Note
Click here to download the full example code
An example to show Sunpy’s TimeSeries in HelioPy.
For more information on TimeSeries, see http://docs.sunpy.org/en/stable/guide/data_types/timeseries.html
For more information on AstroPy Units, see http://docs.astropy.org/en/stable/units/
Import modules
import heliopy.data.ulysses as ulysses
import matplotlib.pyplot as plt
from datetime import datetime
Set up support for plotting data with units
from astropy.visualization import quantity_support
quantity_support()
Load data. In this example we use Ulysses data.
starttime = datetime(1993, 1, 1, 0, 0, 0)
endtime = datetime(1993, 2, 1, 0, 0, 0)
timeseries_data = ulysses.swics_abundances(starttime, endtime)
Out:
Creating new directory /home/docs/heliopy/data/ulysses/swics
Downloading http://ufa.esac.esa.int/ufa-sl-server/data-action?PROTOCOL=HTTP&PRODUCT_TYPE=ALL&FILE_NAME=uswichst93.dat&FILE_PATH=/ufa/HiRes/data/swics&/uswichst93.dat
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timeseries_data is a TimeSeries data type. The .index attribute gets the time index of the data the .quantity() method can be used to extract data with units attached
print(timeseries_data.data.keys())
fig, axs = plt.subplots(2, 1, sharex=True)
axs[0].plot(timeseries_data.index, timeseries_data.quantity('VEL_ALPHA'))
ion_ratios = ['RAT_C6_C5', 'RAT_O7_O6', 'RAT_FE_O']
for r in ion_ratios:
axs[1].plot(timeseries_data.index, timeseries_data.quantity(r), label=r)
axs[1].set_yscale('log')
axs[1].legend()
fig.autofmt_xdate()
plt.show()
Out:
Index(['VEL_ALPHA', 'RAT_C6_C5', 'RAT_O7_O6', 'RAT_FE_O', 'CHARGE_FE',
'N_CYC'],
dtype='object')
Total running time of the script: ( 0 minutes 1.696 seconds)