pts = []
for row in reader:
try:
pt = LatLng(float(row[0]),float(row[1]))
pts.append(pt)
except AssertionError:
print row
#except IndexError:
# print row
pts.sort(LatLngCompare)
grouper = Grouper()
for (i,pt) in enumerate(pts):
grouper.append(pt)
optimizer = GroupSwapOptimizer(grouper)
optimizer.process()
#Output generation
dom = Kml()
group_style = xml.dom.minidom.parseString("""
<Style id="group">
<IconStyle>
<color>ff00ff00</color>
<scale>1.1</scale>
<Icon>
# Convert stop that are not belonged to any cluster to LatLng
pts = []
for id in stops:
s = stops[id]
pt = LatLng()
pt.lat = s.latlng.lat
pt.lng = s.latlng.lon
pt.set_data(s)
pts.append(pt)
print "%d of stops are not listed in any cluster" % len(stops)
pts.sort(LatLngCompare)
for pt in pts:
clusterer.append(pt)
saveClusterList = []
saveShapeList = []
newShapeCount = 0
for g in clusterer.getGroups():
cluster = g.get_data()
if cluster == None:
cluster = Cluster() # Create a new cluster entry
g.set_data(cluster)
cluster.members = []
for pt in g.pts: # Found newly added stop
cluster.members.append(pt.get_data().key())
