问题描述
示例数据
+---------+------------------------+
| | date |
+---------+------------------------+
| 0 | 2020-12-31 00:00:00 |
| 1 | 2020-12-31 00:00:00 |
| 2 | 2020-12-31 00:00:00 |
| 3 | 2020-06-11 00:00:00 |
| 4 | 2020-03-10 00:00:00 |
| 172588 | 2020-03-05 00:00:00 |
| 172589 | 2020-03-05 00:00:00 |
| 172590 | 2020-01-27 00:00:00 |
| 172591 | 2020-01-20 00:00:00 |
| 172592 | 2020-01-07 00:00:00 |
+---------+------------------------+
错误
df["date"] = pd.to_datetime(df["date"],errors="coerce").dt.strftime("%Y-%m-%d")
产生以下错误:
~\miniconda3\lib\site-packages\pandas\core\tools\datetimes.py in to_datetime(arg,errors,dayfirst,yearfirst,utc,format,exact,unit,infer_datetime_format,origin,cache)
799 cache_array = _maybe_cache(arg,cache,convert_listlike)
800 if not cache_array.empty:
--> 801 result = arg.map(cache_array)
802 else:
803 values = convert_listlike(arg._values,format)
~\miniconda3\lib\site-packages\pandas\core\series.py in map(self,arg,na_action)
3968 dtype: object
3969 """
-> 3970 new_values = super()._map_values(arg,na_action=na_action)
3971 return self._constructor(new_values,index=self.index).__finalize__(
3972 self,method="map"
~\miniconda3\lib\site-packages\pandas\core\base.py in _map_values(self,mapper,na_action)
1129 values = self._values
1130
-> 1131 indexer = mapper.index.get_indexer(values)
1132 new_values = algorithms.take_1d(mapper._values,indexer)
1133
~\miniconda3\lib\site-packages\pandas\core\indexes\base.py in get_indexer(self,target,method,limit,tolerance)
2984
2985 if not self.is_unique:
-> 2986 raise InvalidindexError(
2987 "Reindexing only valid with uniquely valued Index objects"
2988 )
InvalidindexError: Reindexing only valid with uniquely valued Index objects
我尝试了什么
pd.to_datetime producing "Reindexing only valid with uniquely valued Index objects"
Resolving Reindexing only valid with uniquely valued Index objects
为什么不一样
解决方法
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