Speasy

A simple Julia wrapper around Speasy, a Python package to deal with main Space Physics WebServices.

Features

• Integration with DimensionalData (recommended), TimeseriesToolsExt, TimeSeries, and Makie.

Installation

using Pkg
Pkg.add("https://github.com/Beforerr/Speasy.jl")

Examples

using Speasy
const spz = speasy()

get_data("amda/imf", "2016-6-2", "2016-6-5")

# Dynamic inventory
amda_tree = spz.inventories.data_tree.amda
get_data(amda_tree.Parameters.ACE.MFI.ace_imf_all.imf, "2016-6-2", "2016-6-5") 

# More complex requests
products = [
    spz.inventories.tree.amda.Parameters.Wind.SWE.wnd_swe_kp.wnd_swe_vth,
    spz.inventories.tree.amda.Parameters.Wind.SWE.wnd_swe_kp.wnd_swe_pdyn,
    spz.inventories.tree.amda.Parameters.Wind.SWE.wnd_swe_kp.wnd_swe_n,
    spz.inventories.tree.cda.Wind.WIND.MFI.WI_H2_MFI.BGSE,
    spz.inventories.tree.ssc.Trajectories.wind,
]
intervals = [["2010-01-02", "2010-01-02T10"], ["2009-08-02", "2009-08-02T10"]]
get_data(products, intervals)

Note

It is advisable to load this package before any others, as it relies on OpenSSL underpinnings. Compatibility issues may arise between Python and Julia if it is not prioritized accordingly.