[Numpy-discussion] BOF notes: Fernando's proposal: NumPy ndarray with named axes
Joshua Holbrook
josh.holbrook@gmail....
Fri Jul 9 20:11:37 CDT 2010
On Fri, Jul 9, 2010 at 4:56 PM, Keith Goodman <kwgoodman@gmail.com> wrote:
> On Fri, Jul 9, 2010 at 5:52 PM, Joshua Holbrook <josh.holbrook@gmail.com> wrote:
>> On Fri, Jul 9, 2010 at 4:22 PM, Keith Goodman <kwgoodman@gmail.com> wrote:
>>> On Fri, Jul 9, 2010 at 5:00 PM, Christopher Barker
>>> <Chris.Barker@noaa.gov> wrote:
>>>> Keith Goodman wrote:
>>>>> On Fri, Jul 9, 2010 at 4:05 PM, Christopher Barker
>>>>> <Chris.Barker@noaa.gov> wrote:
>>>>>
>>>>>> So what would you get if you wanted:
>>>>>>
>>>>>> MyDataArray['jones':'wilson']
>>>>>>
>>>>>> or
>>>>>>
>>>>>> MyDataArray.names[slice('jones','wilson')]
>>>>>>
>>>>>> or whatever the syntax would be?
>>>>>>
>>>>>> If it was in alphabetical order, you'd be all set, but what it if
>>>>>> wasn't? It would be pretty cool if you could get an alphabetical slice.
>>>>>
>>>>> If it sorted the data automatically then you couldn't turn off the
>>>>> sorting.
>>>>
>>>> sure -- but what would it mean to ask for a slice by name without
>>>> sorting? If you want it in the order it happens to be in, you'd use
>>>> numerical slicing (at least that's the use case I can imagine).
>>>
>>> That is true. It would just save you from having to look up the index value.
>>>
>>> Another handy method would take tick and axis as input and return the index:
>>> http://larry.sourceforge.net/reference.html#la.larry.labelindex
>>>
>>>>> Without automatic sorting the user gets to decide whether or
>>>>> not to sort before indexing. A sort ticks along axis function would be
>>>>> useful, sort of like
>>>>> http://larry.sourceforge.net/reference.html#la.larry.sortaxis.
>>>>
>>>> Yup -- that's nice, and would take care of most issues.
>>>>
>>>> -Chris
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> Christopher Barker, Ph.D.
>>>> Oceanographer
>>>>
>>>> Emergency Response Division
>>>> NOAA/NOS/OR&R (206) 526-6959 voice
>>>> 7600 Sand Point Way NE (206) 526-6329 fax
>>>> Seattle, WA 98115 (206) 526-6317 main reception
>>>>
>>>> Chris.Barker@noaa.gov
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>>
>> Idea: What if we specified axes/ticks like this (using a 2-d example I
>> made up for myself):
>>
>> punnet=DataArray([[1,2],[2,4]], {'row': ['a','A'], 'column': ['a','A']})
>>
>> That is, use a dictionary instead of nested tuples or separate lists?
>
> It is easier to read than the current tuple of labels, ticks. But
> dictionaries are not ordered. So there is no way for the user to
> control the ordering of the axes in your example. But I'm just saying
> that because I'd like to have separate labels and ticks :)
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>
d-oh >_< That would be a problem, wouldn't it? I feel dumb now.
Another, hopefully better idea, then--How about:
punnet=DataArray([[1,2],[2,4]], ('row', ['a', 'A']), ('col', ['a', 'A']))
That is, similar to how it is now, but using some *args action to
avoid the extra set of parentheses? Maybe you could also use **kwargs
to use axes=[] and ticks=[[],[]] action in order to give us both
methods. Could make things mighty complicated though. :/
I think I like being able to group ticks with their axis, so I know
which ticks belong to which axis without having to scan back-and-forth
between them to match them up. Do you think you can explain why you
would prefer to separate labels and ticks?
--Josh
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