Konvertieren von cftime.datetimejulian in datetime ⇐ Python

[Anonymous]

Ich versuche, ein Xarray Datenarray in einen Pandas -Datenfreame für ein maschinelles Lernprojekt zu konvertieren. Die pandas to_datetime () Methode. Vorschläge? Danke. < /p>

Code: Select all

nor_xr.time


array([cftime.DatetimeJulian(2015, 3, 31, 0, 0, 0, 0, 0, 90),
cftime.DatetimeJulian(2018, 12, 31, 0, 0, 0, 0, 6, 365)], dtype=object)
Coordinates:
* time     (time) object 2015-03-31 00:00:00 ... 2018-12-31 00:00:00
Attributes:
standard_name:  time
axis:           T

nor_df = nor_xr.to_dataframe().reset_index()
nor_df.head()

time
0   2015-03-31 00:00:00
1   2015-04-01 00:00:00

pd.to_datetime(nor_df.time)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
 in 
2
3 #|nor_df.time.unique()
----> 4 pd.to_datetime(nor_df.time)

~\AppData\Local\Continuum\anaconda3A\lib\site-packages\pandas\core\tools\datetimes.py in to_datetime(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin, cache)
449         else:
450             from pandas import Series
--> 451             values = _convert_listlike(arg._values, True, format)
452             result = Series(values, index=arg.index, name=arg.name)
453     elif isinstance(arg, (ABCDataFrame, MutableMapping)):

~\AppData\Local\Continuum\anaconda3A\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
366                     dayfirst=dayfirst,
367                     yearfirst=yearfirst,
--> 368                     require_iso8601=require_iso8601
369                 )
370

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()

TypeError:  is not convertible to datetime