xarray.CFTimeIndex.to_datetimeindex#

CFTimeIndex.to_datetimeindex(unsafe=False, time_unit=None)[source] #

If possible, convert this index to a pandas.DatetimeIndex.

Parameters:

• unsafe (bool) – Flag to turn off calendar mismatch warnings (default False).

• time_unit (str) – Time resolution of resulting DatetimeIndex. Can be one of "s", "ms", "us", or "ns" (default "ns").

Returns:

pandas.DatetimeIndex

Raises:

ValueError – If the CFTimeIndex contains dates that are not possible in the standard calendar or outside the range representable by the specified time_unit.

Warns:

RuntimeWarning – If converting from a non-standard calendar, or a Gregorian calendar with dates prior to the reform (1582年10月15日).

Warning

Note that for non-proleptic Gregorian calendars, this will change the calendar type of the index. In that case the result of this method should be used with caution.

Examples

>>> times = xr.date_range(
...  "2000", periods=2, calendar="gregorian", use_cftime=True
... )
>>> times
CFTimeIndex([2000年01月01日 00:00:00, 2000年01月02日 00:00:00],
 dtype='object', length=2, calendar='standard', freq=None)
>>> times.to_datetimeindex(time_unit="ns")
DatetimeIndex(['2000年01月01日', '2000年01月02日'], dtype='datetime64[ns]', freq=None)

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