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# scipy.stats.rvs_ratio_uniforms

scipy.stats.rvs_ratio_uniforms(pdf, umax, vmin, vmax, size=1, c=0, random_state=None)

  Generate random samples from a probability density function using the ratio-of-uniforms method.

  Deprecated since version 1.12.0: `rvs_ratio_uniforms` is deprecated in favour of `scipy.stats.sampling.RatioUniforms` from version 1.12.0 and will be removed in SciPy 1.15.0

  Parameters:
    pdf callable

      A function with signature pdf(x) that is proportional to the probability density function of the distribution.

    umax float

      The upper bound of the bounding rectangle in the u-direction.

    vmin float

      The lower bound of the bounding rectangle in the v-direction.

    vmax float

      The upper bound of the bounding rectangle in the v-direction.

    size int or tuple of ints, optional

      Defining number of random variates (default is 1).

    c float, optional.

      Shift parameter of ratio-of-uniforms method, see Notes. Default is 0.

    random_state{None, int, `numpy.random.Generator`,

      > `numpy.random.RandomState`}, optional

      If seed is None (or np.random), the `numpy.random.RandomState` singleton is used. If seed is an int, a new `RandomState` instance is used, seeded with seed. If seed is already a `Generator` or `RandomState` instance then that instance is used.

  Returns:
    rvs ndarray

      The random variates distributed according to the probability distribution defined by the pdf.

  Notes

  Please refer to `scipy.stats.sampling.RatioUniforms` for the documentation.