pandas.expanding_apply¶
- pandas.expanding_apply(arg, func, min_periods=1, freq=None, args=(), kwargs={})¶
Generic expanding function application.
Parameters : arg : Series, DataFrame
func : function
Must produce a single value from an ndarray input
min_periods : int, default None
Minimum number of observations in window required to have a value (otherwise result is NA).
freq : string or DateOffset object, optional (default None)
Frequency to conform the data to before computing the statistic. Specified as a frequency string or DateOffset object.
args : tuple
Passed on to func
kwargs : dict
Passed on to func
Returns : y : type of input argument
Notes
The freq keyword is used to conform time series data to a specified frequency by resampling the data. This is done with the default parameters of resample() (i.e. using the mean).