[SciPy-User] scipy.optimize.fixed_point -- TypeError: can't multiply sequence by non-int of type 'float'
Warren Weckesser
warren.weckesser@enthought....
Wed Sep 5 07:37:58 CDT 2012
On Wed, Sep 5, 2012 at 7:33 AM, Warren Weckesser <
warren.weckesser@enthought.com> wrote:
>
>
> On Tue, Sep 4, 2012 at 2:06 PM, Ted To <rainexpected@theo.to> wrote:
>
>> Hi,
>>
>> I'm having trouble figuring out what I'm doing wrong here. I have a
>> function br(p,q) defined where p and q are lists of length 2 and I'm
>> trying to compute the fixed point of br for a given q. E.g.,
>> fixed_point(br,x0=p,args=(q,)). The problem is that I get a TypeError
>> (the Traceback at the end of this message). I don't know if this could
>> be the cause or not but br is defined as the argmin of another function
>> which I've defined (the code is currently pretty ugly but you can find
>> it at http://pastebin.com/rEc6cKfd).
>>
>> Any help or suggestions will be much appreciated.
>>
>> Thanks,
>> Ted To
>>
>> TypeError Traceback (most recent call
>> last)
>> /usr/lib/python2.7/dist-packages/IPython/utils/py3compat.pyc in
>> execfile(fname, *where)
>> 176 else:
>> 177 filename = fname
>> --> 178 __builtin__.execfile(filename, *where)
>>
>>
>> /home/ted/texfiles/smoking/quality-computations/quality-provision-equilibrium.py
>> in <module>()
>> 66 return fixed_point(br,x0=p,args=(q,))
>> 67
>> ---> 68 print eqP(p,q)
>> 69
>> 70 def gstar(q):
>>
>>
>> /home/ted/texfiles/smoking/quality-computations/quality-provision-equilibrium.py
>> in eqP(p, q)
>> 63
>> 64 def eqP(p,q):
>> ---> 65 print fixed_point(br,x0=p,args=(q,))
>> 66 return fixed_point(br,x0=p,args=(q,))
>> 67
>>
>> /usr/lib/python2.7/dist-packages/scipy/optimize/minpack.pyc in
>> fixed_point(func, x0, args, xtol, maxiter)
>> 509 p1 = func(p0, *args)
>> 510 p2 = func(p1, *args)
>> --> 511 d = p2 - 2.0 * p1 + p0
>> 512 p = where(d == 0, p2, p0 - (p1 - p0)*(p1 - p0) / d)
>> 513 relerr = where(p0 == 0, p, (p-p0)/p0)
>>
>> TypeError: can't multiply sequence by non-int of type 'float'
>>
>
>
> I suspect your function is returning a list in some cases.
>
Now that I reread your email, I see there was no need for me to "suspect"
this. In the link you provided, it shows that br returns [p0, p1]. Change
the return value to `array([p0, p1])` (and add the appropriate import of
`array`).
Warren
In the multivariate case, the fixed_point function expects the return
> value of your function to be a numpy array. Modify your code to ensure
> that br always return a numpy array, and see if that fixes the problem.
> (One option might be to pass in the parameters as arrays instead of lists.
> .e.g fixed_point(br, x0=p, args=(array(q),)), but that depends on how br is
> implemented.)
>
> Warren
>
>
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>
>
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