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# 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).

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