{{ objname }}
{{ underline }}

.. plot::
    :include-source: False

    import openturns as ot
    import numpy as np
    from matplotlib import pyplot as plt
    n_functions = 8
    function_factory = ot.{{ objname }}()
    if function_factory.getClassName() == 'KrawtchoukFactory':
        function_factory = ot.{{ objname }}(n_functions, .5)
    functions = [function_factory.build(i) for i in range(n_functions)]
    measure = function_factory.getMeasure()
    if hasattr(measure, 'getA') and hasattr(measure, 'getB'):
        x_min = measure.getA()
        x_max = measure.getB()
    else:
        x_min = measure.computeQuantile(1e-3)[0]
        x_max = measure.computeQuantile(1. - 1e-3)[0]
    n_points = 200
    meshed_support = np.linspace(x_min, x_max, n_points)
    fig = plt.figure()
    ax = fig.add_subplot(111)
    for i in range(n_functions):
        plt.plot(meshed_support,
                 [functions[i](x) for x in meshed_support], lw=1.5,
                 label='$\phi_{' + str(i) + '}(x)$')
    plt.xlabel('$x$')
    plt.ylabel('$\phi_i(x)$')
    plt.xlim(x_min, x_max)
    plt.grid()
    box = ax.get_position()
    ax.set_position([box.x0, box.y0, box.width, box.height * 0.9])
    plt.legend(loc='upper center', bbox_to_anchor=(.5, 1.25), ncol=4)

.. currentmodule:: {{ module }}

.. autoclass:: {{ objname }}

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