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# scipy.integrate.tplquad

`scipy.integrate.``tplquad`(func, a, b, gfun, hfun, qfun, rfun, args=(), epsabs=1.49e-08, epsrel=1.49e-08)

  Compute a triple (definite) integral.

  Return the triple integral of func(z, y, x) from x=a..b, y=gfun(x)..hfun(x), and z=qfun(x,y)..rfun(x,y)

  Parameters : | func : function A Python function or method of at least three variables in the order (z, y, x). (a,b) : tuple The limits of integration in x: a < b gfun : function The lower boundary curve in y which is a function taking a single floating point argument (x) and returning a floating point result: a lambda function can be useful here. hfun : function The upper boundary curve in y (same requirements as gfun). qfun : function The lower boundary surface in z. It must be a function that takes two floats in the order (x, y) and returns a float. rfun : function The upper boundary surface in z. (Same requirements as qfun.) args : Arguments Extra arguments to pass to func3d. epsabs : float, optional Absolute tolerance passed directly to the innermost 1-D quadrature integration. Default is 1.49e-8. epsrel : float, optional Relative tolerance of the innermost 1-D integrals. Default is 1.49e-8.
  Returns : | y : float The resultant integral. abserr : float An estimate of the error.

  See also

  `quad`
    Adaptive quadrature using QUADPACK
  `quadrature`
    Adaptive Gaussian quadrature
  `fixed_quad`
    Fixed-order Gaussian quadrature
  `dblquad`
    Double integrals
  `romb`
    Integrators for sampled data
  `simps`
    Integrators for sampled data
  `ode`
    ODE integrators
  `odeint`
    ODE integrators
  `scipy.special`
    For coefficients and roots of orthogonal polynomials

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