typo fix.

Version bump.

.gitignore

@@ -4,8 +4,8 @@ dist/*
 MANIFEST
 
 # python skin
-.pyc
+*.pyc
-.pyo
+*.pyo
 
 # osx noise
 .DS_Store
@@ -15,3 +15,5 @@ profile
 .idea
 .idea/*
 
+# vi noise
+*.swp

AUTHORS

@@ -10,4 +10,4 @@ Development Lead
 Patches and Suggestions
 ```````````````````````
 
-- A Lucky Someone
+- Luke Lee

HISTORY.rst

@@ -1,6 +1,46 @@
 History
 =======
 
+0.8.1 (2010-09-28)
+------------------
+* Packaging Fix
+
+
+0.8.0 (2010-09-25)
+------------------
+* New format plugin system!
+* Imports! ELEGANT Imports!
+* Tests. Lots of tests.
+
+
+0.7.1 (2010-09-20)
+------------------
+
+* Reverting methods back to properties. 
+* Windows bug compenated in documentation.
+
+
+0.7.0 (2010-09-20)
+------------------
+
+* Renamed DataBook Databook for consistiency.
+* Export properties changed to methods (XLS filename / StringIO bug).
+* Optional Dataset.xls(path='filename') support (for writing on windows).
+* Added utf-8 on the worksheet level.
+
+
+0.6.4 (2010-09-19)
+------------------
+
+* Updated unicode export for XLS.
+* More exhaustive unit tests.
+
+
+0.6.3 (2010-09-14)
+------------------
+* Added Dataset.append() support for columns.
+
+
 0.6.2 (2010-09-13)
 ------------------
 * Fixed Dataset.append() error on empty dataset.

README.rst

@@ -15,15 +15,27 @@ Tablib is a format-agnostic tabular dataset library, written in Python.
 
 Output formats supported:
 
-- Excel
+- Excel (Sets + Books)
-- JSON
+- JSON (Sets + Books)
-- YAML
+- YAML (Sets + Books)
-- CSV
+- CSV (Sets)
 
-At this time, Tablib supports the **export** of it's powerful Dataset object instances into any of the above formats. Import is underway.
+Import formats supported:
+
+- JSON (Sets + Books)
+- YAML (Sets + Books)
+- CSV (Sets)
 
 Note that tablib *purposefully* excludes XML support. It always will.
 
+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 maniuplated as raw Python datatypes (Lists of tuples|dictonaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
+	
+`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 Excel (XLS), JSON, and YAML.
 
 Usage
 -----
@@ -31,11 +43,11 @@ Usage
     
 Populate fresh data files: ::
     
-    headers = ('first_name', 'last_name', 'gpa')
+    headers = ('first_name', 'last_name')
 
     data = [
-        ('John', 'Adams', 90),
+        ('John', 'Adams'),
-        ('George', 'Washington', 67)
+        ('George', 'Washington')
     ]
     
     data = tablib.Dataset(*data, headers=headers)
@@ -43,7 +55,11 @@ Populate fresh data files: ::
 
 Intelligently add new rows: ::
 
-    >>> data.append(('Henry', 'Ford', 83))
+    >>> data.append(('Henry', 'Ford'))
+
+Intelligently add new columns: ::
+
+    >>> data.append(col=('age', 90, 67, 83))
     
 Slice rows:  ::
 
@@ -60,6 +76,9 @@ Easily delete rows: ::
 
     >>> del data[1]
 
+Exports
+-------
+
 Drumroll please...........
 
 JSON! 
@@ -102,11 +121,44 @@ EXCEL!
 ++++++
 ::
 
-	>>> open('people.xls').write(data.xls)
+	>>> open('people.xls', 'wb').write(data.xls)
-		
+
 It's that easy.
+
+Imports!
+--------
+
+JSON
+++++
+
+::
+
+	>>> data.json = '[{"last_name": "Adams","age": 90,"first_name": "John"}]'
+	>>> print data[0]
+	('John', 'Adams', 90)
+
+
+YAML
+++++
+::
+
+	>>> data.yaml = '- {age: 90, first_name: John, last_name: Adams}'
+	>>> print data[0]
+	('John', 'Adams', 90)
+
+CSV
++++
+::
+
+	>>> data.yaml = 'age, first_name, last_name\n90, John, Adams'
+	>>> print data[0]
+	('John', 'Adams', 90)
 	
-    
+	>>> print data.yaml
+	- {age: 90, first_name: John, last_name: Adams}
+	
+
+
 Installation
 ------------
 
@@ -122,18 +174,15 @@ Or, if you absolutely must: ::
 Contribute
 ----------
 
-If you'd like to contribute, simply fork `the repository`_, commit your changes, and send a pull request. Make sure you add yourself to AUTHORS_.
+If you'd like to contribute, simply fork `the repository`_, commit your changes to the **develop** branch (or branch off of it), and send a pull request. Make sure you add yourself to AUTHORS_.
 
 
 Roadmap
 -------
-- Add ability to add/remove full columns
-- Import datasets from CSV, JSON, YAML
 - Release CLI Interface
 - Auto-detect import format
 - Add possible other exports (SQL?)
-- Possibly plugin-ify format architecture
+- Ability to assign types to rows (set, regex=, &c.)
-- Plugin support
 
 .. _`the repository`: http://github.com/kennethreitz/tablib
-.. _AUTHORS: http://github.com/kennethreitz/tablib/blob/master/AUTHORS
+.. _AUTHORS: http://github.com/kennethreitz/tablib/blob/master/AUTHORS

setup.py

@@ -11,21 +11,20 @@ def publish():
 	"""Publish to PyPi"""
 	os.system("python setup.py sdist upload")
 
-
 if sys.argv[-1] == "publish":
 	publish()
 	sys.exit()
 
 setup(
 	name='tablib',
-	version='0.6.2',
+	version='0.8.1',
 	description='Format agnostic tabular data library (XLS, JSON, YAML, CSV)',
 	long_description=open('README.rst').read() + '\n\n' +
 	                 open('HISTORY.rst').read(),
 	author='Kenneth Reitz',
 	author_email='me@kennethreitz.com',
 	url='http://github.com/kennethreitz/tablib',
-	packages=['tablib'],
+	packages=['tablib', 'tablib.formats'],
 	install_requires=['xlwt', 'simplejson', 'PyYAML'],
 	license='MIT',
 	classifiers=(

tablib/__init__.py

@@ -1 +1,8 @@
-from core import *
+""" Tablib.
+"""
+
+from tablib.core import (
+	Databook, Dataset, InvalidDatasetType,
+	InvalidDimensions, UnsupportedFormat
+)
+

tablib/core.py

@@ -1,28 +1,14 @@
 # -*- coding: utf-8 -*-
 
-# _____         ______  ______        _________
+""" Tablib - Core Library.
-# __  /_______ ____  /_ ___  /_ _____ ______  /
+"""
-# _  __/_  __ `/__  __ \__  __ \_  _ \_  __  / 
+
-# / /_  / /_/ / _  /_/ /_  /_/ //  __// /_/ /  
+from tablib.formats import FORMATS as formats
-# \__/  \__,_/  /_.___/ /_.___/ \___/ \__,_/   
 
 
-import csv
+__title__ = 'tablib'
-import cStringIO
+__version__ = '0.8.1'
-import random
+__build__ = 0x000801
-
-import simplejson as json
-import xlwt
-import yaml
-
-from helpers import *
-
-
-# __all__ = ['Dataset', 'DataBook']
-
-__name__ = 'tablib'
-__version__ = '0.6.1'
-__build__ = 0x000601
 __author__ = 'Kenneth Reitz'
 __license__ = 'MIT'
 __copyright__ = 'Copyright 2010 Kenneth Reitz'
@@ -32,29 +18,27 @@ class Dataset(object):
 	"""Epic Tabular-Dataset object. """
 
 	def __init__(self, *args, **kwargs):
-		self._data = None
-		self._saved_file = None
-		self._saved_format = None
 		self._data = list(args)
 		self.__headers = None
 
 		try:
 			self.headers = kwargs['headers']
-		except KeyError, why:
+		except KeyError:
 			self.headers = None
 
 		try:
 			self.title = kwargs['title']
-		except KeyError, why:
+		except KeyError:
 			self.title = None
 
+		self._register_formats()
 
 	def __len__(self):
 		return self.height
 
 
 	def __getitem__(self, key):
-		if is_string(key):
+		if isinstance(key, basestring):
 			if key in self.headers:
 				pos = self.headers.index(key) # get 'key' index from each data
 				return [row[pos] for row in self._data]
@@ -79,11 +63,30 @@ class Dataset(object):
 		except AttributeError:
 			return '<dataset object>'
 
+	
+	@classmethod
+	def _register_formats(cls):
+		"""Adds format properties."""
+		for fmt in formats:
+			try:
+				try:
+					setattr(cls, fmt.title, property(fmt.export_set, fmt.import_set))
+				except AttributeError:
+					setattr(cls, fmt.title, property(fmt.export_set))
+					
+			except AttributeError:
+				pass
 
-	def _validate(self, row=None, safety=False):
+
+	def _validate(self, row=None, col=None, safety=False):
 		"""Assures size of every row in dataset is of proper proportions."""
 		if row:
 			is_valid = (len(row) == self.width) if self.width else True
+		elif col:
+			if self.headers:
+				is_valid = (len(col) - 1) == self.height
+			else:
+				is_valid = (len(col) == self.height) if self.height else True
 		else:
 			is_valid = all((len(x)== self.width for x in self._data))
 
@@ -108,6 +111,7 @@ class Dataset(object):
 
 		return data
 
+	
 	@property
 	def height(self):
 		"""Returns the height of the Dataset."""
@@ -119,86 +123,101 @@ class Dataset(object):
 		"""Returns the width of the Dataset."""
 		try:
 			return len(self._data[0])
-		except IndexError, why:
+		except IndexError:
 			try:
 				return len(self.headers)
-			except TypeError, e:
+			except TypeError:
 				return 0
-	
+
+
 	@property
 	def headers(self):
 		"""Headers property."""
 		return self.__headers
 
+
 	@headers.setter
 	def headers(self, collection):
 		"""Validating headers setter."""
 		self._validate(collection)
-		self.__headers = collection
+		if collection:
-		
+			try:
+				self.__headers = list(collection)
+			except TypeError:
+				raise TypeError
+		else:
+			self.__headers = None
+
+
 	@property
 	def dict(self):
 		"""Returns python dict of Dataset."""
 		return self._package()
 
-	@property
+	
-	def json(self):
+	@dict.setter
-		"""Returns JSON representation of Dataset."""
+	def dict(self, pickle):
-		return json.dumps(self.dict)
+		"""Returns python dict of Dataset."""
+		if not len(pickle):
+			return
+		if isinstance(pickle[0], list):
+			for row in pickle:
+				self.append(row)
+		elif isinstance(pickle[0], dict):
+			self.headers = pickle[0].keys()
+			for row in pickle:
+				self.append(row.values())
+		else:
+			raise UnsupportedFormat
 
 
-	@property
+	def append(self, row=None, col=None):
-	def yaml(self):
-		"""Returns YAML representation of Dataset."""
-		return yaml.dump(self.dict)
-
-
-	@property
-	def csv(self):
-		"""Returns CSV representation of Dataset."""
-		stream = cStringIO.StringIO()
-		_csv = csv.writer(stream)
-
-		for row in self._package(dicts=False):
-			_csv.writerow(row)
-
-		return stream.getvalue()
-
-
-	@property
-	def xls(self):
-		"""Returns XLS representation of Dataset."""
-		stream = cStringIO.StringIO()
-
-		wb = xlwt.Workbook()
-		ws = wb.add_sheet(self.title if self.title else 'Tabbed Dataset')
-		for i, row in enumerate(self._package(dicts=False)):
-			for j, col in enumerate(row):
-				ws.write(i, j, str(col))
-
-		wb.save(stream)
-		return stream.getvalue()
-
-
-	def append(self, row):
 		"""Adds a row to the end of Dataset"""
-		self._validate(row)
+		if row:
-		self._data.append(tuple(row))
+			self._validate(row)
+			self._data.append(tuple(row))
+		elif col:
+			self._validate(col=col)
+
+			if self.headers:
+				# pop the first item off, add to headers
+				self.headers.append(col[0])
+				col = col[1:]
+		
+			if self.height and self.width:
+
+				for i, row in enumerate(self._data):
+					_row = list(row)
+					_row.append(col[i])
+					self._data[i] = tuple(_row)
+			else:
+				self._data = [tuple([row]) for row in col]
 
 
-	def index(self, i, row):
+	def insert(self, i, row=None, col=None):
 		"""Inserts a row at given position in Dataset"""
-		self._validate(row)
+		if row:
-		self._data.insert(i, tuple(row))
+			self._validate(row)
+			self._data.insert(i, tuple(row))
+		elif col:
+			pass
+			
+	
+	def wipe(self):
+		"""Erases all data from Dataset."""
+		self._data = list()
+		self.__headers = None
 
 
-class DataBook(object):
+class Databook(object):
 	"""A book of Dataset objects.
 	   Currently, this exists only for XLS workbook support.
 	"""
 
 	def __init__(self, sets=[]):
 		self._datasets = sets
+		self._register_formats()
+
 
 	def __repr__(self):
 		try:
@@ -206,14 +225,34 @@ class DataBook(object):
 		except AttributeError:
 			return '<databook object>'
 
+	def wipe(self):
+		"""Wipe book clean."""
+		self._datasets = []
+		
+	@classmethod
+	def _register_formats(cls):
+		"""Adds format properties."""
+		for fmt in formats:
+			try:
+				try:
+					setattr(cls, fmt.title, property(fmt.export_book, fmt.import_book))
+				except AttributeError:
+					setattr(cls, fmt.title, property(fmt.export_book))
+					
+			except AttributeError:
+				pass
+
+
 	def add_sheet(self, dataset):
-		"""Add given dataset ."""
+		"""Adds given dataset."""
 		if type(dataset) is Dataset:
 			self._datasets.append(dataset)
 		else:
 			raise InvalidDatasetType
 
+
 	def _package(self):
+		"""Packages Databook for delivery."""
 		collector = []
 		for dset in self._datasets:
 			collector.append(dict(
@@ -222,48 +261,21 @@ class DataBook(object):
 			))
 		return collector
 
+
 	@property
 	def size(self):
 		"""The number of the Datasets within DataBook."""
 		return len(self._datasets)
 
 
-	@property
-	def xls(self):
-		"""Returns XLS representation of DataBook."""
 
-		stream = cStringIO.StringIO()
-		wb = xlwt.Workbook()
-
-		for dset in self._datasets:
-			ws = wb.add_sheet(dset.title if dset.title else 'Tabbed Dataset %s' % (int(random.random() * 100000000)))
-
-			#for row in self._package(dicts=False):
-			for i, row in enumerate(dset._package(dicts=False)):
-				for j, col in enumerate(row):
-					ws.write(i, j, str(col))
-
-		wb.save(stream)
-		return stream.getvalue()
-
-	@property
-	def json(self):
-		"""Returns JSON representation of Databook."""
-
-		return json.dumps(self._package())
-
-	@property
-	def yaml(self):
-		"""Returns YAML representation of Databook."""
-
-		return yaml.dump(self._package())
-
-		
 class InvalidDatasetType(Exception):
 	"Only Datasets can be added to a DataBook"
 
+
 class InvalidDimensions(Exception):
 	"Invalid size"
 
+	
 class UnsupportedFormat(NotImplementedError):
 	"Format is not supported"

tablib/formats/__init__.py

@@ -0,0 +1,11 @@
+# -*- coding: utf-8 -*-
+
+""" Tablib - formats
+"""
+
+import _csv as csv
+import _json as json
+import _xls as xls
+import _yaml as yaml
+
+FORMATS = (csv, json, xls, yaml)

tablib/formats/_csv.py

@@ -0,0 +1,42 @@
+# -*- coding: utf-8 -*-
+
+""" Tablib - CSV Support.
+"""
+
+import cStringIO
+import csv
+import os
+
+import simplejson as json
+
+import tablib
+
+
+title = 'csv'
+extentions = ('csv',)
+
+
+
+def export_set(dataset):
+	"""Returns CSV representation of Dataset."""
+	stream = cStringIO.StringIO()
+	_csv = csv.writer(stream)
+
+	for row in dataset._package(dicts=False):
+		_csv.writerow(row)
+
+	return stream.getvalue()
+
+
+def import_set(dset, in_stream, headers=True):
+	"""Returns dataset from CSV stream."""
+
+	dset.wipe()
+
+	rows = csv.reader(in_stream.split())
+	for i, row in enumerate(rows):
+
+		if (i == 0) and (headers):
+			dset.headers = row
+		else:
+			dset.append(row)

tablib/formats/_json.py

@@ -0,0 +1,38 @@
+# -*- coding: utf-8 -*-
+
+""" Tablib - JSON Support
+"""
+
+import simplejson as json
+import tablib.core
+
+title = 'json'
+extentions = ('json', 'jsn')
+
+
+def export_set(dataset):
+	"""Returns JSON representation of Dataset."""
+	return json.dumps(dataset.dict)
+
+
+def export_book(databook):
+	"""Returns JSON representation of Databook."""
+	return json.dumps(databook._package())
+	
+
+def import_set(dset, in_stream):
+	"""Returns dataset from JSON stream."""
+	
+	dset.wipe()
+	dset.dict = json.loads(in_stream)
+
+
+def import_book(dbook, in_stream):
+	"""Returns databook from JSON stream."""
+
+	dbook.wipe()
+	for sheet in json.loads(in_stream):
+		data = tablib.core.Dataset()
+		data.title = sheet['title']
+		data.dict = sheet['data']
+		dbook.add_sheet(data)

tablib/formats/_xls.py

@@ -0,0 +1,45 @@
+# -*- coding: utf-8 -*-
+
+""" Tablib - XLS Support.
+"""
+
+import xlwt
+import cStringIO
+
+
+title = 'xls'
+extentions = ('xls',)
+
+
+def export_set(dataset):
+	"""Returns XLS representation of Dataset."""
+
+	wb = xlwt.Workbook(encoding='utf8')
+	ws = wb.add_sheet(dataset.title if dataset.title else 'Tabbed Dataset')
+
+	for i, row in enumerate(dataset._package(dicts=False)):
+		for j, col in enumerate(row):
+			ws.write(i, j, col)
+
+	stream = cStringIO.StringIO()
+	wb.save(stream)
+	return stream.getvalue()
+
+
+def export_book(databook):
+	"""Returns XLS representation of DataBook."""
+
+	wb = xlwt.Workbook(encoding='utf8')
+
+	for i, dset in enumerate(databook._datasets):
+		ws = wb.add_sheet(dset.title if dset.title else 'Sheet%s' % (i))
+
+		#for row in self._package(dicts=False):
+		for i, row in enumerate(dset._package(dicts=False)):
+			for j, col in enumerate(row):
+				ws.write(i, j, col)
+
+
+	stream = cStringIO.StringIO()
+	wb.save(stream)
+	return stream.getvalue()

tablib/formats/_yaml.py

@@ -0,0 +1,42 @@
+# -*- coding: utf-8 -*-
+
+""" Tablib - YAML Support.
+"""
+
+import yaml
+import tablib
+
+
+
+title = 'yaml'
+extentions = ('yaml', 'yml')
+
+
+
+def export_set(dataset):
+	"""Returns YAML representation of Dataset."""
+	return yaml.dump(dataset.dict)
+
+
+def export_book(databook):
+	"""Returns YAML representation of Databook."""
+	return yaml.dump(databook._package())
+
+
+def import_set(dset, in_stream):
+	"""Returns dataset from YAML stream."""
+
+	dset.wipe()
+	dset.dict = yaml.load(in_stream)
+
+
+def import_book(dbook, in_stream):
+	"""Returns databook from YAML stream."""
+
+	dbook.wipe()
+
+	for sheet in yaml.load(in_stream):
+		data = tablib.core.Dataset()
+		data.title = sheet['title']
+		data.dict = sheet['data']
+		dbook.add_sheet(data)

tablib/helpers.py

@@ -1,5 +1,8 @@
 # -*- coding: utf-8 -*-
 
+""" Tablib - General Helpers.
+"""
+
 import sys
 
 
@@ -10,16 +13,25 @@ class Struct(object):
 		self.__dict__.update(entries)
 		
 	def __getitem__(self, key):
-		return getattr(self, key)
+		return getattr(self, key, None)
+
+	def dictionary(self):
+		"""Returns dictionary representation of object."""
+		return self.__dict__
+
+	def items(self):
+		"""Returns items within object."""
+		return self.__dict__.items()
+
+	def keys(self):
+		"""Returns keys within object."""
+		return self.__dict__.keys()
+
 
 
 def piped():
-	"""Returns piped input via stdin, else False"""
+	"""Returns piped input via stdin, else False."""
 	with sys.stdin as stdin:
+		# TTY is only way to detect if stdin contains data
 		return stdin.read() if not stdin.isatty() else None
 
-		
-def is_string(obj):
-	"""Tests if an object is a string"""
-
-	return True if type(obj).__name__ == 'str' else False

test_tablib.py

@@ -1,40 +1,283 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
+"""Tests for tablib."""
+
 import unittest
 
 import tablib
 
+
 class TablibTestCase(unittest.TestCase):
+	"""Tablib test cases."""
+
 	def setUp(self):
-		pass
+		"""Create simple data set with headers."""
+
+		global data, book
+		data = tablib.Dataset()
+		book = tablib.Databook()
+
+		self.headers = ('first_name', 'last_name', 'gpa')
+		self.john = ('John', 'Adams', 90)
+		self.george = ('George', 'Washington', 67)
+		self.tom = ('Thomas', 'Jefferson', 50)
+
+		self.founders = tablib.Dataset(headers=self.headers)
+		self.founders.append(self.john)
+		self.founders.append(self.george)
+		self.founders.append(self.tom)
+
 
 	def tearDown(self):
+		"""Teardown."""
 		pass
 
+
 	def test_empty_append(self):
-
+		"""Verify append() correctly adds tuple with no headers."""
-		data = tablib.Dataset()
+		new_row = (1, 2, 3)
-
-		new_row = (1,2,3)
 		data.append(new_row)
 
+		# Verify width/data
 		self.assertTrue(data.width == len(new_row))
+		self.assertTrue(data[0] == new_row)
 
 
 	def test_empty_append_with_headers(self):
-
+		"""Verify append() correctly detects mismatch of number of
-		data = tablib.Dataset()
+		headers and data.
-
+		"""
 		data.headers = ['first', 'second']
-		new_row = (1,2,3,4)
+		new_row = (1, 2, 3, 4)
-		
+
 		self.assertRaises(tablib.InvalidDimensions, data.append, new_row)
+
+
+	def test_add_column(self):
+		"""Verify adding column works with/without headers."""
+
+		data.append(['kenneth'])
+		data.append(['bessie'])
+
+		new_col = ['reitz', 'monke']
+
+		data.append(col=new_col)
+
+		self.assertEquals(data[0], ('kenneth', 'reitz'))
+		self.assertEquals(data.width, 2)
+
+		# With Headers
+		data.headers = ('fname', 'lname')
+		new_col = ['age', 21, 22]
+		data.append(col=new_col)
+
+		self.assertEquals(data[new_col[0]], new_col[1:])
+
+
+	def test_add_column_no_data_no_headers(self):
+		"""Verify adding new column with no headers."""
+
+		new_col = ('reitz', 'monke')
+
+		data.append(col=new_col)
+
+		self.assertEquals(data[0], tuple([new_col[0]]))
+		self.assertEquals(data.width, 1)
+		self.assertEquals(data.height, len(new_col))
+
+
+	def test_add_column_no_data_with_headers(self):
+		"""Verify adding new column with headers."""
+
+		data.headers = ('first', 'last')
+
+		new_col = ('age',)
+		data.append(col=new_col)
+
+		self.assertEquals(len(data.headers), 3)
+		self.assertEquals(data.width, 3)
+
+		new_col = ('foo', 'bar')
+
+		self.assertRaises(tablib.InvalidDimensions, data.append, col=new_col)
+
+
+	def test_header_slicing(self):
+		"""Verify slicing by headers."""
+
+		self.assertEqual(self.founders['first_name'],
+						[self.john[0], self.george[0], self.tom[0]])
+		self.assertEqual(self.founders['last_name'],
+						[self.john[1], self.george[1], self.tom[1]])
+		self.assertEqual(self.founders['gpa'],
+						[self.john[2], self.george[2], self.tom[2]])
+
+
+	def test_data_slicing(self):
+		"""Verify slicing by data."""
+
+		# Slice individual rows
+		self.assertEqual(self.founders[0], self.john)
+		self.assertEqual(self.founders[:1], [self.john])
+		self.assertEqual(self.founders[1:2], [self.george])
+		self.assertEqual(self.founders[-1], self.tom)
+		self.assertEqual(self.founders[3:], [])
+
+		# Slice multiple rows
+		self.assertEqual(self.founders[:], [self.john, self.george, self.tom])
+		self.assertEqual(self.founders[0:2], [self.john, self.george])
+		self.assertEqual(self.founders[1:3], [self.george, self.tom])
+		self.assertEqual(self.founders[2:], [self.tom])
+
+
+	def test_delete(self):
+		"""Verify deleting from dataset works."""
+
+		# Delete from front of object
+		del self.founders[0]
+		self.assertEqual(self.founders[:], [self.george, self.tom])
+
+		# Verify dimensions, width should NOT change
+		self.assertEqual(self.founders.height, 2)
+		self.assertEqual(self.founders.width, 3)
+
+		# Delete from back of object
+		del self.founders[1]
+		self.assertEqual(self.founders[:], [self.george])
+
+		# Verify dimensions, width should NOT change
+		self.assertEqual(self.founders.height, 1)
+		self.assertEqual(self.founders.width, 3)
+
+		# Delete from invalid index
+		self.assertRaises(IndexError, self.founders.__delitem__, 3)
+
+
+	def test_csv_export(self):
+		"""Verify exporting dataset object as CSV."""
+
+		# Build up the csv string with headers first, followed by each row
+		csv = ''
+		for col in self.headers:
+			csv += col + ','
+
+		csv = csv.strip(',') + '\r\n'
+
+		for founder in self.founders:
+			for col in founder:
+				csv += str(col) + ','
+			csv = csv.strip(',') + '\r\n'
+
+		self.assertEqual(csv, self.founders.csv)
+
+
+	def test_unicode_append(self):
+		"""Passes in a single unicode charecter and exports."""
+
+		new_row = ('å', 'é')
+		data.append(new_row)
+
+		data.json
+		data.yaml
+		data.csv
+		data.xls
+
+ 
+	def test_book_export_no_exceptions(self):
+		"""Test that varoius exports don't error out."""
+
+		book = tablib.Databook()
+		book.add_sheet(data)
+
+		book.json
+		book.yaml
+		book.xls
+
+
+	def test_json_import_set(self):
+		"""Generate and import JSON set serialization."""
+		data.append(self.john)
+		data.append(self.george)
+		data.headers = self.headers
+
+		_json = data.json
+
+		data.json = _json
+
+		self.assertEqual(_json, data.json)
+
+
+	def test_json_import_book(self):
+		"""Generate and import JSON book serialization."""
+		data.append(self.john)
+		data.append(self.george)
+		data.headers = self.headers
+
+		book.add_sheet(data)
+		_json = book.json
+
+		book.json = _json
+
+		self.assertEqual(_json, book.json)
+
+
+	def test_yaml_import_set(self):
+		"""Generate and import YAML set serialization."""
+		data.append(self.john)
+		data.append(self.george)
+		data.headers = self.headers
+
+		_yaml = data.yaml
+
+		data.yaml = _yaml
+
+		self.assertEqual(_yaml, data.yaml)
+
 		
-	# def test_adding_header with (self):
+	def test_yaml_import_book(self):
-				
+		"""Generate and import YAML book serialization."""
+		data.append(self.john)
+		data.append(self.george)
+		data.headers = self.headers
+
+		book.add_sheet(data)
+		_yaml = book.yaml
+
+		book.yaml = _yaml
+
+		self.assertEqual(_yaml, book.yaml)
+		
+
+	def test_csv_import_set(self):
+		"""Generate and import CSV set serialization."""
+		data.append(self.john)
+		data.append(self.george)
+		data.headers = self.headers
+
+		_csv = data.csv
+
+		data.csv = _csv
+
+		self.assertEqual(_csv, data.csv)
 
 
+	def test_wipe(self):
+		"""Purge a dataset."""
+		
+		new_row = (1, 2, 3)
+		data.append(new_row)
 
+		# Verify width/data
+		self.assertTrue(data.width == len(new_row))
+		self.assertTrue(data[0] == new_row)
+		
+		data.wipe()
+		new_row = (1, 2, 3, 4)
+		data.append(new_row)
+		self.assertTrue(data.width == len(new_row))
+		self.assertTrue(data[0] == new_row)
+	
+		
 if __name__ == '__main__':
-	unittest.main()
+	unittest.main()