docs http://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 ] > >
