Python xarray CFTimeIndex.to_datetimeindex越界纳秒时间戳

最近，我尝试使用

xarray.CFTimeIndex.to_datetimeindex

函数将HadCM3 NetCDF时间对象中的月近地表气温从过去1000次实验（从公元850年到公元1850年）更改为datetime对象：

xr.CFTimeIndex.to_datetimeindex（tas['time']）

我得到了这个信息：

OutOfBoundsDatetime                       Traceback (most recent call last)
~/anaconda3/envs/tutorial_xarray/lib/python3.7/site-packages/xarray/coding/times.py in cftime_to_nptime(times)
    296             dt = pd.Timestamp(
--> 297                 t.year, t.month, t.day, t.hour, t.minute, t.second, t.microsecond
    298             )

pandas/_libs/tslibs/timestamps.pyx in pandas._libs.tslibs.timestamps.Timestamp.__new__()

pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_to_tsobject()

pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_datetime_to_tsobject()

pandas/_libs/tslibs/np_datetime.pyx in pandas._libs.tslibs.np_datetime.check_dts_bounds()

OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 850-01-16 00:00:00

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
<ipython-input-30-7ed217c97bf1> in <module>
----> 1 xr.CFTimeIndex.to_datetimeindex(tas['time'])

~/anaconda3/envs/tutorial_xarray/lib/python3.7/site-packages/xarray/coding/cftimeindex.py in to_datetimeindex(self, unsafe)
    486         DatetimeIndex(['2000-01-01', '2000-01-02'], dtype='datetime64[ns]', freq=None)
    487         """
--> 488         nptimes = cftime_to_nptime(self)
    489         calendar = infer_calendar_name(self)
    490         if calendar not in _STANDARD_CALENDARS and not unsafe:

~/anaconda3/envs/tutorial_xarray/lib/python3.7/site-packages/xarray/coding/times.py in cftime_to_nptime(times)
    300             raise ValueError(
    301                 "Cannot convert date {} to a date in the "
--> 302                 "standard calendar.  Reason: {}.".format(t, e)
    303             )
    304         new[i] = np.datetime64(dt)

ValueError: Cannot convert date 0850-01-16 00:00:00 to a date in the standard calendar.  Reason: Out of bounds nanosecond timestamp: 850-01-16 00:00:00.

基于，我知道可以用64位整数表示的时间跨度在pandas（）中被限制为大约584年

有人能帮我把这个数据转换成datetime对象吗

---

谢谢

请问您为什么有兴趣将此索引转换为DatetimeIndex？这个限制是使用CFTimeIndex的主要动机之一。@spencerclark啊，我愚蠢的错误……事实上，我想用那个

数据数组

做简单的绘图，但它不适用于CFTimeIndex，所以我将它转换为pandas datetime对象。但是，在我导入nc时间轴模块后，它工作得非常好。因此，我不再需要将其转换为pandas的datetime对象。谢谢你的评论。一切都好@sandyherho；很高兴你把问题解决了@spencerkclark那么，如果你想从多个模型中得到一个集合，而其他模型都有标准的时间索引，你该怎么办？@janchytry确实有跨模型协调日期类型的用例。根据情况，将所有内容转换为cftime日期类型或将所有内容转换为datetime64是有意义的；我必须看更多的细节（最好单独问一个问题）。

<xarray.DataArray 'tas' (time: 12012, lat: 73, lon: 96)>
[84180096 values with dtype=float32]
Coordinates:
  * time     (time) object 0850-01-16 00:00:00 ... 1850-12-16 00:00:00
  * lat      (lat) float64 -90.0 -87.5 -85.0 -82.5 -80.0 ... 82.5 85.0 87.5 90.0
  * lon      (lon) float64 0.0 3.75 7.5 11.25 15.0 ... 345.0 348.8 352.5 356.2
    height   float64 ...
Attributes:
    standard_name:     air_temperature
    long_name:         Near-Surface Air Temperature
    units:             K
    original_name:     mo: m01s03i236
    cell_methods:      time: mean
    cell_measures:     area: areacella
    history:           2013-03-06T13:59:55Z altered by CMOR: Treated scalar d...
    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...

$ pip freeze | grep xarray
xarray==0.15.0