# Create an aggregated function¶

In this example we are going to build a function that stacks all the outputs from several functions

[1]:

from __future__ import print_function
import openturns as ot
import math as m

[2]:

# assume a list of functions to aggregate
functions = list()
functions.append(ot.SymbolicFunction(['x1', 'x2', 'x3'],
['x1^2 + x2', 'x1 + x2 + x3']))
functions.append(ot.SymbolicFunction(['x1', 'x2', 'x3'],
['x1 + 2 * x2 + x3', 'x1 + x2 - x3']))

[3]:

# create the aggregated function
function = ot.AggregatedFunction(functions)

[4]:

# evaluate the function
x = [1.0, 2.0, 3.0]
y = function(x)
print('x=', x, 'y=', y)

x= [1.0, 2.0, 3.0] y= [3,6,8,0]