Yep, looks like the trunk has fixed the contourf() issue. Unfortunately there also seems to be some new incompatibility with the Basemap toolkit, even after re-installing Basemap from source. I get:
AttributeError: Axes.frame was removed in favor of Axes.spines when I attempt to call: drawmapboundary(fill_color="white") Error output below: /Users/zane/svn/googlecode/satstress/satstress/nsrhist.pyc in makefigs(dbar_max, maps, hists, examples, stats, stress, tpw, lindensity, all, save_format) 774 if maps is True: #{{{2 775 print("Plotting Mapped Lineaments, fit to NSR stresses") --> 776 FitMap(nsrlins, nbins=9, titlestr="global lins, fit to NSR", dbar_max=dbar_max, outfile=figure_outfiles['FitMap_Mapped']) 777 print("Plotting Pre-TPW Lineaments, fit to NSR stresses") 778 FitMap(tpwlins, nbins=9, titlestr="pre-TPW lins, fit to NSR", dbar_max=dbar_max, outfile=figure_outfiles['FitMap_PreTPW']) /Users/zane/svn/googlecode/satstress/satstress/nsrhist.pyc in FitMap(lins, titlestr, lin_cm, nbins, stresscentric, outfile, dbar_max, showbad, derotate) 1005 linfitmap.drawmeridians(range(llcrnrlon,urcrnrlon+1,gridspace), labels=[1,0,0,1]) 1006 linfitmap.drawparallels(range(llcrnrlat,urcrnrlat+1,gridspace), labels=[1,0,0,1]) -> 1007 linfitmap.drawmapboundary(fill_color="white") 1008 map_ax = fig.axes[0] 1009 /Library/Python/2.5/site-packages/mpl_toolkits/basemap/__init__.pyc in drawmapboundary(self, color, linewidth, fill_color, zorder, ax) 1263 else: # all other projections are rectangular. 1264 # use axesPatch for fill_color, frame for border line props. -> 1265 ax.frame.set_linewidth(linewidth) 1266 if self.projection not in ['geos','ortho']: 1267 if fill_color is not None: /Library/Python/2.5/site-packages/matplotlib/axes.pyc in get_frame(self) 984 985 def get_frame(self): --> 986 raise AttributeError('Axes.frame was removed in favor of Axes.spines') 987 frame = property(get_frame) 988 AttributeError: Axes.frame was removed in favor of Axes.spines In [3]: import mpl_toolkits.basemap In [4]: mpl_toolkits.basemap.__version__ Out[4]: '0.99.4' On Tue, Jun 16, 2009 at 7:29 AM, Michiel de Hoon<mjldeh...@yahoo.com> wrote: > > I can't reproduce this error with the current code in SVN trunk, but I > remember seeing this bug a while ago. So I'm guessing that this bug has > already been fixed in SVN. Zane, could you try installing the latest > matplotlib from trunk and see if you still see this bug? > > --Michiel > > --- On Mon, 6/15/09, Michael Droettboom <md...@stsci.edu> wrote: > >> From: Michael Droettboom <md...@stsci.edu> >> Subject: Re: [Matplotlib-users] New contourf() drawing polygon boundaries >> for some reason? >> To: z...@amateurearthling.org, "matplotlib-users" >> <matplotlib-users@lists.sourceforge.net>, "Michiel de Hoon" >> <mjldeh...@yahoo.com> >> Date: Monday, June 15, 2009, 6:08 PM >> >> >> >> >> >> >> Thanks for the thorough investigation. >> >> >> >> Michiel: can you look into why the macosx backend is >> drawing the >> strokes around the polygons? Probably as simple as >> inadvertently >> ignoring an argument. >> >> >> >> I'll look into the path simplification-related issues. >> >> >> >> Cheers, >> >> Mike >> >> >> >> On 06/15/2009 03:29 PM, Zane Selvans wrote: >> >> Yes. By far the worst of these behaviors is the >> macosx GUI output. I >> could see the other ones just being the way it's >> supposed to look. >> Here's a summary: >> >> backend: macosx; path.simplify: (false|true) GUI => >> black borders to >> drawn polygons (incl. contour region crossing lines, very >> bad) >> http://zaneselvans.org/dropbox/contourf_backendmacosx.png >> >> backend: agg (PNG output) path.simplify: (true|false) => >> somewhat >> visible borders between polygons (esp. adjacent to >> contrasting colors) >> http://zaneselvans.org/dropbox/contourf_simplifytrue.png >> http://zaneselvans.org/dropbox/contourf_simplifyfalse.png >> >> backend: pdf (PDF output) path.simplify: true => >> reliably visible >> irregularities (but probably this is somewhat expected with >> SVG >> output) >> http://zaneselvans.org/dropbox/contourf_simplifytrue.pdf >> >> backend: pdf (PDF output) path.simplify: false => >> infinitessimally >> thin lines of background color visible between contour >> filled regions. >> http://zaneselvans.org/dropbox/contourf_simplifyfalse.pdf >> >> And here's what I used to generate them: >> >> def broken_contourf(): >> """ >> Simple demonstration that filled contour plots are >> broken. >> >> Looking at the PDF and PNG output using the macosx >> backend, everything is >> fine. It's only the GUI output which is for some >> reason outlining the >> polygons in the filled contours. >> >> """ >> from numpy.random import uniform, seed >> from matplotlib.mlab import griddata >> import matplotlib.pyplot as plt >> import numpy as np >> # make up data. >> #npts = int(raw_input('enter # of random points to >> plot:')) >> seed(-1) >> npts = 200 >> x = uniform(-2,2,npts) >> y = uniform(-2,2,npts) >> z = x*np.exp(-x**2-y**2) >> # define grid. >> xi = np.linspace(-2.1,2.1,100) >> yi = np.linspace(-2.1,2.1,100) >> # grid the data. >> zi = griddata(x,y,z,xi,yi) >> # contour the gridded data, plotting dots at the >> nonuniform data points. >> CS = plt.contourf(xi,yi,zi,15,cmap=plt.cm.jet) >> # plot data points. >> plt.title('griddata() and contourf() test') >> plt.savefig('broken_contourf.pdf') >> plt.savefig('broken_contourf.png') >> >> On Fri, Jun 12, 2009 at 3:02 PM, Zane Selvans<z...@ideotrope.org> >> wrote: >> >> >> I switched back to using the macosx backend, and >> it turns out that the >> thin black lines surrounding the polygons (including >> crossing the >> filled contour regions from one closed contour to another) >> only get >> displayed in the GUI. PDF and PNG output look fine. >> >> Zane >> >> On Fri, Jun 12, 2009 at 2:27 PM, Zane Selvans<z...@ideotrope.org> >> wrote: >> >> >> If I set path.simplify: False, the shape of the >> gaps between the >> filled polygons does change. Instead of being irregular, >> it becomes >> an infinitessimally thin gap of uniform width, allowing the >> (in this >> case white) background to show through. >> >> In both of these cases (path.simplify: True|False), the PNG >> version of >> the same figures also show representations of these gaps >> which are >> identical to those which appear in the PDF (though >> obviously >> pixelated), so I don't think it's something >> that's wrong in the vector >> graphics code per se. >> >> Zane >> >> On Fri, Jun 12, 2009 at 11:46 AM, Michael Droettboom<md...@stsci.edu> >> wrote: >> >> >> Shot in the dark here, but what if you set the >> rcParam "path.simplify" to >> False? There have been recent changes to that code. >> >> Also, since the Agg backend doesn't have an associated >> GUI, you need to use >> the savefig() command and provide a filename, rather than >> using show(). >> >> Cheers, >> Mike >> >> Zane Selvans wrote: >> >> >> Um, yeah. So my response got bounced >> because of the attachment. Take 2: >> >> For some reason my script bombed when I switched to the Agg >> backend, >> trying to display to the screen (it said Figure has no >> method show()) >> >> So I output the plot as both a PDF and a PNG (still having >> backend: >> agg in my rcfile) and in both of those cases, irregular >> gaps are >> visible between the polygons making up the filled contours. >> This >> wasn't the case with my previously installed setup. >> It looks as if >> for some reason the vertices of the filled polygons are >> being >> calculated differently from different sides of the same >> contour, >> leading to overlap in some places, and gaps in others. >> You can download >> the PDF version (in which the exact geometry is much >> clearer). >> from: >> >> http://zaneselvans.org/dropbox/LinDensity_Grid.pdf >> >> Zane >> >> On Fri, Jun 12, 2009 at 5:51 AM, Michael Droettboom<md...@stsci.edu> >> wrote: >> >> >> >> So you see this behavior if you switch to >> the Agg backend? That's the >> backend used to generate the images in the gallery. If >> there's a >> difference >> there, that would seem to suggest some tweaking of the >> macosx backend >> (which >> is still relatively new) is in order. >> >> Mike >> >> Zane Selvans wrote: >> >> >> >> I just installed the latest SciPy >> Superpack in order to get access to >> the scipy.spatial.KDTree class, and discovered that for >> some reason >> now when I use contourf() lines get drawn at the boundaries >> between >> the filled contours. Additionally, there is always a >> single vertical >> line crossing from each contour boundary to the next. >> I'm guessing >> that these are the edges of the filled polygons which are >> getting >> drawn. This behavior doesn't seem to be consistent >> with the >> contourf() documentation and when I run code in >> griddata_demo.py it >> doesn't come out looking like the picture in the >> documentation/example >> gallery... >> >> Is anyone else seeing this behavior? Is there a keyword I >> can use to >> force the edges of the polygons not to get drawn? >> >> This is on Mac OS X 10.5.7, with >> scipy.__version__ = 0.8.0.dev5635 >> matplotlib.__version__ = 0.98.6svn >> numpy.__version__=1.4.0.dev6728 >> >> As installed by superpack_2009.03.28.sh >> from http://macinscience.org/?page_id=6 >> >> using: >> backend: macosx >> >> Cheers, >> Zane >> >> >> >> >> >> -- >> Michael Droettboom >> Science Software Branch >> Operations and Engineering Division >> Space Telescope Science Institute >> Operated by AURA for NASA >> >> >> >> >> >> >> >> >> >> >> -- >> Michael Droettboom >> Science Software Branch >> Operations and Engineering Division >> Space Telescope Science Institute >> Operated by AURA for NASA >> >> >> >> >> >> >> -- >> Zane A. Selvans >> Amateur Earthling >> http://zaneselvans.org >> +1 303 815 6866 >> >> >> >> >> >> -- >> Zane A. Selvans >> Amateur Earthling >> http://zaneselvans.org >> +1 303 815 6866 >> >> >> >> >> >> >> >> >> >> >> >> >> > > > > -- Zane A. Selvans Amateur Earthling http://zaneselvans.org +1 303 815 6866 ------------------------------------------------------------------------------ Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users