Question

我在数据帧上获得了以下索引：

data extracted Index(['2014-06-30 00:00:00.0', '2014-07-07 00:00:00.0',
       '2014-08-11 00:00:00.0', '2014-08-18 00:00:00.0',
       '2014-08-25 00:00:00.0', '2014-09-08 00:00:00.0',
       '2014-09-22 00:00:00.0', '2014-09-29 00:00:00.0',
       '2014-10-06 00:00:00.0', '2014-10-27 00:00:00.0',
       '2014-11-24 00:00:00.0', '2014-12-15 00:00:00.0',
       '2014-12-29 00:00:00.0', '2015-01-05 00:00:00.0',
       '2015-01-19 00:00:00.0', '2015-01-26 00:00:00.0',
       '2015-02-02 00:00:00.0', '2015-02-16 00:00:00.0',
       '2015-02-23 00:00:00.0', '2015-04-13 00:00:00.0',
       '2015-04-20 00:00:00.0', '2015-05-04 00:00:00.0',
       '2015-05-25 00:00:00.0', '2015-06-01 00:00:00.0',
       '2015-06-15 00:00:00.0', '2015-06-22 00:00:00.0',
       '2015-06-29 00:00:00.0', '2015-07-13 00:00:00.0',
       '2015-07-20 00:00:00.0', '2015-08-17 00:00:00.0',
       '2015-08-24 00:00:00.0', '2015-08-31 00:00:00.0',
       '2015-09-07 00:00:00.0', '2015-10-05 00:00:00.0',
       '2015-10-12 00:00:00.0', '2015-10-19 00:00:00.0',
       '2015-11-09 00:00:00.0', '2015-11-16 00:00:00.0',
       '2015-11-30 00:00:00.0', '2016-01-18 00:00:00.0',
       '2016-02-01 00:00:00.0', '2016-02-15 00:00:00.0',
       '2016-02-29 00:00:00.0', '2016-03-14 00:00:00.0',
       '2016-04-04 00:00:00.0', '2016-04-11 00:00:00.0',
       '2016-04-25 00:00:00.0', '2016-05-16 00:00:00.0',
       '2016-05-30 00:00:00.0', '2016-06-20 00:00:00.0',
       '2016-06-27 00:00:00.0', '2016-07-18 00:00:00.0',
       '2016-08-01 00:00:00.0', '2016-08-15 00:00:00.0',
       '2016-08-22 00:00:00.0', '2016-09-12 00:00:00.0',
       '2016-10-03 00:00:00.0', '2016-11-07 00:00:00.0',
       '2016-11-14 00:00:00.0', '2016-11-21 00:00:00.0',
       '2016-12-05 00:00:00.0', '2016-12-19 00:00:00.0', 'DATE'],
      dtype='object', name='DATE')

我想在星期一对此数据帧索引进行每周重新采样，因此我需要将它们转换为日期时间索引：

data = pd.read_csv('statistic.csv', 
parse_dates=True, index_col=['DATE'], low_memory=False)
data[['QUANTITY']] = data[['QUANTITY']].apply(pd.to_numeric, errors='coerce')
data_extracted = data.groupby(['DATE','ARTICLENO']) 
['QUANTITY'].sum().unstack()
data_extracted = data_extracted.fillna(value=np.nan)
data_extracted.index = pd.to_datetime(data_extracted.index)

当我尝试如上所述转换索引时，出现错误：

ValueError: Unknown string format

我认为这是最后一个条目（“ DATE”）。我该如何删除呢？ data_extracted.index[:-1]？如何转换为每周系列？我知道.resample('W-MON')，但了解一些错误和意外行为。此外，我的数据不是固定距离的，每个星期一都有数据，但不是每7天就有一次。

Answer 1

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PandasDataframe to_datetime错误

1 个答案: