[SciPy-user] Pb with scipy.interpolate.spalde and numpy.float64

[LB]

Hi,

scipy.interpolate.spalde accepts float as first argument but does not
work with numpy.float64 :

With python's float :

In [166]: c, type(c)
Out[166]: (0.52752752752752752, <type 'float'>)

In [167]: x, y = interpolate.spalde(c, tck)

=> no pb.

With numpy.float64 :

In [168]: b, type(b)
Out[168]: (0.52752752752752752, <type 'numpy.float64'>)

In [169]: x, y = interpolate.spalde(b, tck)
---------------------------------------------------------------------------
<type 'exceptions.TypeError'> Traceback (most recent call
last)

/home/loic/Python/test_profil/<ipython console> in <module>()

/home/loic/tmp/bluelagoon/lib/python2.5/site-packages/scipy/
interpolate/fitpack.py in spalde(x, tck)
575 parametric = False
576 if parametric:
--> 577 return _ntlist(map(lambda c,x=x,t=t,k=k:spalde(x,
[t,c,k]),c))
578 else:
579 try: x=x.tolist()

/home/loic/tmp/bluelagoon/lib/python2.5/site-packages/scipy/
interpolate/fitpack.py in <lambda>(c, x, t, k)
575 parametric = False
576 if parametric:
--> 577 return _ntlist(map(lambda c,x=x,t=t,k=k:spalde(x,
[t,c,k]),c))
578 else:
579 try: x=x.tolist()

/home/loic/tmp/bluelagoon/lib/python2.5/site-packages/scipy/
interpolate/fitpack.py in spalde(x, tck)
581 try: x=list(x)
582 except: x=[x]
--> 583 if len(x)>1:
584 return map(lambda x,tck=tck:spalde(x,tck),x)
585 d,ier=_fitpack._spalde(t,c,k,x[0])

<type 'exceptions.TypeError'>: object of type 'float' has no len()

It seems to come from the method 'tolist' of numpy.float64, which does
not return a list :
In [174]: c.tolist()
---------------------------------------------------------------------------
<type 'exceptions.AttributeError'> Traceback (most recent call
last)

/home/loic/Python/test_profil/<ipython console> in <module>()

<type 'exceptions.AttributeError'>: 'float' object has no attribute
'tolist'

In [175]: b.tolist()
Out[175]: 0.52752752752752752

So my question is : why do numpy.float64 have a tolist method, and why
does it not return a list ?

for information,

In [179]: numpy.__version__, scipy.__version__
Out[179]: ('1.0.5.dev4854', '0.7.0.dev4004')

--
LB
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