stable now

app.py

@@ -106,7 +106,7 @@ def main(from_date,
                 elif col == 'sentiment':
                     pie_charts.append(pie_chart(db[0], col, col + ": " + db[1]))
                 elif col == TOPIC:
-                    pie_charts.append(nested_pie_chart(db[0], col, col + ": " + db[1]))
+                    pie_charts.append(nested_pie_chart(db[0]))
         return pie_charts
 
     def bar(db: pd.DataFrame, title):
@@ -175,7 +175,12 @@ def main(from_date,
             plt.title(title, fontdict=font1)
             return fig
 
-    def nested_pie_chart(df, col_name, title):
+    def nested_pie_chart(df):
+        """
+        This method adds a nested pie chart. The pie chart shows the sentiment for each target.
+        :param df: dataframe with data. The selected leaders have non-empty entries in the dataframe.
+        :return: figure with the nested pie chart.
+        """
         if df.empty:
             return None
         else:
@@ -214,7 +219,7 @@ def main(from_date,
                        wedgeprops=dict(width=size, edgecolor='w'))
                 ax.pie(vals.flatten(), radius=1 - size, colors=inner_colors,
                        wedgeprops=dict(width=size, edgecolor='w'))
-                ax.set(aspect='equal', title='Nested sentiment plot')
+                ax.set(aspect='equal', title='Topic (outer circle) and its corresponding sentiment (inner circle)')
             return fig
 
     # text_classifier = tc.TextClassifier(from_date=from_date, to_date=to_date,