good_manufacturer.py

# removing those manufacturer whose count is less than 10
choco_data_with_sec_count = count_df(choco_data, 'manufacturer') 
choco_data_mod2 = choco_data_with_sec_count[choco_data_with_sec_count['count'] > 10] 

# grouping the data by manufacturer and calculating the avg. mean for each of them
avg_rating_by_company = choco_data_mod2.groupby('manufacturer')['rating'].mean() 
avg_rating_by_company_df = avg_rating_by_company.rename_axis('Company').reset_index(name='Rating') 
avg_rating_by_company_df_sorted = avg_rating_by_company_df.sort_values(by='Rating', ascending=False).head(10) 

# adding title and plotting the data
fig = px.bar(avg_rating_by_company_df_sorted, x='Company', y='Rating', log_y=True, color_continuous_scale='inferno', color='Rating') 
fig.update_layout(title={'text': 'The Best Chocolate Manufacturer'}) 
fig.show()