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How does one wrap numpy array types?

I'd like to make a class extending the numpy array base type,

class LemmaMatrix(numpy.ndarray):
    @classmethod
    def init_from_corpus(cls, ...): cls(numpy.empty(...))

But apparently, it will not allow multi-dimensional array types. Is there a way around this? Thanks in advance!

ndarray(empty([3, 3]))
TypeError: only length-1 arrays can be converted to Python scalars
like image 793
gatoatigrado Avatar asked May 17 '10 21:05

gatoatigrado


1 Answers

import numpy as np
class LemmaMatrix(np.ndarray):
    def __new__(subtype,data,dtype=None):
        subarr=np.empty(data,dtype=dtype)
        return subarr

lm=LemmaMatrix([3,3])
print(lm)
# [[  3.15913337e-260   4.94951870e+173   4.88364603e-309]
#  [  1.63321355e-301   4.80218258e-309   2.05227026e-287]
#  [  2.10277051e-309   2.07088188e+289   7.29366696e-304]]

You may also want read this guide for more information on how to subclass ndarray.

like image 135
unutbu Avatar answered Sep 21 '22 07:09

unutbu