Weather window

This function calculates the averaged number of full windows for data -exceeding specific values during a specific duration (persistence exceedence) -non-exceeding specific values during a specific duration (persistence non-exceedence) Note: if a window overlaps to the next month/season/year, it is assumed to belong to the month/season/year when the window starts.

Parameters

datastr

Name of the column from which to get stats.

args: dict

Dictionnary with the folowing keys:

method: str

It can be persistence exceedence or persistence non-exceedence

Exceedance bins: Min Res Max(optional): list

Minimum, resolution and maximum value of X axis to use

Duration Min Res Max: list

Minimum, resolution and maximum duration to use in hours

folder out: str

Path to save the output

Time blocking: str

if Time blocking=='Annual',

Statistics will be calculated for the whole timeserie

if Time blocking=='Seasonal (South hemisphere)',

Statistics will be calculated for each South hemisphere seasons

if Time blocking=='Seasonal (North hemisphere)',

Statistics will be calculated for each North hemisphere seasons

if Time blocking=='Monthly',

Statistics will be calculated for each month

Examples:

>>> df=tf['test1']['dataframe'].Statistics.weather_window(data='U',args={'time blocking':'Monthly'})
>>> 

Outputs:

Weather_window example

	6	12	18	24	36
>0.2
>0.4
>0.6