Data analysis

Manage data and samples

Link Pandas and OpenTURNS

Import / export a sample via a CSV file

Estimate moments from sample

A quick start guide to the Point and Sample classes

Sample manipulation

Sort a sample

Estimate Wilks and empirical quantile

Build and validate a linear model

Estimate correlation coefficients

Sample analysis

Draw an histogram

Draw the empirical CDF

Compare unconditional and conditional histograms

Draw a survival function

Distribution fitting

Fit a distribution by maximum likelihood

Fit a parametric distribution

Get the asymptotic distribution of the estimators

Bandwidth sensitivity in kernel smoothing

Fit an extreme value distribution

Estimate a conditional quantile

Estimate a multivariate distribution

Fit a non parametric distribution

Statistical hypothesis testing

Distribution fitting test using Chi2

Cramer-Von Mises normality test

Normal fitting test using the Henry line

Test normality using Anderson-Darling

Distribution fitting test using QQ plot

Test distribution fitting using Kolmogorov/Lilliefors

Compare samples using Komogorov-Smirnov test, QQ-plot

Select fitted distributions

The Kolmogorov-Smirnov statistics

The Kolmogorov-Smirnov p-value

The Kolmogorov-Smirnov distribution

Estimate dependency and copulas

Sample independence test

Fit a parametric copula

Fit a non parametric copula

Copula fitting test using Kendall plot

Test samples independence using regression

Graphical copula validation

Estimate stochastic processes

Estimate a multivariate ARMA process

Estimate a non stationary covariance function

Estimate a scalar ARMA process

Estimate a spectral density function

Estimate a stationary covariance function

Graphics

Visualize pairs

Visualize clouds