Probably in other case yes, but for Andreas required things better is to
use python built in functionality and escape from external dependencies.
Regards,
On 2012.11.15. 09:34, Noli Sicad wrote:
This might help.
Tablib: Pythonic Tabular Datasets
http://docs.python-tablib.org/en/latest/
tablib.Dataset()
A Dataset is a table of tabular data. It may or may not have a
header row. They can be build and manipulated as raw Python datatypes
(Lists of tuples|dictionaries). Datasets can be imported from JSON,
YAML, and CSV; they can be exported to XLSX, XLS, ODS, JSON, YAML,
CSV, TSV, and HTML.
tablib.Databook()
A Databook is a set of Datasets. The most common form of a
Databook is an Excel file with multiple spreadsheets. Databooks can be
imported from JSON and YAML; they can be exported to XLSX, XLS, ODS,
JSON, and YAML.
https://github.com/kennethreitz/tablib
Noli
On 11/15/12, gene <[email protected]> wrote:
see also json – JavaScript Object Notation Serializer
<http://www.doughellmann.com/PyMOTW/json/> in the series "Python Module of
the Week" of Doug Helmann. Sean Gillies (Shapely) also developed GeoJSON (
http://pypi.python.org/pypi/geojson/1.0.1
<http://pypi.python.org/pypi/geojson/1.0.1> ) for geospatial purposes.
For others implementations see
http://pypi.python.org/pypi?%3Aaction=search&term=json&submit=search
<http://pypi.python.org/pypi?%3Aaction=search&term=json&submit=search>
As already mentioned, json, once loaded into Python is nothing more than a
dictionary.
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