def makeMap(data):
'''
1. use Kmeans cluster lat and lon of each rsvp event
2. plot them on a world map
3. take a screenshot of the map and save
'''
geoplotlib.add_layer(KMeansLayer(data))
geoplotlib.set_smoothing(True)
geoplotlib.set_bbox(geoplotlib.utils.BoundingBox.WORLD)
geoplotlib.savefig('clustermap')
return None
k_means.fit(np.vstack([x, y]).T)
labels = k_means.labels_
self.cmap = create_set_cmap(set(labels), 'hsv')
for l in set(labels):
self.painter.set_color(self.cmap[l])
self.painter.convexhull(x[labels == l], y[labels == l])
self.painter.points(x[labels == l], y[labels == l], 2)
def draw(self, proj, mouse_x, mouse_y, ui_manager):
ui_manager.info(
'Use left and right to increase/decrease the number of clusters. k = %d'
% self.k)
self.painter.batch_draw()
def on_key_release(self, key, modifiers):
if key == pyglet.window.key.LEFT:
self.k = max(2, self.k - 1)
return True
elif key == pyglet.window.key.RIGHT:
self.k = self.k + 1
return True
return False
data = geoplotlib.utils.read_csv('data/bus.csv')
geoplotlib.add_layer(KMeansLayer(data))
geoplotlib.set_smoothing(True)
geoplotlib.set_bbox(geoplotlib.utils.BoundingBox.DK)
geoplotlib.show()
while len(queue) > 0:
qt = queue.pop()
if qt.can_split(x, y):
queue.extend(qt.split())
else:
done.append(qt)
print((len(queue), len(done)))
if self.cmap is not None:
for qt in done:
area = (qt.right - qt.left) * (qt.top - qt.bottom)
self.painter.set_color(
self.cmap.to_color(1 + area, 1 + maxarea, 'log'))
self.painter.rect(qt.left, qt.top, qt.right, qt.bottom)
else:
for qt in done:
self.painter.linestrip([qt.left, qt.right, qt.right, qt.left],
[qt.top, qt.top, qt.bottom, qt.bottom],
closed=True)
def draw(self, proj, mouse_x, mouse_y, ui_manager):
self.painter.batch_draw()
data = geoplotlib.utils.read_csv('data/bus.csv')
geoplotlib.add_layer(QuadsLayer(data, cmap=None))
geoplotlib.set_smoothing(False)
geoplotlib.set_bbox(geoplotlib.utils.BoundingBox.DK)
geoplotlib.show()
"""
Example of rendering shapefiles
"""
from geoplotlib.utils import BoundingBox
import geoplotlib
geoplotlib.shapefiles('data/dk_kommune/dk_kommune',
f_tooltip=lambda attr: attr['STEDNAVN'],
color=[0,0,255])
geoplotlib.set_smoothing(True)
geoplotlib.set_bbox(BoundingBox.DK)
geoplotlib.show()
def draw_geo():
data = geoplotlib.utils.read_csv('../data/des.csv')
geoplotlib.add_layer(KMeansLayer(data))
geoplotlib.set_smoothing(True)
geoplotlib.show()
done = []
while len(queue) > 0:
qt = queue.pop()
if qt.can_split(x, y):
queue.extend(qt.split())
else:
done.append(qt)
print len(queue), len(done)
if self.cmap is not None:
for qt in done:
area = (qt.right - qt.left) * (qt.top - qt.bottom)
self.painter.set_color(self.cmap.to_color(1 + area, 1 + maxarea, 'log'))
self.painter.rect(qt.left, qt.top, qt.right, qt.bottom)
else:
for qt in done:
self.painter.linestrip([qt.left, qt.right, qt.right, qt.left],
[qt.top, qt.top, qt.bottom, qt.bottom], closed=True)
def draw(self, proj, mouse_x, mouse_y, ui_manager):
self.painter.batch_draw()
data = geoplotlib.utils.read_csv('data/bus.csv')
geoplotlib.add_layer(QuadsLayer(data, cmap=None))
geoplotlib.set_smoothing(False)
geoplotlib.set_bbox(geoplotlib.utils.BoundingBox.DK)
geoplotlib.show()
