1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
|
#! /usr/bin/env python
from matplotlib import pyplot as plt
from openturns.viewer import PlotDesign
import openturns as ot
samplesize = 12
# Plot 2D - basic
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 2)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design)
# Plot 3D - basic
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 3)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design)
# Plot 2D - set bounds and subdivisions
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 2)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design, bounds, [10, 10])
# Plot 3D - set bounds and subdivisions
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 3)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design, bounds, [10, 10, 10])
# Plot 2D - advanced - enable ticks
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 2)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design, bounds, [10, 10], enableTicks=True)
fig.set_size_inches(12, 12)
# Plot 3D - advanced - enable ticks
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 3)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design, bounds, [10, 10, 10], enableTicks=True)
fig.set_size_inches(12, 12)
# Plot 2D - advanced - unequal number of divisions
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 2)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design, bounds, [10, 5])
# Plot 3D - advanced - unequal number of divisions
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 3)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = PlotDesign(design, bounds, [10, 5, 3])
# Plot 2D - set figure prior to calling the plot
distribution = ot.JointDistribution([ot.Uniform(0.0, 1.0)] * 2)
bounds = distribution.getRange()
design = distribution.getSample(samplesize)
fig = plt.figure()
fig = PlotDesign(design, figure=fig)
|
