Update app.py

app.py

@@ -260,7 +260,7 @@ with market_analysis:
 
 with news_analysis:
     st.header("News Analysis")
-    st.write("This module provides news impact for the following day based on the selected current date.")
+    st.write("This module provides news impact for the following day based on the current date.")
     
     # Load data
     data_file_path = r"Events_SameDay.csv"  # Update this with your file path
@@ -293,37 +293,6 @@ with news_analysis:
         # hoverlabel=dict(font=dict(color=events
         # ['FeatureSentiment'].apply(lambda x: 'red' if x == 'Negative' else 'blue' if x == 'Neutral' else 'green'))),  # Customize the line style, color, and width
     )
-    # Create dummy traces for the legend
-    dummy_positive = go.Scatter(x=[None], y=[None], mode='lines', name='Positive Impacts',
-        marker=dict(color=cs.pos_impacts_color, size=15), showlegend=True,
-        # visible='legendonly'
-        )
-    dummy_negative = go.Scatter(x=[None], y=[None], mode='lines', name='Negative Impacts',
-        marker=dict(color=cs.neg_impacts_color, size=15), showlegend=True,
-        # visible='legendonly'
-    )
-
-    fontsize = 12
-    annotations = []
-    # Create annotations for the Positive points
-    for index, row in plot_sub_pos.iterrows():
-        annotation1 = dict(x=row['Date'], y=row['Price'], text = row['Positive_Impacts'],
-                showarrow=True, arrowhead=0, # arrowcolor='black',
-                ax=10, ay=-20,   # Dynamic offset
-                font=dict(size=fontsize, color=cs.pos_impacts_color),
-            )
-        annotations.append(annotation1)
-
-    # Create annotations for the Negative points
-    for index, row in plot_sub_neg.iterrows():
-        annotation2 = dict(x=row['Date'], y=row['Price'], text = row['Negative_Impacts'],
-                showarrow=True, arrowhead=0, arrowcolor=cs.close_line_color,
-                ax=10, ay=-20,   # Dynamic offset
-                font=dict(size=fontsize, color=cs.neg_impacts_color),
-            )
-        annotations.append(annotation2)
-
-    # Create the layout
     title = 'OGDCL Close Price w.r.t. News Impacts'
     layout = go.Layout(
         title=title,
@@ -339,19 +308,17 @@ with news_analysis:
             # gridcolor='lightgray',
             range=[90, 120],
             tickvals=list(range(90, 120, 5)),
-        ),
-        # plot_bgcolor='rgba(245, 245, 245, 0.8)',
-        # paper_bgcolor='white',
-        # hoverlabel=dict(
-        #     bgcolor='white',
-        #     font=dict(color='black'),
-        # ),
-        annotations=annotations,
+        )
     )
 
     # Add all traces to the figure
-    figure = go.Figure(data=[line_stock, dummy_negative, dummy_positive], layout=layout)
-
+    figure = go.Figure(data=[line_stock], layout=layout)
+    figure.add_scatter(x=plot_sub_pos['Date'], y=plot_sub_pos['Price'], mode='markers', 
+        marker=dict(symbol='triangle-up', size=10, color=cs.pos_impacts_color), name='Strong buy', 
+        customdata=events['Feature'], hovertemplate='%{x}<br>Close: %{y}<br>Feature: %{customdata}<br>')  
+    figure.add_scatter(x=plot_sub_neg['Date'], y=plot_sub_neg['Price'], mode='markers', 
+        marker=dict(symbol='triangle-down', size=10, color=cs.neg_impacts_color), name='Strong sell', 
+        customdata=events['Feature'], hovertemplate='%{x}<br>Close: %{y}<br>Feature: %{customdata}<br>',)
     figure.update_layout(
         title={
             'text': title,
@@ -363,6 +330,8 @@ with news_analysis:
         },
         hovermode='closest',
         margin=dict(l=40, r=40, t=80, b=40),
+        modebar_add="togglespikelines",
+        # scrollZoom=True,
     )
     figure.update_xaxes(
         rangeslider_visible=True,
@@ -376,6 +345,8 @@ with news_analysis:
             ])
         )
     )
+    # Update y-axis to allow vertical scrolling and dragging
+    figure.update_yaxes(fixedrange=False)
     st.plotly_chart(figure)
 
     # news = events[events['Date'].between(start_date, end_date, inclusive='both')]