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

funcfunction

A Python function or method of at least three variables in the order (z, y, x).

a, bfloat

The limits of integration in x: a < b

gfunfunction or float

The lower boundary curve in y which is a function taking a single floating point argument (x) and returning a floating point result or a float indicating a constant boundary curve.

hfunfunction or float

The upper boundary curve in y (same requirements as gfun).

qfunfunction or float

The lower boundary surface in z. It must be a function that takes two floats in the order (x, y) and returns a float or a float indicating a constant boundary surface.

rfunfunction or float

The upper boundary surface in z. (Same requirements as qfun.)

argstuple, optional

Extra arguments to pass to func.

epsabsfloat, optional

Absolute tolerance passed directly to the innermost 1-D quadrature integration. Default is 1.49e-8.

epsrelfloat, optional

Relative tolerance of the innermost 1-D integrals. Default is 1.49e-8.

Returns

yfloat

The resultant integral.

abserrfloat

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

nquad

N-dimensional integrals

romb

Integrators for sampled data

simpson

Integrators for sampled data

ode

ODE integrators

odeint

ODE integrators

scipy.special

For coefficients and roots of orthogonal polynomials

Examples

Compute the triple integral of x * y * z, over x ranging from 1 to 2, y ranging from 2 to 3, z ranging from 0 to 1.

>>> from scipy import integrate
>>> f = lambda z, y, x: x*y*z
>>> integrate.tplquad(f, 1, 2, lambda x: 2, lambda x: 3,
...                   lambda x, y: 0, lambda x, y: 1)
(1.8750000000000002, 3.324644794257407e-14)