series : TimeSeries
Series to convert. Skip this parameter if you are calling this as
a method of the TimeSeries object instead of the module function.
freq : freq_spec
Frequency to convert the TimeSeries to. Accepts any valid frequency
specification (string or integer)
func : function, optional
When converting a series to a lower frequency, the func
parameter to perform a calculation on each period of values
to aggregate results.
For example, when converting a daily series to a monthly series, use
numpy.ma.mean to get a series of monthly averages.
If the first or last value from a period, the functions
first_unmasked_val and
last_unmasked_val should be used instead.
If func is not given, the output series group the points
of the initial series that share the same new date. Thus, if the
initial series has a daily frequency and is 1D, the output series is
2D.
position : {‘END’, ‘START’}, optional
When converting a series to a higher frequency, use this parameter to
determine where the points should fall in the new period.
For example, when converting a monthly series to daily, using
position=’START’ will cause the values to fall on the first day of
each month (with all other values being masked).
*args : {extra arguments for func parameter}, optional
Mandatory parameters of the func function.
**kwargs : {extra keyword arguments for func parameter}, optional
Optional keyword parameters of the func function.
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