{{ objname }}
{{ underline }}{{ underline }}

.. plot::
    :include-source: False

    import openturns as ot
    from matplotlib import pyplot as plt
    from openturns.viewer import View
    filteringWindow = ot.{{ objname }}()
    numPoints = 512
    data = ot.Sample(numPoints, 2)
    for i in range(numPoints):
        x = -0.1 + (1.2 * i) / (numPoints - 1.0)
        data[i, 0] = x 
        data[i, 1] = filteringWindow(x) 
    graph = ot.Graph()
    graph.setXTitle('$tau$')
    graph.setYTitle('W')
    graph.add(ot.Curve(data))
    graph.setColors(['red'])
    fig = plt.figure(figsize=(10, 4))
    plt.suptitle(str(filteringWindow))
    filtering_axis = fig.add_subplot(111)
    View(graph, figure=fig, axes=[filtering_axis], add_legend=False)
       
.. currentmodule:: {{ module }}

.. autoclass:: {{ objname }}

  {% block methods %}
   .. automethod:: __init__
   {% endblock %}
