import openturns as ot
from matplotlib import pyplot as plt
from openturns.viewer import View
if ot.Triangular().__class__.__name__ == 'ComposedDistribution':
correlation = ot.CorrelationMatrix(2)
correlation[1, 0] = 0.25
aCopula = ot.NormalCopula(correlation)
marginals = [ot.Normal(1.0, 2.0), ot.Normal(2.0, 3.0)]
distribution = ot.ComposedDistribution(marginals, aCopula)
elif ot.Triangular().__class__.__name__ == 'CumulativeDistributionNetwork':
distribution = ot.CumulativeDistributionNetwork(
[ot.Normal(2), ot.Dirichlet([0.5, 1.0, 1.5])],
ot.BipartiteGraph([[0, 1], [0, 1]]))
elif ot.Triangular().__class__.__name__ == 'Histogram':
distribution = ot.Histogram([-1.0, 0.5, 1.0, 2.0], [0.45, 0.4, 0.15])
else:
distribution = ot.Triangular()
dimension = distribution.getDimension()
if dimension == 1:
distribution.setDescription(['$x$'])
pdf_graph = distribution.drawPDF()
cdf_graph = distribution.drawCDF()
fig = plt.figure(figsize=(10, 4))
plt.suptitle(str(distribution))
pdf_axis = fig.add_subplot(121)
cdf_axis = fig.add_subplot(122)
View(pdf_graph, figure=fig, axes=[pdf_axis], add_legend=False)
View(cdf_graph, figure=fig, axes=[cdf_axis], add_legend=False)
elif dimension == 2:
distribution.setDescription(['$x_1$', '$x_2$'])
pdf_graph = distribution.drawPDF()
#! /usr/bin/env python
from __future__ import print_function
import openturns as ot
ot.TESTPREAMBLE()
try:
l = [1.0, 0.7, 1.2, 0.9]
h = [0.5, 1.5, 3.5, 2.5]
distribution = ot.Histogram(-1.5, l, h)
size = 10000
sample = distribution.getSample(size)
factory = ot.HistogramFactory()
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedHistogram = factory.buildAsHistogram(sample)
print("Histogram =", distribution)
print("Estimated histogram=", estimatedHistogram)
estimatedHistogram = factory.buildAsHistogram(sample, 0.1)
print("Histogram =", distribution)
print("Estimated histogram=", estimatedHistogram)
estimatedHistogram = factory.buildAsHistogram(sample, 15)
print("Histogram =", distribution)
print("Estimated histogram=", estimatedHistogram)
first = -2.
width = ot.Point(5, 1.)
estimatedHistogram = factory.buildAsHistogram(sample, first, width)
