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__init__.cpython-35.pyc
0��W{# � @ s� d Z d d l m Z m Z m Z d d l Td d l Td d l Td d l Td d l m Z d d l m Z d d l m Z d d l Td d � e � D� Z d d l m Z e � j Z d S) a�! ========================================== Statistical functions (:mod:`scipy.stats`) ========================================== .. module:: scipy.stats This module contains a large number of probability distributions as well as a growing library of statistical functions. Each univariate distribution is an instance of a subclass of `rv_continuous` (`rv_discrete` for discrete distributions): .. autosummary:: :toctree: generated/ rv_continuous rv_discrete Continuous distributions ======================== .. autosummary:: :toctree: generated/ alpha -- Alpha anglit -- Anglit arcsine -- Arcsine beta -- Beta betaprime -- Beta Prime bradford -- Bradford burr -- Burr (Type III) burr12 -- Burr (Type XII) cauchy -- Cauchy chi -- Chi chi2 -- Chi-squared cosine -- Cosine dgamma -- Double Gamma dweibull -- Double Weibull erlang -- Erlang expon -- Exponential exponnorm -- Exponentially Modified Normal exponweib -- Exponentiated Weibull exponpow -- Exponential Power f -- F (Snecdor F) fatiguelife -- Fatigue Life (Birnbaum-Saunders) fisk -- Fisk foldcauchy -- Folded Cauchy foldnorm -- Folded Normal frechet_r -- Frechet Right Sided, Extreme Value Type II (Extreme LB) or weibull_min frechet_l -- Frechet Left Sided, Weibull_max genlogistic -- Generalized Logistic gennorm -- Generalized normal genpareto -- Generalized Pareto genexpon -- Generalized Exponential genextreme -- Generalized Extreme Value gausshyper -- Gauss Hypergeometric gamma -- Gamma gengamma -- Generalized gamma genhalflogistic -- Generalized Half Logistic gilbrat -- Gilbrat gompertz -- Gompertz (Truncated Gumbel) gumbel_r -- Right Sided Gumbel, Log-Weibull, Fisher-Tippett, Extreme Value Type I gumbel_l -- Left Sided Gumbel, etc. halfcauchy -- Half Cauchy halflogistic -- Half Logistic halfnorm -- Half Normal halfgennorm -- Generalized Half Normal hypsecant -- Hyperbolic Secant invgamma -- Inverse Gamma invgauss -- Inverse Gaussian invweibull -- Inverse Weibull johnsonsb -- Johnson SB johnsonsu -- Johnson SU kappa4 -- Kappa 4 parameter kappa3 -- Kappa 3 parameter ksone -- Kolmogorov-Smirnov one-sided (no stats) kstwobign -- Kolmogorov-Smirnov two-sided test for Large N (no stats) laplace -- Laplace levy -- Levy levy_l levy_stable logistic -- Logistic loggamma -- Log-Gamma loglaplace -- Log-Laplace (Log Double Exponential) lognorm -- Log-Normal lomax -- Lomax (Pareto of the second kind) maxwell -- Maxwell mielke -- Mielke's Beta-Kappa nakagami -- Nakagami ncx2 -- Non-central chi-squared ncf -- Non-central F nct -- Non-central Student's T norm -- Normal (Gaussian) pareto -- Pareto pearson3 -- Pearson type III powerlaw -- Power-function powerlognorm -- Power log normal powernorm -- Power normal rdist -- R-distribution reciprocal -- Reciprocal rayleigh -- Rayleigh rice -- Rice recipinvgauss -- Reciprocal Inverse Gaussian semicircular -- Semicircular skewnorm -- Skew normal t -- Student's T trapz -- Trapezoidal triang -- Triangular truncexpon -- Truncated Exponential truncnorm -- Truncated Normal tukeylambda -- Tukey-Lambda uniform -- Uniform vonmises -- Von-Mises (Circular) vonmises_line -- Von-Mises (Line) wald -- Wald weibull_min -- Minimum Weibull (see Frechet) weibull_max -- Maximum Weibull (see Frechet) wrapcauchy -- Wrapped Cauchy Multivariate distributions ========================== .. autosummary:: :toctree: generated/ multivariate_normal -- Multivariate normal distribution matrix_normal -- Matrix normal distribution dirichlet -- Dirichlet wishart -- Wishart invwishart -- Inverse Wishart special_ortho_group -- SO(N) group ortho_group -- O(N) group random_correlation -- random correlation matrices Discrete distributions ====================== .. autosummary:: :toctree: generated/ bernoulli -- Bernoulli binom -- Binomial boltzmann -- Boltzmann (Truncated Discrete Exponential) dlaplace -- Discrete Laplacian geom -- Geometric hypergeom -- Hypergeometric logser -- Logarithmic (Log-Series, Series) nbinom -- Negative Binomial planck -- Planck (Discrete Exponential) poisson -- Poisson randint -- Discrete Uniform skellam -- Skellam zipf -- Zipf Statistical functions ===================== Several of these functions have a similar version in scipy.stats.mstats which work for masked arrays. .. autosummary:: :toctree: generated/ describe -- Descriptive statistics gmean -- Geometric mean hmean -- Harmonic mean kurtosis -- Fisher or Pearson kurtosis kurtosistest -- mode -- Modal value moment -- Central moment normaltest -- skew -- Skewness skewtest -- kstat -- kstatvar -- tmean -- Truncated arithmetic mean tvar -- Truncated variance tmin -- tmax -- tstd -- tsem -- variation -- Coefficient of variation find_repeats trim_mean .. autosummary:: :toctree: generated/ cumfreq histogram2 histogram itemfreq percentileofscore scoreatpercentile relfreq .. autosummary:: :toctree: generated/ binned_statistic -- Compute a binned statistic for a set of data. binned_statistic_2d -- Compute a 2-D binned statistic for a set of data. binned_statistic_dd -- Compute a d-D binned statistic for a set of data. .. autosummary:: :toctree: generated/ obrientransform signaltonoise bayes_mvs mvsdist sem zmap zscore iqr .. autosummary:: :toctree: generated/ sigmaclip threshold trimboth trim1 .. autosummary:: :toctree: generated/ f_oneway pearsonr spearmanr pointbiserialr kendalltau linregress theilslopes f_value .. autosummary:: :toctree: generated/ ttest_1samp ttest_ind ttest_ind_from_stats ttest_rel kstest chisquare power_divergence ks_2samp mannwhitneyu tiecorrect rankdata ranksums wilcoxon kruskal friedmanchisquare combine_pvalues ss square_of_sums jarque_bera .. autosummary:: :toctree: generated/ ansari bartlett levene shapiro anderson anderson_ksamp binom_test fligner median_test mood .. autosummary:: :toctree: generated/ boxcox boxcox_normmax boxcox_llf entropy .. autosummary:: :toctree: generated/ chisqprob betai Circular statistical functions ============================== .. autosummary:: :toctree: generated/ circmean circvar circstd Contingency table functions =========================== .. autosummary:: :toctree: generated/ chi2_contingency contingency.expected_freq contingency.margins fisher_exact Plot-tests ========== .. autosummary:: :toctree: generated/ ppcc_max ppcc_plot probplot boxcox_normplot Masked statistics functions =========================== .. toctree:: stats.mstats Univariate and multivariate kernel density estimation (:mod:`scipy.stats.kde`) ============================================================================== .. autosummary:: :toctree: generated/ gaussian_kde For many more stat related functions install the software R and the interface package rpy. � )�division�print_function�absolute_import� )�*)� gaussian_kde)�mstats)�chi2_contingencyc C s% g | ] } | j d � s | � q S)�_)� startswith)�.0�s� r � /__init__.py� <listcomp>a s r )�TesterN)�__doc__Z __future__r r r ZstatsZ distributionsZ morestatsZ_binned_statisticZkder � r Z contingencyr Z _multivariate�dir�__all__Z numpy.testingr Ztestr r r r �<module>U s
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__init__.cpython-35.opt-1.pyc
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__init__.cpython-35.pyc
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_binned_statistic.cpython-35.opt-1.pyc
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_binned_statistic.cpython-35.pyc
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_constants.cpython-35.opt-1.pyc
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_constants.cpython-35.pyc
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_continuous_distns.cpython-35.opt-1.pyc
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_continuous_distns.cpython-35.pyc
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_discrete_distns.cpython-35.opt-1.pyc
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_discrete_distns.cpython-35.pyc
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_distn_infrastructure.cpython-35.opt-1.pyc
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_distn_infrastructure.cpython-35.pyc
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_distr_params.cpython-35.opt-1.pyc
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_distr_params.cpython-35.pyc
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_multivariate.cpython-35.opt-1.pyc
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_multivariate.cpython-35.pyc
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_stats_mstats_common.cpython-35.opt-1.pyc
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_stats_mstats_common.cpython-35.pyc
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_tukeylambda_stats.cpython-35.opt-1.pyc
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_tukeylambda_stats.cpython-35.pyc
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contingency.cpython-35.opt-1.pyc
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contingency.cpython-35.pyc
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distributions.cpython-35.opt-1.pyc
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distributions.cpython-35.pyc
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kde.cpython-35.opt-1.pyc
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kde.cpython-35.pyc
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morestats.cpython-35.opt-1.pyc
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morestats.cpython-35.pyc
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mstats.cpython-35.opt-1.pyc
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mstats.cpython-35.pyc
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mstats_basic.cpython-35.opt-1.pyc
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mstats_basic.cpython-35.pyc
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mstats_extras.cpython-35.opt-1.pyc
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mstats_extras.cpython-35.pyc
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setup.cpython-35.opt-1.pyc
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setup.cpython-35.pyc
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stats.cpython-35.opt-1.pyc
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stats.cpython-35.pyc
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vonmises.cpython-35.opt-1.pyc
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vonmises.cpython-35.pyc
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N4ST4R_ID | Naxtarrr
