15 def histplot(data,labels, colors, x_label, y_label, title, fig_name, cdf):  argument
18 …n, bins, patches = ax.hist(data, 20, weights=None, histtype='step', normed=True, cumulative=True, …
23 … n, bins, patches = ax.hist( data, 20, weights=None, histtype='bar', label= labels, color = colors)
45 def accplot(data, labels, colors, x_label, y_label, title, fig_name, annotation):  argument
46     mean = np.zeros(len(data))
47     for i in range(len(data)):
48         if len(data[i]) > 0: 
49             mean[i] = len(data[i]) /(1.0*max(data[i]))
54     for i in range(len(data)):
55         if len(data[i]) > 0: 
56 …ax.plot(data[i], range(len(data[i])), colors[i], label= labels[i]+', '+mean[i]+' adv/s, total nr. …
85 def mean_common_len(data):  argument
87     for i in range(len(data) - 1):
88         if len(data[i]) > 0:
90                 mcl = len(data[i])
92                 mcl = min(mcl, len(data[i]))
95 def mean_common_time(data):  argument
97     for i in range(len(data) - 1):
98         if len(data[i]) > 0:
100                 mct = max(data[i])
102                 mct = min(mct, max(data[i]))