Merge branch 'release/0.6.3'

README.rst

@@ -31,11 +31,11 @@ Usage
     
 Populate fresh data files: ::
     
-    headers = ('first_name', 'last_name', 'gpa')
+    headers = ('first_name', 'last_name')
 
     data = [
-        ('John', 'Adams', 90),
-        ('George', 'Washington', 67)
+        ('John', 'Adams'),
+        ('George', 'Washington')
     ]
     
     data = tablib.Dataset(*data, headers=headers)
@@ -43,7 +43,11 @@ 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:  ::
 
@@ -122,7 +126,7 @@ 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
@@ -133,6 +137,7 @@ Roadmap
 - 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

setup.py

@@ -18,7 +18,7 @@ if sys.argv[-1] == "publish":
 
 setup(
 	name='tablib',
-	version='0.6.2',
+	version='0.6.3',
 	description='Format agnostic tabular data library (XLS, JSON, YAML, CSV)',
 	long_description=open('README.rst').read() + '\n\n' +
 	                 open('HISTORY.rst').read(),

tablib/core.py

@@ -21,8 +21,8 @@ from helpers import *
 # __all__ = ['Dataset', 'DataBook']
 
 __name__ = 'tablib'
-__version__ = '0.6.1'
-__build__ = 0x000601
+__version__ = '0.6.3'
+__build__ = 0x000603
 __author__ = 'Kenneth Reitz'
 __license__ = 'MIT'
 __copyright__ = 'Copyright 2010 Kenneth Reitz'
@@ -80,10 +80,15 @@ class Dataset(object):
 			return '<dataset object>'
 
 
-	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))
 
@@ -130,17 +135,27 @@ class Dataset(object):
 		"""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, why:
+				raise TypeError
+		else:
+			self.__headers = None
+
+
+
 	@property
 	def dict(self):
 		"""Returns python dict of Dataset."""
 		return self._package()
 
+
 	@property
 	def json(self):
 		"""Returns JSON representation of Dataset."""
@@ -180,16 +195,36 @@ class Dataset(object):
 		return stream.getvalue()
 
 
-	def append(self, row):
+	def append(self, row=None, col=None):
 		"""Adds a row to the end of Dataset"""
-		self._validate(row)
-		self._data.append(tuple(row))
+		if 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)
-		self._data.insert(i, tuple(row))
+		if row:
+			self._validate(row)
+			self._data.insert(i, tuple(row))
+		elif col:
+			pass
 
 
 class DataBook(object):
@@ -200,12 +235,14 @@ class DataBook(object):
 	def __init__(self, sets=[]):
 		self._datasets = sets
 
+
 	def __repr__(self):
 		try:
 			return '<%s databook>' % (self.title.lower())
 		except AttributeError:
 			return '<databook object>'
 
+
 	def add_sheet(self, dataset):
 		"""Add given dataset ."""
 		if type(dataset) is Dataset:
@@ -213,6 +250,7 @@ class DataBook(object):
 		else:
 			raise InvalidDatasetType
 
+
 	def _package(self):
 		collector = []
 		for dset in self._datasets:
@@ -222,6 +260,7 @@ class DataBook(object):
 			))
 		return collector
 
+
 	@property
 	def size(self):
 		"""The number of the Datasets within DataBook."""
@@ -235,8 +274,8 @@ class DataBook(object):
 		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 i, dset in enumerate(self._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)):
@@ -246,24 +285,29 @@ class DataBook(object):
 		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/helpers.py

@@ -10,7 +10,7 @@ class Struct(object):
 		self.__dict__.update(entries)
 		
 	def __getitem__(self, key):
-		return getattr(self, key)
+		return getattr(self, key, None)
 
 
 def piped():

test_tablib.py

@@ -7,15 +7,14 @@ import tablib
 
 class TablibTestCase(unittest.TestCase):
 	def setUp(self):
-		pass
+		global data
+		data = tablib.Dataset()
 
 	def tearDown(self):
 		pass
 
+	
 	def test_empty_append(self):
-
-		data = tablib.Dataset()
-
 		new_row = (1,2,3)
 		data.append(new_row)
 
@@ -24,17 +23,65 @@ class TablibTestCase(unittest.TestCase):
 
 	def test_empty_append_with_headers(self):
 
-		data = tablib.Dataset()
-
 		data.headers = ['first', 'second']
 		new_row = (1,2,3,4)
 		
 		self.assertRaises(tablib.InvalidDimensions, data.append, new_row)
+
+
+	def test_add_column(self):
+		# No 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_adding_header with (self):
-				
+
+		
+	def test_add_column_no_data_no_headers(self):
+
+		# 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):
 
+		# no 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 tuple_check(self):
+		data.append(col=(1,2,3))
+		
 if __name__ == '__main__':
 	unittest.main()