python - 如何将整数(秒)添加到 hh :mm:ss format in Python?

Question

我在 python 中有以下数据框，其中尝试通过将“持续时间”(以秒为单位)添加到“start_time”来计算“新时间”列

Serial  start_date     start_time     Duration(seconds)  New time
    A   5/22/2017       10:37:24        216 
    A   5/22/2017       10:37:26        213 
    A   5/22/2017       10:37:29         3  
    A   5/22/2017       10:39:55         60 
    A   5/22/2017       10:51:50        380 
    A   5/22/2017       10:51:57        339 

我想将持续时间添加到 start_time 中。持续时间以秒为单位。“新时间”应采用 hh:mm:ss 格式。

我尝试在论坛中寻找类似的查询，但无法解决这个问题。

以下是信息

data.info()

start_date         13661 non-null object
start_time         13661 non-null object
Duration           13661 non-null int64

我尝试使用日期时间从论坛中的类似问题中获取线索

data.newtime = data.start_time + datetime.timedelta(data.Duration)

当我执行此操作时，出现以下错误:TypeError:timedelta 天组件不支持的类型:系列

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-95-fdfac1490ba5> in <module>()
----> 1 data.newtime = data.start_time + datetime.timedelta(data.Duration)

TypeError: unsupported type for timedelta days component: Series

不知道该怎么做。 Python 新手。

感谢帮助TIA

Answer 1

您可以使用to_timedelta输出也是timedelta:

df['New time'] = pd.to_timedelta(df['start_time']) + 
                 pd.to_timedelta(df['Duration(seconds)'], unit='s')
print (df)
  Serial start_date start_time  Duration(seconds) New time
0      A  5/22/2017   10:37:24                216 10:41:00
1      A  5/22/2017   10:37:26                213 10:40:59
2      A  5/22/2017   10:37:29                  3 10:37:32
3      A  5/22/2017   10:39:55                 60 10:40:55
4      A  5/22/2017   10:51:50                380 10:58:10
5      A  5/22/2017   10:51:57                339 10:57:36

但是如果秒数更多，输出就会改变，因为还有天:

print (df)
  Serial start_date start_time  Duration(seconds)
0      A  5/22/2017   10:37:24                216
1      A  5/22/2017   10:37:26             213000
2      A  5/22/2017   10:37:29                  3
3      A  5/22/2017   10:39:55                 60
4      A  5/22/2017   10:51:50                380
5      A  5/22/2017   10:51:57                339

df['New time'] = pd.to_timedelta(df['start_time']) + 
                 pd.to_timedelta(df['Duration(seconds)'], unit='s')
print (df)
  Serial start_date start_time  Duration(seconds)        New time
0      A  5/22/2017   10:37:24                216 0 days 10:41:00
1      A  5/22/2017   10:37:26             213000 2 days 21:47:26
2      A  5/22/2017   10:37:29                  3 0 days 10:37:32
3      A  5/22/2017   10:39:55                 60 0 days 10:40:55
4      A  5/22/2017   10:51:50                380 0 days 10:58:10
5      A  5/22/2017   10:51:57                339 0 days 10:57:36

<小时/>

也可以添加日期时间:

df['New date'] = pd.to_datetime(df['start_date']) + \
                 pd.to_timedelta(df['start_time']) +  \
                 pd.to_timedelta(df['Duration(seconds)'], unit='s')
print (df)
  Serial start_date start_time  Duration(seconds)            New date
0      A  5/22/2017   10:37:24                216 2017-05-22 10:41:00
1      A  5/22/2017   10:37:26                213 2017-05-22 10:40:59
2      A  5/22/2017   10:37:29                  3 2017-05-22 10:37:32
3      A  5/22/2017   10:39:55                 60 2017-05-22 10:40:55
4      A  5/22/2017   10:51:50                380 2017-05-22 10:58:10
5      A  5/22/2017   10:51:57                339 2017-05-22 10:57:36

<小时/>

df['New date'] = pd.to_datetime(df['start_date']) + \
                 pd.to_timedelta(df['start_time']) +  \
                 pd.to_timedelta(df['Duration(seconds)'], unit='s')
print (df)
  Serial start_date start_time  Duration(seconds)            New date
0      A  5/22/2017   10:37:24                216 2017-05-22 10:41:00
1      A  5/22/2017   10:37:26             213000 2017-05-24 21:47:26
2      A  5/22/2017   10:37:29                  3 2017-05-22 10:37:32
3      A  5/22/2017   10:39:55                 60 2017-05-22 10:40:55
4      A  5/22/2017   10:51:50                380 2017-05-22 10:58:10
5      A  5/22/2017   10:51:57                339 2017-05-22 10:57:36

---

如果需要将timedelta转换为字符串，格式为HH:MM:SS和丢失的天(如果存在):

df['New time'] = pd.to_timedelta(df['start_time']) + 
                 pd.to_timedelta(df['Duration(seconds)'], unit='s')
df['New time'] = pd.to_datetime(df['New time']).dt.strftime('%H:%M:%S')
print (df)
  Serial start_date start_time  Duration(seconds)  New time
0      A  5/22/2017   10:37:24                216  10:41:00
1      A  5/22/2017   10:37:26             213000  21:47:26
2      A  5/22/2017   10:37:29                  3  10:37:32
3      A  5/22/2017   10:39:55                 60  10:40:55
4      A  5/22/2017   10:51:50                380  10:58:10
5      A  5/22/2017   10:51:57                339  10:57:36