# NOAAIndicesTimeSeries¶

class sunpy.timeseries.NOAAIndicesTimeSeries(data, meta=None, units=None, **kwargs)[source] [edit on github]

NOAA Solar Cycle monthly indices.

Solar activity is measured by a number of different values. The NOAA Solar Weather Prediction Center (SWPC) publishes the following indices. All of these indices are also provided as a 13-month running smoothed value.

• The SWO sunspot number is issued by the NOAA Space Weather Prediction Center (SWPC)
• The RI sunspot number is the official International Sunspot Number and is issued by the Solar Influence Data Analysis Center (SDIC) in Brussels, Belgium.
• The ratio between the SWO and RI indices.
• Radio flux at 10.7 cm is produced by Penticon/Ottawa and the units are in sfu.
• The Ap Geomagnetic Index is produced by the United States Air Force (USAF).

Examples

>>> import sunpy.timeseries
>>> import sunpy.data.sample
>>> noaa = sunpy.timeseries.TimeSeries(sunpy.data.sample.NOAAINDICES_TIMESERIES, source='NOAAIndices')
>>> noaa.peek()


References

Methods Summary

 is_datasource_for(**kwargs) Determines if header corresponds to an NOAA indices timeseries peek([type]) Plots NOAA Indices as a function of time.

Methods Documentation

classmethod is_datasource_for(**kwargs)[source] [edit on github]

Determines if header corresponds to an NOAA indices timeseries

peek(type='sunspot SWO', **plot_args)[source] [edit on github]

Plots NOAA Indices as a function of time. An example is shown below.

Parameters: type (str) – The type of plot required. **plot_args (dict) – Any additional plot arguments that should be used when plotting. fig (Figure) – A plot figure.