pandas timedelta resample周失败

Question

实际问题

正如在这个显示的小例子中，我尝试每周重新采样一个pandas数据帧：

import datetime
import pandas as pd

df = pd.DataFrame([{
    'A' : datetime.datetime.now() - datetime.datetime.now(),
    'B' : 2
},{
    'A' : datetime.datetime.now() - datetime.datetime.now(),
    'B' : 3
}])

df = df.set_index('A')

df.resample('W', how="mean")

这会引发AttributeError：

AttributeError: 'Week' object has no attribute 'nanos'

（注意：如果我按"D"重新采样，则问题不会发生）

如果我将索引转换为日期时间：

df.index = pd.to_datetime(df.index.values)
df.resample('W', how="mean")

重新取样也有效 问题：是否有大熊猫timedelta类型不依赖纳秒？ 或者：您是否比datetime利用timedelta更优雅？

完整跟踪：

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Library/Python/2.7/site-packages/pandas/core/generic.py", line 3266, in resample
    return sampler.resample(self).__finalize__(self)
  File "/Library/Python/2.7/site-packages/pandas/tseries/resample.py", line 98, in resample
    rs = self._resample_timestamps(kind='timedelta')
  File "/Library/Python/2.7/site-packages/pandas/tseries/resample.py", line 272, in _resample_timestamps
    self._get_binner_for_resample(kind=kind)
  File "/Library/Python/2.7/site-packages/pandas/tseries/resample.py", line 122, in _get_binner_for_resample
    self.binner, bins, binlabels = self._get_time_delta_bins(ax)
  File "/Library/Python/2.7/site-packages/pandas/tseries/resample.py", line 236, in _get_time_delta_bins
    name=ax.name)
  File "/Library/Python/2.7/site-packages/pandas/tseries/tdi.py", line 167, in __new__
    closed=closed)
  File "/Library/Python/2.7/site-packages/pandas/tseries/tdi.py", line 235, in _generate
    index = _generate_regular_range(start, end, periods, offset)
  File "/Library/Python/2.7/site-packages/pandas/tseries/tdi.py", line 895, in _generate_regular_range
    stride = offset.nanos
AttributeError: 'Week' object has no attribute 'nanos'

版本

>>> pd.__version__
'0.16.2'
>>> np.__version__
'1.10.1'

Answer 1

我认为不同之处在于pandas使用numpy的datetime64而python datetime类则不同。当你打电话

df.index = pd.to_datetime(df.index.values)

您正在从您创建的datetime.datetime对象转换为重新采样的numpy.datetime64对象作为参数。