Load F_10.7from Multiple Sources

As shown in Loading F10.7, pysatSpaceWeather has several sources that provide F_10.7over different time periods. It can be useful to combine these data sets into a single pysat.Instrument object. This may be done using the combine_f107() function.

import datetime as dt
import matplotlib as mpl
import matplotlib.pyplot as plt

import pysat
import pysatSpaceWeather as py_sw

f107_hist = pysat.Instrument(inst_module=py_sw.instruments.sw_f107,
                             tag='historic', update_files=True)
f107_prel = pysat.Instrument(inst_module=py_sw.instruments.sw_f107,
                             tag='prelim', update_files=True)
f107_fore = pysat.Instrument(inst_module=py_sw.instruments.sw_f107,
                             tag='45day', update_files=True)

# If needed, download the data
f107_hist.download(start=f107_hist.lasp_stime, stop=dt.datetime(2018, 4, 1))
f107_prel.download(start=f107_hist.files.files.index[-1],
                   stop=f107_prel.today())
f107_fore.download(start=f107_fore.today())

# Check the downloaded file range for the historic source
print(f107_hist.files.files.index.min(), f107_hist.files.files.index.max())

This should yield 1947-02-01 00:00:00 2018-04-30 00:00:00. Now, combine the data in these pysat.Instruments using the combine_f107() function twice, after loading the available data

# Load all the data
f107_hist.load(date=f107_hist.lasp_stime,
               end_date=f107_hist.files.files.index.max() +
               dt.timedelta(days=1))
f107_prel.load(fname=f107_prel.files.files[0],
               stop_fname=f107_prel.files.files[-1])
f107_fore.load(date=f107_fore.today())

# Combine the historic sources for all available times
f107 = py_sw.instruments.methods.f107.combine_f107(f107_hist, f107_prel)

# Combine the 45 day measurements and forecast
f107 = py_sw.instruments.methods.f107.combine_f107(f107, f107_fore)

# Check the combined Instrument index
print(f107.index[0], f107.index[-1])

This print statement yields 1947-02-14 00:00:00 2022-10-07 00:00:00, where the end date is roughly 45 days in the future to account for the forecasted data. The combined pysat.Instrument varialbe, f107 can be used to plot the F_10.7over time.

fig = plt.figure()
ax = fig.add_subplot(111)

ax.plot(f107.index, f107['f107'], 'k.', ms=1)
ax.xaxis.set_major_formatter(mpl.dates.DateFormatter('%Y'))
ax.xaxis.set_major_locator(mpl.dates.YearLocator(11))
ax.set_xlim(f107.index[0], f107.index[-1])
ax.set_xlabel('Universal Time (Year C.E.)')
ax.set_ylabel(r'F$_{10.7}$ (sfu)')

# If not running in interactive mode
plt.show()

Load F10.7from Multiple Sources

Load F_10.7from Multiple Sources