Re: [Matplotlib-users] Multiple plots, interactivity, wx etc
bump .. On Thu, Jul 31, 2008 at 11:02 AM, signal seeker [EMAIL PROTECTED]wrote: Hi, I have couple of applications in which I have to generate multiple plots interactively using the wx backend and wanted to know the best approach to take for this. I did search the list for previous discussions on this subject, but the approach to take is still unfortunately not 100% clear to me. The first use case is that I want to be able to show plots as soon as they are ready. The script sits in a loop pulling out data from different sources, does some transformations and then plots it. Now I understand the recommended way to call show() when all the plots are ready. But since there are many many plots and it take some time to generate one, I would like to show the plot window as soon as it is ready and furthermore I want all the plot windows to be alive so that I can go back and forth through them. I tried using pylab.ion(), but then after the script exits, all the windows disappear along with it. The other use case is more like ipython. I have a program to connect to a database and the user interacts with it using queries. I would like to add visualization support to it The user should be able to plot the data as needed and keep all the plot windows alive. How can I do this using mpl and wx backend? Do you recommend using threading or forking plots as separate processes? Thanks, Suchindra - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Multiple plots, interactivity, wx etc
Hello, How can I do this using mpl and wx backend? Do you recommend using threading or forking plots as separate processes ? None of the above is necessary. Add this to imports: import matplotlib matplotlib.use('WXAgg') import matplotlib.cm as cm from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg from matplotlib.figure import Figure from pylab import * Just instanciate some wx.panel with inside self.sizer = wx.BoxSizer(wx.VERTICAL) fig = Figure() self.figure = FigureCanvasWxAgg(self.widget, -1, fig) self.sizer.Add(self.figure, 1, wx.EXPAND) x1 = array(var1['data']) y1 = array(var1['data']) axes = fig.add_subplot(111)#211) axes.yaxis.tick_left() axes.plot(x1,y1,alpha=1) And should be OK. Personnaly I use wx.aui to manage multpile wx.panel inside an App, but it depends what you want to do with your app. Laurent - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Multiple plots, interactivity, wx etc
Hi, I have couple of applications in which I have to generate multiple plots interactively using the wx backend and wanted to know the best approach to take for this. I did search the list for previous discussions on this subject, but the approach to take is still unfortunately not 100% clear to me. The first use case is that I want to be able to show plots as soon as they are ready. The script sits in a loop pulling out data from different sources, does some transformations and then plots it. Now I understand the recommended way to call show() when all the plots are ready. But since there are many many plots and it take some time to generate one, I would like to show the plot window as soon as it is ready and furthermore I want all the plot windows to be alive so that I can go back and forth through them. I tried using pylab.ion(), but then after the script exits, all the windows disappear along with it. The other use case is more like ipython. I have a program to connect to a database and the user interacts with it using queries. I would like to add visualization support to it The user should be able to plot the data as needed and keep all the plot windows alive. How can I do this using mpl and wx backend? Do you recommend using threading or forking plots as separate processes? Thanks, Suchindra - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100url=/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users