increase font size

README.md

@@ -1,8 +1,8 @@
 ---
 title: FEIR Viz Tool
-emoji: 🚀
-colorFrom: purple
-colorTo: green
+emoji: 💻
+colorFrom: indigo
+colorTo: purple
 sdk: gradio
 sdk_version: 3.32.0
 app_file: app.py

app.py

@@ -79,7 +79,7 @@ def user_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_file=
         envy = ret_dict['envy'].sum(-1)
         envy_user = envy[user]
         # plot envy histogram
-        n, bins, patches = ax1.hist(envy, bins=50, color='grey', alpha=0.5)
+        n, bins, patches = ax1.hist(envy, bins=30, color='grey', alpha=0.5)
         ax1.set_yscale('symlog')
         sns.kdeplot(envy, color='grey', bw_adjust=0.3, cut=0, ax=ax1)
         # mark this user's envy
@@ -88,9 +88,9 @@ 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')])
-        ax1.set_xlabel('Envy')
-        ax1.set_ylabel('Number of users (log scale)')
+                         label='Your envy group')], fontsize=15)
+        ax1.set_xlabel('Envy', fontsize=18)
+        ax1.set_ylabel('Number of users (log scale)', fontsize=18)
         
         return fig
 
@@ -137,6 +137,7 @@ def user_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_file=
                         legend=False, s=100, hue='y', palette="summer") #monotone color palette
         sns.scatterplot(y=my_scores, x=range(k), ax=ax,
                         alpha=0.8, s=200, ec='r', fc='none', label='Your rank')
+
         # add ranking of this user's score for each job
         # find score gaps
         gaps = np.diff(np.sort(scores[0])).mean()
@@ -147,14 +148,14 @@ def user_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_file=
         ax.set_xticks(range(k))
         # shorten the job title
         titles = [recdata.job_metadata[jb] for jb in users_rec]
-        titles = [t[:20] + '...' if len(t) > 20 else t for t in titles]
-        ax.set_xticklabels(titles, rotation=30, ha='right')
+        titles = [t[:15] + '...' if len(t) > 15 else t for t in titles]
+        ax.set_xticklabels(titles, rotation=25, ha='right', fontsize=15)
         ax.set_xlabel('')
         ax.set_xlim(-1, k)
         # ax.grid(False)
-        ax.set_ylabel('Score')
+        ax.set_ylabel('Score', fontsize=18)
         # ax.set_ylim(-0.09, 1.2)
-        ax.legend()
+        ax.legend(fontsize=15)
         return fig
 
 
@@ -270,15 +271,17 @@ def developer_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_
         plt.close('all')
         envy = metrics_dict['envy'].numpy()
         inferiority = metrics_dict['inferiority'].numpy()
-        fig, (ax1, ax2) = plt.subplots(ncols=2)
-        fig.tight_layout()
+        fig, (ax1, ax2) = plt.subplots(ncols=2, constrained_layout = True)
+        # fig.tight_layout()
         ax1.boxplot(envy)
-        ax1.set_ylabel('envy')
-        ax1.set_title('Envy')
+        ax1.set_ylabel('Envy', fontsize=18)
+        # ax1.set_title('Envy', fontsize=18)
         ax1.set_xticks([])
         ax2.boxplot(inferiority)
-        ax2.set_ylabel('inferiority')
-        ax2.set_title('Inferiority')
+        ax2.yaxis.set_label_position("right")
+        ax2.yaxis.tick_right()
+        ax2.set_ylabel('Inferiority', fontsize=18)
+        # ax2.set_title('Inferiority', fontsize=18)
         ax2.set_xticks([])
         return fig
 
@@ -297,8 +300,11 @@ def developer_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_
                 'inferiority': metrics_dict['inferiority']}
         data = pd.DataFrame(data)
         data = data.join(recdata.user_metadata)
-        fig, ax = plt.subplots()
+        fig, ax = plt.subplots(constrained_layout = True)
         sns.scatterplot(data=data, x='log(envy+1)', y='inferiority', hue=group, ax=ax)
+        ax.set_xlabel('Log(envy+1)', fontsize=18)
+        ax.set_ylabel('Inferiority', fontsize=18)
+        ax.legend(fontsize=15)
         return fig
     
     def lorenz_curve(X, ax, label):
@@ -321,11 +327,11 @@ def developer_interface(Ufile, Pfile, Sfile=None, job_meta_file=None, user_meta_
         labels, counts = np.unique(rec_per_job, return_counts=True)
         ax1.bar(labels, counts, align='center')
 
-        ax1.set_xlabel('Number of times a job is recommended')
-        ax1.set_ylabel('Number of jobs')
-        ax1.set_title('Distribution of job exposure')
+        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')
+        ax2.set_title('Lorenz Curve', fontsize=18)
         return fig