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Polynomial chaos graphsΒΆ
In this example we are going to create some graphs useful after the launch of a polynomial chaos algorithm. More precisely, we draw some members of the 1D polynomial family.
import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt
ot.Log.Show(ot.Log.NONE)
def drawFamily(factory, degreeMax=5):
# Load all the valid colors
colorList = ot.Drawable.BuildDefaultPalette(degreeMax)
# Create a fine title
titleJacobi = factory.__class__.__name__.replace("Factory", "") + " polynomials"
# Create an empty graph which will be fulfilled
# with curves
graphJacobi = ot.Graph(titleJacobi, "z", "polynomial values", True, "topright")
# Fix the number of points for the graph
pointNumber = 101
# Bounds of the graph
xMinJacobi = -1.0
xMaxJacobi = 1.0
# Get the curves
for i in range(degreeMax):
graphJacobi_temp = factory.build(i).draw(xMinJacobi, xMaxJacobi, pointNumber)
graphJacobi_temp_draw = graphJacobi_temp.getDrawable(0)
graphJacobi_temp_draw.setLegend("degree " + str(i))
graphJacobi_temp_draw.setColor(colorList[i])
graphJacobi.add(graphJacobi_temp_draw)
return graphJacobi
Draw the 5-th first members of the Jacobi family.
Create the Jacobi polynomials family using the default Jacobi.ANALYSIS parameter set
alpha = 0.5
beta = 1.5
jacobiFamily = ot.JacobiFactory(alpha, beta)
graph = drawFamily(jacobiFamily)
view = viewer.View(graph)
laguerreFamily = ot.LaguerreFactory(2.75, 1)
graph = drawFamily(laguerreFamily)
view = viewer.View(graph)
graph = drawFamily(ot.HermiteFactory())
view = viewer.View(graph)
plt.show()
Total running time of the script: ( 0 minutes 0.256 seconds)