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VotoMatcher

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Thiloid commited on Jul 23

Commit

6fe9071

verified ·

1 Parent(s): e630891

Update app.py

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Files changed (1) hide show

app.py +10 -8

app.py CHANGED Viewed

@@ -169,11 +169,12 @@ if uploaded_file is not None:
                 filtered_df = df[df['party_name'] == selected_party]
                 fig, ax = plt.subplots(figsize=(12, 20))
                 ax.scatter(filtered_df['valuation'], filtered_df['short_text'], color='blue', s=100)  # s is the size of points
-                ax.set_xlabel('Valuation')
-                ax.set_ylabel('Statements')
-                ax.set_title('Valuation by Statement')
                 ax.set_xticks(y_ticks)  # Set y-ticks dynamically based on condition
-                ax.tick_params(axis='y', labelsize=14)
                 ax.set_xticklabels(y_tick_labels)
                 plt.xticks(rotation=45)
                 ax.grid(True)
@@ -199,11 +200,12 @@ if uploaded_file is not None:
                 filtered_unique_parties_result = unique_parties_result[unique_parties_result['party_name'] == selected_party]
                 fig, ax = plt.subplots(figsize=(12, 20))
                 ax.scatter(filtered_unique_parties_result['valuation'], filtered_unique_parties_result['short_text'], color='blue', s=100)  # s is the size of points
-                ax.set_xlabel('Valuation')
-                ax.set_ylabel('Statements')
-                ax.set_title('Valuation by Statement')
                 ax.set_xticks(y_ticks)  # Set y-ticks dynamically based on condition
-                ax.tick_params(axis='y', labelsize=14)
                 ax.set_xticklabels(y_tick_labels)
                 plt.xticks(rotation=45)
                 ax.grid(True)

                 filtered_df = df[df['party_name'] == selected_party]
                 fig, ax = plt.subplots(figsize=(12, 20))
                 ax.scatter(filtered_df['valuation'], filtered_df['short_text'], color='blue', s=100)  # s is the size of points
+                ax.set_xlabel('Valuation',fontsize=16)
+                ax.set_ylabel('Statements',fontsize=16)
+                ax.set_title('Valuation by Statement',fontsize=16)
                 ax.set_xticks(y_ticks)  # Set y-ticks dynamically based on condition
+                ax.tick_params(axis='y', labelsize=16)
+                ax.tick_params(axis='x', labelsize=16)
                 ax.set_xticklabels(y_tick_labels)
                 plt.xticks(rotation=45)
                 ax.grid(True)
                 filtered_unique_parties_result = unique_parties_result[unique_parties_result['party_name'] == selected_party]
                 fig, ax = plt.subplots(figsize=(12, 20))
                 ax.scatter(filtered_unique_parties_result['valuation'], filtered_unique_parties_result['short_text'], color='blue', s=100)  # s is the size of points
+                ax.set_xlabel('Valuation',fontsize=16)
+                ax.set_ylabel('Statements',fontsize=16)
+                ax.set_title('Valuation by Statement',fontsize=16)
                 ax.set_xticks(y_ticks)  # Set y-ticks dynamically based on condition
+                ax.tick_params(axis='y', labelsize=16)
+                ax.tick_params(axis='x', labelsize=16)
                 ax.set_xticklabels(y_tick_labels)
                 plt.xticks(rotation=45)
                 ax.grid(True)