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_distr_params.py
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_distr_params.py
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"""
Sane parameters for stats.distributions.
"""
import numpy as np
distcont = [
['alpha', (3.5704770516650459,)],
['anglit', ()],
['arcsine', ()],
['argus', (1.0,)],
['beta', (2.3098496451481823, 0.62687954300963677)],
['betaprime', (5, 6)],
['bradford', (0.29891359763170633,)],
['burr', (10.5, 4.3)],
['burr12', (10, 4)],
['cauchy', ()],
['chi', (78,)],
['chi2', (55,)],
['cosine', ()],
['crystalball', (2.0, 3.0)],
['dgamma', (1.1023326088288166,)],
['dweibull', (2.0685080649914673,)],
['erlang', (10,)],
['expon', ()],
['exponnorm', (1.5,)],
['exponpow', (2.697119160358469,)],
['exponweib', (2.8923945291034436, 1.9505288745913174)],
['f', (29, 18)],
['fatiguelife', (29,)], # correction numargs = 1
['fisk', (3.0857548622253179,)],
['foldcauchy', (4.7164673455831894,)],
['foldnorm', (1.9521253373555869,)],
['gamma', (1.9932305483800778,)],
['gausshyper', (13.763771604130699, 3.1189636648681431,
2.5145980350183019, 5.1811649903971615)], # veryslow
['genexpon', (9.1325976465418908, 16.231956600590632, 3.2819552690843983)],
['genextreme', (-0.1,)],
['gengamma', (4.4162385429431925, 3.1193091679242761)],
['gengamma', (4.4162385429431925, -3.1193091679242761)],
['genhalflogistic', (0.77274727809929322,)],
['genhyperbolic', (0.5, 1.5, -0.5,)],
['geninvgauss', (2.3, 1.5)],
['genlogistic', (0.41192440799679475,)],
['gennorm', (1.2988442399460265,)],
['halfgennorm', (0.6748054997000371,)],
['genpareto', (0.1,)], # use case with finite moments
['gibrat', ()],
['gompertz', (0.94743713075105251,)],
['gumbel_l', ()],
['gumbel_r', ()],
['halfcauchy', ()],
['halflogistic', ()],
['halfnorm', ()],
['hypsecant', ()],
['invgamma', (4.0668996136993067,)],
['invgauss', (0.14546264555347513,)],
['invweibull', (10.58,)],
['johnsonsb', (4.3172675099141058, 3.1837781130785063)],
['johnsonsu', (2.554395574161155, 2.2482281679651965)],
['kappa4', (0.0, 0.0)],
['kappa4', (-0.1, 0.1)],
['kappa4', (0.0, 0.1)],
['kappa4', (0.1, 0.0)],
['kappa3', (1.0,)],
['ksone', (1000,)], # replace 22 by 100 to avoid failing range, ticket 956
['kstwo', (10,)],
['kstwobign', ()],
['laplace', ()],
['laplace_asymmetric', (2,)],
['levy', ()],
['levy_l', ()],
['levy_stable', (1.8, -0.5)],
['loggamma', (0.41411931826052117,)],
['logistic', ()],
['loglaplace', (3.2505926592051435,)],
['lognorm', (0.95368226960575331,)],
['loguniform', (0.01, 1.25)],
['lomax', (1.8771398388773268,)],
['maxwell', ()],
['mielke', (10.4, 4.6)],
['moyal', ()],
['nakagami', (4.9673794866666237,)],
['ncf', (27, 27, 0.41578441799226107)],
['nct', (14, 0.24045031331198066)],
['ncx2', (21, 1.0560465975116415)],
['norm', ()],
['norminvgauss', (1.25, 0.5)],
['pareto', (2.621716532144454,)],
['pearson3', (0.1,)],
['pearson3', (-2,)],
['powerlaw', (1.6591133289905851,)],
['powerlaw', (0.6591133289905851,)],
['powerlognorm', (2.1413923530064087, 0.44639540782048337)],
['powernorm', (4.4453652254590779,)],
['rayleigh', ()],
['rdist', (1.6,)],
['recipinvgauss', (0.63004267809369119,)],
['reciprocal', (0.01, 1.25)],
['rice', (0.7749725210111873,)],
['semicircular', ()],
['skewcauchy', (0.5,)],
['skewnorm', (4.0,)],
['studentized_range', (3.0, 10.0)],
['t', (2.7433514990818093,)],
['trapezoid', (0.2, 0.8)],
['triang', (0.15785029824528218,)],
['truncexpon', (4.6907725456810478,)],
['truncnorm', (-1.0978730080013919, 2.7306754109031979)],
['truncnorm', (0.1, 2.)],
['truncpareto', (1.8, 5.3)],
['truncweibull_min', (2.5, 0.25, 1.75)],
['tukeylambda', (3.1321477856738267,)],
['uniform', ()],
['vonmises', (3.9939042581071398,)],
['vonmises_line', (3.9939042581071398,)],
['wald', ()],
['weibull_max', (2.8687961709100187,)],
['weibull_min', (1.7866166930421596,)],
['wrapcauchy', (0.031071279018614728,)]]
distdiscrete = [
['bernoulli',(0.3,)],
['betabinom', (5, 2.3, 0.63)],
['binom', (5, 0.4)],
['boltzmann',(1.4, 19)],
['dlaplace', (0.8,)], # 0.5
['geom', (0.5,)],
['hypergeom',(30, 12, 6)],
['hypergeom',(21,3,12)], # numpy.random (3,18,12) numpy ticket:921
['hypergeom',(21,18,11)], # numpy.random (18,3,11) numpy ticket:921
['nchypergeom_fisher', (140, 80, 60, 0.5)],
['nchypergeom_wallenius', (140, 80, 60, 0.5)],
['logser', (0.6,)], # re-enabled, numpy ticket:921
['nbinom', (0.4, 0.4)], # from tickets: 583
['nbinom', (5, 0.5)],
['planck', (0.51,)], # 4.1
['poisson', (0.6,)],
['randint', (7, 31)],
['skellam', (15, 8)],
['zipf', (6.5,)],
['zipfian', (0.75, 15)],
['zipfian', (1.25, 10)],
['yulesimon', (11.0,)],
['nhypergeom', (20, 7, 1)]
]
invdistdiscrete = [
# In each of the following, at least one shape parameter is invalid
['hypergeom', (3, 3, 4)],
['nhypergeom', (5, 2, 8)],
['nchypergeom_fisher', (3, 3, 4, 1)],
['nchypergeom_wallenius', (3, 3, 4, 1)],
['bernoulli', (1.5, )],
['binom', (10, 1.5)],
['betabinom', (10, -0.4, -0.5)],
['boltzmann', (-1, 4)],
['dlaplace', (-0.5, )],
['geom', (1.5, )],
['logser', (1.5, )],
['nbinom', (10, 1.5)],
['planck', (-0.5, )],
['poisson', (-0.5, )],
['randint', (5, 2)],
['skellam', (-5, -2)],
['zipf', (-2, )],
['yulesimon', (-2, )],
['zipfian', (-0.75, 15)]
]
invdistcont = [
# In each of the following, at least one shape parameter is invalid
['alpha', (-1, )],
['anglit', ()],
['arcsine', ()],
['argus', (-1, )],
['beta', (-2, 2)],
['betaprime', (-2, 2)],
['bradford', (-1, )],
['burr', (-1, 1)],
['burr12', (-1, 1)],
['cauchy', ()],
['chi', (-1, )],
['chi2', (-1, )],
['cosine', ()],
['crystalball', (-1, 2)],
['dgamma', (-1, )],
['dweibull', (-1, )],
['erlang', (-1, )],
['expon', ()],
['exponnorm', (-1, )],
['exponweib', (1, -1)],
['exponpow', (-1, )],
['f', (10, -10)],
['fatiguelife', (-1, )],
['fisk', (-1, )],
['foldcauchy', (-1, )],
['foldnorm', (-1, )],
['genlogistic', (-1, )],
['gennorm', (-1, )],
['genpareto', (np.inf, )],
['genexpon', (1, 2, -3)],
['genextreme', (np.inf, )],
['genhyperbolic', (0.5, -0.5, -1.5,)],
['gausshyper', (1, 2, 3, -4)],
['gamma', (-1, )],
['gengamma', (-1, 0)],
['genhalflogistic', (-1, )],
['geninvgauss', (1, 0)],
['gibrat', ()],
['gompertz', (-1, )],
['gumbel_r', ()],
['gumbel_l', ()],
['halfcauchy', ()],
['halflogistic', ()],
['halfnorm', ()],
['halfgennorm', (-1, )],
['hypsecant', ()],
['invgamma', (-1, )],
['invgauss', (-1, )],
['invweibull', (-1, )],
['johnsonsb', (1, -2)],
['johnsonsu', (1, -2)],
['kappa4', (np.nan, 0)],
['kappa3', (-1, )],
['ksone', (-1, )],
['kstwo', (-1, )],
['kstwobign', ()],
['laplace', ()],
['laplace_asymmetric', (-1, )],
['levy', ()],
['levy_l', ()],
['levy_stable', (-1, 1)],
['logistic', ()],
['loggamma', (-1, )],
['loglaplace', (-1, )],
['lognorm', (-1, )],
['loguniform', (10, 5)],
['lomax', (-1, )],
['maxwell', ()],
['mielke', (1, -2)],
['moyal', ()],
['nakagami', (-1, )],
['ncx2', (-1, 2)],
['ncf', (10, 20, -1)],
['nct', (-1, 2)],
['norm', ()],
['norminvgauss', (5, -10)],
['pareto', (-1, )],
['pearson3', (np.nan, )],
['powerlaw', (-1, )],
['powerlognorm', (1, -2)],
['powernorm', (-1, )],
['rdist', (-1, )],
['rayleigh', ()],
['rice', (-1, )],
['recipinvgauss', (-1, )],
['semicircular', ()],
['skewnorm', (np.inf, )],
['studentized_range', (-1, 1)],
['t', (-1, )],
['trapezoid', (0, 2)],
['triang', (2, )],
['truncexpon', (-1, )],
['truncnorm', (10, 5)],
['truncpareto', (-1, 5)],
['truncpareto', (1.8, .5)],
['truncweibull_min', (-2.5, 0.25, 1.75)],
['tukeylambda', (np.nan, )],
['uniform', ()],
['vonmises', (-1, )],
['vonmises_line', (-1, )],
['wald', ()],
['weibull_min', (-1, )],
['weibull_max', (-1, )],
['wrapcauchy', (2, )],
['reciprocal', (15, 10)],
['skewcauchy', (2, )]
]