#! /usr/bin/env python from __future__ import print_function import openturns as ot ot.TESTPREAMBLE() ot.RandomGenerator.SetSeed(0) # Instanciate one distribution object distribution = ot.MaximumEntropyOrderStatisticsDistribution([ ot.Trapezoidal(-2.0, -1.1, -1.0, 1.0), ot.LogUniform(1.0, 1.2), ot.Triangular(3.0, 4.5, 5.0), ot.Beta(2.5, 3.5, 4.7, 5.2) ]) dim = distribution.getDimension() print("Distribution ", distribution) # Is this distribution elliptical ? print("Elliptical = ", distribution.isElliptical()) # Test for realization of distribution oneRealization = distribution.getRealization() print("oneRealization=", repr(oneRealization)) # Test for sampling size = 10000 oneSample = distribution.getSample(size) print("oneSample first=", repr(oneSample[0]), " last=", repr(oneSample[size - 1]))
# In this example we are going to build maximum entropy statistics distribution, which yields ordered realizations: # # .. math:: # X_1 \leq \dots \leq X_n # # %% import openturns as ot import openturns.viewer as viewer from matplotlib import pylab as plt ot.Log.Show(ot.Log.NONE) # %% # create a collection of distribution coll = [ot.Beta(1.5, 1.7, 0.0, 1.0), ot.Beta(2.0, 2.3, 0.5, 1.2)] # %% # create the distribution distribution = ot.MaximumEntropyOrderStatisticsDistribution(coll) print(distribution) # %% # draw a sample (ordered!) distribution.getSample(10) # %% # draw PDF graph = distribution.drawPDF() view = viewer.View(graph) plt.show()
import openturns as ot from matplotlib import pyplot as plt from openturns.viewer import View myDist = [ot.Beta(1.5, 3.2, 0.0, 1.0), ot.Beta(2.0, 4.3, 0.5, 1.2)] myOrderStatDist = ot.MaximumEntropyOrderStatisticsDistribution(myDist) myOrderStatDist.setDescription(['$x_1$', '$x_2$']) graphPDF = myOrderStatDist.drawPDF() graphCDF = myOrderStatDist.drawCDF() fig = plt.figure(figsize=(8, 4)) plt.suptitle("Max Entropy Order Statistics Distribution: pdf and cdf") pdf_axis = fig.add_subplot(121) cdf_axis = fig.add_subplot(122) pdf_axis.set_xlim(auto=True) cdf_axis.set_xlim(auto=True) View(graphPDF, figure=fig, axes=[pdf_axis], add_legend=True) View(graphCDF, figure=fig, axes=[cdf_axis], add_legend=True)