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Hello,
 Could anyone tell me how to use plot3D in a subplot?
I looked at the examples at
 http://www.scipy.org/Cookbook/Matplotlib/mplot3D
But seems to me that matplotlib.axes3d.Axes3D can
be only constructed from a Figure instance but
not from a Subplot instance.
Thanks,
Bing

Mike,
That fixes things for me - many thanks. Unrelated, but to build from SVN 
I had to go diving in setupext.py to say that the tk include files are in:
/usr/include/tcl8.4
... while the tcl install home is /usr/share/tcltk. The command "locate 
tk.h" was particularly useful.
Many thanks again,
Jon
Michael Droettboom wrote:
> I assume you're using the matplotlib 0.91.2 that's distributed with 
> Ubuntu 8.04.
> 
> There was a recent fix for segfaulting in the exact same place (outside 
> of any sort of freezing apparatus). Since it was related to the 
> interpretation of a pointer, it's possible that you would see this 
> inside of cx-freeze and not outside on the same machine, just because 
> things get loaded into different parts of memory. I would try that fix 
> first, and then look at problems related to freezing.
> 
> We should have a new release out shortly, but it's unclear how long that 
> will take to trickle down into Ubuntu repositories.
> 
> You can check out the SVN maintenance branch from here (which has this 
> bugfix):
> 
> svn co 
> https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v0_91_maint 
> matplotlib-0.91.x
> 
> Let us know how that works for you.
> 
> Cheers,
> Mike
> 
> Jonathan Wright wrote:
>> Hello,
>>
>> I am getting segmentation faults when I try to freeze a script which 
>> uses the TkAgg backend, on python2.5.2, gcc 4.2.3 (ubuntu 8.04, hardy 
>> heron). A trial script is:
>>
>> import matplotlib
>> matplotlib.use("TkAgg") # unless you have it in matplotlibrc
>> import matplotlib.backends.backend_tkagg # explicit for freezer
>> from matplotlib.pylab import plot, show
>> plot(range(10), range(10), "+")
>> show()
>>
>> Is anyone already familiar with the problem? Things seem to work with 
>> the GTkAgg backend, but sadly many years ago I decided to use Tk as I 
>> thought it'd be easier to distribute. In order to reproduce the 
>> problem with bbfreeze you should just need this freezing script:
>>
>> from bbfreeze import Freezer
>> f = Freezer("dist",
>> includes=("matplotlib",
>> "matplotlib.numerix.fft",
>> "matplotlib.numerix.linear_algebra",
>> "matplotlib.numerix.ma",
>> "matplotlib.numerix.mlab",
>> "matplotlib.numerix.random_array"))
>> f.addScript("t.py")
>> f()
>>
>> For reproducing the problem with cx-freeze you need to (a) install it 
>> by patching the cx-freeze setup.py [so that (2, 5) -> (2, 6)] and (b) 
>> add an import for numpy.linalg.lapack_lite and edit your 
>> numpy.__init__ to remove numpy.test.
>>
>> Thanks for any advice,
>>
>> Jon
>> ---
>>
>> PS: gdb says
>> Program received signal SIGSEGV, Segmentation fault.
>> [Switching to Thread 0xb7c806b0 (LWP 8158)]
>> 0xb6e145a0 in ?? () from 
>> /home/wright/testcx/build/exe.linux-i686-2.5/matplotlib.backends._tkagg.so 
>>
>> (gdb) bt
>> #0 0xb6e145a0 in ?? () from 
>> /home/wright/testcx/build/exe.linux-i686-2.5/matplotlib.backends._tkagg.so 
>>
>> #1 0xb6badb6e in TclInvokeStringCommand () from /usr/lib/libtcl8.4.so.0
>> #2 0xb6baee56 in TclEvalObjvInternal () from /usr/lib/libtcl8.4.so.0
>> #3 0xb6baf0db in Tcl_EvalObjv () from /usr/lib/libtcl8.4.so.0
>> #4 0xb6ef96c6 in ?? () from 
>> /home/wright/testcx/build/exe.linux-i686-2.5/_tkinter.so
>> #5 0x0827a0c8 in ?? ()
>> #6 0x00000005 in ?? ()
>> ...
>>
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> 

Thanks! I also found the description under the class
RegularPolyCollection in collections.py:
* sizes gives the area of the circle circumscribing the regular
polygon in points^2
Neil
Manuel wrote:
> Hi Neil,
>
> good eyes ;-) Have a look at the scatter documentation:
>
> "s is a size in points^2. It is a scalar
> or an array of the same length as x and y."
>
> Manuel
>
> Neil Crighton wrote:
>> I'd like to plot values where the area of a marker is proportional to
>> some value. How is the size value given in, say:
>>
>> scatter(x,y,'o',s=10)
>>
>> used to generate the markers? By eye it looks like the size value is
>> proportional to the area (i.e. proportional to the radius squared for
>> circle markers), but it would be nice to know for sure.
>

I added a function and a method to control the color cycle. See 
examples/api/color_cycle.py, and r5250.
Eric
Eric Firing wrote:
> John Hunter wrote:
>> On Mon, May 19, 2008 at 8:38 AM, Zoho Vignochi <zoh...@gm...> wrote:
>>> Hello:
>>>
>>> I want to plot a variable number of lines but I would like the colors to
>>> cycle through a set pattern defined by me.
>>> ...snip
>>> and it works great. But I need legends for each line so I can't use
>>> collections. I would like to choose the colors and loop over a list if
>>> the lines exceed the colors while using plot. Any ideas?
>> You can override the default color cycle:
>>
>> import matplotlib.axes
>>
>> matplotlib.axes._process_plot_var_args.defaultColors =
>> [k','y','m','c','b','g','r']
>>
>> We should remove the leading underscore in the _process_plot_var_args
>> since it indicates users should not be working with it, but
>> customizing the color cycle is perfectly legit.
> 
> True, but from the standpoint of user interface design this may not be a 
> good way to do it. At the very least, shouldn't there be a more concise 
> variable or function? _process_plot_var_args really deserves its 
> leading underscore. We could use something like an axes-level function, 
> "set_color_cycle(clist)" to encapsulate what you suggest above.
> 
> Eric
> 
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