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embedding_in_wx4.py from matplotlib at Krugle


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#!/usr/bin/env python
"""
An example of how to use wx or wxagg in an application with a custom
toolbar
"""

from matplotlib.numerix import arange, sin, pi

import matplotlib

# uncomment the following to use wx rather than wxagg
#matplotlib.use('WX')
#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas

# comment out the following to use wx rather than wxagg
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg

from matplotlib.backends.backend_wx import _load_bitmap
from matplotlib.figure import Figure
from matplotlib.numerix.mlab import rand

from wx import *

class MyNavigationToolbar(NavigationToolbar2WxAgg):
    """
    Extend the default wx toolbar with your own event handlers
    """
    ON_CUSTOM = NewId()
    def __init__(self, canvas, cankill):
        NavigationToolbar2WxAgg.__init__(self, canvas)

        # for simplicity I'm going to reuse a bitmap from wx, you'll
        # probably want to add your own.
        self.AddSimpleTool(self.ON_CUSTOM, _load_bitmap('stock_left.xpm'),
                           'Click me', 'Activate custom contol')
        EVT_TOOL(self, self.ON_CUSTOM, self._on_custom)

    def _on_custom(self, evt):
        # add some text to the axes in a random location in axes (0,1)
        # coords) with a random color

        # get the axes
        ax = self.canvas.figure.axes[0]

        # generate a random location can color
        x,y = tuple(rand(2))
        rgb = tuple(rand(3))

        # add the text and draw
        ax.text(x, y, 'You clicked me',
                transform=ax.transAxes,
                color=rgb)
        self.canvas.draw()
        evt.Skip()


class CanvasFrame(Frame):

    def __init__(self):
        Frame.__init__(self,None,-1,
                         'CanvasFrame',size=(550,350))

        self.SetBackgroundColour(NamedColor("WHITE"))

        self.figure = Figure(figsize=(5,4), dpi=100)
        self.axes = self.figure.add_subplot(111)
        t = arange(0.0,3.0,0.01)
        s = sin(2*pi*t)

        self.axes.plot(t,s)

        self.canvas = FigureCanvas(self, -1, self.figure)

        self.sizer = BoxSizer(VERTICAL)
        self.sizer.Add(self.canvas, 1, TOP | LEFT | EXPAND)
        # Capture the paint message
        EVT_PAINT(self, self.OnPaint)

        self.toolbar = MyNavigationToolbar(self.canvas, True)
        self.toolbar.Realize()
        if Platform == '__WXMAC__':
            # Mac platform (OSX 10.3, MacPython) does not seem to cope with
            # having a toolbar in a sizer. This work-around gets the buttons
            # back, but at the expense of having the toolbar at the top
            self.SetToolBar(self.toolbar)
        else:
            # On Windows platform, default window size is incorrect, so set
            # toolbar width to figure width.
            tw, th = self.toolbar.GetSizeTuple()
            fw, fh = self.canvas.GetSizeTuple()
            # By adding toolbar in sizer, we are able to put it at the bottom
            # of the frame - so appearance is closer to GTK version.
            # As noted above, doesn't work for Mac.
            self.toolbar.SetSize(Size(fw, th))
            self.sizer.Add(self.toolbar, 0, LEFT | EXPAND)

        # update the axes menu on the toolbar
        self.toolbar.update()
        self.SetSizer(self.sizer)
        self.Fit()


    def OnPaint(self, event):
        self.canvas.draw()
        event.Skip()

class App(App):

    def OnInit(self):
        'Create the main window and insert the custom frame'
        frame = CanvasFrame()
        frame.Show(True)

        return True

app = App(0)
app.MainLoop()




See more files for this project here

matplotlib

Matplotlib is a pure python plotting library with the goal of making\r\npublication quality plots using a syntax familiar to matlab users. \r\nThe library uses Numeric for handling large\r\ndata sets and supports a variety of output backends

Project homepage: http://sourceforge.net/projects/matplotlib
Programming language(s): C,C++,Python
License: other

  data/
  units/
  widgets/
  README
  README.wx
  __init__.py
  accented_text.py
  agg_buffer_to_array.py
  agg_oo.py
  agg_resize.py
  agg_test.py
  alignment_test.py
  anim.py
  anim_tk.py
  animation_blit.py
  animation_blit_fltk.py
  animation_blit_qt.py
  animation_blit_qt4.py
  animation_blit_tk.py
  animation_blit_wx.py
  annotation_demo.py
  anscombe.py
  arctest.py
  arrow_demo.py
  axes_demo.py
  axes_props.py
  axhspan_demo.py
  axis_equal_demo.py
  backend_driver.py
  bar_stacked.py
  barchart_demo.py
  barcode_demo.py
  barh_demo.py
  boxplot_demo.py
  break.py
  broken_barh.py
  clippath_test.py
  clippedline.py
  collections_demo.py
  color_by_yvalue.py
  color_demo.py
  colorbar_only.py
  colours.py
  contour_demo.py
  contour_image.py
  contourf_demo.py
  coords_demo.py
  coords_report.py
  csd_demo.py
  cursor_demo.py
  custom_figure_class.py
  custom_ticker1.py
  customize_rc.py
  dannys_example.py
  dash_control.py
  dashpointlabel.py
  dashtick.py
  data_browser.py
  data_helper.py
  date_demo1.py
  date_demo2.py
  date_demo_convert.py
  date_demo_rrule.py
  date_index_formatter.py
  dynamic_collection.py
  dynamic_demo.py
  dynamic_demo_wx.py
  dynamic_image_gtkagg.py
  dynamic_image_wxagg.py
  dynamic_image_wxagg2.py
  ellipse_demo.py
  ellipse_rotated.py
  embedding_in_gtk.py
  embedding_in_gtk2.py
  embedding_in_gtk3.py
  embedding_in_qt.py
  embedding_in_qt4.py
  embedding_in_tk.py
  embedding_in_tk2.py
  embedding_in_wx.py
  embedding_in_wx2.py
  embedding_in_wx3.py
  embedding_in_wx4.py
  errorbar_demo.py
  errorbar_limits.py
  figimage_demo.py
  figlegend_demo.py
  figtext.py
  fill_between.py
  fill_between_posneg.py
  fill_demo.py
  fill_demo2.py
  fill_spiral.py
  finance_demo.py
  font_indexing.py
  font_table_ttf.py
  fonts_demo.py
  fonts_demo_kw.py
  ftface_props.py
  ganged_plots.py
  gdtest.py