Choco_good_rating_avg.py

import plotly.express as px 
import plotly.graph_objects as go 

# removing those chocolates which has a count less than 10 
choco_data_with_count = count_df(choco_data, 'bar_name') 
choco_data_mod = choco_data_with_count[choco_data_with_count['count'] >= 10] 

# grouping chocolates according to bar_name and calculating mean 
avg_rating_by_bar = choco_data_mod.groupby('bar_name')['rating'].mean() 
avg_rating_by_bar_df = avg_rating_by_bar.rename_axis('bar_name').reset_index(name='rating') 
avg_rating_by_bar_df_sorted = avg_rating_by_bar_df.sort_values(by='rating',ascending=False).head(10) 

# plotting the results 
fig = px.bar(avg_rating_by_bar_df_sorted, x='bar_name', y='rating', log_y=True, color_continuous_scale='viridis', color='rating') 
fig.update_layout(title={'text': 'Most Popular Chocolate Bar'}) 
fig.show()