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# scipy.integrate.romb

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

  Romberg integration using samples of a function.

  Parameters : | y : array_like A vector of `2**k + 1` equally-spaced samples of a function. dx : array_like, optional The sample spacing. Default is 1. axis : array_like?, optional The axis along which to integrate. Default is -1 (last axis). show : bool, optional When y is a single 1-D array, then if this argument is True print the table showing Richardson extrapolation from the samples. Default is False.
  Returns : | ret : array_like? The integrated result for each axis.

  See also

  `quad`, `romberg`, `quadrature`, `fixed_quad`, `dblquad`, `tplquad`, `simps`, `trapz`, `cumtrapz`, `ode`, `odeint`

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