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356 lines
9.4 KiB
Python
356 lines
9.4 KiB
Python
"""
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==========================================
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Statistical functions (:mod:`scipy.stats`)
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==========================================
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.. module:: scipy.stats
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This module contains a large number of probability distributions as
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well as a growing library of statistical functions.
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Each included distribution is an instance of the class rv_continuous:
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For each given name the following methods are available:
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.. autosummary::
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:toctree: generated/
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rv_continuous
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rv_continuous.pdf
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rv_continuous.logpdf
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rv_continuous.cdf
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rv_continuous.logcdf
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rv_continuous.sf
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rv_continuous.logsf
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rv_continuous.ppf
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rv_continuous.isf
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rv_continuous.moment
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rv_continuous.stats
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rv_continuous.entropy
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rv_continuous.fit
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rv_continuous.expect
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Calling the instance as a function returns a frozen pdf whose shape,
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location, and scale parameters are fixed.
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Similarly, each discrete distribution is an instance of the class
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rv_discrete:
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.. autosummary::
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:toctree: generated/
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rv_discrete
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rv_discrete.rvs
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rv_discrete.pmf
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rv_discrete.logpmf
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rv_discrete.cdf
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rv_discrete.logcdf
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rv_discrete.sf
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rv_discrete.logsf
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rv_discrete.ppf
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rv_discrete.isf
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rv_discrete.stats
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rv_discrete.moment
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rv_discrete.entropy
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rv_discrete.expect
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Continuous distributions
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========================
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.. autosummary::
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:toctree: generated/
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alpha -- Alpha
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anglit -- Anglit
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arcsine -- Arcsine
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beta -- Beta
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betaprime -- Beta Prime
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bradford -- Bradford
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burr -- Burr
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cauchy -- Cauchy
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chi -- Chi
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chi2 -- Chi-squared
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cosine -- Cosine
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dgamma -- Double Gamma
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dweibull -- Double Weibull
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erlang -- Erlang
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expon -- Exponential
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exponweib -- Exponentiated Weibull
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exponpow -- Exponential Power
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f -- F (Snecdor F)
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fatiguelife -- Fatigue Life (Birnbaum-Saunders)
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fisk -- Fisk
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foldcauchy -- Folded Cauchy
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foldnorm -- Folded Normal
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frechet_r -- Frechet Right Sided, Extreme Value Type II (Extreme LB) or weibull_min
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frechet_l -- Frechet Left Sided, Weibull_max
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genlogistic -- Generalized Logistic
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genpareto -- Generalized Pareto
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genexpon -- Generalized Exponential
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genextreme -- Generalized Extreme Value
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gausshyper -- Gauss Hypergeometric
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gamma -- Gamma
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gengamma -- Generalized gamma
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genhalflogistic -- Generalized Half Logistic
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gilbrat -- Gilbrat
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gompertz -- Gompertz (Truncated Gumbel)
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gumbel_r -- Right Sided Gumbel, Log-Weibull, Fisher-Tippett, Extreme Value Type I
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gumbel_l -- Left Sided Gumbel, etc.
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halfcauchy -- Half Cauchy
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halflogistic -- Half Logistic
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halfnorm -- Half Normal
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hypsecant -- Hyperbolic Secant
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invgamma -- Inverse Gamma
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invgauss -- Inverse Gaussian
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invweibull -- Inverse Weibull
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johnsonsb -- Johnson SB
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johnsonsu -- Johnson SU
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ksone -- Kolmogorov-Smirnov one-sided (no stats)
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kstwobign -- Kolmogorov-Smirnov two-sided test for Large N (no stats)
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laplace -- Laplace
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logistic -- Logistic
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loggamma -- Log-Gamma
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loglaplace -- Log-Laplace (Log Double Exponential)
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lognorm -- Log-Normal
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lomax -- Lomax (Pareto of the second kind)
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maxwell -- Maxwell
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mielke -- Mielke's Beta-Kappa
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nakagami -- Nakagami
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ncx2 -- Non-central chi-squared
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ncf -- Non-central F
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nct -- Non-central Student's T
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norm -- Normal (Gaussian)
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pareto -- Pareto
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pearson3 -- Pearson type III
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powerlaw -- Power-function
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powerlognorm -- Power log normal
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powernorm -- Power normal
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rdist -- R-distribution
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reciprocal -- Reciprocal
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rayleigh -- Rayleigh
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rice -- Rice
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recipinvgauss -- Reciprocal Inverse Gaussian
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semicircular -- Semicircular
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t -- Student's T
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triang -- Triangular
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truncexpon -- Truncated Exponential
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truncnorm -- Truncated Normal
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tukeylambda -- Tukey-Lambda
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uniform -- Uniform
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vonmises -- Von-Mises (Circular)
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wald -- Wald
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weibull_min -- Minimum Weibull (see Frechet)
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weibull_max -- Maximum Weibull (see Frechet)
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wrapcauchy -- Wrapped Cauchy
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Multivariate distributions
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==========================
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.. autosummary::
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:toctree: generated/
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multivariate_normal -- Multivariate normal distribution
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dirichlet -- Dirichlet
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Discrete distributions
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======================
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.. autosummary::
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:toctree: generated/
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bernoulli -- Bernoulli
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binom -- Binomial
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boltzmann -- Boltzmann (Truncated Discrete Exponential)
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dlaplace -- Discrete Laplacian
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geom -- Geometric
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hypergeom -- Hypergeometric
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logser -- Logarithmic (Log-Series, Series)
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nbinom -- Negative Binomial
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planck -- Planck (Discrete Exponential)
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poisson -- Poisson
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randint -- Discrete Uniform
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skellam -- Skellam
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zipf -- Zipf
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Statistical functions
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=====================
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Several of these functions have a similar version in scipy.stats.mstats
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which work for masked arrays.
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.. autosummary::
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:toctree: generated/
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describe -- Descriptive statistics
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gmean -- Geometric mean
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hmean -- Harmonic mean
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kurtosis -- Fisher or Pearson kurtosis
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kurtosistest --
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mode -- Modal value
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moment -- Central moment
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normaltest --
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skew -- Skewness
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skewtest --
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tmean -- Truncated arithmetic mean
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tvar -- Truncated variance
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tmin --
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tmax --
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tstd --
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tsem --
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nanmean -- Mean, ignoring NaN values
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nanstd -- Standard deviation, ignoring NaN values
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nanmedian -- Median, ignoring NaN values
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variation -- Coefficient of variation
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.. autosummary::
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:toctree: generated/
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cumfreq _
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histogram2 _
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histogram _
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itemfreq _
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percentileofscore _
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scoreatpercentile _
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relfreq _
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.. autosummary::
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:toctree: generated/
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binned_statistic -- Compute a binned statistic for a set of data.
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binned_statistic_2d -- Compute a 2-D binned statistic for a set of data.
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binned_statistic_dd -- Compute a d-D binned statistic for a set of data.
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.. autosummary::
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:toctree: generated/
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obrientransform
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signaltonoise
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bayes_mvs
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sem
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zmap
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zscore
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.. autosummary::
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:toctree: generated/
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sigmaclip
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threshold
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trimboth
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trim1
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.. autosummary::
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:toctree: generated/
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f_oneway
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pearsonr
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spearmanr
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pointbiserialr
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kendalltau
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linregress
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theilslopes
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.. autosummary::
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:toctree: generated/
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ttest_1samp
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ttest_ind
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ttest_rel
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kstest
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chisquare
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power_divergence
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ks_2samp
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mannwhitneyu
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tiecorrect
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rankdata
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ranksums
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wilcoxon
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kruskal
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friedmanchisquare
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.. autosummary::
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:toctree: generated/
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ansari
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bartlett
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levene
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shapiro
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anderson
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anderson_ksamp
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binom_test
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fligner
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median_test
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mood
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.. autosummary::
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:toctree: generated/
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boxcox
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boxcox_normmax
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boxcox_llf
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entropy
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Contingency table functions
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===========================
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.. autosummary::
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:toctree: generated/
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chi2_contingency
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contingency.expected_freq
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contingency.margins
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fisher_exact
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Plot-tests
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==========
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.. autosummary::
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:toctree: generated/
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ppcc_max
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ppcc_plot
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probplot
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boxcox_normplot
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Masked statistics functions
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===========================
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.. toctree::
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stats.mstats
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Univariate and multivariate kernel density estimation (:mod:`scipy.stats.kde`)
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==============================================================================
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.. autosummary::
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:toctree: generated/
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gaussian_kde
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For many more stat related functions install the software R and the
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interface package rpy.
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"""
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from __future__ import division, print_function, absolute_import
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from scipy.stats import *
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from .core import *
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from .stats import *
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from .distributions import *
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from .rv import *
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from .morestats import *
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from ._binned_statistic import *
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from .kde import gaussian_kde
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from . import mstats
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from .contingency import chi2_contingency
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from ._multivariate import *
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from . import estimation
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#remove vonmises_cython from __all__, I don't know why it is included
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__all__ = [s for s in dir() if not (s.startswith('_') or s.endswith('cython'))]
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#import distributions #@Reimport
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#from wafo.stats.distributions import *
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from numpy.testing import Tester
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test = Tester().test
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