making the box plot look nice

visualize.py

@@ -68,8 +68,36 @@ def make_box_plot(group1, group2, gene_names, scores, output_directory, figure_n
 	for name in group2:
 		group_two.append(scores[gene_names.index(name)])
 
-	plt.figure()
-	plt.boxplot([group_one, group_two])
+	#plt.figure()
+	#plt.boxplot([group_one, group_two])
+
+	groups_names = ['Important in ED', 'Not important in ED']
+
+	data = [group_one, group_two]
+
+	fig, ax1 = plt.subplots(figsize=(10,10))
+	#fig.canvas.set_window_title('The visualization of correlation between gene and exons length')
+	#fig.subplots_adjust(left=0.075, rigth=0.95, top=0.9, bottom=0.25)
+
+	bp = ax1.boxplot(data, notch=0, sym='+', vert=1, whis=1.5)
+	plt.setp(bp['boxes'], color='black')
+	plt.setp(bp['whiskers'], color='black')
+	plt.setp(bp['fliers'], color='red', marker='+')
+
+	# Add a horizontal grid to the plot, but make it very light in color
+	# so we can use it for reading data values but not be distracting
+	ax1.yaxis.grid(True, linestyle='-', which='major', color='lightgrey', alpha=0.5)
+
+	# Hide these grid behind plot objects
+	#ax1.set_axisbelow(True)
+
+	ax1.set_title('The visualization of correlation between gene and exons length')
+	ax1.set_xlabel('Groups')
+	ax1.set_ylabel('Number')
+
+	#ax1.set_ylim(bottom, top)
+	ax1.set_xticklabels(np.repeat(groups_names, 2), rotation=45, fontsize=8)
+
 
 	plt.show()