### Navigation

- index
- modules |
- next |
- previous |
- SciPy v0.7 Reference Guide (DRAFT) »
- Integration and ODEs (`scipy.integrate`) »

# scipy.integrate.romb

`scipy.integrate.``romb`(y, dx=1.0, axis=-1, show=False)

  Romberg integration using samples of a function

  Inputs:

  > y - a vector of 2**k + 1 equally-spaced samples of a fucntion dx - the sample spacing. axis - the axis along which to integrate show - When y is a single 1-d array, then if this argument is True

  > > print the table showing Richardson extrapolation from the samples.

  Output: ret

  > ret - The integrated result for each axis.

  See also:

  > quad - adaptive quadrature using QUADPACK romberg - adaptive Romberg quadrature quadrature - adaptive Gaussian quadrature fixed_quad - fixed-order Gaussian quadrature dblquad, tplquad - double and triple integrals simps, trapz - integrators for sampled data cumtrapz - cumulative integration for sampled data ode, odeint - ODE integrators

### Navigation

- index
- modules |
- next |
- previous |
- SciPy v0.7 Reference Guide (DRAFT) »
- Integration and ODEs (`scipy.integrate`) »