MeixnerFactory ======================== .. plot:: :include-source: False import openturns as ot import numpy as np from matplotlib import pyplot as plt n_functions = 8 function_factory = ot.MeixnerFactory() if function_factory.getClassName() == 'KrawtchoukFactory': function_factory = ot.MeixnerFactory(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:: openturns .. autoclass:: MeixnerFactory .. automethod:: __init__