|
- #!/usr/bin/env python3
- # -*- coding: utf-8 -*-
- """
- Draw running time.
- Created on Mon Sep 24 17:37:26 2018
-
- @author: ljia
- """
-
- import numpy as np
- import matplotlib.pyplot as plt
-
- N = 6
- tgm1 = [3.68,
- 2.24,
- 3.34,
- # 0,
- 20.00,
- 2020.46,
- 3198.84]
- tgm2 = [4.29,
- 3.35,
- 5.78,
- # 11.21,
- 40.58,
- 3136.26,
- 17222.21]
- tms1 = [51.19,
- 73.09,
- 5.01,
- # 0,
- 22.87,
- 2211.97,
- 3211.58]
- tms2 = [65.16,
- 53.02,
- 10.32,
- # 1162.41,
- 49.86,
- 3931.68,
- 17270.55]
-
- fig, ax = plt.subplots()
-
- ind = np.arange(N) # the x locations for the groups
- width = 0.30 # the width of the bars: can also be len(x) sequence
-
- p1 = ax.bar(ind, tgm1, width, label='$t_{gm}$ CRIANN')
- p2 = ax.bar(ind, tms1, width, bottom=tgm1, label='$t_{ms}$ CRIANN')
- p3 = ax.bar(ind + width, tgm2, width, label='$t_{gm}$ laptop')
- p4 = ax.bar(ind + width, tms2, width, bottom=tgm2, label='$t_{ms}$ laptop')
-
- ax.set_yscale('log', nonposy='clip')
- ax.set_xlabel('datasets')
- ax.set_ylabel('runtime($s$)')
- ax.set_title('Runtime of the shortest path kernel on all datasets')
- plt.xticks(ind + width / 2, ('Acyclic', 'Alkane', 'MAO', 'MUTAG', 'Letter-med', 'ENZYMES'))
- #ax.set_yticks(np.logspace(-16, -3, num=20, base=10))
- #ax.set_ylim(bottom=1e-15)
- ax.legend(loc='upper left')
-
- ax2 = ax.twinx()
- p1 = ax2.plot(ind + width / 2, np.array(tgm2) / np.array(tgm1), 'ro-',
- label='$t_{gm}$ laptop / $t_{gm}$ CRIANN')
- ax2.set_ylabel('ratios')
- ax2.legend(loc='upper center')
-
- plt.savefig('check_gm/compare_running_time.eps', format='eps', dpi=300)
- plt.show()
|
