lib/sparklines.rb in sparklines-0.4.7 vs lib/sparklines.rb in sparklines-0.4.8

@@ -72,11 +72,11 @@
 Licensed under the MIT license.
 
 =end
 class Sparklines
 
-  VERSION = '0.4.7'
+  VERSION = '0.4.8'
 
   @@label_margin = 5.0
   @@pointsize = 10.0
 
   class << self
@@ -119,11 +119,11 @@
 
       options_sym  = defaults.merge(options_sym)
 
       # Call the appropriate method for actual plotting.
       sparkline = self.new(data, options_sym)
-      if %w(area bar pie smooth discrete whisker).include? options_sym[:type]
+      if %w(area bar bullet pie smooth discrete whisker).include? options_sym[:type]
         sparkline.send options_sym[:type]
       else
         sparkline.plot_error options_sym
       end
     end
@@ -496,10 +496,47 @@
 
     @draw.draw(@canvas)
     @canvas.to_blob
   end
 
+  def bullet
+    height = @options[:height].to_f
+    @graph_width  = @options.has_key?(:width) ? @options[:width].to_f : 100.0
+    background_color = '#eeeeee' # @options[:background_color]
+    @thickness = height/3.0
+
+    create_canvas(@graph_width, height, background_color)
+
+    @value = @norm_data
+    @good_value = @options[:good].to_f
+    
+    @graph_height = @options[:height]
+
+    qualitative_range_colors = ['#bbbbbb', '#999999']
+    [:satisfactory, :bad].each_with_index do |indicator, index|
+      next unless @options.has_key?(indicator)
+      @draw = @draw.fill(qualitative_range_colors[index])
+      indicator_width_x  = @graph_width * (@options[indicator].to_f / @good_value)
+      @draw = @draw.rectangle(0, 0, indicator_width_x.to_i, @graph_height)
+    end
+
+    if @options.has_key?(:target)
+      @draw = @draw.fill 'black'
+      target_x = @graph_width * (@options[:target].to_f / @good_value)
+      half_thickness = (@thickness / 2.0).to_i
+      bar_width = 1.0
+      @draw = @draw.rectangle(target_x.to_i, half_thickness, (target_x + bar_width).to_i, @thickness * 2 + half_thickness)
+    end
+
+    # Value
+    @draw = @draw.fill 'black'
+    @draw = @draw.rectangle(0, @thickness.to_i, @graph_width * (@data.first.to_f / @good_value), (@thickness * 2.0).to_i)
+
+    @draw.draw(@canvas)
+    @canvas.to_blob
+  end
+
   ##
   # Draw the error Sparkline.
 
   def plot_error(options={})
     create_canvas(40, 15, 'white')
@@ -515,12 +552,15 @@
   private
 
   def normalize_data
     @minimum_value = @data.min
     @maximum_value = @data.max
-    if @options[:type].to_s == 'pie'
+    case @options[:type].to_s
+    when 'pie'
       @norm_data = @data
+    when 'bullet'
+      @norm_data = @data
     else
       @norm_data = @data.map do |value|
         value = ((value.to_f - @minimum_value)/(@maximum_value - @minimum_value)) * 100.0
       end
     end
@@ -658,8 +698,7 @@
   #   accepts: an array, the population
   #   returns: the standard deviation
   def standard_deviation(population)
     Math.sqrt(variance(population))
   end
-
 
 end