Update app.py

app.py

@@ -205,7 +205,133 @@ class TyphoonAnalyzer:
         finally:
             if os.path.exists(temp_file):
                 os.remove(temp_file)
+    def create_wind_analysis(self, data):
+        """Create wind speed analysis plot"""
+        fig = px.scatter(data,
+            x='ONI',
+            y='USA_WIND',
+            color='Category',
+            color_discrete_map=COLOR_MAP,
+            title='Wind Speed vs ONI Index',
+            labels={
+                'ONI': 'Oceanic Niño Index',
+                'USA_WIND': 'Maximum Wind Speed (kt)'
+            },
+            hover_data=['NAME', 'ISO_TIME', 'Category']
+        )
+        
+        # Add regression line
+        x = data['ONI']
+        y = data['USA_WIND']
+        slope, intercept = np.polyfit(x, y, 1)
+        fig.add_trace(
+            go.Scatter(
+                x=x,
+                y=slope * x + intercept,
+                mode='lines',
+                name=f'Regression (slope={slope:.2f})',
+                line=dict(color='black', dash='dash')
+            )
+        )
+        
+        return fig
+    def create_typhoon_animation(self, year, typhoon_id):
+        """Create animated visualization of typhoon path"""
+        if not typhoon_id:
+            return go.Figure(), "Please select a typhoon"
+            
+        storm_data = self.typhoon_data[self.typhoon_data['SID'] == typhoon_id]
+        if storm_data.empty:
+            return go.Figure(), "No data available for selected typhoon"
+            
+        storm_data = storm_data.sort_values('ISO_TIME')
+        
+        fig = go.Figure()
+        
+        # Base map settings
+        fig.update_layout(
+            title=f"Typhoon Path Animation - {storm_data['NAME'].iloc[0]}",
+            showlegend=True,
+            geo=dict(
+                projection_type='mercator',
+                showland=True,
+                showcoastlines=True,
+                landcolor='rgb(243, 243, 243)',
+                countrycolor='rgb(204, 204, 204)',
+                coastlinecolor='rgb(214, 214, 214)',
+                showocean=True,
+                oceancolor='rgb(230, 250, 255)',
+                lataxis=dict(range=[0, 50]),
+                lonaxis=dict(range=[100, 180]),
+                center=dict(lat=20, lon=140)
+            )
+        )
+
+        # Create animation frames
+        frames = []
+        for i in range(len(storm_data)):
+            frame = go.Frame(
+                data=[
+                    go.Scattergeo(
+                        lon=storm_data['LON'].iloc[:i+1],
+                        lat=storm_data['LAT'].iloc[:i+1],
+                        mode='lines+markers',
+                        line=dict(width=2, color='red'),
+                        marker=dict(size=8, color='red'),
+                        name='Path',
+                        hovertemplate=(
+                            f"Time: {storm_data['ISO_TIME'].iloc[i]:%Y-%m-%d %H:%M}<br>" +
+                            f"Wind: {storm_data['USA_WIND'].iloc[i]:.1f} kt<br>" +
+                            f"Pressure: {storm_data['WMO_PRES'].iloc[i]:.1f} hPa<br>" +
+                            f"Lat: {storm_data['LAT'].iloc[i]:.2f}°N<br>" +
+                            f"Lon: {storm_data['LON'].iloc[i]:.2f}°E"
+                        )
+                    )
+                ],
+                name=f'frame{i}'
+            )
+            frames.append(frame)
 
+        fig.frames = frames
+
+        # Add animation controls
+        fig.update_layout(
+            updatemenus=[{
+                'buttons': [
+                    {
+                        'args': [None, {'frame': {'duration': 100, 'redraw': True},
+                                      'fromcurrent': True}],
+                        'label': 'Play',
+                        'method': 'animate'
+                    },
+                    {
+                        'args': [[None], {'frame': {'duration': 0, 'redraw': True},
+                                        'mode': 'immediate',
+                                        'transition': {'duration': 0}}],
+                        'label': 'Pause',
+                        'method': 'animate'
+                    }
+                ],
+                'type': 'buttons',
+                'showactive': False,
+                'x': 0.1,
+                'y': 0,
+                'xanchor': 'right',
+                'yanchor': 'top'
+            }]
+        )
+
+        info_text = f"""
+        ### Typhoon Information
+        - Name: {storm_data['NAME'].iloc[0]}
+        - Start Date: {storm_data['ISO_TIME'].iloc[0]:%Y-%m-%d %H:%M}
+        - End Date: {storm_data['ISO_TIME'].iloc[-1]:%Y-%m-%d %H:%M}
+        - Maximum Wind Speed: {storm_data['USA_WIND'].max():.1f} kt
+        - Minimum Pressure: {storm_data['WMO_PRES'].min():.1f} hPa
+        """
+
+        return fig, info_text
+    
     def convert_oni_ascii_to_csv(self, input_file, output_file):
         data = defaultdict(lambda: [''] * 12)
         season_to_month = {