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# scipy.stats.rv_continuous.expect

`rv_continuous.``expect`(func=None, args=(), loc=0, scale=1, lb=None, ub=None, conditional=False, **kwds)

  calculate expected value of a function with respect to the distribution

  location and scale only tested on a few examples

  Parameters : | all parameters are keyword parameters : func : function (default: identity mapping) Function for which integral is calculated. Takes only one argument. args : tuple argument (parameters) of the distribution lb, ub : numbers lower and upper bound for integration, default is set to the support of the distribution conditional : boolean (False) If true then the integral is corrected by the conditional probability of the integration interval. The return value is the expectation of the function, conditional on being in the given interval.
  Returns : | expected value : float

  Notes

  This function has not been checked for it’s behavior when the integral is not finite. The integration behavior is inherited from integrate.quad.

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