pandas.rolling_count¶
- pandas.rolling_count(arg, window, freq=None, center=False, how=None)¶
- Rolling count of number of non-NaN observations inside provided window. - Parameters: - 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 - Returns: - rolling_count : type of caller - 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).