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plotting.py
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plotting.py
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import os
import argparse
from collections import Counter
from graph import load, connected
import matplotlib.pyplot as plt
def flaw_bar_plot(G, output):
flaw_counter = Counter([node[1]['flaws'] for node in G.nodes(data=True)])
max_k = max(flaw_counter.keys())
max_v = max(flaw_counter.values())
plot(flaw_counter, output, max_k, max_v)
def plot(flaw_counter, output, max_x, max_y):
labels = list()
xs = list()
for idx in range(max_x + 1):
v = flaw_counter.get(idx, 0)
labels.append(idx)
xs.append(v)
fig = plt.figure(figsize=(6, 6))
plt.title("Breaches distribution")
plt.xlabel("Number of breaches")
plt.ylabel("Number of nodes")
plt.ylim(0, max_y+20)
plt.bar(range(len(xs)), xs, tick_label=labels, color='#8ebad9')
plt.savefig(os.path.join(output, 'flaws_barplot.png'))
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Plot multiple bar plots with the same size of axes.')
parser.add_argument('paths', type=str, nargs='+', help='Paths to graphs.')
args = parser.parse_args()
graphs_paths = list()
max_k, max_v = 0, 0
for path in args.paths:
# Load
G = load(os.path.join(path, 'graph.net'))
# Get connected graph
G = connected(G, strategy="connect")
# Get flaws counter
flaw_counter = Counter([node[1]['flaws'] for node in G.nodes(data=True)])
# Get max k,v
max_k = max(max_k, max(flaw_counter.keys()))
max_v = max(max_v, max(flaw_counter.values()))
# Append to list
graphs_paths.append([G, flaw_counter, path])
for G, flaw_counter, path in graphs_paths:
plot(flaw_counter, path, max_k, max_v)