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Added inline images. #21

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Added inline images. #21

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5e83ed7
Added inline images.
nickssl Oct 6, 2019
a47c7fa
Merge branch 'master' into master
nickssl Oct 6, 2019
61899f4
Merge branch 'master' of https://github.com/heliophysicsPy/gallery
nickssl May 10, 2020
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1 change: 1 addition & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
.tox/
generated/
_build/
.spyproject/
32 changes: 23 additions & 9 deletions gallery/pyspedas_demo.py
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Expand Up @@ -18,7 +18,7 @@
# in the IDL programming language. For more information on SPEDAS,
# see: http://spedas.org/wiki/
from pyspedas import load_data, gmag_list, subtract_average, version
from pytplot import del_data, get_data, store_data, ylim, tplot, tplot_options, tplot_names
from pytplot import del_data, get_data, store_data, ylim, tplot, options, tplot_options, tplot_names

####################################################################################
# Load and plot THEMIS data
Expand Down Expand Up @@ -54,19 +54,31 @@

####################################################################################
# After working with the data, we can store a new pytplot variable.
# We can store any data in the pytplot object.
# We can also store our own data in the pytplot object.
store_data("tha_new_vel", data={'x': time, 'y': data})

####################################################################################
# Preparing for the plots, we define the y-axis limits.
# Preparing for the plots, we define the y-axis limits for the two panels.
ylim('tha_pos', -23000.0, 81000.0)
ylim('tha_new_vel', -8.0, 12.0)

####################################################################################
# We give a title to the plot and labels for the y-axis panels.
tplot_options('title', 'THEMIS tha position and velocity, 2015-12-31')
options('tha_pos','ytitle','Position')
options('tha_new_vel','ytitle','Velocity')

####################################################################################
# We plot the position and the velocity using the pyqtgraph library (the default).
# Another option is to plot using the bokeh library.
tplot(["tha_pos", "tha_new_vel"])

####################################################################################
# A new window will open, containing the following plot:
#
# .. image:: http://themis.ssl.berkeley.edu/images/pyspedas_demo1.png
# :alt: Themis tha position and velocity
#


####################################################################################
# Load and plot GMAG data
Expand All @@ -82,6 +94,7 @@
# and all GMAG stations, see: http://themis.ssl.berkeley.edu/gmag/gmag_list.php
#
# Get a list of the GMAG stations that belong to the EPO group.
# Internally, this function uses a web service to get a list of the names.
sites = gmag_list(group='epo')

####################################################################################
Expand Down Expand Up @@ -109,12 +122,13 @@
sites_loaded = tplot_names()

####################################################################################
# Plot GMAG and AE index data.
# Use the bokeh library - the plots will appear in the web browser.
# Plot GMAG and AE index data, using the bokeh library.
tplot_options('title', 'EPO GMAG 2015-12-31')
tplot(sites_loaded, bokeh=True)

####################################################################################
# Note: The HTML web page for this example may be missing the plots but this is a
# limitation of the platform for this particular gallery -
# if you run the python code locally, the plots will appear.
# The output will appear in the default web browser:
#
# .. image:: http://themis.ssl.berkeley.edu/images/pyspedas_demo2.png
# :alt: EPO GMAG plot
#