[Pythoncard-users] Added MatplotLib widget to Pythoncard - and it works perfectly!!!

[John H. <ec...@ya...>]

Glad to announce that I got it working!!!
 --
John Henry


>
>From: John Henry <ec...@ya...>
>To: pyt...@li...
>Sent: Tue, April 12, 2011 12:59:22 PM
>Subject: Fw: Adding MatplotLib widget to Pythoncard - and ALMOST works 
perfectly
>
>
>Oops.  The image was too big.  Reattach.
> --
>John Henry
>
>
>
>>
>>----- Forwarded Message ----
>>From: John Henry <ec...@ya...>
>>To: pyt...@li...
>>Sent: Tue, April 12, 2011 12:46:40 PM
>>Subject: Adding MatplotLib widget to  Pythoncard - and ALMOST works perfectly
>>
>>
>>I'm *this* close to a working Matplotlib widget in Pythoncard (see screen shot 
>>attached).  Everything works except somehow all of my mouse events are gone, 
>>plus the canvas is not getting the the size and paint events.  I wish somebody 
>>more knowledgeable in Pythoncard can help (via private email if you like).
>>
>>
>>From the user perspective, the code looks like below (with some non-essential 
>>details omitted) - look how simple it is (compare with the original code 
>>at http://eli.thegreenplace.net/files/prog_code/wx_mpl_bars.py.txt
>>
>>
>>
>>
>>##############
>>"""
>>This demo demonstrates how to embed a matplotlib (mpl) plot 
>>into a Pythoncard GUI application,  including:
>>
>>
>>* Using the navigation  toolbar
>>* Adding data to the plot
>>* Dynamically modifying the plot's properties
>>* Processing mpl events
>>* Saving the plot to a file from a menu
>>
>>
>>The main goal is to serve as a basis for developing rich Pythoncard GUI
>>applications featuring mpl plots (using the mpl OO API).
>>
>>
>>Eli Bendersky (el...@gm...)
>>License: this code is in the public domain
>>Last modified: 30.07.2008
>>"""
>>import os
>>import pprint
>>import random
>>import wx
>>
>>
>># The recommended way to use wx with mpl is with the WXAgg
>># backend. 
>>#
>>import matplotlib
>>matplotlib.use('WXAgg')
>>from matplotlib.figure import Figure
>>from matplotlib.backends.backend_wxagg import \
>>    NavigationToolbar2WxAgg as  NavigationToolbar
>>
>>
>>from PythonCard import model, dialog
>>
>>
>>from pc_mpl_bars_rsrc import rsrc as BarsFrame_rsrc
>>
>>
>>class BarsFrame(model.MDIParentBackground):
>>def __init__(self, parent, rsrc):
>># Create the mpl Figure and FigCanvas objects. 
>># 5x4 inches, 100 dots-per-inch
>>#
>>model.MDIParentBackground.__init__(self, parent, aBgRsrc=rsrc)
>>def on_initialize(self, event):
>>self.components.slider_width.SetTickFreq(10, 1)
>>
>>
>># Since we have only one plot, we can use add_axes 
>># instead of add_subplot, but then the subplot
>># configuration tool in the navigation toolbar wouldn't
>># work.
>>#
>>figure=self.components.canvas.fig
>>self.axes = figure.add_subplot(111)
>># Create the navigation toolbar, tied to the canvas
>>#
>>self.toolbar = NavigationToolbar(self.components.canvas)
>>self.sizer(event)
>>self.data = [5, 6, 9, 14]
>>self.components.textbox.text=(' '.join(map(str,  self.data)))
>>
>>
>>self.draw_figure()
>>
>>
>>def sizer(self, event):
>><...sizer code skipped ...>
>>
>>
>>def draw_figure(self):
>>""" Redraws the figure
>>"""
>>str = self.components.textbox.text
>>self.data = map(int, str.split())
>>x = range(len(self.data))
>>
>>
>># clear the axes and redraw the plot anew
>>#
>>self.axes.clear()
>>self.axes.grid(self.components.cb_grid.checked)
>>self.axes.bar(
>>left=x, 
>>height=self.data, 
>>width=self.components.slider_width.GetValue() / 100.0, 
>>align='center', 
>>alpha=0.44,
>>picker=5)
>>self.components.canvas.draw()
>>def on_exit(self, event):
>>self.Destroy()
>>
>>
>>if __name__ == '__main__':
>>app =  model.Application(BarsFrame,  rsrc=BarsFrame_rsrc)
>>app.MainLoop()
>>
>> --
>>John Henry