On Tuesday, January 22, 2013 10:06:41 PM UTC-6, Isaac Won wrote:
> Hi all,
>
>
>
> I have tried to use different interpolation methods with Scipy. My code seems
> just fine with linear interpolation, but shows memory error with quadratic. I
> am a novice for python. I will appreciate any help.
>
>
>
> #code
>
> f = open(filin, "r")
>
> for columns in ( raw.strip().split() for raw in f ):
>
> a.append(columns[5])
>
> x = np.array(a, float)
>
>
>
>
>
> not_nan = np.logical_not(np.isnan(x))
>
> indices = np.arange(len(x))
>
> interp = interp1d(indices[not_nan], x[not_nan], kind = 'quadratic')
>
>
>
> p = interp(indices)
>
>
>
> ------------------------------------------------------------------------
>
> The number of data is 31747.
>
>
>
> Thank you,
>
>
>
> Isaac
I really appreciate to both Ulich and Oscar.
To Oscar
My actual error message is:
File
"/lustre/work/apps/python-2.7.1/lib/python2.7/site-packages/scipy/interpolate/interpolate.py",
line 311, in __init__
self._spline = splmake(x,oriented_y,order=order)
File
"/lustre/work/apps/python-2.7.1/lib/python2.7/site-packages/scipy/interpolate/interpolate.py",
line 809, in splmake
coefs = func(xk, yk, order, conds, B)
File
"/lustre/work/apps/python-2.7.1/lib/python2.7/site-packages/scipy/interpolate/interpolate.py",
line 530, in _find_smoothest
u,s,vh = np.dual.svd(B)
File
"/lustre/work/apps/python-2.7.1/lib/python2.7/site-packages/scipy/linalg/decomp_svd.py",
line 91, in svd
full_matrices=full_matrices, overwrite_a = overwrite_a)
MemoryError
--------------------------------------------------------------------------
Thank you,
Hoonill
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