Closed PluckZK closed 1 month ago
Yes, time_double accepts formats like "YYYY-DOY" and inteprets them correctly:
from pytplot import time_double
time_double('1970-002')
Out[11]: 86400.0
time_double('1970-002 00:00:30')
Out[12]: 86430.0
2015-09-20 is day 263 of year 2015. Unfortunately, that falls into a data gap in the downloaded coefficient file:
2015 254 12 20 -0.39 -7.34 -1.81 -651.8 37.2 9.5 5.07 216750. -63.0 1 1 0.1447 4.19 0.76 0.70 0.71 1.04 1.49 2.57
2015 268 14 20 2.06 -2.65 2.63 -466.0 -54.4 -12.3 4.99 133877. -8.0 1 1 0.1216 2.13 0.00 0.00 0.00 0.00 0.00 0.00
Thank you very much!
https://github.com/spedas/pyspedas/blob/e0f809c26a3fd81746d5b1006e9407cff3340c26/pyspedas/geopack/get_w_params.py#L69
Can the format of "time_strings = str(int(doy))" be used as input to "time_double" functions?
In fact, if you use [2015-9-20/07:20:00,2015-9-20/08:00:00] as input to the get_w function, you will not get any output of the w parameter.