this is a code for drawing a graph of poisson pdf with matplotlib.
#!/usr/bin/env python #coding: utf-8 import pylab as pl import numpy as np def get_factorial(n): if n == 0: return 1 else: return n * get_factorial(n-1) def get_probability(p, n, r): mew = float(n) * p denom = (mew ** r) * np.exp(-1 * mew) molec = get_factorial(r) return denom/float(molec) def plot_poisson_distrib(p, n, lt, lab): xl = [nr for nr in range(0, 20, 1)] yl = [get_probability(p, n, nr) for nr in range(0, 20, 1)] pl.plot(xl, yl, lt, label=lab) def main(): p = 0.02 mew = 1.0 plot_poisson_distrib(p, (mew / p), 'b-', 'P(%f,%f)' %(mew,p)) mew = 2.5 plot_poisson_distrib(p, (mew / p), 'r-', 'P(%f,%f)' %(mew,p)) mew = 5.0 plot_poisson_distrib(p, (mew / p), 'g-', 'P(%f,%f)' %(mew,p)) pl.ylabel('p(x)') pl.xlabel('x') pl.legend() pl.show() if __name__ == "__main__": main()
and output of above code is:
"super....!!!
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