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Diffstat (limited to 'README.rst')
| -rw-r--r-- | README.rst | 10 |
1 files changed, 9 insertions, 1 deletions
@@ -24,6 +24,7 @@ Output formats supported: - HTML (Sets) - TSV (Sets) - CSV (Sets) +- DBF (Sets) Note that tablib *purposefully* excludes XML support. It always will. (Note: This is a joke. Pull requests are welcome.) @@ -31,7 +32,7 @@ Overview -------- `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. + 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, DBF, and CSV; they can be exported to XLSX, XLS, ODS, JSON, YAML, DBF, 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. @@ -123,6 +124,13 @@ EXCEL! >>> with open('people.xls', 'wb') as f: ... f.write(data.xls) +DBF! +++++ +:: + + >>> with open('people.dbf', 'wb') as f: + ... f.write(data.dbf) + It's that easy. |