A simple crib sheet for loading and plotting Arase satellite data¶

(latest updated: Mar., 2024)

This notebook shows how to load and plot Arase satellite data with pySPEDAS and pyTplot.

Please refer to the following website for the details of the data.

https://ergsc.isee.nagoya-u.ac.jp/data_info/erg.shtml.en

Get started¶

If you are using the Google Colaboratory and have not had the PySPEDAS module installed, please run the following !pip install pyspedas command to get it ready. If you run your own Python session on your local PC, you have to install the PySPEDAS module beforehand, with the same pip command (without "!").

The second pip command with a github URL is to install the bleeding-edge distribution of the ERG submodule developed by ERG-SC. This distribution always delivers the latest development version of only the ERG-SC plug-in module for ERG satellite and ground data. The downside, however, is that some modules are in an highly experimental phase and not fully tested, possibly containing unresolved bugs. You should use it at your own risk. Because this module is installed as ergpyspedas module, you can load it with import ergpyspedas.

If you would like to use the stable distribution of the ERG-SC submodule, you only have to install the official PySPEDAS module using the first pip command: PySPEDAS always contain a stable version of the ERG-SC plug-in. So just skip the second one.

In [1]:
!pip install pyspedas
!pip install git+https://github.com/ergsc-devel/pyspedas_plugin.git

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Installing collected packages: isodate, cftime, cdflib, netCDF4, geopack, cdasws, hapiclient, viresclient, pytplot-mpl-temp, pyspedas
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The following commands import some necessary modules for loading and plotting the data.

In [2]:
import pyspedas
import pytplot
from pytplot.tplot import tplot     # As a shortcut for pytplot.tplot()

For example, the data-load module for the MGF data can be imported with the following command:

In [3]:
from pyspedas.erg import mgf

Basic commands of pyTplot and pySPEDAS¶

With MGF data, let us introduce some basic commands of pyTplot and pySPEDAS, which are used commonly for loading and visualizing data. Also see the official document of the pyTplot module at:

https://pytplot.readthedocs.io/en/latest/index.html

Load data and plot them with "tplot"¶

In [4]:
from pyspedas.erg import mgf
tr=['2017-09-07', '2017-09-09']  # Set time range to load MGF data.
vars = mgf( trange=tr )          # load MGF Lv.2 8-s data for 7-9 September, 2017.
tplot('erg_mgf_l2_mag_8sec_sm' ) # Plot MGF Lv.2 8-s data.

11-Mar-24 09:03:17: Downloading remote index: https://ergsc.isee.nagoya-u.ac.jp/data/ergsc/satellite/erg/mgf/l2/8sec/2017/09/
11-Mar-24 09:03:18: Downloading https://ergsc.isee.nagoya-u.ac.jp/data/ergsc/satellite/erg/mgf/l2/8sec/2017/09/erg_mgf_l2_8sec_20170907_v03.04.cdf to erg_data/satellite/erg/mgf/l2/8sec/2017/09/erg_mgf_l2_8sec_20170907_v03.04.cdf
11-Mar-24 09:03:19: Download complete: erg_data/satellite/erg/mgf/l2/8sec/2017/09/erg_mgf_l2_8sec_20170907_v03.04.cdf
11-Mar-24 09:03:20: Downloading https://ergsc.isee.nagoya-u.ac.jp/data/ergsc/satellite/erg/mgf/l2/8sec/2017/09/erg_mgf_l2_8sec_20170908_v03.04.cdf to erg_data/satellite/erg/mgf/l2/8sec/2017/09/erg_mgf_l2_8sec_20170908_v03.04.cdf
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**************************************************************************
Exploration of Energization and Radiation in Geospace (ERG) Magnetic Field Experiment (MGF) Level 2 spin-averaged magnetic field data

Information about ERG MGF

PI:  Ayako Matsuoka
Affiliation: Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwake Cho, Sakyo-ku Kyoto 606-8502, Japan

RoR of ERG project common: https://ergsc.isee.nagoya-u.ac.jp/data_info/rules_of_the_road.shtml.en
RoR of MGF L2: https://ergsc.isee.nagoya-u.ac.jp/mw/index.php/ErgSat/Mgf
Contact: erg_mgf_info at isee.nagoya-u.ac.jp
**************************************************************************

11-Mar-24 09:03:22: <frozen importlib._bootstrap>:914: ImportWarning: _PyDrive2ImportHook.find_spec() not found; falling back to find_module()

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Plot multiple tplot variables verticaly in a row on a window¶

In [5]:
tplot(['erg_mgf_l2_mag_8sec_sm', 'erg_mgf_l2_mag_8sec_gsm'])

Limit the time range of a plot: timespan()¶

Notes:Because the 'timespan' module does not work in the older version of PySPEDAS, please install the latest version of PySPEDAS if you use the older version.

In [6]:
pytplot.timespan( '2017-09-07 20:00:00', 6, keyword='hours') # Set time span to create the plot of MGF Lv.2 8-s data.
tplot(['erg_mgf_l2_mag_8sec_sm', 'erg_mgf_l2_mag_8sec_gsm'])

Change the vertical scale of a plot: ylim¶

In [7]:
pytplot.options( 'erg_mgf_l2_mag_8sec_sm', 'yrange', [-200., 200.] ) # Set the vertical scale to create the plot of MGF Lv.2 8-s data.
#pytplot.ylim( 'erg_mgf_l2_mag_8sec_sm', -200., 200. ) # There is a bug in pytplot.ylim. It will be fixed.
tplot(['erg_mgf_l2_mag_8sec_sm'])

Change the title of the vertical axis: options()¶

In [ ]:
pytplot.options( 'erg_mgf_l2_mag_8sec_sm', 'ytitle', 'MGF Lv.2 8 s') # Change the title of the vertical axis.
tplot(['erg_mgf_l2_mag_8sec_sm'])

Change the font size of axes: tplot_options()¶

In [ ]:
pytplot.tplot_options('axis_font_size', 15) # Change the font size of axes. The default is 10.
tplot(['erg_mgf_l2_mag_8sec_sm'])