masterthesis/codes/node-ranking/plot_in_out_avg.py

#!/usr/bin/env python3

from datetime import datetime
import matplotlib.pyplot as plt
import numpy as np
import json

def load_data(path):
    with open(path, 'r') as f:
        return json.load(f)


def main():
    data = load_data('./tmp_plot.json')
    times = []
    avg_in = []
    avg_out = []
    known_in = []
    known_out = []
    number_of_nodes = []
    for k, v in sorted(data.items(), key = lambda kv: kv[0]):
        times.append(datetime.fromtimestamp(float(k)))
        avg_in.append(v['avg_in'])
        avg_out.append(v['avg_out'])
        known_in.append(v['known_in'])
        # known_out.append(v['known_out'])
        number_of_nodes.append(v['number_of_nodes'])


    fig, ax = plt.subplots()
    ax.plot(times, avg_in, label='Avg. In')
    # ax.plot(times, avg_out, label='Avg. Out')
    ax.plot(times, known_in, label='Known In')
    # ax.plot(times, known_out, label='Known Out')
    ax.plot(times, number_of_nodes, label='Total number of nodes')
    ax.set_title(f'Average edge count per hour')
    fig.autofmt_xdate()
    fig.legend()
    ax.set_ylim(ymin=0)
    plt.savefig(f'./tmp_plot.png')
    # print('created sr plot')
    plt.show()

if __name__ == '__main__':
    main()