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Sourcecode: matplotlib version File versions


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 pylab import figure, show, nx

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

        self.Nxy = len(data)

        self.facecolors = [d.color for d in data]
        self.xys = [(d.x, d.y) for d in data]

        self.collection = RegularPolyCollection(
            fig.dpi, 6, sizes=(100,),
            offsets = self.xys,
            transOffset = ax.transData)


        self.cid = self.canvas.mpl_connect('button_press_event', self.onpress)
    def callback(self, verts):
        #print 'all done', verts
        #ind = matplotlib.mlab._inside_poly_deprecated(self.xys, verts)
        ind = nx.nonzero(points_inside_poly(self.xys, verts))
        for i in range(self.Nxy):
            if i in ind:
                self.facecolors[i] = Datum.colorin
                self.facecolors[i] = Datum.colorout             

        del self.lasso
    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

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

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

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