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这里有一个数据集，包含日期、时间和一个输入。在这里，我想为特定时间添加timedelta，并添加到datetime列。你知道吗
因此，首先我将指定时间转换为00:00:00，它将是开始时间。从那时起我想加上一个小时，一个小时到6的范围。然后我想把它添加到datetime列中。你知道吗
我写了代码，但它给了我错误：Could not operate datetime.timedelta(0, 3600) with block values must be str, not datetime.timedelta
我的代码是：
data['date_time']= pd.to_datetime(data['date'] + " " + data['time'],
format='%d/%m/%Y %H:%M:%S', dayfirst=True)
mask = data['X3'].eq(5)
data['duration'] = data['date_time'].mask(mask, data['date_time'].dt.floor('d'))
T= pd.DataFrame({"data['duration']":[ "00:00:00" for i in range(3) ]},index=np.random.randint(0,100,3))
for it in range(1,4):
Time = T +timedelta(hours=1*it)
出现错误：
TypeError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\pandas\core\ops.py in na_op(x, y)
1466 try:
-> 1467 result = expressions.evaluate(op, str_rep, x, y, **eval_kwargs)
1468 except TypeError:
~\Anaconda3\lib\site-packages\pandas\core\computation\expressions.py in evaluate(op, op_str, a, b, use_numexpr, **eval_kwargs)
204 if use_numexpr:
--> 205 return _evaluate(op, op_str, a, b, **eval_kwargs)
206 return _evaluate_standard(op, op_str, a, b)
~\Anaconda3\lib\site-packages\pandas\core\computation\expressions.py in _evaluate_numexpr(op, op_str, a, b, truediv, reversed, **eval_kwargs)
119 if result is None:
--> 120 result = _evaluate_standard(op, op_str, a, b)
121
~\Anaconda3\lib\site-packages\pandas\core\computation\expressions.py in _evaluate_standard(op, op_str, a, b, **eval_kwargs)
64 with np.errstate(all='ignore'):
---> 65 return op(a, b)
66
TypeError: must be str, not datetime.timedelta
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\pandas\core\internals.py in eval(self, func, other, errors, try_cast, mgr)
1414 with np.errstate(all='ignore'):
-> 1415 result = get_result(other)
1416
~\Anaconda3\lib\site-packages\pandas\core\internals.py in get_result(other)
1382 else:
-> 1383 result = func(values, other)
1384
~\Anaconda3\lib\site-packages\pandas\core\ops.py in na_op(x, y)
1494 with np.errstate(all='ignore'):
-> 1495 result[mask] = op(xrav, y)
1496 else:
TypeError: must be str, not datetime.timedelta
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-95-771f9e94063d> in <module>()
13 T= pd.DataFrame({"data['duration']":[ "00:00:00" for i in range(3) ]},index=np.random.randint(0,100,3))
14 for it in range(1,7):
---> 15 Time = T +timedelta(hours=1*it)
~\Anaconda3\lib\site-packages\pandas\core\ops.py in f(self, other, axis, level, fill_value)
1527 self = self.fillna(fill_value)
1528
-> 1529 return self._combine_const(other, na_op, try_cast=True)
1530
1531 f.__name__ = op_name
~\Anaconda3\lib\site-packages\pandas\core\frame.py in _combine_const(self, other, func, errors, try_cast)
4774 new_data = self._data.eval(func=func, other=other,
4775 errors=errors,
-> 4776 try_cast=try_cast)
4777 return self._constructor(new_data)
4778
~\Anaconda3\lib\site-packages\pandas\core\internals.py in eval(self, **kwargs)
3685
3686 def eval(self, **kwargs):
-> 3687 return self.apply('eval', **kwargs)
3688
3689 def quantile(self, **kwargs):
~\Anaconda3\lib\site-packages\pandas\core\internals.py in apply(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)
3579
3580 kwargs['mgr'] = self
-> 3581 applied = getattr(b, f)(**kwargs)
3582 result_blocks = _extend_blocks(applied, result_blocks)
3583
~\Anaconda3\lib\site-packages\pandas\core\internals.py in eval(self, func, other, errors, try_cast, mgr)
1420 raise
1421 except Exception as detail:
-> 1422 result = handle_error()
1423
1424 # technically a broadcast error in numpy can 'work' by returning a
~\Anaconda3\lib\site-packages\pandas\core\internals.py in handle_error()
1403 raise TypeError(
1404 'Could not operate {other!r} with block values '
-> 1405 '{detail!s}'.format(other=other, detail=detail)) # noqa
1406 else:
1407 # return the values
TypeError: Could not operate datetime.timedelta(0, 3600) with block values must be str, not datetime.timedelta我期望的结果是：
date time x3 expected output x3 (add) timedelta
10/3/2018 6:15:00 7 10/3/2018 6:15:00
10/3/2018 6:45:00 5 10/3/2018 6:45:00 5 0:00:00
10/3/2018 7:45:00 7 10/3/2018 7:45:00 1:00:00
10/3/2018 9:00:00 7 10/3/2018 8:45:00 2:00:00
10/3/2018 9:25:00 7 10/3/2018 9:30:00 second 5 0:00:00
10/3/2018 9:30:00 5 10/3/2018 9:45:00 3:00:00
10/3/2018 11:00:00 7 10/3/2018 10:30:00 1:00:00
10/3/2018 11:30:00 7 10/3/2018 10:45:00 2:00:00
10/3/2018 13:30:00 7 10/3/2018 10:45:00 4:00:00
10/3/2018 13:50:00 5 10/3/2018 11:30:00 3:00:00
10/3/2018 15:00:00 7 10/3/2018 12:30:00 4:00:00
10/3/2018 15:25:00 7
10/3/2018 16:25:00 7
10/3/2018 18:00:00 5
10/3/2018 19:00:00 7
10/3/2018 19:30:00 7我的csv文件： My csv file
所以这里我想增加我的数据长度，加上这个时间增量。 有人能帮我解决这个错误吗？你知道吗
For the reference
expected output x3 (add) timedelta
10/3/2018 6:15:00
10/3/2018 6:45:00 5 0:00:00
10/3/2018 7:45:00 1:00:00
10/3/2018 8:45:00 2:00:00
10/3/2018 9:30:00 second 5 0:00:00
10/3/2018 9:45:00 3:00:00
10/3/2018 10:30:00 1:00:00
10/3/2018 10:45:00 2:00:00
10/3/2018 10:45:00 4:00:00
10/3/2018 11:30:00 3:00:00
10/3/2018 12:30:00 4:00:00
Here you can till to 10:45:00 I need to give time range (4) after starting the new time alsoTags： inpycoreselfpandasdatalibpackages
我尝试创建没有循环的解决方案：
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