def test_map(self): usMap = Map() usMap.plotPoints([-105.16, -117.16, -77.00], [40.02, 32.73, 38.55], color=GeneralMethods.getRandomColor()) usMap.plotPoints([-114.21, -88.10], [48.25, 17.29], color=GeneralMethods.getRandomColor()) plt.show()
def plot_graph_clusters_on_world_map(graph, s=0, lw=0, alpha=0.6, bkcolor='#CFCFCF', *args, **kwargs): no_of_clusters, tuples_of_location_and_cluster_id = clusterUsingAffinityPropagation( graph) map_from_location_to_cluster_id = dict(tuples_of_location_and_cluster_id) map_from_cluster_id_to_cluster_color = dict([ (i, GeneralMethods.getRandomColor()) for i in range(no_of_clusters) ]) points, colors = zip(*map( lambda location: (getLocationFromLid(location.replace( '_', ' ')), map_from_cluster_id_to_cluster_color[ map_from_location_to_cluster_id[location]]), graph.nodes())) _, m = plotPointsOnWorldMap(points, c=colors, s=s, lw=lw, returnBaseMapObject=True, *args, **kwargs) for u, v, data in graph.edges(data=True): if map_from_location_to_cluster_id[ u] == map_from_location_to_cluster_id[v]: color, u, v, w = map_from_cluster_id_to_cluster_color[ map_from_location_to_cluster_id[u]], getLocationFromLid( u.replace('_', ' ')), getLocationFromLid( v.replace('_', ' ')), data['w'] m.drawgreatcircle(u[1], u[0], v[1], v[0], color=color, alpha=alpha) return (no_of_clusters, tuples_of_location_and_cluster_id)
def plot_graph_clusters_on_world_map(graph, s=0, lw=0, alpha=0.6, bkcolor='#CFCFCF', *args, **kwargs): from graphs import clusterUsingAffinityPropagation no_of_clusters, tuples_of_location_and_cluster_id = clusterUsingAffinityPropagation(graph) map_from_location_to_cluster_id = dict(tuples_of_location_and_cluster_id) map_from_cluster_id_to_cluster_color = dict([(i, GeneralMethods.getRandomColor()) for i in range(no_of_clusters)]) points, colors = zip(*map(lambda location: (getLocationFromLid(location.replace('_', ' ')), map_from_cluster_id_to_cluster_color[map_from_location_to_cluster_id[location]]), graph.nodes())) _, m = plotPointsOnWorldMap(points, c=colors, s=s, lw=lw, returnBaseMapObject=True, *args, **kwargs) for u, v, data in graph.edges(data=True): if map_from_location_to_cluster_id[u]==map_from_location_to_cluster_id[v]: color, u, v, w = map_from_cluster_id_to_cluster_color[map_from_location_to_cluster_id[u]], getLocationFromLid(u.replace('_', ' ')), getLocationFromLid(v.replace('_', ' ')), data['w'] m.drawgreatcircle(u[1], u[0], v[1], v[0], color=color, alpha=alpha) return (no_of_clusters, tuples_of_location_and_cluster_id)
def plotNorm(maxYValue, mu, sigma, color=None, **kwargs): s = np.random.normal(mu, sigma, 1000) count, bins = np.histogram(s, 1000, normed=True) if not color: color = GeneralMethods.getRandomColor() plt.fill_between( bins, ((1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(bins - mu) ** 2 / (2 * sigma ** 2))) / 4) * maxYValue, linewidth=1, color=color, alpha=0.3, ) plt.plot( bins, ((1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(bins - mu) ** 2 / (2 * sigma ** 2))) / 4) * maxYValue, linewidth=3, color=color, **kwargs )
def plotNorm(maxYValue, mu, sigma, color=None, **kwargs): s = np.random.normal(mu, sigma, 1000) count, bins = np.histogram(s, 1000, normed=True) if not color: color = GeneralMethods.getRandomColor() plt.fill_between( bins, ((1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(bins - mu)**2 / (2 * sigma**2))) / 4) * maxYValue, linewidth=1, color=color, alpha=0.3) plt.plot(bins, ((1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-(bins - mu)**2 / (2 * sigma**2))) / 4) * maxYValue, linewidth=3, color=color, **kwargs)
def drawKMLsForPoints(pointsIterator, outputKMLFile, color=None): kml = KML() if not color: color = GeneralMethods.getRandomColor() kml.addLocationPoints(pointsIterator, color=color) kml.write(outputKMLFile)
def addLocationPoints(self, points, color=None): if not color: color = GeneralMethods.getRandomColor() for point in (list(reversed(point)) for point in points): pnt = self.kml.newpoint(coords=[point]) pnt.iconstyle.icon.href = 'http://maps.google.com/mapfiles/kml/shapes/shaded_dot.png' pnt.iconstyle.color = 'ff' + color[1:]
def test_map(self): usMap = Map() usMap.plotPoints([-105.16, -117.16, -77.00], [40.02, 32.73, 38.55], color=GeneralMethods.getRandomColor()) usMap.plotPoints([-114.21, -88.10], [48.25, 17.29], color=GeneralMethods.getRandomColor()) plt.show()
def drawKMLsForPoints(pointsIterator, outputKMLFile, color=None): kml = KML() if not color: color = GeneralMethods.getRandomColor() kml.addLocationPoints(pointsIterator, color=color) kml.write(outputKMLFile)
def addLocationPoints(self, points, color=None): if not color: color=GeneralMethods.getRandomColor() for point in (list(reversed(point)) for point in points): pnt = self.kml.newpoint(coords=[point]) pnt.iconstyle.icon.href = 'http://maps.google.com/mapfiles/kml/shapes/shaded_dot.png' pnt.iconstyle.color = 'ff'+color[1:]