plot_per_sent.py

from __future__ import division
from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
import os
from matplotlib import rc

# rc('font',**{'family':'serif', 'serif':['Times']})
# rc('text', usetex=True)

# F1 of (SA, LISA, LISA+DM, LISA+Gold), LAS of (LISA, DM)
scores_2005 = np.genfromtxt("srl_comparison_2005.txt", names=['F1_SA', 'F1_LISA', 'F1_LISA_DM', 'F1_LISA_Gold', 'LAS_LISA', 'LAS_DM'])

fig1, ax1 = plt.subplots()
ax1.scatter(scores_2005['F1_LISA'], scores_2005['LAS_LISA'], alpha=0.5)
ax1.scatter(scores_2005['F1_LISA_DM'], scores_2005['LAS_DM'], alpha=0.5)
ax1.set_ylabel('LAS')
ax1.set_xlabel('F1')

plt.legend(['LISA', 'LISA+DM'])

scores_2012 = np.genfromtxt("srl_comparison_2012.txt", names=['F1_SA', 'F1_LISA', 'F1_LISA_DM', 'F1_LISA_Gold', 'LAS_LISA', 'LAS_DM'])

fig2, ax2 = plt.subplots()
ax2.scatter(scores_2012['F1_LISA'], scores_2012['LAS_LISA'], alpha=0.5)
ax2.scatter(scores_2012['F1_LISA_DM'], scores_2012['LAS_DM'], alpha=0.5)
ax2.set_ylabel('LAS')
ax2.set_xlabel('F1')

plt.legend(['LISA', 'LISA+DM'])

plt.tight_layout()

plt.show()