Distribution-Checker 0.1.2

Python Distribution Checker for Pandas datas using Scipy package

Distribution-Checker

Python Distribution Checker for datas using Scipy package

Installation

pip install Distribution_Checker

Usage

from Distribution_Checker import Dist_Checker
import pandas as pd

# Load sample dataset
data = pd.read_csv('weight-height.csv')

# verbose=1 prints the log while fitting and verbose=0 doesn't
p = Dist_Checker(verbose=1)
p = p.fit(data)

# After fitting, you can get distribution sorted by Sum of Squered Error that fit your data, so the first distribution is the distribution that is closer to your data
p.get_distributions()

# You can also plot distributions and your data to see this visualy. top=10 means that you want to plot top 10 distributions that match your data
p.plot(top=10)

Output plot from weight-height.csv DataFrame

Distributions list

            alpha, anglit, arcsine, argus, beta, betaprime, bradford,
            burr, burr12, cauchy, chi, chi2, cosine, crystalball,
            dgamma, dweibull, erlang, expon, exponnorm, exponweib,
            exponpow, f, fatiguelife, fisk, foldcauchy, foldnorm,
            genlogistic, gennorm, genpareto,weibull_max, wrapcauchy,
            genexpon, genextreme, gausshyper, gamma, gengamma, genhalflogistic,
            geninvgauss, gilbrat, gompertz, gumbel_r, gumbel_l, halfcauchy,
            halflogistic, halfnorm, halfgennorm, hypsecant, invgamma, invgauss,
            invweibull, johnsonsb, johnsonsu, kappa4, kappa3, ksone, kstwo,
            kstwobign, laplace, levy, levy_l, logistic, loggamma,
            loglaplace, lognorm, loguniform, lomax, maxwell, mielke, moyal,
            nakagami, norm, norminvgauss, pareto, pearson3,
            powerlaw, powerlognorm, powernorm, rdist, rayleigh, rice, recipinvgauss,
            semicircular, skewnorm, t, trapz, triang, truncexpon, truncnorm,
            tukeylambda, uniform, vonmises, vonmises_line, wald, weibull_min

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If any problem was founded, feel free to inform me :)