# Polynomial chaos graphs¶

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.

```from __future__ import print_function
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 fullfilled
# 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])
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 0.295 seconds)

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