Thanks. With this explanation I was able to get things to work.
On Sep 14, 2011, at 12:41 PM, Benjamin Root wrote:
> On Wed, Sep 14, 2011 at 2:17 PM, Raymond Hawkins <rhawk...@earthlink.net>
> wrote:
> I'm getting odd behavior when I try to use fmin and pylab in the same
> program. The issue is illustrated in the code snippet below. As written, fmin
> won't work: the "print xopt" simply returns the contents of x0 as assigned in
> the line before fmin. If the "from pylab import *" line is commented out,
> however, then fmin runs as expected.
>
> I'm running python 2.7.2 on a MacBook Pro with a recent install & upgrade of
> scipy and matplotlib via macports. Any suggestions would be appreciated.
>
> -------------------------------------
>
> #!/opt/local/bin/python
>
> from scipy import *
> from scipy.optimize import fmin
> import matplotlib
> matplotlib.use('MacOSX')
> from pylab import *
>
> def rosen(x): # The Rosenbrock function
> return sum(100.0*(x[1:]-x[:-1]**2.0)**2.0 + (1-x[:-1])**2.0)
>
> x0 = [1.3, 0.7, 0.8, 1.9, 1.2]
>
> xopt = fmin(rosen, x0)
>
> print xopt
>
> Because pylab brings the numpy namespace into the current namespace, numpy's
> fmin is imported and replaces the previously def'ed fmin from scipy.optimize.
> Numpy's fmin function is completely different from scipy's fmin. Try
> putting the "from scipy.optimize import fmin" after the pylab import line.
> Or, do something like "from scipy.optimize import fmin as fminimize" to avoid
> name collision.
>
> I hope that helps.
>
> Ben Root
>
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