Memory error with quadratic interpolation

[Isaac Won]

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