Compute peakiness

[jhidding]

It would be useful to analyse mostly events that show critical rate much faster than in other time periods (not only faster than in piC). => calculate the `peakiness' (for example peak-to-average ratio) of the global signal as an indicator, and report it in the output somehow. (this refers to the envelope of the signal plot, i.e.\ the maximum of the signal at each time; peak-to-average would mean the maximum of the signal at any time and place versus the time mean of the maximum at each point). I can then select the cases with largest peaks first for analysis.

[bathiany]

I will work on this first, in a notebook. Then we can implement this into hypercc and get one measure of peakiness as a number (global, or for each event) in the output.

[bathiany]

Update: All is ready. See example notebook Peakiness.ipynb

Map with peakiness of all grid cells with edges: line 25. Maximum value for this dataset: line 26

@jhidding : Please now implement lines 25 and 26 into hypercc.

Priority: high

[johan]

@bathiany You may want to refer to Johan by his github alias to notify the right person.