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# pandas.rolling_corr_pairwise

`pandas.``rolling_corr_pairwise`(df1, df2=None, window=None, min_periods=None, freq=None, center=False)

  Deprecated. Use rolling_corr(..., pairwise=True) instead.

  Pairwise moving sample correlation

  Parameters : | df1 : DataFrame df2 : 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 : Panel whose items are df1.index values

  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).

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