Scipy distributions

This project supports all continuous and discrete probability distributions available in the scipy.stats module.

You can find the full list of distributions in the scipy.stats documentation.

class Alpha(*args, reparametrization=None, **params)

Alpha distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the alpha distribution for details.

class Anglit(*args, reparametrization=None, **params)

Anglit distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Arcsine(*args, reparametrization=None, **params)

Arcsine distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Argus(*args, reparametrization=None, **params)

Argus distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• chi (float, mandatory) – Shape parameter. See the SciPy documentation for the argus distribution for details.

class Betaprime(*args, reparametrization=None, **params)

Betaprime distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the betaprime distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the betaprime distribution for details.

class Bradford(*args, reparametrization=None, **params)

Bradford distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the bradford distribution for details.

class Burr(*args, reparametrization=None, **params)

Burr distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the burr distribution for details.

• d (float, mandatory) – Shape parameter. See the SciPy documentation for the burr distribution for details.

class Burr12(*args, reparametrization=None, **params)

Burr12 distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the burr12 distribution for details.

• d (float, mandatory) – Shape parameter. See the SciPy documentation for the burr12 distribution for details.

class Cauchy(*args, reparametrization=None, **params)

Cauchy distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Chi(*args, reparametrization=None, **params)

Chi distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• df (float, mandatory) – Shape parameter. See the SciPy documentation for the chi distribution for details.

class Chi2(*args, reparametrization=None, **params)

Chi2 distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• df (float, mandatory) – Shape parameter. See the SciPy documentation for the chi2 distribution for details.

class Cosine(*args, reparametrization=None, **params)

Cosine distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Crystalball(*args, reparametrization=None, **params)

Crystalball distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• beta (float, mandatory) – Shape parameter. See the SciPy documentation for the crystalball distribution for details.

• m (float, mandatory) – Shape parameter. See the SciPy documentation for the crystalball distribution for details.

class Dgamma(*args, reparametrization=None, **params)

Dgamma distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the dgamma distribution for details.

class DparetoLognorm(*args, reparametrization=None, **params)

DparetoLognorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• u (float, mandatory) – Shape parameter. See the SciPy documentation for the dpareto_lognorm distribution for details.

• s (float, mandatory) – Shape parameter. See the SciPy documentation for the dpareto_lognorm distribution for details.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the dpareto_lognorm distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the dpareto_lognorm distribution for details.

class Dweibull(*args, reparametrization=None, **params)

Dweibull distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the dweibull distribution for details.

class Erlang(*args, reparametrization=None, **params)

Erlang distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the erlang distribution for details.

class Expon(*args, reparametrization=None, **params)

Expon distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Exponnorm(*args, reparametrization=None, **params)

Exponnorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• K (float, mandatory) – Shape parameter. See the SciPy documentation for the exponnorm distribution for details.

class Exponpow(*args, reparametrization=None, **params)

Exponpow distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the exponpow distribution for details.

class Exponweib(*args, reparametrization=None, **params)

Exponweib distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the exponweib distribution for details.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the exponweib distribution for details.

class F(*args, reparametrization=None, **params)

F distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• dfn (float, mandatory) – Shape parameter. See the SciPy documentation for the f distribution for details.

• dfd (float, mandatory) – Shape parameter. See the SciPy documentation for the f distribution for details.

class Fatiguelife(*args, reparametrization=None, **params)

Fatiguelife distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the fatiguelife distribution for details.

class Fisk(*args, reparametrization=None, **params)

Fisk distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the fisk distribution for details.

class Foldcauchy(*args, reparametrization=None, **params)

Foldcauchy distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the foldcauchy distribution for details.

class Foldnorm(*args, reparametrization=None, **params)

Foldnorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the foldnorm distribution for details.

class Gausshyper(*args, reparametrization=None, **params)

Gausshyper distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the gausshyper distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the gausshyper distribution for details.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the gausshyper distribution for details.

• z (float, mandatory) – Shape parameter. See the SciPy documentation for the gausshyper distribution for details.

class Genexpon(*args, reparametrization=None, **params)

Genexpon distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the genexpon distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the genexpon distribution for details.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the genexpon distribution for details.

class Genextreme(*args, reparametrization=None, **params)

Genextreme distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the genextreme distribution for details.

class Gengamma(*args, reparametrization=None, **params)

Gengamma distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the gengamma distribution for details.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the gengamma distribution for details.

class Genhalflogistic(*args, reparametrization=None, **params)

Genhalflogistic distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the genhalflogistic distribution for details.

class Genhyperbolic(*args, reparametrization=None, **params)

Genhyperbolic distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• p (float, mandatory) – Shape parameter. See the SciPy documentation for the genhyperbolic distribution for details.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the genhyperbolic distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the genhyperbolic distribution for details.

class Geninvgauss(*args, reparametrization=None, **params)

Geninvgauss distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• p (float, mandatory) – Shape parameter. See the SciPy documentation for the geninvgauss distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the geninvgauss distribution for details.

class Genlogistic(*args, reparametrization=None, **params)

Genlogistic distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the genlogistic distribution for details.

class Gennorm(*args, reparametrization=None, **params)

Gennorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• beta (float, mandatory) – Shape parameter. See the SciPy documentation for the gennorm distribution for details.

class Genpareto(*args, reparametrization=None, **params)

Genpareto distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the genpareto distribution for details.

class Gibrat(*args, reparametrization=None, **params)

Gibrat distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Gompertz(*args, reparametrization=None, **params)

Gompertz distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the gompertz distribution for details.

class GumbelL(*args, reparametrization=None, **params)

GumbelL distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class GumbelR(*args, reparametrization=None, **params)

GumbelR distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Halfcauchy(*args, reparametrization=None, **params)

Halfcauchy distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Halfgennorm(*args, reparametrization=None, **params)

Halfgennorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• beta (float, mandatory) – Shape parameter. See the SciPy documentation for the halfgennorm distribution for details.

class Halflogistic(*args, reparametrization=None, **params)

Halflogistic distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Halfnorm(*args, reparametrization=None, **params)

Halfnorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Hypsecant(*args, reparametrization=None, **params)

Hypsecant distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Invgamma(*args, reparametrization=None, **params)

Invgamma distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the invgamma distribution for details.

class Invgauss(*args, reparametrization=None, **params)

Invgauss distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• mu (float, mandatory) – Shape parameter. See the SciPy documentation for the invgauss distribution for details.

class Invweibull(*args, reparametrization=None, **params)

Invweibull distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the invweibull distribution for details.

class Irwinhall(*args, reparametrization=None, **params)

Irwinhall distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• n (float, mandatory) – Shape parameter. See the SciPy documentation for the irwinhall distribution for details.

class JfSkewT(*args, reparametrization=None, **params)

JfSkewT distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the jf_skew_t distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the jf_skew_t distribution for details.

class Johnsonsb(*args, reparametrization=None, **params)

Johnsonsb distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the johnsonsb distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the johnsonsb distribution for details.

class Johnsonsu(*args, reparametrization=None, **params)

Johnsonsu distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the johnsonsu distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the johnsonsu distribution for details.

class Kappa3(*args, reparametrization=None, **params)

Kappa3 distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the kappa3 distribution for details.

class Kappa4(*args, reparametrization=None, **params)

Kappa4 distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• h (float, mandatory) – Shape parameter. See the SciPy documentation for the kappa4 distribution for details.

• k (float, mandatory) – Shape parameter. See the SciPy documentation for the kappa4 distribution for details.

class Ksone(*args, reparametrization=None, **params)

Ksone distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• n (float, mandatory) – Shape parameter. See the SciPy documentation for the ksone distribution for details.

class Kstwo(*args, reparametrization=None, **params)

Kstwo distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• n (float, mandatory) – Shape parameter. See the SciPy documentation for the kstwo distribution for details.

class Kstwobign(*args, reparametrization=None, **params)

Kstwobign distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Landau(*args, reparametrization=None, **params)

Landau distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Laplace(*args, reparametrization=None, **params)

Laplace distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class LaplaceAsymmetric(*args, reparametrization=None, **params)

LaplaceAsymmetric distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• kappa (float, mandatory) – Shape parameter. See the SciPy documentation for the laplace_asymmetric distribution for details.

class Levy(*args, reparametrization=None, **params)

Levy distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class LevyL(*args, reparametrization=None, **params)

LevyL distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class LevyStable(*args, reparametrization=None, **params)

LevyStable distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• alpha (float, mandatory) – Shape parameter. See the SciPy documentation for the levy_stable distribution for details.

• beta (float, mandatory) – Shape parameter. See the SciPy documentation for the levy_stable distribution for details.

class Loggamma(*args, reparametrization=None, **params)

Loggamma distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the loggamma distribution for details.

class Logistic(*args, reparametrization=None, **params)

Logistic distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Loglaplace(*args, reparametrization=None, **params)

Loglaplace distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the loglaplace distribution for details.

class Lognorm(*args, reparametrization=None, **params)

Lognorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• s (float, mandatory) – Shape parameter. See the SciPy documentation for the lognorm distribution for details.

Loguniform

alias of Reciprocal

class Lomax(*args, reparametrization=None, **params)

Lomax distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the lomax distribution for details.

class Maxwell(*args, reparametrization=None, **params)

Maxwell distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Mielke(*args, reparametrization=None, **params)

Mielke distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• k (float, mandatory) – Shape parameter. See the SciPy documentation for the mielke distribution for details.

• s (float, mandatory) – Shape parameter. See the SciPy documentation for the mielke distribution for details.

class Moyal(*args, reparametrization=None, **params)

Moyal distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Nakagami(*args, reparametrization=None, **params)

Nakagami distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• nu (float, mandatory) – Shape parameter. See the SciPy documentation for the nakagami distribution for details.

class Ncf(*args, reparametrization=None, **params)

Ncf distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• dfn (float, mandatory) – Shape parameter. See the SciPy documentation for the ncf distribution for details.

• dfd (float, mandatory) – Shape parameter. See the SciPy documentation for the ncf distribution for details.

• nc (float, mandatory) – Shape parameter. See the SciPy documentation for the ncf distribution for details.

class Nct(*args, reparametrization=None, **params)

Nct distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• df (float, mandatory) – Shape parameter. See the SciPy documentation for the nct distribution for details.

• nc (float, mandatory) – Shape parameter. See the SciPy documentation for the nct distribution for details.

class Ncx2(*args, reparametrization=None, **params)

Ncx2 distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• df (float, mandatory) – Shape parameter. See the SciPy documentation for the ncx2 distribution for details.

• nc (float, mandatory) – Shape parameter. See the SciPy documentation for the ncx2 distribution for details.

class Norm(*args, reparametrization=None, **params)

Norm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

Normal

alias of Norm

class Norminvgauss(*args, reparametrization=None, **params)

Norminvgauss distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the norminvgauss distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the norminvgauss distribution for details.

class Pearson3(*args, reparametrization=None, **params)

Pearson3 distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• skew (float, mandatory) – Shape parameter. See the SciPy documentation for the pearson3 distribution for details.

class Powerlaw(*args, reparametrization=None, **params)

Powerlaw distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the powerlaw distribution for details.

class Powerlognorm(*args, reparametrization=None, **params)

Powerlognorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the powerlognorm distribution for details.

• s (float, mandatory) – Shape parameter. See the SciPy documentation for the powerlognorm distribution for details.

class Powernorm(*args, reparametrization=None, **params)

Powernorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the powernorm distribution for details.

class Rayleigh(*args, reparametrization=None, **params)

Rayleigh distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Rdist(*args, reparametrization=None, **params)

Rdist distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the rdist distribution for details.

class Recipinvgauss(*args, reparametrization=None, **params)

Recipinvgauss distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• mu (float, mandatory) – Shape parameter. See the SciPy documentation for the recipinvgauss distribution for details.

class Reciprocal(*args, reparametrization=None, **params)

Reciprocal distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the reciprocal distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the reciprocal distribution for details.

class RelBreitwigner(*args, reparametrization=None, **params)

RelBreitwigner distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• rho (float, mandatory) – Shape parameter. See the SciPy documentation for the rel_breitwigner distribution for details.

class Rice(*args, reparametrization=None, **params)

Rice distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the rice distribution for details.

class Semicircular(*args, reparametrization=None, **params)

Semicircular distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Skewcauchy(*args, reparametrization=None, **params)

Skewcauchy distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the skewcauchy distribution for details.

class Skewnorm(*args, reparametrization=None, **params)

Skewnorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the skewnorm distribution for details.

class StudentizedRange(*args, reparametrization=None, **params)

StudentizedRange distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• k (float, mandatory) – Shape parameter. See the SciPy documentation for the studentized_range distribution for details.

• df (float, mandatory) – Shape parameter. See the SciPy documentation for the studentized_range distribution for details.

class T(*args, reparametrization=None, **params)

T distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• df (float, mandatory) – Shape parameter. See the SciPy documentation for the t distribution for details.

class Trapezoid(*args, reparametrization=None, **params)

Trapezoid distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the trapezoid distribution for details.

• d (float, mandatory) – Shape parameter. See the SciPy documentation for the trapezoid distribution for details.

Trapz

alias of Trapezoid

class Triang(*args, reparametrization=None, **params)

Triang distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the triang distribution for details.

class Truncexpon(*args, reparametrization=None, **params)

Truncexpon distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the truncexpon distribution for details.

class Truncnorm(*args, reparametrization=None, **params)

Truncnorm distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the truncnorm distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the truncnorm distribution for details.

class Truncpareto(*args, reparametrization=None, **params)

Truncpareto distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the truncpareto distribution for details.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the truncpareto distribution for details.

class TruncweibullMin(*args, reparametrization=None, **params)

TruncweibullMin distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the truncweibull_min distribution for details.

• a (float, mandatory) – Shape parameter. See the SciPy documentation for the truncweibull_min distribution for details.

• b (float, mandatory) – Shape parameter. See the SciPy documentation for the truncweibull_min distribution for details.

class Tukeylambda(*args, reparametrization=None, **params)

Tukeylambda distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• lam (float, mandatory) – Shape parameter. See the SciPy documentation for the tukeylambda distribution for details.

class Uniform(*args, reparametrization=None, **params)

Uniform distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class Vonmises(*args, reparametrization=None, **params)

Vonmises distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• kappa (float, mandatory) – Shape parameter. See the SciPy documentation for the vonmises distribution for details.

VonmisesLine

alias of Vonmises

class Wald(*args, reparametrization=None, **params)

Wald distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

class WeibullMax(*args, reparametrization=None, **params)

WeibullMax distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the weibull_max distribution for details.

class WeibullMin(*args, reparametrization=None, **params)

WeibullMin distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the weibull_min distribution for details.

class Wrapcauchy(*args, reparametrization=None, **params)

Wrapcauchy distribution.

Parameters:

• loc (float, optional) – Location parameter, by default 0.0.

• scale (float, optional) – Scale parameter, by default 1.0.

• c (float, mandatory) – Shape parameter. See the SciPy documentation for the wrapcauchy distribution for details.

wrap_scipy_distribution(scipy_dist)

Wrap a scipy distribution class to create a ScipyDistribution subclass.