Re: Staticstic app, ask for idea.

[sebastien piquemal]

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  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  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  wrote:
> >> Also, need I define "my_float_field__range"? Thanks
>
> >> On Fri, Sep 10, 2010 at 6:52 PM, Lucian Romi  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  
> >> > 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  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  
> >> >>> 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 

Re: Staticstic app, ask for idea.

[Lucian Romi]

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  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  wrote:
>> Also, need I define "my_float_field__range"? Thanks
>>
>> On Fri, Sep 10, 2010 at 6:52 PM, Lucian Romi  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  
>> > 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  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  
>> >>> wrote:
>> >>> > I created an app to easily generate the stats part :
>> >>> >http://code.google.com/p/django-cube/;however you 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 

Re: Staticstic app, ask for idea.

[sebastien piquemal]

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  wrote:
> Also, need I define "my_float_field__range"? Thanks
>
> On Fri, Sep 10, 2010 at 6:52 PM, Lucian Romi  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  
> > 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  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  
> >>> wrote:
> >>> > I created an app to easily generate the stats part :
> >>> >http://code.google.com/p/django-cube/;however you 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  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.
>
> >>> > --
> >>> > You received this message because you are subscribed to the Google 
> >>> > Groups "Django users" group.
> >>> > 

Re: Staticstic app, ask for idea.

[Lucian Romi]

Also, need I define "my_float_field__range"? Thanks

On Fri, Sep 10, 2010 at 6:52 PM, Lucian Romi  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  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  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  
>>> wrote:
>>> > I created an app to easily generate the stats part :
>>> >http://code.google.com/p/django-cube/; however you 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  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.
>>>
>>> > --
>>> > You received this message because you are subscribed to the Google Groups 
>>> > "Django users" group.
>>> > To post to this group, send email to django-us...@googlegroups.com.
>>> > To unsubscribe from this group, send email to 
>>> > django-users+unsubscr...@googlegroups.com.
>>> > For more options, visit this group 
>>> > athttp://groups.google.com/group/django-users?hl=en.
>>
>> --
>> You received this message because you are subscribed to the Google Groups 
>> "Django users" group.
>> To post to this group, send email to django-us...@googlegroups.com.
>> To unsubscribe from this group, send email to 
>> django-users+unsubscr...@googlegroups.com.
>> For more options, visit this group at 
>> http://groups.google.com/group/django-users?hl=en.
>>
>>
>

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Re: Staticstic app, ask for idea.

[Lucian Romi]

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  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  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  wrote:
>> > I created an app to easily generate the stats part :
>> >http://code.google.com/p/django-cube/; however you 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  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.
>>
>> > --
>> > You received this message because you are subscribed to the Google Groups 
>> > "Django users" group.
>> > To post to this group, send email to django-us...@googlegroups.com.
>> > To unsubscribe from this group, send email to 
>> > django-users+unsubscr...@googlegroups.com.
>> > For more options, visit this group 
>> > athttp://groups.google.com/group/django-users?hl=en.
>
> --
> You received this message because you are subscribed to the Google Groups 
> "Django users" group.
> To post to this group, send email to django-us...@googlegroups.com.
> To unsubscribe from this group, send email to 
> django-users+unsubscr...@googlegroups.com.
> For more options, visit this group at 
> http://groups.google.com/group/django-users?hl=en.
>
>

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Re: Staticstic app, ask for idea.

[sebastien piquemal]

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  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  wrote:
> > I created an app to easily generate the stats part :
> >http://code.google.com/p/django-cube/; however you 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  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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Re: Staticstic app, ask for idea.

[Lucian Romi]

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  wrote:
> I created an app to easily generate the stats part :
> http://code.google.com/p/django-cube/ ; however you 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  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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> "Django users" group.
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> django-users+unsubscr...@googlegroups.com.
> For more options, visit this group at 
> http://groups.google.com/group/django-users?hl=en.
>
>

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Re: Staticstic app, ask for idea.

[sebastien piquemal]

I created an app to easily generate the stats part :
http://code.google.com/p/django-cube/ ; however you 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  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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Re: Staticstic app, ask for idea.

[bruno desthuilliers]

On 30 août, 20:24, hollando  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.

Nope, but reposting the same question two times in two minutes under
two different names won't help.

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Staticstic app, ask for idea.

[hollando]

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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