Translation Sandbox/en: Difference between revisions
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<languages /> | |||
This page is a place to play with the language translation features without damaging the wiki contents. | This page is a place to play with the language translation features without damaging the wiki contents. | ||
If you want to try your hand at contributing a translation, you should start by reviewing some documentation for the translation extension we're using: | |||
[https://www.mediawiki.org/wiki/Help:Extension:Translate/Translation_example https://www.mediawiki.org/wiki/Help:Extension:Translate/Translation_example] | |||
== Topic == | == Topic == | ||
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== Something with a URL == | == Something with a URL == | ||
Go back to the | Go back to the [https://spedas.org/wiki?title=Main_Page Main Page] | ||
Latest revision as of 08:59, 29 December 2023
This page is a place to play with the language translation features without damaging the wiki contents.
If you want to try your hand at contributing a translation, you should start by reviewing some documentation for the translation extension we're using: https://www.mediawiki.org/wiki/Help:Extension:Translate/Translation_example
Topic
Some important topics in heliophysics include plasma properties, interactions between charged particles and magnetic fields, space weather, and solar activity.
Another topic
SPEDAS has plugins for the MMS, THEMIS, ERG/Arase, and GOES missions, along with many others. It also supports downloading data via NASA's CDAWeb service, and also HAPI (Heliophysics Application Program Interface) servers.
More stuff
PySPEDAS is a Python implementation of SPEDAS, and includes many of the same load routines and analysis tools.
An IDL code example
<syntaxhighlight lang="idl"> pro some_idl_routine
; An IDL routine that does some stuff timespan,'2007-03-23' thm_load_state,probe='a',/get_support tplot,['tha_state_pos','tha_state_vel']
end </syntaxhighlight>
A Python code example
<syntaxhighlight lang="python"> def do_stuff():
from pyspedas import themis from pytplot import tplot themis.state(trange=['2007-03-23','2007-03-24'], probe='a', get_support_data=True) tplot(['tha_state_pos','tha_state_vel'])
</syntaxhighlight>
Something with a URL
Go back to the Main Page