kennethreitz/tablib
1
0
Fork 0
mirror of https://github.com/kennethreitz/tablib.git synced 2026-06-05 15:00:19 +00:00
Code Issues Packages Projects Releases Wiki Activity

Doc upgrades.

Browse Source
This commit is contained in:
Kenneth Reitz
2010-10-07 16:01:17 -04:00
parent 9efd982bfa
commit d0b09f0fce
1 changed files with 9 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tablib/core.py
+9 -8
View File
@@ -49,7 +49,7 @@ class Dataset(object):
.. admonition:: About the Format Attributes
If you look at the code, the various output/import formats are not
defined within the itself. To add support for a new format, see
defined within the :class:`Dataset` object. To add support for a new format, see
:ref:`Adding New Formats`.
.. attribute:: csv
@@ -58,7 +58,7 @@ class Dataset(object):
headers, if they have been set. Otherwise, the top row will contain
the first row of the dataset.
A dataset object can also be imported by setting the `Dataset.csv` attribute: ::
A dataset object can also be imported by setting the:class:`Dataset.csv` attribute. ::
data = tablib.Dataset()
data.csv = 'age, first_name, last_name\\n90, John, Adams'
@@ -72,7 +72,7 @@ class Dataset(object):
set, a list of Python dictionaries will be returned. If no headers have been
set, a list of tuples (rows) will be returned instead.
A dataset object can also be imported by setting the `Dataset.dict` attribute: ::
A dataset object can also be imported by setting the :class:`Dataset.dict` attribute. ::
data = tablib.Dataset()
data.dict = [{'age': 90, 'first_name': 'Kenneth', 'last_name': 'Reitz'}]
@@ -83,11 +83,12 @@ class Dataset(object):
An Excel Spreadsheet representation of the Dataset object, including
:ref:`seperators`.
*Note:* `Dataset.xls` contains binary data, so make sure to write in binary
mode::
.. admonition:: Binary Warning
:class:`Dataset.xls` contains binary data, so make sure to write in binary mode::
with open('output.xls', 'wb') as f:
f.write(data.xls)
with open('output.xls', 'wb') as f:
f.write(data.xls)
.. attribute:: yaml
@@ -96,7 +97,7 @@ class Dataset(object):
set, a YAML list of objects will be returned. If no headers have
been set, a YAML list of lists (rows) will be returned instead.
A dataset object can also be imported by setting the `Dataset.json` attribute: ::
A dataset object can also be imported by setting the :class:`Dataset.json` attribute: ::
data = tablib.Dataset()
data.yaml = '- {age: 90, first_name: John, last_name: Adams}'