First importing import astropy.time as t
Input instances for time_string |
Current working of parse_time | Proposed changes to return astropy.Time |
---|---|---|
astropy.Time |
return time_string.datetime |
return time_string |
now |
return datetime.utcnow() |
return t.Time.now() |
pandas.Timeseries |
return time_string.to_pydatetime() |
return t.Time(time_string) |
isinstance(time_string, pandas.Series) and 'datetime64' in str(time_string.dtype) |
return np.array([dt.to_pydatetime() for dt in time_string]) |
return np.array([t.Time(dt) for dt in time_string]) |
datetime |
return time_string |
return t.Time(time_string) |
tuple |
return datetime(*time_string) |
if time = (2018,10,3,10,43,5,6) see code here |
date |
return datetime.combine(time_string, time()) |
return t.Time(datetime.combine(time_string, time())) |
pandas.DatetimeIndex |
return time_string._mpl_repr() |
if time_string = DatetimeIndex(np.array([1,2,34])) return [t.Time(t[tim]) for tim in range(len(time_string))] |
np.datetime64 |
return _parse_dt64(time_string) |
return _parse_dt64_Time(time_string) with modified version of _parse_dt64 discussed later |
date |
return datetime.combine(time_string, time()) |
See Enhancement |
time_format = utime and time_string = <int, float> |
return datetime(1979, 1, 1) + timedelta(0, time_string) |
See Enhancement |