QLVariance#

class stixpy.timeseries.QLVariance(data, meta=None, units=None, **kwargs)[source]#

Bases: GenericTimeSeries

Quicklook variance time series

Variance of counts is calculated for one energy range over counts summed from selected detectors and pixels in 40 accumulators, each accumulating for 0.1s. These accumulators are double buffered with depth of 32bits and approximate data rate of 1 Mhz.

Examples

>>> from stixpy.data import test
>>> from sunpy.timeseries import TimeSeries
>>> from stixpy.timeseries.quicklook import QLLightCurve
>>> ql_var = TimeSeries("https://pub099.cs.technik.fhnw.ch/fits/L1/2020/05/06/QL/"
...                     "solo_L1_stix-ql-variance_20200506_V02.fits")
>>> ql_var
<stixpy.timeseries.quicklook.QLVariance object at ...>
SunPy TimeSeries
----------------
Observatory:                 SOLO/STIX
Instrument:              STIX
Channel(s):              timedel<br>control_index<br>4.0-20.0<br>4.0-20.0_err
Start Date:              2020-05-06 00:00:02
End Date:             2020-05-06 23:59:58
Center Date:                 2020-05-06 11:59:59
Resolution:          4.015 s
Samples per Channel:                 21516
Data Range(s):               timedel         0.00E+00<br>control_index   6.00E+00<br>4.0-20.0        4.93E+00<br>4.0-20.0_err    5.87E+02
Units:               ct<br>s<br>None
                         timedel  control_index  4.0-20.0  4.0-20.0_err
time
2020-05-06 00:00:01.531      400              2  0.419844     73.901962
2020-05-06 00:00:05.531      400              2  0.169844     36.952671
2020-05-06 00:00:09.531      400              2  0.154844     18.479719
2020-05-06 00:00:13.531      400              2  1.359844    295.603607
2020-05-06 00:00:17.531      400              2  0.114844     18.479719
...                          ...            ...       ...           ...
2020-05-06 23:59:41.531      400              1  0.919844    147.802231
2020-05-06 23:59:45.531      400              1  0.919844    147.802231
2020-05-06 23:59:49.531      400              1  2.159844    295.603607
2020-05-06 23:59:53.531      400              1  0.094844     18.479719
2020-05-06 23:59:57.531      400              1  0.154844     18.479719

[21516 rows x 4 columns]

Methods Summary

`is_datasource_for`(**kwargs)	Determines if the file corresponds to a STIX QL LightCurve `TimeSeries`.
`plot`([axes, columns])	Show a plot of the data.

Methods Documentation

classmethod is_datasource_for(**kwargs)[source]#: Determines if the file corresponds to a STIX QL LightCurve TimeSeries.

plot(axes=None, columns=None, **plot_args)[source]#

Show a plot of the data.

Parameters:

axes (Axes, optional) – If provided the image will be plotted on the given axes. Defaults to None, so the current axes will be used.
columns – Columns to plot, defaults to ‘variance’.
**plot_args (dict, optional) – Additional plot keyword arguments that are handed to pandas.DataFrame.plot().

Returns:

axes (Axes) – The plot axes.

QLVariance#

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