Cristi Constantin wrote:
> Good day.
> I was following this discussion too.
> How about unicode_t ?
> I am trying to make the numpy tutorial you have on Cython Wiki, but
> instead of np.int_t i need numpy.unicode_ type.
> Do you have any idea how i could do that?
>
> Check this python code:
> import numpy as np
> a=np.array([0,1,2],np.unicode_)
> print a # array([u'0', u'1', u'2'], dtype='<U1')
> a[0]=u'\u2588'
> a[1]=u'\u00b6'
> a[2]=u'\u2248'
> a.astype('I')
> # UnicodeEncodeError: 'decimal' codec can't encode character u'\u2588'
> in position 0: invalid decimal Unicode string
> a.astype(np.uint32)
> # Same unicode error.
>
> What's the best "cast" i can do to have my Unicode Numpy Array?
> Thank you in advance.
This is very badly supported in Cython, mostly because I have no idea
what usecases people have for such arrays. Would you care to describe
your usecase?
But if you want to modify Unicode 1-length strings as an integer type,
you can do (in Cython)
cdef np.ndarray[some_int_type, cast=True] arr = a
Here, some_int_type needs to be an integer of the same size as
"a.itemsize" would give you above -- I don't know how NumPy stored
Unicode strings so I actually can't tell you the right one.
--
Dag Sverre
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