Revision: 7978 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7978&view=rev Author: fer_perez Date: 2009-11-21 00:30:37 +0000 (Sat, 21 Nov 2009)
Log Message: ----------- Make invariant density histogram clearer. Modified Paths: -------------- trunk/py4science/examples/logistic/exercise02.py Modified: trunk/py4science/examples/logistic/exercise02.py =================================================================== --- trunk/py4science/examples/logistic/exercise02.py 2009-11-21 00:26:41 UTC (rev 7977) +++ trunk/py4science/examples/logistic/exercise02.py 2009-11-21 00:30:37 UTC (rev 7978) @@ -66,9 +66,8 @@ return f -def invariant_density(mu, x0,cycles=1000000,ret_all=False): +def invariant_density(mu, x0,cycles=1000000,ret_all=False, bins=500): transients = 1000 - bins = 500 f = plt.figure() ax = f.add_subplot(111) logmap = Logistic(mu) @@ -94,7 +93,7 @@ return 1./(np.pi * np.sqrt( x*(1.-x))) # Don't start from 0.5, which is a fixed point! - f = invariant_density(1.0,0.567) + f = invariant_density(1.0, 0.567, bins=100) ax = f.gca() # avoid the edges: rho(x) is singular at 0 and 1! x0 = np.linspace(0.001, 0.999, 1000) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-checkins mailing list Matplotlib-checkins@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins