Files
oopt-gnpy/gnpy/tools/plots.py
Jonas Mårtensson 1d657d6819 Return spectral info from propagate function
There are two propagation functions in request.py, propagate and
propagate2. The propagate2 function saves and returns spectral infos
from before and after every element of the path. In most cases only the
final spectral info after propagation is needed (there is currently
nothing in the code using anything more). On the other hand, the
propagate function just returns the path which is unnecessary since that
is modified in place. This patch proposes to instead return the final
spectral info from the propagate function.

Since propagate2 is now redundant, it can be removed.

Change-Id: I3a0f7310a7d5f9c93dc5f257e051c7d45e20c6fe
Signed-off-by: Jonas Mårtensson <jonas.martensson@ri.se>
2020-06-25 19:41:03 +02:00

83 lines
3.2 KiB
Python
Executable File

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