NoRHTimeSeries#

class sunpy.timeseries.sources.NoRHTimeSeries(data, header, units, **kwargs)[source]#

Bases: GenericTimeSeries

Nobeyama Radioheliograph Correlation lightcurve TimeSeries.

Nobeyama Radioheliograph (NoRH) is a radio telescope dedicated to observing the Sun. It consists of 84 parabolic antennas with a 80 cm diameter, sitting on lines of 490 m long in the east/west and of 220 m long in the north/south. It observes the full solar disk at 17 GHz and 34 GHz with a temporal resolution down to 0.1 second resolution (typically 1 second).

Its first observation was in April, 1992 and daily 8-hour observations are available starting June, 1992.

Examples

>>> import sunpy.data.sample  
>>> import sunpy.timeseries
>>> norh = sunpy.timeseries.TimeSeries(sunpy.data.sample.NORH_TIMESERIES, source='NoRH')  
>>> norh.peek()   

References

Methods Summary

`is_datasource_for`(**kwargs)	Determines if header corresponds to a Nobeyama Radioheliograph Correlation `TimeSeries`.
`peek`(*[, title, columns])	Displays the NoRH lightcurve TimeSeries by calling `plot`.
`plot`([axes, columns])	Plot the NoRH lightcurve.

Methods Documentation

classmethod is_datasource_for(**kwargs)[source]#: Determines if header corresponds to a Nobeyama Radioheliograph Correlation TimeSeries.

peek(*, title='Nobeyama Radioheliograph', columns=None, **kwargs)[source]#

Displays the NoRH lightcurve TimeSeries by calling plot.

(Source code, png, hires.png, pdf)

../../_images/sunpy-timeseries-sources-NoRHTimeSeries-1.png

Parameters:

title (str, optional) – The title of the plot. Defaults to “Nobeyama Radioheliograph”.
columns (list[str], optional) – Unused, but there to maintain uniformity among peek methods.
**kwargs (dict) – Additional plot keyword arguments that are handed to plot functions.

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

Plot the NoRH lightcurve.

Parameters:

axes (matplotlib.axes.Axes, optional) – The axes on which to plot the TimeSeries. Defaults to current axes.
columns (list[str], optional) – Unused, but there to maintain uniformity among plot methods.
**kwargs (dict) – Additional plot keyword arguments that are handed to plot functions.

Returns:

Axes – The plot axes.