Re: [Matplotlib-users] Event errors in qt5 backend after recent commit
Thomas Caswell tcaswell@... writes: Jorge,I have put in a PR to fix this issue. Can you confirm that it is equivalent to your fix? For aesthetic reasons I chose to pass guiEvent as a kwarg to all of the event related functions. https://github.com/matplotlib/matplotlib/pull/4130 Tom I can confirm this fixes the issue I had. Jorge -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Event errors in qt5 backend after recent commit
Hi, A recent commit against lib/matplotlib/backends/backend_qt5.py [1] causes some errors in code that was working fine before. The error is as follows: --- TypeError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib.py3/lib/matplotlib/backends /backend_qt5.py in enterEvent(self, event) 249 250 def enterEvent(self, event): -- 251 FigureCanvasBase.enter_notify_event(self, event, guiEvent=event) 252 253 def leaveEvent(self, event): TypeError: enter_notify_event() got multiple values for argument 'guiEvent' --- TypeError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib.py3/lib/matplotlib/backends /backend_qt5.py in leaveEvent(self, event) 253 def leaveEvent(self, event): 254 QtWidgets.QApplication.restoreOverrideCursor() -- 255 FigureCanvasBase.leave_notify_event(self, event, guiEvent=event) 256 257 def mousePressEvent(self, event): TypeError: leave_notify_event() got multiple values for argument 'guiEvent' Reverting the changes introduced by the commit in lines 251 and 255 of backend_qt5.py seems to fix the issue, in my particular use case. Regards, Jorge 1. b72e0cd9e63f7cf4bec2908143c62c23666b674a Author: Steven Silvester steven.silves...@ieee.org Date: Sun Feb 15 09:38:21 2015 -0600 Add guiEvent data to Qt backend -- Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Qt4Agg backend possible bug
Hi, I just mentioned this problem with Qt4Agg and python 3.4 in another thread [1], but I decided to post it on a thread of its own, as I suspect it might be a bug in the Qt4Agg backend. I get a NameError exception (see backtrace below) when trying to use key events in matplotlib (master branch rev: e322d5f5bb024bbec44d3ba76da1bc16bf52af9c), python 3.4.1, and pyqt 4.10. Is this a bug? Regards, Jorge backtrace: --- NameError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib/lib/matplotlib/backends/backend_qt4.py in keyReleaseEvent(self=matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg object, event=PyQt4.QtGui.QKeyEvent object) 308 309 def keyReleaseEvent(self, event): -- 310 key = self._get_key(event) key = undefined self._get_key = bound method FigureCanvasQTAgg._get_key of matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg object at 0x7f0393412948 event = PyQt4.QtGui.QKeyEvent object at 0x7f0393507a68 311 if key is None: 312 return /home/jscandal/sw/matplotlib/matplotlib/lib/matplotlib/backends/backend_qt4.py in _get_key(self=matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg object, event=PyQt4.QtGui.QKeyEvent object) 363 return None 364 -- 365 key = unichr(event_key) key = undefined global unichr = undefined global event_key = undefined 366 # qt delivers capitalized letters. fix capitalization 367 # note that capslock is ignored NameError: name 'unichr' is not defined [1] http://thread.gmane.org/gmane.comp.python.matplotlib.general/34361 -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] What backends are working with python 3
Werner wernerfbd@... writes: ... Some time ago I did a bit of work on the wx backend to work with wxPython Phoenix. https://github.com/matplotlib/matplotlib/pull/2803 I haven't had time to look at the last few comments made on that PR. Just the other day someone contacted me off list and he used it on a project of his with a recent build of Phoenix. He noted small refresh issues which corrected itself by resizing the frame, this probably needs a self.Refresh or similar when things get drawn. Builds for Phoenix are here: http://wxpython.org/Phoenix/snapshot-builds/ Recent versions of Phoenix (this is still in development) run on Py 2.7, Py 3.3 and Py 3.4 and use the wheel format and can be installed with the following at least on Windows and Mac as far as I know: pip install -U --pre -f http://wxpython.org/Phoenix/snapshot-builds/ wxPython_Phoenix Werner Thanks for the info, but at this point I'd rather focus on the task I need to solve rather than in the necessary tools. I have just creted a new thread regarding the Qt4Agg backend problem I saw, as that is probably the closest path to have a working setup. If that can't be solved, I have to probably go back to python 2. I upgraded in the first place because it seemed like all the tools were ready, and that's a natural path, but I can live with python 2 for a bit longer... Jorge -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Qt4Agg backend possible bug
Jorge Scandaliaris jorgesmbox-ml@... writes: Hi, I just mentioned this problem with Qt4Agg and python 3.4 in another thread [1], but I decided to post it on a thread of its own, as I suspect it might be a bug in the Qt4Agg backend. I get a NameError exception (see backtrace below) when trying to use key events in matplotlib (master branch rev: e322d5f5bb024bbec44d3ba76da1bc16bf52af9c), python 3.4.1, and pyqt 4.10. Is this a bug? I can confirm that using chr() instead of unichr() fixes this problem. I don't know how ones handle python2 vs python3 in these cases diff --git a/lib/matplotlib/backends/backend_qt4.py b/lib/matplotlib/backends/backend_qt4.py index 70152aa..b0d8233 100644 --- a/lib/matplotlib/backends/backend_qt4.py +++ b/lib/matplotlib/backends/backend_qt4.py @@ -362,7 +362,7 @@ class FigureCanvasQT(QtGui.QWidget, FigureCanvasBase): if event_key MAX_UNICODE: return None -key = unichr(event_key) +key = chr(event_key) # qt delivers capitalized letters. fix capitalization # note that capslock is ignored if 'shift' in mods: jorge -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Qt4Agg backend possible bug
Jorge Scandaliaris jorgesmbox-ml@... writes: Hi, I just mentioned this problem with Qt4Agg and python 3.4 in another thread [1], but I decided to post it on a thread of its own, as I suspect it might be a bug in the Qt4Agg backend. I get a NameError exception (see backtrace below) when trying to use key events in matplotlib (master branch rev: e322d5f5bb024bbec44d3ba76da1bc16bf52af9c), python 3.4.1, and pyqt 4.10. Is this a bug? A trivial fix using six (credits to Werner for suggesting it), also submitted as issue #3117 in the GH tracker: diff --git a/lib/matplotlib/backends/backend_qt4.py b/lib/matplotlib/backends/backend_qt4.py index 70152aa..26486b4 100644 --- a/lib/matplotlib/backends/backend_qt4.py +++ b/lib/matplotlib/backends/backend_qt4.py @@ -362,7 +362,7 @@ class FigureCanvasQT(QtGui.QWidget, FigureCanvasBase): if event_key MAX_UNICODE: return None -key = unichr(event_key) +key = six.unichr(event_key) # qt delivers capitalized letters. fix capitalization # note that capslock is ignored if 'shift' in mods: -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] What backends are working with python 3
Hi, After a while away from matplotlib I am back working on some old code. I decided to switch to python 3 (bad idea?) and I am having problems with backends. I used to use GTKAgg, it worked ok, but it doesn't seem to work with python 3? 1- What are my choices running python 3 and matplotlib from source (I started following the master branch to avoid some bugs in the past, and kept using it since)? I did look in the docs and searched the lists, but I couldn't find a clear answer. 2- Is it discouraged to use matplotlib with python 3? 3- I got the Qt4Agg backend sort of working. It displays my figures ok, but throws exceptions related to some key events I have set up. See below for backtrace. unichr() has disappeared in python 3, but somehow the backend is still using it? Sorry about the post becoming a bit messy. Jorge backtrace: NameError Traceback (most recent call last) /home/jscandal/sw/matplotlib/matplotlib/lib/matplotlib/backends/backend_qt4.py in keyReleaseEvent(self=matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg object, event=PyQt4.QtGui.QKeyEvent object) 308 309 def keyReleaseEvent(self, event): -- 310 key = self._get_key(event) key = undefined self._get_key = bound method FigureCanvasQTAgg._get_key of matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg object at 0x7fc124046af8 event = PyQt4.QtGui.QKeyEvent object at 0x7fc1260cfb88 311 if key is None: 312 return /home/jscandal/sw/matplotlib/matplotlib/lib/matplotlib/backends/backend_qt4.py in _get_key(self=matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg object, event=PyQt4.QtGui.QKeyEvent object) 363 return None 364 -- 365 key = unichr(event_key) key = undefined global unichr = undefined global event_key = undefined 366 # qt delivers capitalized letters. fix capitalization 367 # note that capslock is ignored NameError: name 'unichr' is not defined -- Learn Graph Databases - Download FREE O'Reilly Book Graph Databases is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/NeoTech ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Event handling... again
Hi, Are there any caveats when using events together with IPython that you are aware of? I have some code that I use to interactively explore images that works OK when run from a Python interpreter but does not (see note) when run from IPython. With --pylab option the problems are more evident, but don't disappear completely without it. If I test with some of the examples (i.e. http://matplotlib.sourceforge.net/examples/event_handling/data_browser.html), they work OK in both cases. I can't really post a working example, as my code has grown large, and I am still trying to pin point the root cause. I am posting also at the IPython ml, who knows I'll appreciate any hints and or related problems you might have had, that help me find a solution to this. Jorge Note: Does not run refers to *some* of the event handling defined not working, for example I have defined specific keys that trigger the loading of a new image -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Event handling... again
De: Tony Yu tsy...@gmail.com Just a wild guess: Any chance you're using some GUI-toolkit-specific functionality? Can you elaborate please? I use the GTKAgg backend, and I guess IPython has specific mechanisms (I don't know the details) for keeping both the plot and the interpreter responsive, that's the --pylab option I mention. However, why am I the only asking for help here? Is it that just a few people use events and gtk backend and IPython? My script, although larger and by now more complex, follows the lines of the example I gave earlier... Jorge -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Has nxutils been removed from mpl?
Benjamin Root ben.root@... writes: snip Essentially, you make a Path object using the vertices, and then use its contains_point() method. Ben Root OK, but given that contains_point works with a *single* point at a time, I have to call it for all my points which is a bit more cumbersome, or am I missing something? Jorge -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Has nxutils been removed from mpl?
Hi, I've had an import error with some of my code, specifically with nxutils (I need it for using points_inside_poly). In [1]: import matplotlib.nxutils as nx --- ImportError Traceback (most recent call last) /home/jscandal/ipython-input-1-c56b9729b42e in module() 1 import matplotlib.nxutils as nx ImportError: No module named nxutils I built mpl from trunk and tried also version 1.1 from my distro, but neither seems to have nxutils. I still find the examples in the docs using it, though, so I am confused. Has nxutils been replaced or removed? Thanks Jorge -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Problem building doc in trunk
Hi, I updated mpl to trunk today and I received the followin error when trying to build the documentation: $ python2 make.py html Running Sphinx v1.1.2 Extension error: Could not import extension matplotlib.sphinxext.mathmpl (exception: libpng14.so.14: cannot open shared object file: No such file or directory) Building HTML failed. My distribution uses libpng 1.58, so it's no surprise there's no libpng14. Matplotlib itself detected the libpng version OK and built correctly. Any ideas? Thanks, Jorge -- Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem building doc in trunk
Benjamin Root ben.root@... writes: Strange. Could you include the entire sphinx output as well as any logs that the build produced?Ben Root Well, all the output available was what I posted. I don't see any log file in the build directory. I added the -P option to sphinx-build, the output is below. I'll keep looking here, maybe there is a problem in my setup $ sphinx-build -P -b html -d build/doctrees . build/html Running Sphinx v1.1.2 Exception occurred while building, starting debugger: Traceback (most recent call last): File /usr/lib/python2.7/site-packages/sphinx/cmdline.py, line 188, in main warningiserror, tags) File /usr/lib/python2.7/site-packages/sphinx/application.py, line 114, in __init__ self.setup_extension(extension) File /usr/lib/python2.7/site-packages/sphinx/application.py, line 250, in setup_extension err) ExtensionError: Could not import extension matplotlib.sphinxext.mathmpl (exception: libpng14.so.14: cannot open shared object file: No such file or directory) /usr/lib/python2.7/site-packages/sphinx/application.py(250)setup_extension() - err) (Pdb) q Jorge -- Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem building doc in trunk
Benjamin Root ben.root@... writes: You might need to do a complete rebuild of your mpl trunk. I would guess that you originally built mpl when you had the older version of libpng. When you updated the library, that wouldn't trigger a relink of _png.so whenever you rebuilt the trunk. Wipe out the _png.so file and rebuild.Ben Root OK. it's fixed now. It was probably all my fault, as I changed the way I installed matplotlib. Before I was using the python setupegg.py develop alternative and today I did python setup.py install (blame command line completion). Thanks for your help. Jorge -- Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] key_press_event weirdness
Benjamin Root ben.root@... writes: Which backend and platform are you using?Ben Root I run Arch Linux x86_64 and I am using the GTKAgg backend. I tried both with IPython and python directly (2.7.2). jorges -- 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. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] key_press_event weirdness
John Hunter jdh2358@... writes: I am not seeing this on Linux x86_64 with backend GTKAgg version 2.22.0 on python 2.7. Eg, if I run: python simple_plot.py -dgtkagg and then hover over the axes window (w/o clicking on it but the window has the focus on hover) and press 'g') the grids is toggled. JDH You're right, John, it works here too with the gtkagg backend. I have just noticed that I had different backend options set in matplotlib.conf and matplotlibrc. My initial report refers then to the Qt4Agg backend. BTW, which of matplotlib.conf or matplotlibrc is preferred? jorges -- 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. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] key_press_event weirdness
Hi, I am experiencing something a bit strange with 'key_press_event': The event is not detected unless I click with the mouse on the canvas (The grey area around the axis). I verified this with my own code as well as with some unmodified example ( http://matplotlib.sourceforge.net/examples/event_handling/keypress_demo.html?highlight=key_press_event ). I built mpl from a recent revision (a few days old). Does anyone else experience this? Is this the expected behavior? I believe it was enough to have the figure window focused to get key events before, but I haven't used this feature for some time. Thanks, Jorges -- 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. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Problem with events when interactive is on
Hi, Are events supposed to be used in non-interactive mode? I've been having some weird issues recently (see http://thread.gmane.org/gmane.comp.python.matplotlib.general/26233/focus=26267) which, just by chance, I pinned down to having matplotlib.interactive(True) in my custom ipython's pylab profile. What's the relationship between both things? I couldn't find much about interactive mode in the docs. Maybe this does not add useful info to the problem, but I have also noticed a difference in behavior when running scripts with events handling and interactive mode on from ipython compared to python. The figure(s) stay displayed when using ipython, although custom events don't work (predefined events like pan/zoom still work), while in python the figures are closed once the script finishes. At least I have a way now to run my scripts from within ipython, even if I don't understand what's going on. jorges -- EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with events when interactive is on
Benjamin Root ben.root@... writes: Jorges, iPython can do some special things with matplotlib's interactivity when invoked in certain ways (hence why it was called interactive python). I don't know the particulars of what ipython does, but this does not surprise me. Does everything work as you expect in interactive mode through regular python? Ben Root Well, I don't know what's the expected behavior. If I set interactive to no, then my script works OK in python (and also in ipython, btw). If I set it to yes, though, the figures appear and are closed as soon as the script ends in python, and they stay open but with the custom events non-functional in ipython. That might be the expected behavior, and I started to see this behavior because something changed in ipython (maybe the default was non-interactive before, or something more complicated in the way ipython deals with matplotlib). I searched the documentation about details of how interactive works and/or any caveats, but didn't find much, and hence the question here. For now I'll turn off interactive, as that seems to make my scripts work as they did before. Cheers, jorges -- EditLive Enterprise is the world's most technically advanced content authoring tool. Experience the power of Track Changes, Inline Image Editing and ensure content is compliant with Accessibility Checking. http://p.sf.net/sfu/ephox-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with events and window resizing
Jorge Scandaliaris jorgesmbox-ml@... 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 10 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 -- The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with events and window resizing
Jorge Scandaliaris jorgesmbox-ml@... writes: snip So, I modified the lasso_demo, increasing progressively the number polygons drawn. When I reached 10 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? Well, I am bit desperate. The event problem definitely is related to the number of polygons, circles, ellipses I draw, as well as to using different colors and sizes. I don't even know how to start debugging this. One step forward, though, is that I checked running the script directly from python, instead of within ipython, and it is running as it should. This is with more than 300 thousand ellipses, whereas within ipython it stops working with as little as 2 thousand ellipses. I am running both matplotlib and ipython development trees. Any expert on how events work out there? And mpl-inpython interaction? Thanks for any hints/suggestions. jorges -- 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 list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with events and window resizing
2011/2/8 Benjamin Root ben.r...@ou.edu Hmm, interesting observation. There is very little in mpl that limits your ability to produce elements for plotting (which is probably why you were getting shrugs from the mailing list...). However, ipython has various tricks for caching mpl elements, and can sometimes be a bit excessive in memory usage. This could lead to some issues. Now that you have identified ipython as the culprit, I would suggest taking this to the ipython list and seeing if they can better identify the problem for you. Ben Root Thanks, I was thinking of doing that myself. jorges -- 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 list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with events and window resizing
Jorge Scandaliaris jorgesmbox-ml@... writes: snip The symptoms are that the interaction (keys and mouse clicks) works OK as long as I don't resize the window. Once I do this, the interaction is gone. What happens when the window is resized, that could be related to what I experience. OK, lets see if I can come up with a simple code reproducing this... 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 see if I find anything suspicious. jorges -- The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Problem with events and window resizing
Hi, I have some code that's been working for a long time, but it's behaving strange with current (svn) matplotlib. It's too large to post here, so I will try to come up with a minimal version reproducing the problem. Meanwhile, I wanted to ask if anyone would have a clue of what could be going on. The symptoms are that the interaction (keys and mouse clicks) works OK as long as I don't resize the window. Once I do this, the interaction is gone. What happens when the window is resized, that could be related to what I experience. OK, lets see if I can come up with a simple code reproducing this... jorges -- The modern datacenter depends on network connectivity to access resources and provide services. The best practices for maximizing a physical server's connectivity to a physical network are well understood - see how these rules translate into the virtual world? http://p.sf.net/sfu/oracle-sfdevnlfb ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with show()
Eric Firing efir...@... writes: For this to work, you need to be in matplotlib's interactive mode, either by running ipython with the -pylab option, or by calling plt.ion() before your call to show(). In either of these cases, your example code works for me with ipython from git, mpl from svn, and using drag/drop to enter the code in ipython. I am also on ubuntu 10.10, 64-bit, with gtkagg backend. Eric I was running my example with the -pylab option set in ipython, and adding a call to plt.ion() doesn't change things. I also run gtkagg backend. I guess I have a problem with my installation of matplotlib, unless this is something that changed after mpl-1.0. I will try mpl-svn next and see. Regards, Jorge -- Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Problem with show()
Hi, Today I tried to run some code in my new notebook, but I only got blank figures and high CPU usage as a result. This code did run on my previous laptop. I can reproduce this behavior with the following code at the bottom of this message. The backtrace (also at the bottom this message) points to show() as the cause of the problem. The reason I have show() at the top is because in my code the call to plot() is done within a loop (I reuse the same figure for multiple plots). I still have to check all software versions in detail from the older laptop, but I wanted to ask here in case this was a known problem. I have ipython from git, and matplotlib 1.0, this is a 64 bit OS (Ubuntu 10.10). Matplotlib was installed from source. In the other laptop (Ubuntu 10.4, 32 bits) there's also ipython from git (although an older revision) and matplotlib 1.0 compiled from source. Regards, Jorge example code showing the problem 8- import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt fig, ax = plt.subplots(1,1) plt.show() data = np.random.randn(10) ax.plot(data) fig.canvas.draw() 8- backtrace after hitting CTRL-C 8- In [2]: run doct/intrinsic-images/test_show.py ^C--- KeyboardInterrupt Traceback (most recent call last) /home/jscandal/sw/python/doct/intrinsic-images/test_show.py in module() 5 6 fig, ax = plt.subplots(1,1) 7 plt.show() 8 data = np.random.randn(10) 9 ax.plot(data) /home/jscandal/lib/python2.6/site-packages/matplotlib/backends/backend_gtk.pyc in show(mainloop) 76 if mainloop and gtk.main_level() == 0 and \ 77 len(Gcf.get_all_fig_managers())0: --- 78 gtk.main() 79 80 def new_figure_manager(num, *args, **kwargs): KeyboardInterrupt: -- Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Confused/frustrated w/ waitforbuttonpress
Eric Firing efir...@... writes: Running mpl from svn, with gtkagg backend, on ubuntu, but with ipython 0.11alpha1, I can't reproduce the problem; your example works for me. I suspect the difference is that ipython 0.11 uses a non-threaded interactive mode, while 0.10 uses the threaded mode. Is updating your ipython an option for you? Eric Yes, it is. I'll give it a try. Thanks for the info. Jorge -- This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Confused/frustrated w/ waitforbuttonpress
Eric Firing efir...@... writes: Running mpl from svn, with gtkagg backend, on ubuntu, but with ipython 0.11alpha1, I can't reproduce the problem; your example works for me. I suspect the difference is that ipython 0.11 uses a non-threaded interactive mode, while 0.10 uses the threaded mode. Is updating your ipython an option for you? Eric Well, I just installed ipython 0.11.alpha1.git and my example doesn't work at all (first plot is displayed, but neither mouse nor key presses have any effect). Could it be that I use mpl.1.0 instead of svn? How do you start ipython? I usually do ipython -gthread -pylab, but maybe that is also contributing to the problem. Regards, Jorge -- This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Scatter legend with colored marker
Jae-Joon Lee lee.j.j...@... writes: snip In recent versions, there is a separate parameter : scatterpoints. So check your document. ax.legend(sc, labels, scatterpoints=1) Regards, -JJ Great! It works fine with 1.0.0 Jorge -- This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Confused/frustrated w/ waitforbuttonpress
Hi,
Looking for a way to analyze a set of images I found waitforbuttonpress, which
basically does what I need: allows me to display a few plots/scatter/etc for as
long as I need; then when pressing a key move to the next image and redo all
plots/scatter/etc.
Now my problem is that waitforbuttonpress (or the (mis)use I gave it) forces me
to close the ipython session frequently and start over again. This is at least
inconvenient, and a few times forced me to recalculate things that took some
time (and that I had forgot to save).
I know this might be backend-related. I use GTKAgg, on ubuntu 10.04, mpl-1.0.0
(locally built). Below you'll find a script I created where I see this behavior,
the ipython console's output, and the steps I followed.
Steps followed and description:
1- Run script, click mouse a few times (plot is closed and redrawn), finally
press a key. The plot is closed, and the console returns to be active. This
corresponds to In [1] in the ipython console's output
2- Trying to run anything at the ipython console results in a looong delay and a
message like in In [2] at the console. The console works fine after this,
though, at least with non matplotlib-related stuff
3- Running the script again results in the output shown in In [3]. The script
seems to runs fine, i.e. clicks cause the redrawing of the plot, though pressing
any key (which should break the loop and end the script) will end the script but
won't close the plot windows. The console works mostly ok, the only way to close
the plot window and ipython is by killing the ipython process.
4- In some other cases, I ended up with an unresponsive console that required
killing the ipython process as well.
This test case is not comprehensive of the things I've experienced, but it might
show a possible cause of this behavior.
Regards,
Jorge
Ipython console's output:
In [1]: run doct/intrinsic-images/test_waitforbuttonpress.py
/home/jscandal/lib/python2.6/site-packages/matplotlib/backend_bases.py:2051:
DeprecationWarning: Using default event loop until function specific to this GUI
is implemented
warnings.warn(str,DeprecationWarning)
In [2]: run doct/intrinsic-images/test_waitforbuttonpress.py
Warning: Timeout for mainloop thread exceeded
switching to nonthreaded mode (until mainloop wakes up again)
In [3]: run doct/intrinsic-images/test_waitforbuttonpress.py
---
ValueErrorTraceback (most recent call last)
/usr/lib/pymodules/python2.6/IPython/Shell.pyc in on_timer(self)
847
848 update_tk(self.tk)
-- 849 self.IP.runcode()
850 time.sleep(0.01)
851 return True
/usr/lib/pymodules/python2.6/IPython/Shell.pyc in runcode(self)
455 # code modifies it, we restore our own handling.
456 try:
-- 457 signal(SIGINT,sigint_handler)
458 except SystemError:
459 # This happens under Windows, which seems to have all sorts
ValueError: signal only works in main thread
-
script used in the test:
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
data = np.random.rand(10,2)
while True:
fig, ax = plt.subplots(1,1)
ax.scatter(data.T[0], data.T[1])
plt.show()
if fig.waitforbuttonpress(timeout=-1):
plt.close('all')
break
plt.close('all')
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Re: [Matplotlib-users] Scatter legend with colored marker
Benjamin Root ben.r...@... writes:
snip
Probably not directly, but I hadn't thought about that before. For a set of
scatter points that are colored by values, what should the legend show? In
other words, what does it *mean* for there to be a legend for points that are
colored in a potentially non-uniform manner?So, maybe this is desired
behavior
(but possibly by accident)?
Thanks for your help,
Ben Root
I thought for a moment that legend was using the color of the first point in the
set, but a quick test reveals that no matter what colormap you specify, the
marker color inside the legend is blue. BTW, I think I've found another thing
related to legend() and scatter plots: the 'numpoints' keyword argument to
legend is not respected, as showed in the example pasted below,
Jorge
---
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
data0 = np.random.rand(10,2)
data1 = np.random.rand(10,2)
data2 = np.random.rand(10,2)
data = [data0, data1, data2]
fig, ax = plt.subplots(1,1)
norm = mpl.colors.Normalize(0,len(data))
cmap = mpl.cm.afmhot
sc = []
labels = []
for i,d in enumerate(data):
sc.append(ax.scatter(d.T[0], d.T[1], c=np.ones(d.shape[0])*i,
norm=norm, cmap=cmap))
labels.append('data set ' + str(i))
ax.legend(sc, labels, numpoints=1)
plt.show()
---
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Re: [Matplotlib-users] Scatter legend with colored marker
Jorge Scandaliaris jorgesmbox...@... writes: Hi, I am adding several scatter plots to the same axis, each having a specific color. When I call legend on the axis it correctly picks all scatter plots with their symbols and labels, but it doesn't pick up the color. The example below demonstrates this. What I would like to do is to have in the legend the marker its color matching that of the set it represents. How would I do this? Answering my own question, I found a way to achieve what I wanted by using a proxy artist as suggested in this thread: http://thread.gmane.org/gmane.comp.python.matplotlib.general/20995/focus=20999 Maybe there's a better approach. I certainly would love legend to pick up on the color used in the scatter plot by its own. Jorge -- The Palm PDK Hot Apps Program offers developers who use the Plug-In Development Kit to bring their C/C++ apps to Palm for a share of $1 Million in cash or HP Products. Visit us here for more details: http://p.sf.net/sfu/dev2dev-palm ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Scatter legend with colored marker
Benjamin Root ben.r...@... writes: snip Hmm, this definitely looks like a bug. If I explicitly state what color I want using the color keyword instead of using 'c' and 'norm', then everything works properly. I can't tell if this is a bug or not, but the trick of using a color directly is an even simpler workaround than the one I used. Thanks. Jorge -- The Palm PDK Hot Apps Program offers developers who use the Plug-In Development Kit to bring their C/C++ apps to Palm for a share of $1 Million in cash or HP Products. Visit us here for more details: http://p.sf.net/sfu/dev2dev-palm ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Scatter legend with colored marker
Benjamin Root ben.r...@... writes: snip Hmm, this definitely looks like a bug. Should I fill a bug report about this? Jorge -- The Palm PDK Hot Apps Program offers developers who use the Plug-In Development Kit to bring their C/C++ apps to Palm for a share of $1 Million in cash or HP Products. Visit us here for more details: http://p.sf.net/sfu/dev2dev-palm ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Scatter legend with colored marker
Benjamin Root ben.r...@... writes: snip Yes, please do, and then mention which bug report you filed to this thread. Ben Root Done. Bug number is 3039678 Could this behavior be due to the fact that scatter() accepts sequences for setting the color of each point individually? Maybe I am way off, but who knows... Jorge -- The Palm PDK Hot Apps Program offers developers who use the Plug-In Development Kit to bring their C/C++ apps to Palm for a share of $1 Million in cash or HP Products. Visit us here for more details: http://p.sf.net/sfu/dev2dev-palm ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] LineCollection: multiple ways of setting colors?
Hi, I am working with collection of lines, and when trying to set the color of each individual lines I found that you can either use a 'color' or colors' (note the 's') argument to LineCollection() to accomplish the same, but that there's only a set_color() method you can call. Is this intended? Also, I found (and already used elsewhere) the set_array() method, which complains when passed rgba values but works when passed a vector. I haven't found much on its purpose, except for what appears under matplotlib.cm.ScalarMappable() and the various examples using it. I guessed I am a little confused. Jorges -- ThinkGeek and WIRED's GeekDad team up for the Ultimate GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the lucky parental unit. See the prize list and enter to win: http://p.sf.net/sfu/thinkgeek-promo ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Ways of updating legends
Hi, I am re-using a scatter plot in the same figure for interactively displaying results without ending up with 30 windows open. The legend is relevant, and so it must be also updated. So far the only way I found was to use the set_label() method and then using plt.legend(). Is this the only way to get a legend updated from a label? I am curious, since generally there is the pyplot way and a more OO way of achieving things, but I could't find it this time. The snippet below shows what I am using right now: import numpy as np import scipy as sp import matplotlib as mpl import matplotlib.pyplot as plt data = np.random.randn(3,10) fig = plt.figure() ax = fig.add_subplot(111) s, = ax.plot([]) ax.axis([0,10,-1,1]) ax.legend([s],[''], loc=0) for i in range(data.shape[0]): s.set_data([np.arange(data.shape[1]),data[i]]) s.set_label(str(i)) plt.legend() plt.draw() plt.ginput(timeout=0) -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Ways of updating legends
El 11/02/10 18:28, Jae-Joon Lee escribió: You're already using ax.legend, what kind of OO way do you want? Instead of calling plt.legend, you may do ax.legend([s],[str(i)]) Thanks Jae-Joon. You're right. I tried this before, but I must have done something wrong then, because when I tried the result were new legends stacked upon the old ones, which didn't look nice when the new legend was shorter than previous ones. Or, if you know what you're doing, you can do leg = ax.legend([s],[''], loc=0) and in the for loop, leg.texts[0].set_text(str(i)) This is even nicer. I tried something similar but somehow overlooked the texts[0] part, so it didn't work. I'll have to go back to the docs... Regards, Jorge -- SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Extending patches.Rectangle class
Jae-Joon Lee lee.j.j...@... writes: ... It depends on your mileage. However, a patch in matplotlib usually means a closed path. If you add additional lines, you need to be careful not to mess the filling of the rectangle. I guess it would better to simply use separate artists for additional lines you want. You may create a container artist for patches and lines if you want. Regards, -JJ Thanks, that's sounds like a better way indeed. I'll work in this direction. Jorge -- Join us December 9, 2009 for the Red Hat Virtual Experience, a free event focused on virtualization and cloud computing. Attend in-depth sessions from your desk. Your couch. Anywhere. http://p.sf.net/sfu/redhat-sfdev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Draggable and resizeable rectangle example
Hi, I just had to label a sequence of images with the position and scale of a moving object. To do this I took the nice example from http://matplotlib.sourceforge.net/users/event_handling.html (the one using blitting) and extended to be resizeable. The extension is trivial, but it might be useful to someone. The code is inlined at the end of this message. Jorge # draggable rectangle with the animation blit techniques; see # http://www.scipy.org/Cookbook/Matplotlib/Animations import numpy as np import matplotlib.pyplot as plt class DraggableResizeableRectangle: Draggable and resizeable rectangle with the animation blit techniques. Based on example code at http://matplotlib.sourceforge.net/users/event_handling.html If *allow_resize* is *True* the recatngle can be resized by dragging its lines. *border_tol* specifies how close the pointer has to be to a line for the drag to be considered a resize operation. Dragging is still possible by clicking the interior of the rectangle. *fixed_aspect_ratio* determines if the recatngle keeps its aspect ratio during resize operations. lock = None # only one can be animated at a time def __init__(self, rect, border_tol=.15, allow_resize=True, fixed_aspect_ratio=True): self.rect = rect self.border_tol = border_tol self.allow_resize = allow_resize self.fixed_aspect_ratio = fixed_aspect_ratio self.press = None self.background = None def connect(self): 'connect to all the events we need' self.cidpress = self.rect.figure.canvas.mpl_connect( 'button_press_event', self.on_press) self.cidrelease = self.rect.figure.canvas.mpl_connect( 'button_release_event', self.on_release) self.cidmotion = self.rect.figure.canvas.mpl_connect( 'motion_notify_event', self.on_motion) def on_press(self, event): 'on button press we will see if the mouse is over us and store some data' if event.inaxes != self.rect.axes: return if DraggableRectangle.lock is not None: return contains, attrd = self.rect.contains(event) if not contains: return #print 'event contains', self.rect.xy x0, y0 = self.rect.xy w0, h0 = self.rect.get_width(), self.rect.get_height() aspect_ratio = np.true_divide(w0, h0) self.press = x0, y0, w0, h0, aspect_ratio, event.xdata, event.ydata DraggableRectangle.lock = self # draw everything but the selected rectangle and store the pixel buffer canvas = self.rect.figure.canvas axes = self.rect.axes self.rect.set_animated(True) canvas.draw() self.background = canvas.copy_from_bbox(self.rect.axes.bbox) # now redraw just the rectangle axes.draw_artist(self.rect) # and blit just the redrawn area canvas.blit(axes.bbox) def on_motion(self, event): 'on motion we will move the rect if the mouse is over us' if DraggableRectangle.lock is not self: return if event.inaxes != self.rect.axes: return x0, y0, w0, h0, aspect_ratio, xpress, ypress = self.press self.dx = event.xdata - xpress self.dy = event.ydata - ypress #self.rect.set_x(x0+dx) #self.rect.set_y(y0+dy) self.update_rect() canvas = self.rect.figure.canvas axes = self.rect.axes # restore the background region canvas.restore_region(self.background) # redraw just the current rectangle axes.draw_artist(self.rect) # blit just the redrawn area canvas.blit(axes.bbox) def on_release(self, event): 'on release we reset the press data' if DraggableRectangle.lock is not self: return self.press = None DraggableRectangle.lock = None # turn off the rect animation property and reset the background self.rect.set_animated(False) self.background = None # redraw the full figure self.rect.figure.canvas.draw() def disconnect(self): 'disconnect all the stored connection ids' self.rect.figure.canvas.mpl_disconnect(self.cidpress) self.rect.figure.canvas.mpl_disconnect(self.cidrelease) self.rect.figure.canvas.mpl_disconnect(self.cidmotion) def update_rect(self): x0, y0, w0, h0, aspect_ratio, xpress, ypress = self.press dx, dy = self.dx, self.dy bt = self.border_tol fixed_ar = self.fixed_aspect_ratio if (not self.allow_resize or (abs(x0+np.true_divide(w0,2)-xpress)np.true_divide(w0,2)-bt*w0 and abs(y0+np.true_divide(h0,2)-ypress)np.true_divide(h0,2)-bt*h0)): self.rect.set_x(x0+dx) self.rect.set_y(y0+dy) elif abs(x0-xpress)bt*w0: self.rect.set_x(x0+dx) self.rect.set_width(w0-dx) if fixed_ar:
[Matplotlib-users] Extending patches.Rectangle class
Hi, How difficult would be to extend the Rectangle class so besides its permimeter it draws lines showing halfs or thirds of the width and height? I use rectangle to mark the locations of moving objects in sequences of images, and such lines would make the job easier. Thanks, Jorge -- Join us December 9, 2009 for the Red Hat Virtual Experience, a free event focused on virtualization and cloud computing. Attend in-depth sessions from your desk. Your couch. Anywhere. http://p.sf.net/sfu/redhat-sfdev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Bug in matplotlib.patches' contains() method?
Michael Droettboom md...@... writes: It shouldn't always return True -- it should return a tuple of type (bool, dict). The first element is whether it's inside, and the second is a dictionary of indices of subobjects (used only for Collections). Unfortunately, this tuple always evaluates to True. Have you tried changing your contains test from .contains() to .contains()[0]? If that's not what's happening for you, can you send a self-contained example that illustrates this bug? (I noticed the looking_glass.py example has this bug -- I'll fix that.) Mike You're right. I keep making these dumb mistakes... This time it was made worst cause the looking_glass.py example did the same. Jorge -- Join us December 9, 2009 for the Red Hat Virtual Experience, a free event focused on virtualization and cloud computing. Attend in-depth sessions from your desk. Your couch. Anywhere. http://p.sf.net/sfu/redhat-sfdev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Customize/disable keyboard shortcuts
Hi, I have a strong preference to working with the keyboard instead of the mouse. Today I was working on a script to label a sequence of images (mark position and scale of a moving object). The default keyboard shortcuts are getting in my way, many keys are already used and moreover they are spread all over the keyboard. Looking at the doc, I could't find an easy way to customize or completely disable them. If someone can suggest a (not too coonvoluted) solution, I'd love to hear it. Cheers, Jorge -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Bug in matplotlib.patches' contains() method?
Hi, I was trying to find out when a button_press_event happened inside a patch (tried Circle and Rectangle) using the contains(mouseevent) method, but it always seem to return True. I got the inspiration from the looking_glass.py example, which also doesn't work as (Ithink) it should. I know Ican do this the hard way, i.e. checking with event.xdata event.ydata, but I was really happy there was already a pre-defined method for doing so. Cheers, Jorge -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Error in doc?
Hi, I think I found a bug, but I am not sure if it's in the doc or in a method name. In the doc, there is reference to a method *suptitle* in class mpl.figure.Figure. The name sounds strange, but the method exists and works. The example given, though, makes reference to *subtitle*, so either the example or the method name are wrong. Here's the link to the doc: http://matplotlib.sourceforge.net/api/figure_api.html?highlight=legend#matplotlib.figure.Figure.suptitle jorge -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Questions about GUIs
Hi, I am trying to use matplotlib to visually explore certain different representation of images. I have the core functionality done. This allows to explore one image that appears on two subplots w/ the possibility to highlight regions on either subplot and see the corresponding one on the other. What I have left to do is to provide some mean to select the image one wants to explore. I tried to follow some advice given on this list, but it seems gui dialogs (file selection in this case) don't get along well with the thread tricks done by ipython to maintain interactivity while using matplotlib (ipython started w/ -gthread or -pylab option). If I start ipython without options, the dialogs do respond, but then I loose the ipython shell. Am I trying to do something out of normal with matplotlib? I would appreciate any advice or pointers that would allow me overcome these limitations. Jorge -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Possible problem with mpl.axes .Axes.add_collection()
Jorge Scandaliaris jorgesmbox...@... writes: jorgesmbox...@... writes: Hi, I have a strange problem. It seems to me it is related to mpl.axes.Axes.add_collection(), but I am too lost to be sure. Well, I haven't solved this problem yet, but it seems that the add_collection() method is not the one at fault. It looks like the lasso widget I am using to selct the regions is returning for the fourth region the same vertices than for the third one. Well, definitely I was wrong at my initial guess. It turns out the problem was a race condition in the LassoManager class handling the Lasso widget. Putting a few print statements here and there revealed the problem: I had two callback functions competing against each other, one called by the lasso widget and the other connected to mouse release event. One of them was setting a variable used by the other. My guess is I (mis)used an old version of the lasso_demo, because when I re visited the example section yesterday, I realized the lasso_demo had no callback connected to the mouse release event. I write this as a reference, hoping it can help someboby in the future. Jorge -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Open file dialog?
Alan G Isaac alan.is...@... writes: snip That's all, as long as you don't mind destroying the Window manually. (Otherwise, you need just a couple more lines.) Thanks, I'll give this a try. Jorge -- OpenSolaris 2009.06 is a cutting edge operating system for enterprises looking to deploy the next generation of Solaris that includes the latest innovations from Sun and the OpenSource community. Download a copy and enjoy capabilities such as Networking, Storage and Virtualization. Go to: http://p.sf.net/sfu/opensolaris-get ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
