When running the initial lasso demo I found that only one lasso event was 
allowed and other canvas interaction events (e.g. zooming) would not work 
properly after the lasso event.  As such I came up with my own solution to the 
problem by modifying the example source.  The primary addition was a button 
release event call and a boolean to keep track whether the lasso was the last 
event to lock the widget from interaction.  Anyway, I hope it can help someone 
else out.

Cheers,

Brian

####################################
"""
Show how to use a lasso to select a set of points and get the indices
of the selected points.  A callback is used to change the color of the
selected points

This is currently a proof-of-concept implementation (though it is
usable as is).  There will be some refinement of the API and the
inside polygon detection routine.
"""
from matplotlib.widgets import Lasso
import matplotlib.mlab
from matplotlib.nxutils import points_inside_poly
from matplotlib.colors import colorConverter
from matplotlib.collections import RegularPolyCollection

from matplotlib.pyplot import figure, show
from numpy import nonzero
from numpy.random import rand

class Datum:
    colorin = colorConverter.to_rgba('red')
    colorout = colorConverter.to_rgba('green')
    def __init__(self, x, y, include=False):
        self.x = x
        self.y = y
        if include: self.color = self.colorin
        else: self.color = self.colorout


class LassoManager:
    def __init__(self, ax, data):
        self.axes = ax
        self.canvas = ax.figure.canvas
        self.data = data
        #the lasso lock boolean is used to tell whether another
        #widget event has priority
        self.lassoLock = False

        self.Nxy = len(data)

        facecolors = [d.color for d in data]
        self.xys = [(d.x, d.y) for d in data]
        fig = ax.figure
        self.collection = RegularPolyCollection(
            fig.dpi, 6, sizes=(100,),
            facecolors=facecolors,
            offsets = self.xys,
            transOffset = ax.transData)

        ax.add_collection(self.collection)

        self.cid = self.canvas.mpl_connect('button_press_event', self.onpress)
        self.cidRelease = self.canvas.mpl_connect('button_release_event', 
self.onrelease)

        self.ind = None

    def callback(self, verts):
        facecolors = self.collection.get_facecolors()
        ind = nonzero(points_inside_poly(self.xys, verts))[0]
        for i in range(self.Nxy):
            if i in ind:
                facecolors[i] = Datum.colorin
            else:
                facecolors[i] = Datum.colorout

        self.canvas.draw_idle()
        self.canvas.widgetlock.release(self.lasso)
        #del self.lasso
        self.ind = ind

    def onpress(self, event):
        if self.canvas.widgetlock.locked(): return
        if event.inaxes is None: return
        self.lasso = Lasso(event.inaxes, (event.xdata, event.ydata), 
self.callback)
        # acquire a lock on the widget drawing
        self.canvas.widgetlock(self.lasso)
        # establish boolean that can be used to release the widgetlock
        self.lassoLock = True

    def onrelease(self, event):
        'on release we reset the press data'
        # test whether the widgetlock was initiated by the lasso
        if self.lassoLock:
            self.canvas.widgetlock.release(self.lasso)
            self.lassoLock = False
        print self.ind


if __name__ == '__main__':

    data = [Datum(*xy) for xy in rand(100, 2)]

    fig = figure()
    ax = fig.add_subplot(111, xlim=(0,1), ylim=(0,1), autoscale_on=False)
    lman = LassoManager(ax, data)

    show()



      
"""
Show how to use a lasso to select a set of points and get the indices
of the selected points.  A callback is used to change the color of the
selected points

This is currently a proof-of-concept implementation (though it is
usable as is).  There will be some refinement of the API and the
inside polygon detection routine.
"""
from matplotlib.widgets import Lasso
import matplotlib.mlab
from matplotlib.nxutils import points_inside_poly
from matplotlib.colors import colorConverter
from matplotlib.collections import RegularPolyCollection

from matplotlib.pyplot import figure, show
from numpy import nonzero
from numpy.random import rand

class Datum:
    colorin = colorConverter.to_rgba('red')
    colorout = colorConverter.to_rgba('green')
    def __init__(self, x, y, include=False):
        self.x = x
        self.y = y
        if include: self.color = self.colorin
        else: self.color = self.colorout


class LassoManager:
    def __init__(self, ax, data):
        self.axes = ax
        self.canvas = ax.figure.canvas
        self.data = data
        #the lasso lock boolean is used to tell whether another
        #widget event has priority
        self.lassoLock = False

        self.Nxy = len(data)

        facecolors = [d.color for d in data]
        self.xys = [(d.x, d.y) for d in data]
        fig = ax.figure
        self.collection = RegularPolyCollection(
            fig.dpi, 6, sizes=(100,),
            facecolors=facecolors,
            offsets = self.xys,
            transOffset = ax.transData)

        ax.add_collection(self.collection)

        self.cid = self.canvas.mpl_connect('button_press_event', self.onpress)
        self.cidRelease = self.canvas.mpl_connect('button_release_event', 
self.onrelease)

        self.ind = None

    def callback(self, verts):
        facecolors = self.collection.get_facecolors()
        ind = nonzero(points_inside_poly(self.xys, verts))[0]
        for i in range(self.Nxy):
            if i in ind:
                facecolors[i] = Datum.colorin
            else:
                facecolors[i] = Datum.colorout

        self.canvas.draw_idle()
        self.canvas.widgetlock.release(self.lasso)
        #del self.lasso
        self.ind = ind

    def onpress(self, event):
        if self.canvas.widgetlock.locked(): return
        if event.inaxes is None: return
        self.lasso = Lasso(event.inaxes, (event.xdata, event.ydata), 
self.callback)
        # acquire a lock on the widget drawing
        self.canvas.widgetlock(self.lasso)
        # establish boolean that can be used to release the widgetlock
        self.lassoLock = True

    def onrelease(self, event):
        'on release we reset the press data'
        # test whether the widgetlock was initiated by the lasso
        if self.lassoLock:
            self.canvas.widgetlock.release(self.lasso)
            self.lassoLock = False
        print self.ind


if __name__ == '__main__':

    data = [Datum(*xy) for xy in rand(100, 2)]

    fig = figure()
    ax = fig.add_subplot(111, xlim=(0,1), ylim=(0,1), autoscale_on=False)
    lman = LassoManager(ax, data)

    show()
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