# HG changeset patch
# User tomwalters
# Date 1288575404 0
# Node ID 3cd89083089106e42e27d23a6a09170a6319b079
# Parent  a06ab1d44e4316a110888d18112710c90cddc9ce
- Offscreen plotting

diff -r a06ab1d44e43 -r 3cd890830891 experiments/scripts/cnbh-syllables/results_plotting/plot_munged_results.py
--- a/experiments/scripts/cnbh-syllables/results_plotting/plot_munged_results.py	Mon Nov 01 01:29:33 2010 +0000
+++ b/experiments/scripts/cnbh-syllables/results_plotting/plot_munged_results.py	Mon Nov 01 01:36:44 2010 +0000
@@ -6,8 +6,11 @@
 
 import numpy as np
 import pylab as p
+import matplotlib as mpl
+mpl.use('PDF')
 import matplotlib.pyplot as plt
 
+
 f=open("results_test_all.csv","r")
 results = dict()
 for line in f:
@@ -23,7 +26,7 @@
        snr = 50
     else:
        snr = int(values[2])
-       results[values[3]][values[0]][values[1]][int(values[4])][int(values[5])][int(vlues[6])][snr] = float(values[7])
+       results[values[3]][values[0]][values[1]][int(values[4])][int(values[5])][int(values[6])][snr] = float(values[7])
 #    results[values[3]].append((values[1],values[2],values[2],values[4]))
 
 ax = plt.subplot(111)
@@ -47,4 +50,4 @@
 p.legend(lines, labels, 'upper left', shadow=True)
 p.xlabel('SNR/dB')
 p.ylabel('Recognition performance %')
-plt.show()
+plt.savefig(output_file)