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pandas.rolling_count(arg, window, freq=None, center=False, how=None)

Rolling count of number of non-NaN observations inside provided window.


arg : DataFrame or numpy ndarray-like

window : int

Size of the moving window. This is the number of observations used for calculating the statistic.

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.

center : boolean, default False

Whether the label should correspond with center of window

how : string, default ‘mean’

Method for down- or re-sampling


rolling_count : type of caller


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).