d3js seems a good horse to bet on him in the long run, I mean it is there
to stay and offer a lot of feature...
But I didn't compare neither. But there is not that much plot js in open
source that offer all the goodies of highcharts
Richard
On Tue, Oct 22, 2013 at 10:13 AM, Thomas S wrote:
> T
file_name come from your field :
db.table.field.upload_field
Here my field definition :
Field('picture', 'upload', uploadseparate=True, autodelete=True,
label=T('Profile image'),
represent=lambda value, row: image_chooser(value, row, '360px',
'360px')
),
You can read the fu
There are tons of such JavaScript based applications for plots. I have not
compared them but flot seems to do the job. web2py is using flot for some
graphs.
What I meant with Java tools is that it's quite complex to write and read
hdf files in Java applications. Unfortunately I have to use Java
request.application ??
On Tue, Oct 22, 2013 at 10:01 AM, Thomas S wrote:
> Yes, I use HDF5 for more than a year now.
> It's great. The only drawback is the lack of elegant Java tools.
> I upload those files and store their obfuscated names in a database, but
> the actual file in uploads.
> Havin
You actually store the file name in database?
if file_name != '' and file_name is not None:
image_dir =
db.auth_user[field].retrieve_file_properties(file_name)['path']
img = Image.open(os.path.join(image_dir, file_name))
:)
Richard
On Tue, Oct 22, 2013 at 10:06 AM, Richard Vézi
There is also : http://d3js.org/
:)
Richard
On Tue, Oct 22, 2013 at 10:04 AM, Richard Vézina <
ml.richard.vez...@gmail.com> wrote:
> request.application ??
>
>
> On Tue, Oct 22, 2013 at 10:01 AM, Thomas S wrote:
>
>> Yes, I use HDF5 for more than a year now.
>> It's great. The only drawback is
Yes, I use HDF5 for more than a year now.
It's great. The only drawback is the lack of elegant Java tools.
I upload those files and store their obfuscated names in a database, but
the actual file in uploads.
Having said that it's not very elegant to construct the URL to locate the
file:
def sho
I heard a lot of good about HDF5 file format to hande important volume of
data hierachical (mean you can query what ever data you need without load
the full data set into a json for instance) :
http://en.wikipedia.org/wiki/Hierarchical_Data_Format
It very much faster then postgres (sure postgres i
use the rows field in auth_permission as described here.
http://web2py.com/books/default/chapter/29/09/access-control#Authorization
On Tuesday, October 22, 2013 5:40:49 AM UTC-4, Thomas S wrote:
>
> Ok, I am making progress. I guess all those JavaScript tools are not great
> when it comes to plo
Ok, I am making progress. I guess all those JavaScript tools are not great
when it comes to plotting millions of points but I am happy to downsample
on the server side and send less points
- I am using flot instead of highcharts
- Currently, the user is uploading a csv file. I don't do any par
first things first: are you sure that highcharts can handle 10*100k points
to draw a graph ?
As for the storage, you can do anything you like: if the data doesn't
change that much, storing into the database will be a long process only on
the first time.
On the other end, if you need to fetch 100
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