[Numpy-discussion] A bug in numpy.random.shuffle?
josef.pktd at gmail.com
josef.pktd at gmail.com
Thu Sep 5 23:16:04 EDT 2013
On Thu, Sep 5, 2013 at 9:33 PM, Charles R Harris
<charlesr.harris at gmail.com> wrote:
>
>
>
> On Thu, Sep 5, 2013 at 3:40 PM, <josef.pktd at gmail.com> wrote:
>>
>> >> >
>> >> > In [4]: x[0], x[1] = x[1], x[0]
>>
>> Is this ever predictable?
>> sounds to me like the inplace question a few days ago
>> result depends on the underlying iterator
>>
>> >>> a = np.arange(5*3).reshape((5,3), order='F')
>> >>> a
>> array([[ 0, 5, 10],
>> [ 1, 6, 11],
>> [ 2, 7, 12],
>> [ 3, 8, 13],
>> [ 4, 9, 14]])
>> >>> b = a[::-1]
>> >>> b
>> array([[ 4, 9, 14],
>> [ 3, 8, 13],
>> [ 2, 7, 12],
>> [ 1, 6, 11],
>> [ 0, 5, 10]])
>> >>> b[0], b[1] = b[1], b[0]
>> >>> b
>> array([[ 3, 8, 13],
>> [ 3, 8, 13],
>> [ 2, 7, 12],
>> [ 1, 6, 11],
>> [ 0, 5, 10]])
>> >>> a
>> array([[ 0, 5, 10],
>> [ 1, 6, 11],
>> [ 2, 7, 12],
>> [ 3, 8, 13],
>> [ 3, 8, 13]])
>>
>> The example works as "expected" if a is 1d
>
>
> The rows are views, so that is expected. What is unexpected is that the
> void/string scalars are also views.
I don't see it with string, only with structured dtypes IIUC
>>> b = np.arange(5).astype('S2')
>>> b
array(['0', '1', '2', '3', '4'],
dtype='|S2')
>>> b[1], b[0] = b[0], b[1]
>>> b
array(['1', '0', '2', '3', '4'],
dtype='|S2')
>>> b[0], b[1] = b[1], b[0]
>>> b
array(['0', '1', '2', '3', '4'],
dtype='|S2')
>>> type(b[0])
<type 'numpy.string_'>
>>> np.__version__
'1.5.1'
>
> Chuck
>
>
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