我想从现有的'TimeMajor'列中创建一个新的'Time'列,它将以总秒数的形式包含时间,其内容将为整数类型。例如,>
00:00:05 = 5 secs 00:14:10 = 850 secs 02:30:10 = 9010 secs
代码:
data["TimeMajor"] = pd.to_datetime(data["created_at"]) data['Time'] = data.TimeMajor.dt.time data['Time'].timedelta.total_seconds()
给出:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-47-d7912fbaf9b4> in <module>()
----> 1 data['Time'].timedelta.total_seconds()
/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py in __getattr__(self, name)
5272 if self._info_axis._can_hold_identifiers_and_holds_name(name):
5273 return self[name]
-> 5274 return object.__getattribute__(self, name)
5275
5276 def __setattr__(self, name: str, value) -> None:
AttributeError: 'Series' object has no attribute 'timedelta'
我想从现有的'TimeMajor'列中创建一个新的'Time'列,它将以总秒数的形式包含时间,其内容将为整数类型。例如,00:00:05 = 5 ...
首先使用timedelta
列'data [“ TimeMajor”]'中的time
组件的等效字符串转换为datetime
dtype: