add lorenz curve labels

app.py

@@ -88,7 +88,7 @@ def user_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_file=
         # print(envy_user, idx)
         patches[idx-1].set_fc('r')
         ax1.legend(handles=[Patch(facecolor='r', edgecolor='r', alpha=0.5,
-                         label='Your envy group')], fontsize=15)
+                         label='Your envy level')], fontsize=15)
         ax1.set_xlabel('Envy', fontsize=18)
         ax1.set_ylabel('Number of users (log scale)', fontsize=18)
         
@@ -316,7 +316,10 @@ def developer_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_
 
         ax.plot(np.arange(X_lorenz.size) / (X_lorenz.size - 1), X_lorenz, label=label)
         ## line plot of equality
-        ax.plot([0, 1], [0, 1], linestyle='dashed', color='k')
+        ax.plot([0, 1], [0, 1], linestyle='dashed', color='k', label='Line of Equality')
+        ax.legend(fontsize=15)
+        ax.set_xlabel('Percentage of jobs', fontsize=18)
+        ax.set_ylabel('Percentage of job exposure', fontsize=18)
         return ax
 
     def plot_item(rec_per_job):
@@ -330,8 +333,8 @@ def developer_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_
         ax1.set_xlabel('Number of times a job is recommended', fontsize=18)
         ax1.set_ylabel('Number of jobs', fontsize=18)
         ax1.set_title('Distribution of job exposure', fontsize=18)
-        ax2 = lorenz_curve(rec_per_job, ax2,'')
-        ax2.set_title('Lorenz Curve', fontsize=18)
+        ax2 = lorenz_curve(rec_per_job, ax2,'Lorenz Curve')
+        # ax2.set_title('Lorenz Curve', fontsize=18)
         return fig