def pdf_phi2 ( x ):
return sin_pi_distr.pdf( x )
''' Created on 29.09.2011 @author: axel ''' from stats.pdistrib.sin2x_distr import sin2x from stats.pdistrib.sin_pi_half_minus_x_distr import sin_pi_distr import numpy as np from math import pi as Pi from matplotlib import pyplot as plt x = np.linspace( 0, Pi / 2 , 10000 ) pdf = sin_pi_distr.pdf( x ) pdf[0] = 0 sinstats = sin_pi_distr.stats() #plt.plot( x, y2 ) plt.fill( x, pdf, facecolor = 'green', alpha = 0.2 , hatch = '/' ) plt.axvline( x = sinstats[0] , linewidth = 2.0, color = 'green' , label = 'Erwartungswert' ) plt.xlabel( '$\phi$ in [$Rad$]', fontsize = 20 ) plt.ylabel( '$f_\phi (\phi)$', fontsize = 22 ) plt.title( 'Dichtefunktion PDF $sin(0,5\pi-\phi)$' , fontsize = 20 ) legend_names = ['Erwartungswert $E_\phi(\phi)$', 'Dichtefunktion $sin(0,5\pi-\phi)$'] plt.legend( legend_names, 'upper right' ) plt.xlim( 0, Pi / 2 ) plt.show() ppf_x = np.linspace( 0, 1 , 10000 ) ppf = sin_pi_distr.ppf( ppf_x ) ppf[-1] = 0 nulls = np.zeros( len( ppf ) ) #plt.fill( x, ppf, facecolor = 'red', alpha = 0.2 , hatch = '/' )
