Update app.py

app.py

@@ -124,6 +124,24 @@ def create_treemap(df, title):
     fig = px.treemap(df, path=['parentalguide'], title=title)
     return fig
 
+def create_best_genres_line_chart(df, title):
+    # Combine genres data from both movies and TV series
+    df_genres = df.explode('genre')
+    
+    # Group by year and genre to count occurrences
+    genre_counts = df_genres.groupby(['year', 'genre']).size().reset_index(name='count')
+    
+    # Find the most popular genre by count for each year
+    idx = genre_counts.groupby(['year'])['count'].transform(max) == genre_counts['count']
+    best_genres = genre_counts[idx]
+    
+    # Plotly line chart for best genres over the years
+    fig_best_genres = px.line(best_genres, x='year', y='count', color='genre', title=title)
+    fig_best_genres.update_layout(xaxis_title='Year', yaxis_title='Number of Works', legend_title='Genre')
+    
+    return fig_best_genres
+
+
 # Function to create genre bar chart
 def create_genre_bar_chart(df, title):
     df_exploded = df.explode('genre')
@@ -192,7 +210,7 @@ if selection_movies:
         st.plotly_chart(create_country_map(df_movies, 'Global Distribution of Movies'), use_container_width=True)
     with col2_2:
         st.plotly_chart(create_rating_box_chart(df_movies, 'Rating Distribution - Movies'), use_container_width=True)
-
+    st.plotly_chart(create_best_genres_line_chart(df_movies, 'Best Genres Over the Years - Movies'), use_container_width=True)
 elif selection_tv_series:
     st.subheader('TV Series')
     display_summary_metrics(df_tv_series)
@@ -206,3 +224,4 @@ elif selection_tv_series:
         st.plotly_chart(create_country_map(df_tv_series, 'Global Distribution of TV Series'), use_container_width=True)
     with col2_2:
         st.plotly_chart(create_rating_box_chart(df_tv_series, 'Rating Distribution - TV Series'), use_container_width=True)
+    st.plotly_chart(create_best_genres_line_chart(df_tv_series, 'Best Genres Over the Years - TV Series'), use_container_width=True)