[Matplotlib-users] How do I use a grid geometry manager in a matplotlib tk backend
Hi matplotlib list, I am a resonably experienced python and matplotlib user, when it comes to make cmd line programs for batch processing, but I have never tried to make python GUI before. I am working on a prototype product, where I want the typical matplotlib plotting window, but extended with controls, such that I can control certain parameters determining what is being plotted. I have looked at the embedding_in_tk.py example http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_tk.html which uses the pack manager. That example works like a charm for me, and it seems like i should be able to extend it for my needs I have also managed to add controls to that using the Tkinter module and pack(), i.e., the tedious to maintain pack manager However, I would really like to use a grid geometry manager instead as I find it much easier to manage. I have therefore tried to modify the example to use grid instead by moifying the two pack lines in the example ... #canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) canvas.get_tk_widget().grid(row=0) ... #canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) canvas._tkcanvas.grid(row=1) ... However, when I try to run that code, I just get an empty form I have tried other options in the grid method, with no success. I am sure i must be missing something obvious? Admittedly, these backend things are close to voodoo for me, so i am just trying to get a prrof of concepts, but i would not claim that i really undertsnad what is going on. I have tried to look for useful documentation for doing these kinds of things, but I have had only limited success. Directions/links to relevant material would be appreciated as well. Thanks, Kim -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How do I use a grid geometry manager in a matplotlib tk backend
On 3/11/2010 8:35 AM, Kim Hansen wrote: I would really like to use a grid geometry manager instead http://effbot.org/tkinterbook/grid.htm hth, Alan Isaac -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How do I use a grid geometry manager in a matplotlib tk backend
2010/3/11 Kim Hansen slaun...@gmail.com: canvas.get_tk_widget().grid(row=0) canvas._tkcanvas.grid(row=1) I cannot reproduce your problem. Can you maybe provide a self-contained script to reproduce the behaviour? Here is mine: import Tkinter import matplotlib tk = Tkinter.Tk() import matplotlib.figure fig = matplotlib.figure.Figure() fig.set_size_inches((3, 3)) import matplotlib.backends.backend_tkagg canvas = matplotlib.backends.backend_tkagg.FigureCanvasTkAgg(fig, master = tk) canvas.show() canvas.get_tk_widget().grid(row = 0, column = 0) # or .grid(row = 0) tk.columnconfigure(0, weight = 1) tk.rowconfigure(0, weight = 1) canvas.get_tk_widget().grid_forget() canvas.get_tk_widget().grid(row = 0, column = 0, sticky = Tkinter.NSEW) Btw, do you know some nice way to change the xy data of a plot? At the moment, I'm always clearing the figure and drawing again. I also don't like the black frame around the figure, with my self-coded backend using similar code as backend_tkagg.py, I don't observe such a black frame. Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
