Temporal#

[2]:

import starepandas
import pystare
import pandas
import astropy.time
import datetime

[11]:

dates = ['2021-09-03', '2021-07-17 11:16']
dates = pandas.to_datetime(dates, format='ISO8601')
df = starepandas.STAREDataFrame({'dates': dates})
df

[11]:

	dates
0	2021-09-03 00:00:00
1	2021-07-17 11:16:00

[12]:

series = df['dates']

[13]:

times = astropy.time.Time(series,
                          scale='utc',
                          format='datetime64')
times.jd1

[13]:

array([2459460., 2459413.])

[14]:

tivs = starepandas.tivs_from_timeseries(df['dates'])

[15]:

# Pystare

[16]:

times = ['2021-09-03', '2021-07-17 11:16']
times = astropy.time.Time(series, scale='utc', format='datetime64')
tivs = pystare.from_julian_date(times.jd1, times.jd2, scale='utc', forward_res=48, reverse_res=48)
tivs

[16]:

array([2276059438861267137, 2275939265676325057])

[17]:

mss = pystare.to_ms_since_epoch_utc(tivs)
dts = [datetime.datetime.utcfromtimestamp(ms/1000) for ms in mss]
[dt.isoformat() for dt in dts]

[17]:

['2021-09-03T00:00:00', '2021-07-17T11:16:00']

[18]:

jd = pystare.to_julian_date(tivs, scale='utc')
times = astropy.time.Time(val=jd[0], val2=jd[1], format='jd')
times.to_datetime()

[18]:

array([datetime.datetime(2021, 9, 3, 0, 0),
       datetime.datetime(2021, 7, 17, 11, 16)], dtype=object)

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