very nice, just what i need, does it import xls too? xlsx even?
On May 13, 9:24 am, Bruno Rocha <rochacbr...@gmail.com> wrote: > docshttp://docs.tablib.org/en/latest/index.html > -- > Bruno Rocha > [ About me:http://zerp.ly/rochacbruno] > > > > On Fri, May 13, 2011 at 4:13 AM, Bruno Rocha <rochacbr...@gmail.com> wrote: > >https://github.com/kennethreitz/tablib > > > Tablib: format-agnostic tabular dataset library > > > headers = ('first_name', 'last_name') > > > data = [ > > ('John', 'Adams'), > > ('George', 'Washington') > > ] > > > data = tablib.Dataset(*data, headers=headers) > > > Exports > > > Drumroll please........... > > JSON! > > > >>> print data.json > > [ > > { > > "last_name": "Adams", > > "age": 90, > > "first_name": "John" > > }, > > { > > "last_name": "Ford", > > "age": 83, > > "first_name": "Henry" > > } > > ] > > > YAML! > > > >>> print data.yaml > > - {age: 90, first_name: John, last_name: Adams} > > - {age: 83, first_name: Henry, last_name: Ford} > > > CSV... > > > >>> print data.csv > > first_name,last_name,age > > John,Adams,90 > > Henry,Ford,83 > > > EXCEL! > > > >>> open('people.xls', 'wb').write(data.xls) > > > It's that easy. > > > *I am wondering something like* > > > data = tablib.Dataset(db(db.table.select().as_dict(), headers=headers) > > > Then we can have DAL Rows written in to Excel, YAML and JSON. > > > -- > > Bruno Rocha > > [ About me:http://zerp.ly/rochacbruno]
