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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
# size of timeGrid
size = 6
dimension = 1
sample = NumericalSample(size, dimension)
for i in range(size):
for j in range(dimension):
sample[i, j] = i + j + 1
# TimeGrid
timeGrid = RegularGrid(0.0, 1.0 / (size - 1), size)
# TimeSeries
timeSeries = TimeSeries(timeGrid, sample)
# We create an empty ProcessSample with default constructor
psample0 = ProcessSample()
psample0.setName("PSample0")
print("Default constructor")
print("psample0=", psample0)
# We create an empty ProcessSample with timeGrid, size and dimension
# arguments
psample1 = ProcessSample(timeGrid, 4, dimension)
psample1.setName("PSample1")
print("Constructor based on size, dimension and timeGrid")
print("psample1=", psample1)
# change the first component using operator []
psample1[0] = timeSeries
print("changing psample1[0] with []")
print("psample1[0]=", (psample1[0]))
# We create a ProcessSample with size and timeSeries arguments
psample2 = ProcessSample(3, timeSeries)
psample2.setName("PSample2")
print("Constructor based on size / timeSeries")
print("psample2=", psample2)
# TimeSeriesCollection
## collection = TimeSeriesCollection()
# collection.add(timeSeries)
## sample *= [0.1]
## newtimeSeries = TimeSeries(timeGrid, sample)
# collection.add(newtimeSeries)
# We create a ProcessSample with collection arguments arguments
## psample3 = ProcessSample(collection)
# psample3.setName("PSample3")
# print "Constructor based on collection "
# print "psample3=", psample3
## ts = psample3[1]
# print "last element of psample3=", (ts)
# print "psample3 mean=", psample3.computeMean()
# print "psample3 temporal mean=", psample3.computeTemporalMean()
except:
import sys
print("t_ProcessSample_std.py", sys.exc_info()[0], sys.exc_info()[1])
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