1{{ objname }}
2{{ underline }}{{ underline }}
3
4.. plot::
5    :include-source: False
6
7    import openturns as ot
8    from matplotlib import pyplot as plt
9    from openturns.viewer import View
10
11    filteringWindow = ot.{{ objname }}()
12    numPoints = 512
13    data = ot.Sample(numPoints, 2)
14    for i in range(numPoints):
15        x = -0.1 + (1.2 * i) / (numPoints - 1.0)
16        data[i, 0] = x
17        data[i, 1] = filteringWindow(x)
18    graph = ot.Graph(str(filteringWindow), '$tau$', 'W', True)
19    graph.add(ot.Curve(data))
20    graph.setColors(['red'])
21    fig = plt.figure(figsize=(10, 4))
22    filtering_axis = fig.add_subplot(111)
23    View(graph, figure=fig, axes=[filtering_axis], add_legend=False)
24
25.. currentmodule:: {{ module }}
26
27.. autoclass:: {{ objname }}
28
29  {% block methods %}
30   .. automethod:: __init__
31   {% endblock %}
32