toto.selections.select_by_time

Extract a timeseries by selected a time interval

Parameters

input_array(Panda Obj)

The Panda dataframe.

method: {“min/max time”,”Annual”,”Monthly”,”Seasonal”,”Custom”}

If method == 'min/max time',

the selected timeseries will be between the minimum time and maximum time

If method == 'Annual',

The selected timeseries will be between split between each years

If method == 'Monthly',

The selected timeseries will be between split between each months

If method == 'Seasonal',

The selected timeseries will be between split between each seasons

If method == 'Custom',

The selected timeseries will be between split between each selected months from the list month(s).

minimum timedatetime

The minimum timestamp

maximum timedatetime

The maximum timestamp

month(s)list

list of the month to extract

Examples:

>>> df['selected']=select_by_time.select_by_time(df['signal'].copy(),
args={'minimum time':datetime.datetime(2020,1,1),
    'maximum time':datetime.datetime(2020,2,1),
    'month(s)':[1,2],
    'method':'Annual',
    })
>>> 

toto.selections.select_by_time.select_by_time(input_array, args={'maximum time': <class 'datetime.datetime'>, 'method': {'Annual': False, 'Custom': False, 'Monthly': False, 'Seasonal': False, 'min/max time': True}, 'minimum time': <class 'datetime.datetime'>, 'month(s)': []})