File: plot_event_manipulation.py

package info (click to toggle)
openturns 1.26-4
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 67,708 kB
  • sloc: cpp: 261,605; python: 67,030; ansic: 4,378; javascript: 406; sh: 185; xml: 164; makefile: 101
file content (47 lines) | stat: -rw-r--r-- 964 bytes parent folder | download
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
"""
Simulate an Event
=================
"""

# %%
# In this example we are going to define an Event from a scalar variable :math:`Y` in the form:
#
# .. math::
#    Y > T
#
# with :math:`T` a scalar threshold
#

# %%
import openturns as ot


# %%
# Create model f(x) = x1 + 2*x2
model = ot.SymbolicFunction(["x1", "x2"], ["x1+2*x2"])

# Create the input distribution and random vector X
inputDist = ot.Normal(2)
inputDist.setDescription(["X1", "X2"])

inputVector = ot.RandomVector(inputDist)

# Create the output random vector Y=f(X)
outputVector = ot.CompositeRandomVector(model, inputVector)

# %%
# Create the event Y > 3
threshold = 3.0
event = ot.ThresholdEvent(outputVector, ot.Greater(), threshold)

# %%
# Realization as a Bernoulli
print("realization=", event.getRealization())

# %%
# Sample of 10 realizations as a Bernoulli
print("sample=", event.getSample(10))

# %%
# Build a standard event based on an event
standardEvent = ot.StandardEvent(event)