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# scipy.stats.gaussian_kde.integrate_gaussian

`gaussian_kde.``integrate_gaussian`(mean, cov)

  Multiply estimated density by a multivariate Gaussian and integrate over the whole space.

  Parameters: | mean : aray_like A 1-D array, specifying the mean of the Gaussian. cov : array_like A 2-D array, specifying the covariance matrix of the Gaussian.
  Returns: | result : scalar The value of the integral.
  Raises: | ValueError If the mean or covariance of the input Gaussian differs from the KDE’s dimensionality.