def contains(self, mouseevent):
'''
a hit test based on what is used in
line2D
'''
from matplotlib.lines import segment_hits
if self.figure is None:
pixels = self.pickradius
else:
pixels = self.figure.dpi / 72. * self.pickradius
olderrflags = np.seterr(all='ignore')
transformed_path = self._get_transformed_path()
path, affine = transformed_path.get_transformed_path_and_affine()
path = affine.transform_path(path)
xy = path.vertices
xt = xy[:, 0]
yt = xy[:, 1]
try:
# If line, return the nearby segment(s)
ind = segment_hits(mouseevent.x, mouseevent.y, xt, yt, pixels)
finally:
np.seterr(**olderrflags)
return len(ind) > 0, dict(ind=ind)
def contains(self, mouseevent):
'''
a hit test based on what is used in
line2D
'''
from matplotlib.lines import segment_hits
if self.figure is None:
pixels = self.pickradius
else:
pixels = self.figure.dpi / 72. * self.pickradius
olderrflags = np.seterr(all='ignore')
transformed_path = self._get_transformed_path()
path, affine = transformed_path.get_transformed_path_and_affine()
path = affine.transform_path(path)
xy = path.vertices
xt = xy[:, 0]
yt = xy[:, 1]
try:
# If line, return the nearby segment(s)
ind = segment_hits(mouseevent.x, mouseevent.y, xt, yt, pixels)
finally:
np.seterr(**olderrflags)
return len(ind) > 0, dict(ind=ind)
def contains(self, mouseevent):
"""
Test whether the mouse event occurred in the collection.
Returns T/F, dict(ind=itemlist), where every item in itemlist contains the event.
"""
import matplotlib.lines as ML
if callable(self._contains): return self._contains(self,mouseevent)
# TODO: add offset processing; adjusting the mouse for each offset
# will be somewhat cheaper than adjusting the segments.
if self._offsets != None:
raise NotImplementedError, "LineCollection does not yet support picking with offsets"
mx,my = mouseevent.x,mouseevent.y
transform = self.get_transform()
ind = []
for this in xrange(len(self._segments)):
xy = transform.seq_xy_tups(self._segments[this])
this_ind = ML.segment_hits(mx,my,xy[:,0],xy[:,1],self.pickradius)
ind.extend([(this,k) for k in this_ind])
return len(ind)>0,dict(ind=ind)
def contains(self, mouseevent):
"""
Test whether the mouse event occurred in the collection.
Returns T/F, dict(ind=itemlist), where every item in itemlist contains the event.
"""
import matplotlib.lines as ML
if callable(self._contains): return self._contains(self,mouseevent)
# TODO: add offset processing; adjusting the mouse for each offset
# will be somewhat cheaper than adjusting the segments.
if self._offsets != None:
raise NotImplementedError, "LineCollection does not yet support picking with offsets"
mx,my = mouseevent.x,mouseevent.y
transform = self.get_transform()
ind = []
for this in xrange(len(self._segments)):
xy = transform.seq_xy_tups(self._segments[this])
this_ind = ML.segment_hits(mx,my,xy[:,0],xy[:,1],self.pickradius)
ind.extend([(this,k) for k in this_ind])
return len(ind)>0,dict(ind=ind)
def test_segment_hits():
"""Test a problematic case."""
cx, cy = 553, 902
x, y = np.array([553., 553.]), np.array([95., 947.])
radius = 6.94
assert_array_equal(mlines.segment_hits(cx, cy, x, y, radius), [0])