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From: Attila Kiss <atlasz@gm...>  20110207 23:30:20

> > Can you get us a gdb backtrace? > > Type "gdb python" at the prompt, then at the gdb prompt, type "r > /usr/bin/ipython pylab". After it segfaults, type "bt" to get a > backtrace, and send the output to this list. > > Mike > > On 10/01/2010 07:04 AM, Eric Emsellem wrote: > > Hi > > > > I just upgraded to opensuse 11.3. > > > > And I get now: > > > > ipython pylab: > > > > matplotlib version 1.0.0 > > verbose.level helpful > > platform is linux2 > > *Segmentation fault* > > > > > > Any clue? > > > > I am using IPython 0.10, Python 2.6.5 > > > > Eric > > > > > > Hello, here is one: Program received signal SIGSEGV, Segmentation fault. 0x0000000000000000 in ?? () (gdb) bt #0 0x0000000000000000 in ?? () #1 0x00007ffff0911651 in init_path () from /usr/lib64/python2.6/sitepackages/matplotlib/_path.so #2 0x00007ffff7b352c6 in _PyImport_LoadDynamicModule () from /usr/lib64/libpython2.6.so.1.0 #3 0x00007ffff7b344e1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #4 0x00007ffff7b3475a in ?? () from /usr/lib64/libpython2.6.so.1.0 #5 0x00007ffff7b34bf1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #6 0x00007ffff7b351d4 in PyImport_ImportModuleLevel () from /usr/lib64/libpython2.6.so.1.0 #7 0x00007ffff7b1f81b in ?? () from /usr/lib64/libpython2.6.so.1.0 #8 0x00007ffff7ae7cb2 in PyObject_Call () from /usr/lib64/libpython2.6.so.1.0 #9 0x00007ffff7b1fd26 in PyEval_CallObjectWithKeywords () from /usr/lib64/libpython2.6.so.1.0 #10 0x00007ffff7b21b1e in PyEval_EvalFrameEx () from /usr/lib64 /libpython2.6.so.1.0 #11 0x00007ffff7b26431 in PyEval_EvalCodeEx () from /usr/lib64 /libpython2.6.so.1.0 #12 0x00007ffff7b1fa22 in PyEval_EvalCode () from /usr/lib64/libpython2.6.so.1.0 #13 0x00007ffff7b33145 in PyImport_ExecCodeModuleEx () from /usr/lib64/libpython2.6.so.1.0 #14 0x00007ffff7b33384 in ?? () from /usr/lib64/libpython2.6.so.1.0 #15 0x00007ffff7b344e1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #16 0x00007ffff7b3475a in ?? () from /usr/lib64/libpython2.6.so.1.0 #17 0x00007ffff7b34b35 in ?? () from /usr/lib64/libpython2.6.so.1.0 #18 0x00007ffff7b351d4 in PyImport_ImportModuleLevel () from /usr/lib64/libpython2.6.so.1.0 #19 0x00007ffff7b1f81b in ?? () from /usr/lib64/libpython2.6.so.1.0 #20 0x00007ffff7ae7cb2 in PyObject_Call () from /usr/lib64/libpython2.6.so.1.0 #21 0x00007ffff7b1fd26 in PyEval_CallObjectWithKeywords () from /usr/lib64/libpython2.6.so.1.0 #22 0x00007ffff7b21b1e in PyEval_EvalFrameEx () from /usr/lib64 /libpython2.6.so.1.0 #23 0x00007ffff7b26431 in PyEval_EvalCodeEx () from /usr/lib64 /libpython2.6.so.1.0 #24 0x00007ffff7b1fa22 in PyEval_EvalCode () from /usr/lib64/libpython2.6.so.1.0 #25 0x00007ffff7b33145 in PyImport_ExecCodeModuleEx () from /usr/lib64/libpython2.6.so.1.0 #26 0x00007ffff7b33384 in ?? () from /usr/lib64/libpython2.6.so.1.0 #27 0x00007ffff7b344e1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #28 0x00007ffff7b33c4b in ?? () from /usr/lib64/libpython2.6.so.1.0 #29 0x00007ffff7b34c5a in ?? () from /usr/lib64/libpython2.6.so.1.0 #30 0x00007ffff7b351d4 in PyImport_ImportModuleLevel () from /usr/lib64/libpython2.6.so.1.0 #31 0x00007ffff7b1f81b in ?? () from /usr/lib64/libpython2.6.so.1.0 #32 0x00007ffff7ae7cb2 in PyObject_Call () from /usr/lib64/libpython2.6.so.1.0 #33 0x00007ffff7b1fd26 in PyEval_CallObjectWithKeywords () from /usr/lib64/libpython2.6.so.1.0 #34 0x00007ffff7b21b1e in PyEval_EvalFrameEx () from /usr/lib64 /libpython2.6.so.1.0 #35 0x00007ffff7b26431 in PyEval_EvalCodeEx () from /usr/lib64 /libpython2.6.so.1.0 #36 0x00007ffff7b1fa22 in PyEval_EvalCode () from /usr/lib64/libpython2.6.so.1.0 #37 0x00007ffff7b33145 in PyImport_ExecCodeModuleEx () from /usr/lib64/libpython2.6.so.1.0 #38 0x00007ffff7b33384 in ?? () from /usr/lib64/libpython2.6.so.1.0 #39 0x00007ffff7b344e1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #40 0x00007ffff7b33c4b in ?? () from /usr/lib64/libpython2.6.so.1.0 #41 0x00007ffff7b34c5a in ?? () from /usr/lib64/libpython2.6.so.1.0 #42 0x00007ffff7b351d4 in PyImport_ImportModuleLevel () from /usr/lib64/libpython2.6.so.1.0 #43 0x00007ffff7b1f81b in ?? () from /usr/lib64/libpython2.6.so.1.0 #44 0x00007ffff7ae7cb2 in PyObject_Call () from /usr/lib64/libpython2.6.so.1.0 #45 0x00007ffff7b1fd26 in PyEval_CallObjectWithKeywords () from /usr/lib64/libpython2.6.so.1.0 #46 0x00007ffff7b21b1e in PyEval_EvalFrameEx () from /usr/lib64 /libpython2.6.so.1.0 #47 0x00007ffff7b26431 in PyEval_EvalCodeEx () from /usr/lib64 /libpython2.6.so.1.0 #48 0x00007ffff7b1fa22 in PyEval_EvalCode () from /usr/lib64/libpython2.6.so.1.0 #49 0x00007ffff7b33145 in PyImport_ExecCodeModuleEx () from /usr/lib64/libpython2.6.so.1.0 #50 0x00007ffff7b33384 in ?? () from /usr/lib64/libpython2.6.so.1.0 #51 0x00007ffff7b344e1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #52 0x00007ffff7b3475a in ?? () from /usr/lib64/libpython2.6.so.1.0 #53 0x00007ffff7b34bf1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #54 0x00007ffff7b351d4 in PyImport_ImportModuleLevel () from /usr/lib64/libpython2.6.so.1.0 #55 0x00007ffff7b1f81b in ?? () from /usr/lib64/libpython2.6.so.1.0 #56 0x00007ffff7ae7cb2 in PyObject_Call () from /usr/lib64/libpython2.6.so.1.0 #57 0x00007ffff7b1fd26 in PyEval_CallObjectWithKeywords () from /usr/lib64/libpython2.6.so.1.0 #58 0x00007ffff7b21b1e in PyEval_EvalFrameEx () from /usr/lib64 /libpython2.6.so.1.0 #59 0x00007ffff7b26431 in PyEval_EvalCodeEx () from /usr/lib64 /libpython2.6.so.1.0 #60 0x00007ffff7b1fa22 in PyEval_EvalCode () from /usr/lib64/libpython2.6.so.1.0 #61 0x00007ffff7b33145 in PyImport_ExecCodeModuleEx () from /usr/lib64/libpython2.6.so.1.0 #62 0x00007ffff7b33384 in ?? () from /usr/lib64/libpython2.6.so.1.0 #63 0x00007ffff7b344e1 in ?? () from /usr/lib64/libpython2.6.so.1.0 #64 0x00007ffff7b3475a in ?? () from /usr/lib64/libpython2.6.so.1.0 #65 0x00007ffff7b350c3 in ?? () from /usr/lib64/libpython2.6.so.1.0 #66 0x00007ffff7b351d4 in PyImport_ImportModuleLevel () from /usr/lib64/libpython2.6.so.1.0 #67 0x00007ffff7b1f81b in ?? () from /usr/lib64/libpython2.6.so.1.0 #68 0x00007ffff7ae7cb2 in PyObject_Call () from /usr/lib64/libpython2.6.so.1.0 #69 0x00007ffff7b1fd26 in PyEval_CallObjectWithKeywords () from /usr/lib64/libpython2.6.so.1.0 #70 0x00007ffff7b21b1e in PyEval_EvalFrameEx () from /usr/lib64 /libpython2.6.so.1.0 #71 0x00007ffff7b26431 in PyEval_EvalCodeEx () from /usr/lib64 /libpython2.6.so.1.0 #72 0x00007ffff7b1fa22 in PyEval_EvalCode () from /usr/lib64/libpython2.6.so.1.0 #73 0x00007ffff7b3a791 in ?? () from /usr/lib64/libpython2.6.so.1.0 #74 0x00007ffff7ad46f0 in PyRun_InteractiveOneFlags () from /usr/lib64/libpython2.6.so.1.0 #75 0x00007ffff7ad4811 in PyRun_InteractiveLoopFlags () from /usr/lib64/libpython2.6.so.1.0 #76 0x00007ffff7b3b876 in PyRun_AnyFileExFlags () from /usr/lib64/libpython2.6.so.1.0 #77 0x00007ffff7b42628 in Py_Main () from /usr/lib64/libpython2.6.so.1.0 #78 0x00007ffff6e8eb7d in __libc_start_main () from /lib64/libc.so.6 #79 0x00000000004006e9 in _start () at ../sysdeps/x86_64/elf/start.S:113 (gdb) openSUSE 11.3 # rpm qa python pythonmatplotlib pythonmatplotlib1.0.117.1.x86_64 python2.6.53.3.1.x86_64 # uname a Linux kiss 2.6.34.70.7default #1 SMP 20101213 11:13:53 +0100 x86_64 x86_64 x86_64 GNU/Linux BR, Attila 
From: Daniel Mader <danielstefanmader@go...>  20110207 21:32:51

Thanks a lot Thomas, besides that it should be fig.colorbar(im) instead of ax.colorbar(im) the example works great! Best regards, Daniel 2011/2/7 Eric Firing > On 02/07/2011 10:48 AM, Daniel Mader wrote: > > Hi, > > > > I am trying to add a (configurable) colorbar to a an array which I > > simply plot with imshow(). > > > > Could anyone please help me how to enhance it with a colorbar? > > Check out the gallery; several examples there use a colorbar. > http://matplotlib.sourceforge.net/gallery.html > > Then look for relevant sections in the docs, such as > http://matplotlib.sourceforge.net/users/image_tutorial.html > > http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.colorbar > etc. > > Eric > > > > > import scipy,pylab > > import matplotlib.cm <http://matplotlib.cm>; as cm # colormaps > > import matplotlib.colors as col # colormaps > > > > dat = scipy.array([[1,2,3,4],[5,6,7,8]]) > > > > fig = pylab.figure() > > ax = pylab.gca() > > ax.set_title('the title') > > > > ## here's chaos :) > > #cmap = cm.get_cmap('rainbow', 20) # 10 discrete colors > > #ax.imshow(dat, cmap=cmap, interpolation='nearest') > > #fig.colorbar(dat) > > #min,max = dat.min(),dat.max() > > > > ax.imshow(dat,interpolation='nearest') > > pylab.show() > > > > Thanks a lot in advance, > > Daniel > > > 
From: Eric Firing <efiring@ha...>  20110207 21:23:51

On 02/07/2011 10:48 AM, Daniel Mader wrote: > Hi, > > I am trying to add a (configurable) colorbar to a an array which I > simply plot with imshow(). > > Could anyone please help me how to enhance it with a colorbar? Check out the gallery; several examples there use a colorbar. http://matplotlib.sourceforge.net/gallery.html Then look for relevant sections in the docs, such as http://matplotlib.sourceforge.net/users/image_tutorial.html http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.colorbar etc. Eric > > import scipy,pylab > import matplotlib.cm <http://matplotlib.cm>; as cm # colormaps > import matplotlib.colors as col # colormaps > > dat = scipy.array([[1,2,3,4],[5,6,7,8]]) > > fig = pylab.figure() > ax = pylab.gca() > ax.set_title('the title') > > ## here's chaos :) > #cmap = cm.get_cmap('rainbow', 20) # 10 discrete colors > #ax.imshow(dat, cmap=cmap, interpolation='nearest') > #fig.colorbar(dat) > #min,max = dat.min(),dat.max() > > ax.imshow(dat,interpolation='nearest') > pylab.show() > > Thanks a lot in advance, > Daniel > > > >  > The ultimate allinone 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/inteldev2devfeb > > > > _______________________________________________ > Matplotlibusers mailing list > Matplotlibusers@... > https://lists.sourceforge.net/lists/listinfo/matplotlibusers 
From: Daniel Mader <danielstefanmader@go...>  20110207 20:48:59

Hi, I am trying to add a (configurable) colorbar to a an array which I simply plot with imshow(). Could anyone please help me how to enhance it with a colorbar? import scipy,pylab import matplotlib.cm as cm # colormaps import matplotlib.colors as col # colormaps dat = scipy.array([[1,2,3,4],[5,6,7,8]]) fig = pylab.figure() ax = pylab.gca() ax.set_title('the title') ## here's chaos :) #cmap = cm.get_cmap('rainbow', 20) # 10 discrete colors #ax.imshow(dat, cmap=cmap, interpolation='nearest') #fig.colorbar(dat) #min,max = dat.min(),dat.max() ax.imshow(dat,interpolation='nearest') pylab.show() Thanks a lot in advance, Daniel 
From: Jorge Scandaliaris <jorgesmboxml@ya...>  20110207 19:39:31

Jorge Scandaliaris <jorgesmboxml@...> writes: < snip > > I couldn't come up with a simple example showing the problem. My attempts so > far > ended in working examples. I did find a change in my code that triggers the > problem: My code uses a modified version of the lasso_demo example, contains > two > axes, where I draw an image with imshow and a collection of circles with > scatter. Originally scatter was called with a fixed size for all points, and I > just changed it so each points gets a different size. > > Just don't ask me why this seemingly innocent change affects (breaks) the > event > handling. I hope somebody can give me some hints. I'll keep checking the code > to Because I couldn't reproduce the problem on simple examples, and also because I have time constraints related to my work, I decided to go on ignoring this problem (I can always avoid resizing windows...). This afternoon, I realized that the problem had not appeared during the whole day, but then realized that because I was debugging some changes introduced in my code, I had been using very small images. After switching back to normal sizes, the problem came back. So, I modified the lasso_demo, increasing progressively the number polygons drawn. When I reached 100000 polygons, I was able to reproduce the problem. It's true that this a rather large number, but in my code it happens well below this number, maybe because I assign a different color and size to each polygon. So my previous observation that setting different sizes triggered the problem might not be the real picture. It seems as if I was hitting some sort of limit. Anyone would have a clue about what could be happening, or how can I try to debug this? Thanks, jorges 
From: Michael Anselmi <selmo2000@gm...>  20110207 19:33:21

On 02/07/2011 11:58 AM, Jouni K. Seppänen wrote: > Jouni Seppänen <jks@...> writes: > >> In the meantime, I will commit a quick workaround that just disables >> the fonts we can't handle instead of aborting with an assert. > > Now committed in revision 8955 (1.0 maintenance branch) and 8956 > (svn trunk). Please test on your system. The workaround fixes the error I was receiving. Thank you very much!  Michael Anselmi Class of 2011 Mathematics (B.S.) University of Rochester 508.507.9738 
From: Eric Firing <efiring@ha...>  20110207 17:57:45

On 02/07/2011 05:47 AM, Carlos Grohmann wrote: > Hello all, > > I'm developing a software for Geology, using wxpython for the GUI. > When I want to export any graphics, clicking on the > "save" button on the MPL toolbar, I get a dialog to save the file > (with a default "image.png" filename) and where I > can choose between some file formats. When I select any format from > the dropdown list, I expected it to change the extension > of the file on the dialog, but it doesn't. So I have to set it up > manually. Is this a bug? Yes. It works correctly with gtk, but it looks like there are problems with wx and qt4. Eric > > thanks > 
From: Eric Firing <efiring@ha...>  20110207 17:52:41

On 02/07/2011 05:21 AM, Carlos Grohmann wrote: > Hello there > > Is there support for exporting graphics as EMF files? > >> From what I've seen it seems to be discontinued. > > best > > Carlos > > > Carlos, There is still a backend_emf.py, but I don't think it was ever complete (for example, it does not handle images). It has no regular maintainer. I don't know to what extent it still works. It requires pyemf, which was last released in 2006. Eric 
From: Jouni K. Seppänen <jks@ik...>  20110207 16:58:56

Jouni Seppänen <jks@...> writes: >In the meantime, I will commit a quick workaround that just disables >the fonts we can't handle instead of aborting with an assert. Now committed in revision 8955 (1.0 maintenance branch) and 8956 (svn trunk). Please test on your system. 
From: Alex <alex.workplace@go...>  20110207 16:53:01

On 07.02.2011 17:17, Jouni K. Seppänen wrote: > Jouni Seppänen<jks@...> writes: > >> I filed this in the bug tracker: https://sourceforge.net/tracker/?func=detail&aid=3175113&group_id=80706&atid=560720 > > I installed TeX Live 2010 on my Mac in order to test this, but > mysteriously, the pdftex.map file does not have a line for pbkdo8y. The > closest match is > > pbkdo8r URWBookmanLDemiBold ".167 SlantFont TeXBase1Encoding ReEncodeFont"<8r.enc<ubkd8a.pfb > > which is the same font but with another encoding. I wonder if this > indicates a problem in the way Ubuntu sets up TeX Live? > Hi Jouni, currently Ubuntu still uses Texlive 2009. I also got the same bug (http://article.gmane.org/gmane.comp.python.matplotlib.general/26110) with Texlive 2010 installed directly from tug.org. I think it is unlikely that this is an Ubuntu specific problem, but I don't know for sure whether this file gets generated during the installation or is unmodified from the Texlive distribution. Greetings Alexander 
From: Jouni K. Seppänen <jks@ik...>  20110207 16:17:54

Jouni Seppänen <jks@...> writes: > I filed this in the bug tracker: https://sourceforge.net/tracker/?func=detail&aid=3175113&group_id=80706&atid=560720 I installed TeX Live 2010 on my Mac in order to test this, but mysteriously, the pdftex.map file does not have a line for pbkdo8y. The closest match is pbkdo8r URWBookmanLDemiBold ".167 SlantFont TeXBase1Encoding ReEncodeFont" <8r.enc <ubkd8a.pfb which is the same font but with another encoding. I wonder if this indicates a problem in the way Ubuntu sets up TeX Live?  Jouni K. Seppänen http://www.iki.fi/jks 
From: Carlos Grohmann <carlos.grohmann@gm...>  20110207 15:48:15

Hello all, I'm developing a software for Geology, using wxpython for the GUI. When I want to export any graphics, clicking on the "save" button on the MPL toolbar, I get a dialog to save the file (with a default "image.png" filename) and where I can choose between some file formats. When I select any format from the dropdown list, I expected it to change the extension of the file on the dialog, but it doesn't. So I have to set it up manually. Is this a bug? thanks  Prof. Carlos Henrique Grohmann  Geologist D.Sc. Institute of Geosciences  Univ. of São Paulo, Brazil http://www.igc.usp.br/pessoais/guano http://lattes.cnpq.br/5846052449613692 Linux User #89721 ________________ Can’t stop the signal. 
From: Jouni Seppänen <jks@ik...>  20110207 15:38:19

On Feb 7, 2011, at 17:12 , Michael Anselmi wrote: > On 02/07/2011 10:06 AM, Jouni K. Seppänen wrote: >> Can you send me the pdftex.map file offlist? >> >> Thanks for the bug report, > > Certainly. See attached. Thanks. It looks like there is one font for which two encoding files are specified: pbkdo8y URWBookmanLDemiBold ".167 SlantFont TeXnANSIEncoding ReEncodeFont" <texnansi.enc <8r.enc <ubkd8a.pfb I guess we will need to implement slightly more of a PostScript interpreter inside matplotlib to figure out which file is to be used for reencoding the font, unless this really means some kind of a combination of the two encodings. I'll try to find out what pdftex does with this. In the meantime, I will commit a quick workaround that just disables the fonts we can't handle instead of aborting with an assert. I filed this in the bug tracker: https://sourceforge.net/tracker/?func=detail&aid=3175113&group_id=80706&atid=560720 Jouni 
From: Carlos Grohmann <carlos.grohmann@gm...>  20110207 15:33:32

Hello there Is there support for exporting graphics as EMF files? >From what I've seen it seems to be discontinued. best Carlos  Prof. Carlos Henrique Grohmann  Geologist D.Sc. Institute of Geosciences  Univ. of São Paulo, Brazil http://www.igc.usp.br/pessoais/guano http://lattes.cnpq.br/5846052449613692 Linux User #89721 ________________ Can’t stop the signal. 
From: Jouni K. Seppänen <jks@ik...>  20110207 15:07:27

Michael Anselmi <selmo2000@...> writes: > When trying to save a matplotlib figure as a PDF with `text.usetex = > True' in `matplotlibrc', at some point the `PsfontsMap' function in > `dviread.py' attempts to parse TeX Live 2010's `pdftex.map' file and > fails. Can you send me the pdftex.map file offlist? Thanks for the bug report,  Jouni K. Seppänen http://www.iki.fi/jks 
From: Paul Leopardi <paul.leopardi@ii...>  20110207 11:03:05

Hi all, On Sun, 6 Feb 2011 03:54:48 PM Paul Leopardi wrote: > I'm having trouble using multiple figures with mplot3d. I have appended an entire example script, below. The script incrementally plots 3 curves, one in each of 3 figure windows. The trouble is, once Figure 2 has finished plotting, the curve for Figure 1 disappears and is replaced by the curve for Figure 2, with the axes for Figure 1; once Figure 3 has finished plotting, the curves for Figures 1 and 2 disappear and are replaced by the curve for Figure 3, with the axes for Figure 1 and Figure 2, respectively. The original code was written with incremental plotting because the points took a long time to calculate. Without incremental plotting, the figures stayed blank for a long time. The script below is very similar to my original script, but does not depend on my GluCat library. Best, Paul  # * coding: utf8 * # Imports needed for array calculation and plotting. from numpy import array, floor, random, empty, cos, pi from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt # Constants to control the plotting. C=3 # Number of curves to plot. P=1000 # Number of points overall. R=2 # Scaling constant to use. N=25 # Number of points in a curve segment. M=P/N # Array of points. x=empty((3,P)) rgb=empty((3)) # Plot C curves. for i in xrange(0,C): # Initial point. x0=random.randn(3) # Plot a curve using a random bivector in R_{5,0} # with appropriate scaling. w=random.randn(3) * 2*pi*R/P # Use a new figure for each curve. fig=plt.figure(figsize=(15,12)) # ax=Axes3D(fig) ax = fig.gca(projection='3d') plt.show() # Coordinate limits to determine the colour of the first curve segment. minx=array([x0[0],x0[1],x0[2]]) maxx=minx.copy() # Split the curve into M segments, each with an appropriate colour. for j in range(0,M): # Find N points forming a curve segment by # exponentiating w*k for k from j*N to (j+1)*N1. abot=j*N atop=abot+N for k in xrange(abot,atop): for h in range(0,3): x[h,k]=x0[h]+cos(w[h]*k) # Determine the colour of the curve segment. amid=floor((abot+atop)/2) for h in range(0,3): sign=(1)**(h+1) minx[h]=min(minx[h],min(sign*x[h,abot:atop])) maxx[h]=max(maxx[h],max(sign*x[h,abot:atop])) rgb[h]=max(0.0,min((sign*x[h,amid]minx[h])/(maxx[h]minx[h]),1.0)) # Plot the curve segment using the chosen colour. alow=(abot1 if j>0 else abot) ax.plot(x[0,alow:atop],x[1,alow:atop],x[2,alow:atop],c=rgb.tolist()) plt.draw() plt.show() 