Question

我有一个熊猫数据框，其中以天，分钟和小时为单独的数字。我正在尝试以日期和时间的格式创建一列。我可以使用timedelta函数添加日期和小时，但不能添加分钟。

我研究了各种现有的python代码-但无法弄清楚这里出了什么问题。它适用于3列中的2列，相同的算法不适用于第三列。

数据类型一致
公式相似

df_training['hour'] = df_training['timestamp'].apply(lambda x: x.split(':')[0]).astype('float64')
df_training['min'] = df_training['timestamp'].apply(lambda x: x.split(':')[1]).astype('float64')
df_training['day'] = df_training['day'].astype('float64')

df_training['date_time_2'] = df_training['day'].apply(lambda x: date_base+ timedelta(days = x))
df_training['date_time_2'] = df_training[['date_time_2','hour']].apply(lambda x: x.date_time_2 +                                                                       timedelta(hours = x.hour), axis = 1)```

df_training['date_time_2'] = df_training[['date_time_2','min']].apply(lambda x: x.date_time_2.timedelta(minutes = x.min), axis = 1)

获得错误消息

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-72-0ec3568f21b6> in <module>
----> 1 df_training['date_time_2'] = df_training[['date_time_2','min']].apply(lambda x: x.date_time_2.timedelta(minutes = x.min), axis = 1)

~/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in apply(self, func, axis, broadcast, raw, reduce, result_type, args, **kwds)
   6485                          args=args,
   6486                          kwds=kwds)
-> 6487         return op.get_result()
   6488 
   6489     def applymap(self, func):

~/anaconda3/lib/python3.7/site-packages/pandas/core/apply.py in get_result(self)
    149             return self.apply_raw()
    150 
--> 151         return self.apply_standard()
    152 
    153     def apply_empty_result(self):

~/anaconda3/lib/python3.7/site-packages/pandas/core/apply.py in apply_standard(self)
    255 
    256         # compute the result using the series generator
--> 257         self.apply_series_generator()
    258 
    259         # wrap results

~/anaconda3/lib/python3.7/site-packages/pandas/core/apply.py in apply_series_generator(self)
    284             try:
    285                 for i, v in enumerate(series_gen):
--> 286                     results[i] = self.f(v)
    287                     keys.append(v.name)
    288             except Exception as e:

<ipython-input-72-0ec3568f21b6> in <lambda>(x)
----> 1 df_training['date_time_2'] = df_training[['date_time_2','min']].apply(lambda x: x.date_time_2.timedelta(minutes = x.min), axis = 1)

AttributeError: ("'Timestamp' object has no attribute 'timedelta'", 'occurred at index 0')

无法在python中使用apply-lambda函数执行timedelta函数

0 个答案: