NOAAPredictIndicesTimeSeries

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

Bases: sunpy.timeseries.GenericTimeSeries

NOAA Solar Cycle Predicted Progression

The predictions are updated monthly and are produced by ISES. Observed values are initially the preliminary values which are replaced with the final values as they become available.

The following predicted values are available.

Examples

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

References

Methods Summary

is_datasource_for(**kwargs) Determines if header corresponds to an NOAA predict indices timeseries
peek(**plot_args) Plots predicted 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 predict indices timeseries

peek(**plot_args)[source] [edit on github]

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

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

../_images/sunpy-timeseries-NOAAPredictIndicesTimeSeries-1.png
Parameters:**plot_args (dict) – Any additional plot arguments that should be used when plotting.
Returns:fig (Figure) – A plot figure.