DataAnalysisResult

class persalys.DataAnalysisResult(*args)

Get the results of a data analysis.

Methods

getCDF()

CDF accessor.

getClassName()

Accessor to the object's name.

getCoefficientOfVariation()

Coefficient of variation accessor.

getDesignOfExperiment()

Design of experiments accessor.

getEffectiveSize()

Effective size accessor.

getElapsedTime()

Elapsed time in seconds to perform the analysis.

getFirstQuartile()

First quartile accessor.

getKurtosis()

Kurtosis accessor.

getMax()

Maximum accessor.

getMean()

Mean accessor.

getMeanConfidenceInterval()

Confidence interval mean accessor.

getMedian()

Median accessor.

getMin()

Minimum accessor.

getMultivariateDoE()

Multivariate design of experiments accessor.

getName()

Accessor to the object's name.

getOutliers()

Outliers accessor.

getPDF()

PDF accessor.

getSkewness()

Skewness accessor.

getStandardDeviation()

Standard deviation accessor.

getStdConfidenceInterval()

Confidence interval standard deviation accessor.

getThirdQuartile()

Third quartile accessor.

getVariance()

Variance accessor.

hasName()

Test if the object is named.

setName(name)

Accessor to the object's name.

getSurvivalFunction

__init__(*args)
getCDF()

CDF accessor.

Returns:
resultsequence of openturns.Sample

CDF

getClassName()

Accessor to the object’s name.

Returns:
class_namestr

The object class name (object.__class__.__name__).

getCoefficientOfVariation()

Coefficient of variation accessor.

Returns:
resultsequence of openturns.Point

Coefficient of variation

getDesignOfExperiment()

Design of experiments accessor.

Returns:
designDesignOfExperiment

Design of experiments containing the analysed points

getEffectiveSize()

Effective size accessor.

Returns:
designopenturns.Point

Number of non NaN values for each marginal

getElapsedTime()

Elapsed time in seconds to perform the analysis.

Returns:
timedouble

Elapsed time in seconds to perform the analysis

getFirstQuartile()

First quartile accessor.

Returns:
resultsequence of openturns.Point

First quartile

getKurtosis()

Kurtosis accessor.

Returns:
resultsequence of openturns.Point

Kurtosis

getMax()

Maximum accessor.

Returns:
resultsequence of openturns.Point

Maximum

getMean()

Mean accessor.

Returns:
resultsequence of openturns.Point

Mean

getMeanConfidenceInterval()

Confidence interval mean accessor.

Parameters:
levelfloat

Confidence level

Returns:
resultopenturns.Interval

Confidence interval mean

getMedian()

Median accessor.

Returns:
resultsequence of openturns.Point

Median

getMin()

Minimum accessor.

Returns:
resultsequence of openturns.Point

Minimum

getMultivariateDoE()

Multivariate design of experiments accessor.

Returns:
designDesignOfExperiment

Design of experiments where all rows containing NaN values have been removed.

getName()

Accessor to the object’s name.

Returns:
namestr

The name of the object.

getOutliers()

Outliers accessor.

Returns:
resultsequence of openturns.Point

Outliers

getPDF()

PDF accessor.

Returns:
resultsequence of openturns.Sample

PDF

getSkewness()

Skewness accessor.

Returns:
resultsequence of openturns.Point

Skewness

getStandardDeviation()

Standard deviation accessor.

Returns:
resultsequence of openturns.Point

Standard deviation

getStdConfidenceInterval()

Confidence interval standard deviation accessor.

Parameters:
levelfloat

Confidence level

Returns:
resultopenturns.Interval

Confidence interval standard deviation

getThirdQuartile()

Third quartile accessor.

Returns:
resultsequence of openturns.Point

Third quartile

getVariance()

Variance accessor.

Returns:
resultsequence of openturns.Point

Variance

hasName()

Test if the object is named.

Returns:
hasNamebool

True if the name is not empty.

setName(name)

Accessor to the object’s name.

Parameters:
namestr

The name of the object.