You could run the django-cube tests !
If you don't give me the error trace, I cannot really help you !
On Sep 11, 8:10 pm, Lucian Romi <romi.luc...@gmail.com> wrote:
> Thanks for your help. It's very clear.
> I used measure_list method but it thrown and exception.
> Here's how I did,
> In my app's ModelAdmin I override changelist_view method.
> I was able to get the queryset, then instantied cube with this queryset.
> If I didn't call measure_list, everything works fine. But if I call
> it, there is exception, but django didn't give much useful infomation
> in stdout, and I'm going to debug it later.
> If you aware of anything I'm doing wrong, please let me know. Or is
> there any sample I can quickly run just to verify there is nothing
> wrong with my enviroment.
> Thanks.
>
> On Sat, Sep 11, 2010 at 7:40 AM, sebastien piquemal <seb...@gmail.com> wrote:
> > class MyModelCube(Cube):
> > my_dimension = Dimension(field='my_float_field__range',
> > sample_space=[(0, 1.5), (1.5, 6.2)])
>
> > �...@static
> > def aggregation(queryset):
> > return queryset.count()/MyModel.objects.count() * 100
>
> > Basically when you declare a dimension, you can use any field-lookup
> > from Django, so when I write 'my_float_field__range' it means :
> > -> You said in your question "There is a float field in my
> > model(table)", as you didn't tell the name of your "float field", I
> > wrote : 'my_float_field'
> > -> You said that you want the percentage in each range... so I used
> > the field look-up '__range' from Django.
>
> > If your "float field" is called "gnagna", then you would declare your
> > dimension like this : Dimension(field="gnagna__range", ...
>
> > Ok ... when you have declared this, you have a Cube class. After, you
> > need to instantiate an object from this class, in order to use its
> > methods ! To do this, you call the Cube constructor, with a queryset
> > as argument :
> >>>> instantiated_cube = MyModelCube(a_queryset)
>
> > Then, and only then, you can use the methods (all the calculations
> > will be based on "a_queryset"). For exemple, if you want a list of
> > measures :
> >>>> my_measures = instantiated_cube.measure_list("my_dimension")
>
> > Considering the sample space I used to declare the dimension, this
> > should give something like this :
> >>>> my_measures
> > [65, 29]
> > Where 65 means "65% of the floats are in the range [0, 1.5]", 29 means
> > "29% of the floats are in the range [1.5, 6.2]"
>
> > Is it clearer like this ?
>
> > On Sep 11, 4:04 am, Lucian Romi <romi.luc...@gmail.com> wrote:
> >> Also, need I define "my_float_field__range"? Thanks
>
> >> On Fri, Sep 10, 2010 at 6:52 PM, Lucian Romi <romi.luc...@gmail.com> wrote:
> >> > Hi, Sebastien
>
> >> > Follow your instruction, I was able to create a Cube object and define
> >> > sample_space.
> >> > However, I don't know how to retrieve the measure result. Can you tell
> >> > me how to do that?
> >> > What do you mean by "instantiate a cube with a base queryset, and use
> >> > one of the methods
> >> > provided to calculate the statistics"
>
> >> > Thanks.
>
> >> > On Tue, Aug 31, 2010 at 1:33 AM, sebastien piquemal <seb...@gmail.com>
> >> > wrote:
> >> >> To integrate a calculated value with search features from admin app, I
> >> >> don't know any other way than create and save a calculated field on
> >> >> your model ...
> >> >> This calculated field, you can calculate it with cube ... but if you
> >> >> don't use the Cube for any other statistic than that, it is too much
> >> >> overhead.
>
> >> >> On Aug 31, 5:30 am, Lucian Romi <romi.luc...@gmail.com> wrote:
> >> >>> Thanks Sebastien.
>
> >> >>> Can I integrate Cube with filter and search features from the admin
> >> >>> app?
> >> >>> Also, to make things simple, I'm going to use GChart, but I need
> >> >>> statistic data.
> >> >>> Let me download Cube and spend some time on it. Thanks.
>
> >> >>> On Mon, Aug 30, 2010 at 4:16 PM, sebastien piquemal <seb...@gmail.com>
> >> >>> wrote:
> >> >>> > I created an app to easily generate the stats part :
> >> >>> >http://code.google.com/p/django-cube/;howeveryou still have to
> >> >>> > create the chart, for example with matplotlib :
> >> >>> >http://www.scipy.org/Cookbook/Matplotlib/Django.
>
> >> >>> > To create your stats with django-cube, you can use this code :
>
> >> >>> > from cube.models import Cube, Dimension
>
> >> >>> > class MyModelCube(Cube):
> >> >>> > my_dimension = Dimension(field='my_float_field__range',
> >> >>> > sample_space=[(0, 1.5), (1.5, 6.2)])
>
> >> >>> > �...@static
> >> >>> > def aggregation(queryset):
> >> >>> > return queryset.count()/MyModel.objects.count() * 100
>
> >> >>> > - You specify one dimension for the cube, this dimension refers to
> >> >>> > the
> >> >>> > field lookup 'my_float_field__range' (where 'my_float_field' is of
> >> >>> > course the name of your field)
> >> >>> > - then you specify a sample space for this dimension, which in fact
> >> >>> > means that you specify for which ranges the stats will be calculated
> >> >>> > (here, on the ranges (0, 1.5) and (1.5, 6.2))
> >> >>> > - then you write your aggregation function, which is in your case a
> >> >>> > percentage calculation ('queryset' is the queryset filtered according
> >> >>> > to the dimensions you will use while querying the cube, divided by
> >> >>> > the
> >> >>> > total, multiplied by 100)
> >> >>> > - finally, you instantiate a cube with a base queryset, and use one
> >> >>> > of
> >> >>> > the methods provided to calculate the statistics
>
> >> >>> > Ok, the doc is kind of bad for now, but I can help you if you want to
> >> >>> > use it but you don't manage to do so.
>
> >> >>> > On Aug 30, 8:24 pm, hollando <romi.luc...@gmail.com> wrote:
> >> >>> >> I want to make a statistic app.
> >> >>> >> There is a float field in my model(table).I want to use a chart to
> >> >>> >> show what's the percentage in each range.
> >> >>> >> Any suggestion to make such and app that can fit into django model.
> >> >>> >> Thanks.
>
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