我正在尝试删除社交媒体数据集中的时间并更改日期格式，以便在合并两个数据集时它与我的股票数据兼容。
这是我的社交媒体数据集样本：
0 id created_at
1 1 7:51 PM ET Fri,17 July 2020
2 2 7:33 PM ET Fri,17 July 2020
4 4 7:25 PM ET Fri,17 July 2020
5 5 4:24 PM ET Fri,17 July 2020
… … …
3076 3076 10:15 AM ET Tue,26 Dec 2017
3077 3077 11:12 AM ET Thu,20 Sept 2018
3078 3078 7:07 PM ET Fri,22 Dec 2017
3079 3079 7:07 PM ET Fri,22 Dec 2017
3080 3080 6:52 PM ET Fri,22 Dec 2017
我试图让日期看起来像这样：
Date Open High
2017-12-22 2684.22 2685.35
2017-12-26 2679.09 2682.74
2017-12-27 2682.10 2685.64
2017-12-28 2686.10 2687.66
2017-12-29 2689.15 2692.12
这是我尝试过的，但没有奏效：
pd.to_datetime(data['created_at'])
但我得到错误：
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/arrays/datetimes.py in objects_to_datetime64ns(data,dayfirst,yearfirst,utc,errors,require_iso8601,allow_object)
2053 try:
-> 2054 values,tz_parsed = conversion.datetime_to_datetime64(data)
2055 # If tzaware,these values represent unix timestamps,so we
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.datetime_to_datetime64()
TypeError: Unrecognized value type: <class 'str'>
During handling of the above exception,another exception occurred:
ParserError Traceback (most recent call last)
<ipython-input-13-34e0ddb54ab0> in <module>
----> 1 pd.to_datetime(data['created_at'])
~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/tools/datetimes.py in to_datetime(arg,format,exact,unit,infer_datetime_format,origin,cache)
801 result = arg.map(cache_array)
802 else:
--> 803 values = convert_listlike(arg._values,format)
804 result = arg._constructor(values,index=arg.index,name=arg.name)
805 elif isinstance(arg,(ABCDataFrame,abc.MutableMapping)):
~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/tools/datetimes.py in _convert_listlike_datetimes(arg,name,tz,exact)
457 assert format is None or infer_datetime_format
458 utc = tz == "utc"
--> 459 result,tz_parsed = objects_to_datetime64ns(
460 arg,461 dayfirst=dayfirst,~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/arrays/datetimes.py in objects_to_datetime64ns(data,allow_object)
2057 return values.view("i8"),tz_parsed
2058 except (ValueError,TypeError):
-> 2059 raise e
2060
2061 if tz_parsed is not None:
~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/arrays/datetimes.py in objects_to_datetime64ns(data,allow_object)
2042
2043 try:
-> 2044 result,tz_parsed = tslib.array_to_datetime(
2045 data,2046 errors=errors,pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime_object()
pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime_object()
pandas/_libs/tslibs/parsing.pyx in pandas._libs.tslibs.parsing.parse_datetime_string()
~/opt/anaconda3/lib/python3.8/site-packages/dateutil/parser/_parser.py in parse(timestr,parserinfo,**kwargs)
1366 return parser(parserinfo).parse(timestr,**kwargs)
1367 else:
-> 1368 return DEFAULTPARSER.parse(timestr,**kwargs)
1369
1370
~/opt/anaconda3/lib/python3.8/site-packages/dateutil/parser/_parser.py in parse(self,timestr,default,ignoretz,tzinfos,**kwargs)
641
642 if res is None:
--> 643 raise ParserError("Unknown string format: %s",timestr)
644
645 if len(res) == 0:
ParserError: Unknown string format: created_at
谢谢你的帮助:)
