Draw the empirical CDF¶
In this example we are going to draw the empirical CDF of an unidimensional sample.
import openturns as ot import openturns.viewer as viewer from matplotlib import pylab as plt ot.Log.Show(ot.Log.NONE)
Then create a sample from a gaussian distribution.
size = 100 normal = ot.Normal(1) sample = normal.getSample(size)
We draw the empirical CDF based on the UserDefined distribution. By default, the drawCDF method requires no input argument.
distribution = ot.UserDefined(sample) graph = distribution.drawCDF() view = viewer.View(graph)
If required, we can specify the interval that we want to draw. In the following example, these bounds are computed from the minimum and the maximum of the sample.
xmin = sample.getMin() - 2.0 xmax = sample.getMax() + 2.0 graph = ot.UserDefined(sample).drawCDF(xmin, xmax) view = viewer.View(graph) plt.show()