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Sleeping
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() |