Began work on Plot.py.

Plot.py

@@ -0,0 +1,113 @@
+#!/usr/bin/env python
+import SVG
+
+class Plot( SVG.Graph ):
+	"""=== For creating SVG plots of scalar data
+	
+	= Synopsis
+	
+	  require 'SVG/Graph/Plot'
+	
+	  # Data sets are x,y pairs
+	  # Note that multiple data sets can differ in length, and that the
+	  # data in the datasets needn't be in order; they will be ordered
+	  # by the plot along the X-axis.
+	  projection = [
+		6, 11,    0, 5,   18, 7,   1, 11,   13, 9,   1, 2,   19, 0,   3, 13,
+		7, 9 
+	  ]
+	  actual = [
+		0, 18,    8, 15,    9, 4,   18, 14,   10, 2,   11, 6,  14, 12,   
+		15, 6,   4, 17,   2, 12
+	  ]
+	  
+	  graph = SVG::Graph::Plot.new({
+	   :height => 500,
+		   :width => 300,
+		:key => true,
+		:scale_x_integers => true,
+		:scale_y_integerrs => true,
+	  })
+	  
+	  graph.add_data({
+	   :data => projection
+		 :title => 'Projected',
+	  })
+	
+	  graph.add_data({
+	   :data => actual,
+		 :title => 'Actual',
+	  })
+	  
+	  print graph.burn()
+	
+	= Description
+	
+	Produces a graph of scalar data.
+	
+	This object aims to allow you to easily create high quality
+	SVG[http://www.w3c.org/tr/svg] scalar plots. You can either use the
+	default style sheet or supply your own. Either way there are many options
+	which can be configured to give you control over how the graph is
+	generated - with or without a key, data elements at each point, title,
+	subtitle etc.
+	
+	= Examples
+	
+	http://www.germane-software/repositories/public/SVG/test/plot.rb
+	
+	= Notes
+	
+	The default stylesheet handles upto 10 data sets, if you
+	use more you must create your own stylesheet and add the
+	additional settings for the extra data sets. You will know
+	if you go over 10 data sets as they will have no style and
+	be in black.
+	
+	Unlike the other types of charts, data sets must contain x,y pairs:
+	
+	  [ 1, 2 ]    # A data set with 1 point: (1,2)
+	  [ 1,2, 5,6] # A data set with 2 points: (1,2) and (5,6)  
+	
+	= See also
+	
+	* SVG::Graph::Graph
+	* SVG::Graph::BarHorizontal
+	* SVG::Graph::Bar
+	* SVG::Graph::Line
+	* SVG::Graph::Pie
+	* SVG::Graph::TimeSeries
+	
+	== Author
+	
+	Sean E. Russell <serATgermaneHYPHENsoftwareDOTcom>
+	
+	Copyright 2004 Sean E. Russell
+	This software is available under the Ruby license[LICENSE.txt]"""
+
+	show_data_points = True
+	area_fill = True
+	stacked = True
+	
+	top_align = right_align = top_font = right_font = 1
+	
+	@apply
+	def scale_x_divisions( self ):
+		doc = """      # Determines the scaling for the X axis divisions.
+			
+			graph.scale_x_divisions = 2
+			
+			would cause the graph to attempt to generate labels stepped by 2; EG:
+			0,2,4,6,8..."""
+		def fget( self ):
+			return self._scale_x_divisions
+		def fset( self, val ):
+			self._scale_x_divisions = val
+		return property(**locals())
+
+	def validate_data( self, data ):
+		if len( data['data'] ) % 2 != 0:
+			raise "Expecting x,y pairs for data points for %s." % self.__class__.__name__
+		
+		
+	

TimeSeries.py

@@ -120,9 +120,6 @@ class Plot( SVG.Plot ):
 			may be any date that is parseable by ParseDate."""
 		super( self.__class__, self ).add_data( data )
 		
-	def validate_data( self, data ):
-		if len( data['data'] ) % 2 != 0: raise "Expecting an even set of data points for TimeSeries."
-		
 	def process_data( self, data ):
 		pairs = get_pairs( data['data'] )
 		pairs = map( lambda (x,y): (self.parse_date(x),y), pairs )

__init__.py

@@ -151,16 +151,16 @@ instantiate this class directly; see the subclass for options.
 		
 	def add_data( self, conf ):
 		"""This method allows you do add data to the graph object.
-It can be called several times to add more data sets in.
-
->>> data_sales_02 = [12, 45, 21]
->>> graph.add_data({
-...  'data': data_sales_02,
-...  'title': 'Sales 2002'
-... })
+		It can be called several times to add more data sets in.
+		
+		>>> data_sales_02 = [12, 45, 21]
+		>>> graph.add_data({
+		...  'data': data_sales_02,
+		...  'title': 'Sales 2002'
+		... })
 """
-		self.validate_data( data )
-		self.process_data( data )
+		self.validate_data( conf )
+		self.process_data( conf )
 		self.data.append( conf )
 
 	def validate_data( self, data ):