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Python Open Source » Chart Report » Matplotlib 
Matplotlib » matplotlib 0.99.1.1 » doc » mpl_examples » user_interfaces » pylab_with_gtk.py
"""
An example of how to use pylab to manage your figure windows, but
modify the GUI by accessing the underlying gtk widgets
"""
import matplotlib
matplotlib.use('GTKAgg')
from pylab import get_current_fig_manager,subplot,plot,legend,connect,show

ax = subplot(111)
plot([1,2,3], 'ro-', label='easy as 1 2 3')
plot([1,4,9], 'gs--', label='easy as 1 2 3 squared')
legend()


manager = get_current_fig_manager()
# you can also access the window or vbox attributes this way
toolbar = manager.toolbar

# now let's add a button to the toolbar
import gtk
next = 8; #where to insert this in the mpl toolbar
button = gtk.Button('Click me')
button.show()

def clicked(button):
    print 'hi mom'
button.connect('clicked', clicked)

toolitem = gtk.ToolItem()
toolitem.show()
toolitem.set_tooltip(
    toolbar.tooltips,
    'Click me for fun and profit')

toolitem.add(button)
toolbar.insert(toolitem, next); next +=1

# now let's add a widget to the vbox
label = gtk.Label()
label.set_markup('Drag mouse over axes for position')
label.show()
vbox = manager.vbox
vbox.pack_start(label, False, False)
vbox.reorder_child(manager.toolbar, -1)

def update(event):
    if event.xdata is None:
        label.set_markup('Drag mouse over axes for position')
    else:
        label.set_markup('<span color="#ef0000">x,y=(%f, %f)</span>'%(event.xdata, event.ydata))

connect('motion_notify_event', update)

show()
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