Notebook

Imports¶

In [1]:

import pyaurorax
import datetime
import pprint

Get availability for ephemeris data¶

In [5]:

# set parameters
start_date = datetime.datetime(2019, 1, 1)
end_date = datetime.date(2019, 1, 10)
program = "swarm"
platform = "swarma"
instrument_type = "footprint"
print("%-18s%s" % ("Start Date:", start_date.strftime("%Y-%m-%d")))
print("%-18s%s" % ("End Date:",end_date.strftime("%Y-%m-%d")))
print("%-18s%s" % ("Program:", program))
print("%-18s%s" % ("Platform:", platform))
print("%-18s%s" % ("Instrument Type:", instrument_type))

Start Date:       2019-01-01
End Date:         2019-01-10
Program:          swarm
Platform:         swarma
Instrument Type:  footprint

In [8]:

# get availability
availability = pyaurorax.availability.ephemeris(start_date,
                                                end_date,
                                                program=program,
                                                platform=platform,
                                                instrument_type=instrument_type,
                                                format=pyaurorax.FORMAT_BASIC_INFO)
print(availability)

[AvailabilityResult(data_source=DataSource(identifier=3, program='swarm', platform='swarma', instrument_type='footprint', source_type='leo', display_name='Swarm A'), available_data_products=None, available_ephemeris={'2019-01-01': 1440, '2019-01-02': 1440, '2019-01-03': 1440, '2019-01-04': 1440, '2019-01-05': 1440, '2019-01-06': 1440, '2019-01-07': 1440, '2019-01-08': 1440, '2019-01-09': 1440, '2019-01-10': 1440, '2019-01-11': 1440})]

In [12]:

pprint.pprint(availability[0].__dict__)

{'available_data_products': None,
 'available_ephemeris': {'2019-01-01': 1440,
                         '2019-01-02': 1440,
                         '2019-01-03': 1440,
                         '2019-01-04': 1440,
                         '2019-01-05': 1440,
                         '2019-01-06': 1440,
                         '2019-01-07': 1440,
                         '2019-01-08': 1440,
                         '2019-01-09': 1440,
                         '2019-01-10': 1440,
                         '2019-01-11': 1440},
 'data_source': DataSource(identifier=3, program='swarm', platform='swarma', instrument_type='footprint', source_type='leo', display_name='Swarm A')}