[Numpy-discussion] Documentation for dtypes with named fields
josef.pktd at gmail.com
josef.pktd at gmail.com
Tue Mar 16 12:11:44 EDT 2010
On Tue, Mar 16, 2010 at 12:08 PM, <josef.pktd at gmail.com> wrote:
> On Tue, Mar 16, 2010 at 11:52 AM, Skipper Seabold <jsseabold at gmail.com> wrote:
>> On Tue, Mar 16, 2010 at 11:46 AM, <josef.pktd at gmail.com> wrote:
>>> On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold <jsseabold at gmail.com> wrote:
>>>> On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
>>>> <Sam.Tygier at hep.manchester.ac.uk> wrote:
>>>>> Thanks for those responses.
>>>>>
>>>>> could the dtype pages in the numpy reference link to the basics.rec page in the user guide?
>>>>>
>>>>> there seem to be some gotchas in list within a list notation.
>>>>>
>>>>> if i have
>>>>> a = array([0,0.1,0.2,0.3,0.4])
>>>>> b = array((0,0.1,0.2,0.3,0.4), dtype=[('a','f'), ('b','f'), ('c','f'), ('d','f'),('f','f')])
>>>>>
>>>>> then
>>>>>>>> a[[0,1,4]]
>>>>> array([ 0. , 0.1, 0.4])
>>>>>>>> a[[4,1,0]]
>>>>> array([ 0.4, 0.1, 0. ])
>>>>>
>>>>> but
>>>>>>>> b[['a','b','f']]
>>>>> (0.0, 0.10000000149011612, 0.40000000596046448)
>>>>>>>> b[['f','b','a']]
>>>>> (0.0, 0.10000000149011612, 0.40000000596046448)
>>>>>
>>>>> so i always get the vales back in the original order. is the by design, or a bug?
>>>>>
>>>>
>>>> I've been bitten by this before too and asked the same question with
>>>> no response. I think it's just a limitation of the design of
>>>> structured arrays.
>>>
>>> It might be by historical design, structured arrays are not really
>>> designed for slicing but I think more like sets of variables.
>>>
>>> But it means it cannot be used directly for the old pattern
>>>
>>> [arr(name) for name in listofnames]
>>>
>>> Skipper, Is this subset selection documented anywhere? I only know
>>> about it because you showed the example.
>>>
>>
>> Just added it and a link to the cookbook for recarrays. I don't think
>> it will show up until the doc wiki changes are applied(?).
>>
>> http://docs.scipy.org/numpy/docs/numpy.doc.structured_arrays/
>
> looks good, together with the cookbook on .view() it almost covers the
> FAQs for structured arrays
>
> I changed "OK to apply:" to Yes so it will get into the docs soon
I also changed the aka to and, to avoid the confusion between
recarrays and structured arrays (another FAQ)
Structured Arrays (aka Record Arrays)
to
Structured Arrays (and Record Arrays)
Josef
>
> Josef
>>
>> Skipper
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>
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