set the color of the figure.  I.e., given
> a figure object "fig":
>
> fig.set_facecolor(...whatever Qt API gives you the default background
> color...)
>
> You could also experiment with
>
> fig.set_frameon(False)
>
> which will not draw a background rectangle at all for the figure -- but
> that could cause overdrawing problems (possibly, haven't tried it).
>
> Mike
>
>
> On 02/18/2011 02:26 PM, Jason Stone wrote:
>
> Good afternoon all,
> I'm developing a GUI using QT Designer 4 and Python 2.7.  The GUI will need
> to have several plots on it in order to show the data in the ways that I
> need.  To accomplish this I'm using the matplotlib widget from within QT
> Designer.  It all seems to work great, but I can't seem to find a way to
> change the background color of the widget.  Essentially, I've got a nicely
> laid out GUI with the default QT Designer light gray as the "background
> color".  Then I've got these matplotlib widgets which by default have a
> darker shade of gray/charcoal as their "background color".  How do I change
> the matplotlib widget bgcolor to the default light gray so as to match the
> rest of the GUI?  Turning the background of the main GUI to the dark gray to
> match the matplotlib color is not an option.  I kind of assumed the issue
> has to do with the matplotlib widget and not with QT Designer, hence the
> reason for posting in this mailing list.
>
>  Does anyone have any thoughts regarding this?  Or can you point me to a
> documentation set that shows how to do this?
>
>
> ------------------------------------------------------------------------------
> The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
> Pinpoint memory and threading errors before they happen.
> Find and fix more than 250 security defects in the development cycle.
> Locate bottlenecks in serial and parallel code that limit performance.http://p.sf.net/sfu/intel-dev2devfeb
>
>
> _______________________________________________
> Matplotlib-users mailing lis...@li...://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>
> ------------------------------------------------------------------------------
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> Pinpoint memory and threading errors before they happen.
> Find and fix more than 250 security defects in the development cycle.
> Locate bottlenecks in serial and parallel code that limit performance.
> http://p.sf.net/sfu/intel-dev2devfeb
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

On Wed, Feb 23, 2011 at 8:34 AM, Jeff Layton <lay...@at...> wrote:

>  Good morning,
>
> I'm looking for examples of creating a bar chart and then adding
> a line chart on top of it (with the same y-axis). I haven't had
> much luck with Google (probably using the wrong search terms).
>
> Thanks!
>
> Jeff
>
>
Jeff,

You should be able to just call the bar() function and then call the plot()
function using the same axes object.  For example (untested):

import numpy as np
import matplotlib.pyplot as plt


fig = plt.figure()
ax = fig.gca()

xs = np.arange(10)
ys = np.random.rand(10)

ax.bar(xs, ys)
ax.plot(xs, ys)

plt.show()


I hope that helps!
Ben Root

  Good morning,

I'm looking for examples of creating a bar chart and then adding
a line chart on top of it (with the same y-axis). I haven't had
much luck with Google (probably using the wrong search terms).

Thanks!

Jeff

It sounds like your Python is not a framework build.

--Michiel.

--- On Tue, 2/22/11, Dominique Orban <dom...@gm...> wrote:

> From: Dominique Orban <dom...@gm...>
> Subject: [Matplotlib-users] MacOSX backend bug
> To: mat...@li...
> Date: Tuesday, February 22, 2011, 1:48 PM
> Hi there,
> 
> $ uname -a
> Darwin nazgul.local 10.6.0 Darwin Kernel Version 10.6.0:
> Wed Nov 10
> 18:13:17 PST 2010; root:xnu-1504.9.26~3/RELEASE_I386 i386
> $ python -c 'import matplotlib ; print
> matplotlib.__version__'
> 1.0.1
> 
> I installed Matplotlib from Pypi.
> 
> I'm having two problems with the MacOSX backend:
> 
> 1) Plot windows systematically appear *behind* any other
> window. This
> makes it difficult to find them.
> 
> 2) I can't type anything in the save dialog box. The cursor
> blinks in
> the text box, but any typing goes to the terminal. This is
> the same I
> believe as http://old.nabble.com/save-dialogue-in-macosx-bug-p27966555.html
> 
> I attach a screenshot to explain more clearly what's
> happening. Typing
> 'filename' in the save dialog box results in 'filename'
> being
> displayed in the terminal window, where the red arrow
> points to.
> 
> This seems to be related to the MacOSX backend as switching
> to TkAgg
> resolves #2 (#1 still happens).
> 
> Any ideas?
> 
> -- 
> Dominique
> 
> -----Inline Attachment Follows-----
> 
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I have compiled matplotlib with a 64 bit Python on Mac OS X (using setup.py) for the MacOSX backend. It's not as hard as it may seem.
You will need 64-bit (or multiple-architecture) libraries for zlib, libpng, etc. You may have those already; you can check that by running "file" on the library. For example:

$ file /usr/local/lib/libpng.dylib 
/usr/local/lib/libpng.dylib: Mach-O universal binary with 2 architectures
/usr/local/lib/libpng.dylib (for architecture i386):	Mach-O dynamically linked shared library i386
/usr/local/lib/libpng.dylib (for architecture x86_64):	Mach-O 64-bit dynamically linked shared library x86_64

If the library is 32-bit only, then you will have to compile your own zlib, libpng etc. If the library includes 64-bit, then you just need to compile matplotlib.

--Michiel.

--- On Tue, 2/22/11, Gideon Simpson <si...@ma...> wrote:

> From: Gideon Simpson <si...@ma...>
> Subject: [Matplotlib-users] mpl 1.0.1 + snow leopard + python 2.7
> To: mat...@li...
> Date: Tuesday, February 22, 2011, 1:35 PM
> Hi, I have OS X 10.6.6, Python 2.7.1
> installed from the binary at python.org, and I am trying to
> get mpl 1.0.1 running.  I have no problem with
> numpy/scipy, but I seem to be having 32 vs. 64 bit issues
> with mpl.  I believe that the binaries online are only
> 32 bit, yet my installation is 64 bit.  I have tried
> using the make.osx file, but this has not proved successful
> so far.  In part, I am trying to avoid installing
> duplicate png/zlib/freetype/... libraries, which seem to be
> working fine at present.  Has anyone successfully
> gotten this running from source?  Alternatively, does
> anyone have 64 bit binaries?
>  
> -gideon
> 
> 
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> 


      

Per a suggestion, I downgraded myself to the 32 bit python 2.7.1.  I tried installing the 32 bit binaries from the website, but get the following:


Python 2.7.1 (r271:86882M, Nov 30 2010, 09:39:13) 
[GCC 4.0.1 (Apple Inc. build 5494)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pylab
Bus error

-gideon