ANCAspect#

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

Bases: GenericTimeSeries

STIX pointing and ephemeris data

The pointing is derived from aspect data in daily housekeeping.

Notes

Invalid aspect solution are possible, use this data cautation. Two of the main reasons for invalid solutions are significant off-pointing and too far from the Sun.

Examples

>>> from stixpy.data import test
>>> from sunpy.timeseries import TimeSeries
>>> import stixpy.timeseries
>>> asp = TimeSeries("https://pub099.cs.technik.fhnw.ch/data/fits/ANC/2022/03/14/ASP/solo_ANC_stix-asp-ephemeris_20220314_V02.fits")
>>> asp
ANCAspect
    <sunpy.time.timerange.TimeRange object at ...
    Start: 2022-03-14 00:00:23
    End:   2022-03-14 23:59:18
    Center:2022-03-14 11:59:51
    Duration:0.999252662037037 days or
        23.982063888888888 hours or
        1438.9238333333333 minutes or
        86335.43 seconds

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 (list, optional) – Columns to plot, defaults to ‘counts’.
**plot_args (dict, optional) – Additional plot keyword arguments that are handed to pandas.DataFrame.plot().

Returns:

axes (Axes) – The plot axes.

ANCAspect#

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