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			83 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			83 lines
		
	
	
		
			3.2 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
| #!/usr/bin/env python3
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| # -*- coding: utf-8 -*-
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| 
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| '''
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| gnpy.tools.plots
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| ================
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| 
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| Graphs and plots usable form a CLI application
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| '''
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| 
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| from matplotlib.pyplot import show, axis, figure, title, text
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| from networkx import draw_networkx_nodes, draw_networkx_edges, draw_networkx_labels
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| from gnpy.core.elements import Transceiver
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| 
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| 
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| def plot_baseline(network):
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|     edges = set(network.edges())
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|     pos = {n: (n.lng, n.lat) for n in network.nodes()}
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|     labels = {n: n.location.city for n in network.nodes() if isinstance(n, Transceiver)}
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|     city_labels = set(labels.values())
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|     for n in network.nodes():
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|         if n.location.city and n.location.city not in city_labels:
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|             labels[n] = n.location.city
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|             city_labels.add(n.location.city)
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|     label_pos = pos
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| 
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|     fig = figure()
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|     kwargs = {'figure': fig, 'pos': pos}
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|     plot = draw_networkx_nodes(network, nodelist=network.nodes(), node_color='#ababab', **kwargs)
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|     draw_networkx_edges(network, edgelist=edges, edge_color='#ababab', **kwargs)
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|     draw_networkx_labels(network, labels=labels, font_size=14, **{**kwargs, 'pos': label_pos})
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|     axis('off')
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|     show()
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| 
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| 
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| def plot_results(network, path, source, destination, infos):
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|     path_edges = set(zip(path[:-1], path[1:]))
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|     edges = set(network.edges()) - path_edges
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|     pos = {n: (n.lng, n.lat) for n in network.nodes()}
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|     nodes = {}
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|     for k, (x, y) in pos.items():
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|         nodes.setdefault((round(x, 1), round(y, 1)), []).append(k)
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|     labels = {n: n.location.city for n in network.nodes() if isinstance(n, Transceiver)}
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|     city_labels = set(labels.values())
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|     for n in network.nodes():
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|         if n.location.city and n.location.city not in city_labels:
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|             labels[n] = n.location.city
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|             city_labels.add(n.location.city)
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|     label_pos = pos
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| 
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|     fig = figure()
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|     kwargs = {'figure': fig, 'pos': pos}
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|     all_nodes = [n for n in network.nodes() if n not in path]
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|     plot = draw_networkx_nodes(network, nodelist=all_nodes, node_color='#ababab', node_size=50, **kwargs)
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|     draw_networkx_nodes(network, nodelist=path, node_color='#ff0000', node_size=55, **kwargs)
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|     draw_networkx_edges(network, edgelist=edges, edge_color='#ababab', **kwargs)
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|     draw_networkx_edges(network, edgelist=path_edges, edge_color='#ff0000', **kwargs)
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|     draw_networkx_labels(network, labels=labels, font_size=14, **{**kwargs, 'pos': label_pos})
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|     title(f'Propagating from {source.loc.city} to {destination.loc.city}')
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|     axis('off')
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| 
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|     heading = 'Spectral Information\n\n'
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|     textbox = text(0.85, 0.20, heading, fontsize=14, fontname='Ubuntu Mono',
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|                    verticalalignment='top', transform=fig.axes[0].transAxes,
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|                    bbox={'boxstyle': 'round', 'facecolor': 'wheat', 'alpha': 0.5})
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| 
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|     msgs = {(x, y): heading + '\n\n'.join(str(n) for n in ns if n in path)
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|             for (x, y), ns in nodes.items()}
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| 
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|     def hover(event):
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|         if event.xdata is None or event.ydata is None:
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|             return
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|         if fig.contains(event):
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|             x, y = round(event.xdata, 1), round(event.ydata, 1)
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|             if (x, y) in msgs:
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|                 textbox.set_text(msgs[x, y])
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|             else:
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|                 textbox.set_text(heading)
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|             fig.canvas.draw_idle()
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| 
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|     fig.canvas.mpl_connect('motion_notify_event', hover)
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|     show()
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