Re: [matplotlib-devel] os x egg fubar?
John Hunter wrote: > I think the src egg approach for os x is hopeless because too many > people are having problems with architecture on png and zlib > dependencies, and we don't have a lot of control over this because > they are getting these dependencies from a variety of providers. Maybe it's hopeless, but one solution is to try to standardize, in the MacPython community, on using William Kyngesburye's UnixImageIO and Freetype Frameworks for the dependencies: http://www.kyngchaos.com/wiki/doku.php?id=software:frameworks They are Universal, Binary, and packaged as nice frameworks and also with traditional unix-style layouts for building against. > I > think we need a binary installer, eg using bdist_mpkg, with the > freetype, png and zlib dependencies built in, as we have on windows. That's good route too, though it always feels a bit silly to have a different copy of libpng inside MPL, and PIL,and wxPython, and Why the heck Apple doesn't provide these really common libs is still beyond me! -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- SF.Net email is Sponsored by MIX09, March 18-20, 2009 in Las Vegas, Nevada. The future of the web can't happen without you. Join us at MIX09 to help pave the way to the Next Web now. Learn more and register at http://ad.doubleclick.net/clk;208669438;13503038;i?http://2009.visitmix.com/ ___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
[matplotlib-devel] Using the Agg renderer by itself
Hi Folks, I've got some drawing to do (for a web app). I don't need all the MPL machinery, but I do need a high quality, fast, renderer. Other options: - The python bindings to GD seem to not really being maintained - PyCairo is a pain to install, and not fast for Python (doesn't know about numpy arrays of points, for instance) - Kiva appears to be quite enmeshed with ETS, and thus a bit of trick to install (at least without EPD or PythonXY or something) So I thought I'd give MPL's AGG wrappers a try. I've managed to get things working, but I do have a couple questions: 1) are there docs somewhere? What I've found is very sparse, and doc strings are minimal -- though I've got the source, so only so much or a complaint. 2) It looks like the AGG renderers take floats for almost everything -- makes sense, with anti-aliasing and sub-pixel rendering. But is it float32 or float64 internally? It seems either will work, but I'm going for maximum performance, so I'd like to use the native format. Testing drawing a polygon, I'm a bit confused about GraphicsContext vs the renderer. If I do: gc = GraphicsContextBase() transform = Affine2D() # default unit transform ## draw the polygon: ## create a path for a polygon: points = np.array(((10,10),(10,190),(150,100),(290,10),(10,10)),np.float64) p = Path(points) gc.set_linewidth(4) gc.set_alpha(0.75) fill_color = (0.0, 1.0, 0.0) line_color = (1.0, 0.0, 0.0) #gc._rgb = line_color gc.set_foreground(line_color) Canvas.draw_path(gc, p, transform, fill_color) I get a green polygon with a red border, like I'd expect. However: Why is the outline color set in the GraphicsContext, but the fill color passed in to the draw_path call? Or am I doing that wrong? Thanks for input, -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d ___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
Re: [matplotlib-devel] Using the Agg renderer by itself
On 11/23/11 9:52 AM, Chris.Barker wrote: > I've got some drawing to do (for a web app). I don't need all the MPL > machinery, but I do need a high quality, fast, renderer. One more question. I see: def draw_markers(self, *kl, **kw): # for filtering to work with rastrization, methods needs to be wrapped. # maybe there is better way to do it. return self._renderer.draw_markers(*kl, **kw) What do I pass in to this function? Thanks, -Chris > Other options: > >- The python bindings to GD seem to not really being maintained > >- PyCairo is a pain to install, and not fast for Python (doesn't know > about numpy arrays of points, for instance) > >- Kiva appears to be quite enmeshed with ETS, and thus a bit of trick > to install (at least without EPD or PythonXY or something) > > > So I thought I'd give MPL's AGG wrappers a try. I've managed to get > things working, but I do have a couple questions: > > 1) are there docs somewhere? What I've found is very sparse, and doc > strings are minimal -- though I've got the source, so only so much or a > complaint. > > 2) It looks like the AGG renderers take floats for almost everything -- > makes sense, with anti-aliasing and sub-pixel rendering. But is it > float32 or float64 internally? It seems either will work, but I'm going > for maximum performance, so I'd like to use the native format. > > > Testing drawing a polygon, I'm a bit confused about GraphicsContext vs > the renderer. If I do: > > gc = GraphicsContextBase() > transform = Affine2D() # default unit transform > > ## draw the polygon: > ## create a path for a polygon: > points = np.array(((10,10),(10,190),(150,100),(290,10),(10,10)),np.float64) > > p = Path(points) > > gc.set_linewidth(4) > gc.set_alpha(0.75) > > fill_color = (0.0, 1.0, 0.0) > line_color = (1.0, 0.0, 0.0) > > #gc._rgb = line_color > gc.set_foreground(line_color) > > Canvas.draw_path(gc, p, transform, fill_color) > > I get a green polygon with a red border, like I'd expect. However: > > Why is the outline color set in the GraphicsContext, but the fill color > passed in to the draw_path call? Or am I doing that wrong? > > > Thanks for input, > > -Chris > > > > > > > > > > > > > -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d ___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
Re: [matplotlib-devel] Using the Agg renderer by itself
On 11/23/11 10:38 AM, Benjamin Root wrote: > On Wednesday, November 23, 2011, Chris.Barker <mailto:chris.bar...@noaa.gov>> wrote: > > Hi Folks, > > > > I've got some drawing to do (for a web app). I don't need all the MPL > > machinery, but I do need a high quality, fast, renderer. > There is an HTML5 backend, supposedly. Don't know how well documented > it is, though. Hmm -- coll idea -- I'll look into that at some point. However, as I don't need the MPL machinerey, but just the renderer, I'm not sure it would buy me much. And I'm not sure I can: a) count on html 5 on all browsers we need to support or b) get the drawing performance I want if I have to push all the data to the client to draw. But something to keep an eye on, thanks. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d ___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
