# pandas.rolling_sum

`pandas.``rolling_sum`(arg, window, min_periods=None, freq=None, center=False, how=None, **kwargs)

  Moving sum.

  Parameters:

  arg : Series, DataFrame

  window : int

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

  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.

  center : boolean, default False

  > Set the labels at the center of the window.

  how : string, default ‘None’

  > Method for down- or re-sampling

  Returns: | y : type of input argument

  Notes

  By default, the result is set to the right edge of the window. This can be changed to the center of the window by setting `center=True`.

  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).