pd.to_timedelta（）をtime（）オブジェクトに変換する方法は？

Question

0 days 08:00:00〜08:00:00が必要です。

コード：

import pandas as pd 
df = pd.DataFrame({ 
'Slot_no':[1,2,3,4,5,6,7], 
'start_time':['0:01:00','8:01:00','10:01:00','12:01:00','14:01:00','18:01:00','20:01:00'], 
'end_time':['8:00:00','10:00:00','12:00:00','14:00:00','18:00:00','20:00:00','0:00:00'], 
'location_type':['not considered','Food','Parks & Outdoors','Food', 
'Arts & Entertainment','Parks & Outdoors','Food']}) 

df = df.reindex_axis(['Slot_no','start_time','end_time','location_type','loc_set'], axis=1) 

df['start_time'] = pd.to_timedelta(df['start_time']) 
df['end_time'] = pd.to_timedelta(df['end_time'].replace('0:00:00', '24:00:00')) 

出力：

print (df) 
    Slot_no start_time  end_time   location_type loc_set 
0  1 00:01:00 0 days 08:00:00  not considered  NaN 
1  2 08:01:00 0 days 10:00:00     Food  NaN 
2  3 10:01:00 0 days 12:00:00  Parks & Outdoors  NaN 
3  4 12:01:00 0 days 14:00:00     Food  NaN 
4  5 14:01:00 0 days 18:00:00 Arts & Entertainment  NaN 
5  6 18:01:00 0 days 20:00:00  Parks & Outdoors  NaN 
6  7 20:01:00 1 days 00:00:00     Food  NaN 

Answer 1

あなたはdt.timeでto_datetimeを使用することができます。

df['end_time_times'] = pd.to_datetime(df['end_time']).dt.time 
print (df) 
    Slot_no start_time  end_time   location_type loc_set \ 
0  1 00:01:00 0 days 08:00:00  not considered  NaN 
1  2 08:01:00 0 days 10:00:00     Food  NaN 
2  3 10:01:00 0 days 12:00:00  Parks & Outdoors  NaN 
3  4 12:01:00 0 days 14:00:00     Food  NaN 
4  5 14:01:00 0 days 18:00:00 Arts & Entertainment  NaN 
5  6 18:01:00 0 days 20:00:00  Parks & Outdoors  NaN 
6  7 20:01:00 1 days 00:00:00     Food  NaN 

    end_time_times 
0  08:00:00 
1  10:00:00 
2  12:00:00 
3  14:00:00 
4  18:00:00 
5  20:00:00 
6  00:00:00