Common statistics

Extract statistics from a Panda dataframe column

Parameters

magstr

Name of the column from which to get stats. Can be a list for extracting stats from multilple columns.

drrstr, optional

Column name representing the directions.

args: dict

Dictionnary with the folowing keys:

minimum occurrence (main direction) [%]: int

Use to calculate the main direction. Main direction is when occurence>= Minimum occurrence. Default is 15

folder out: str

Path to save the output

time blocking: str

if time blocking=='yearly',

Statistics will be calculated for the whole timeserie

if time blocking=='south hemisphere(Summer/Winter)',

Statistics will be calculated for South hemisphere summer and winter seasons

if time blocking=='south hemisphere 4 seasons',

Statistics will be calculated for each South hemisphere seasons

if time blocking=='north hemishere(Summer/Winter)',

Statistics will be calculated for North hemisphere summer and winter seasons

if time blocking=='north hemisphere 4 seasons',

Statistics will be calculated for each North hemisphere seasons

if time blocking=='north hemisphere moosoon(SW,NE,Hot season)',

Statistics will be calculated for the North hemisphere moonsoon seasons

stats: str

string containing the name of the stats to do (must be numpy function) exemple: n min max mean std [1,5,10,50,90,95,99], where:

• n is for number of sample

• Put exceedence values in []

Examples:

>>> df=tf['test1']['dataframe'].Statistics.common_stats(mag='U',drr='drr',args={'time blocking':'Yearly'})
>>> 

Outputs:

Common statistics example

	N	min	max	mean	std	P1	P90	Main Direction
June
July
Winter
Total