import pandas as pd
import numpy as np

def daily_average(counts_df):
    
    filtered_views_list = ['View_from_Second_Link_at_Tuas_to_sg',
                        'View_from_Second_Link_at_Tuas_to_jh',
                        'View_from_Tuas_Checkpoint_to_sg',
                        'View_from_Tuas_Checkpoint_to_jh',
                        'View_from_Woodlands_Causeway_Towards_Johor_to_sg',
                        'View_from_Woodlands_Causeway_Towards_Johor_to_jh',
                        'View_from_Woodlands_Checkpoint_Towards_BKE_to_sg',
                        'View_from_Woodlands_Checkpoint_Towards_BKE_to_jh']

    counts_df_filter_views = counts_df[counts_df['view'].isin(filtered_views_list)]
    counts_df_filter_views['date'] = pd.to_datetime(counts_df_filter_views['date'])
    counts_df_filter_views['day_of_week'] = counts_df_filter_views['date'].dt.day_of_week
    date_view_group = counts_df_filter_views.groupby(by=['view', 'day_of_week']).mean()
    date_view_group = date_view_group.reset_index()