examples/dataset.rb in statsample-1.5.0 vs examples/dataset.rb in statsample-2.0.0

@@ -1,15 +1,35 @@
 #!/usr/bin/ruby
 $:.unshift(File.dirname(__FILE__)+'/../lib/')
+# == Description
+#
+# This example demonstrates creation of basic Vectors and DataFrames.
 require 'statsample'
 
-Statsample::Analysis.store(Statsample::Dataset) do
-  samples=1000
-  a=Statsample::Vector.new_numeric(samples) {r=rand(5); r==4 ? nil: r}
-  b=Statsample::Vector.new_numeric(samples) {r=rand(5); r==4 ? nil: r}
+Statsample::Analysis.store(Daru::DataFrame) do
+  # We set lazy_update to *true* so that time is not wasted in updating
+  # metdata every time an assignment happens.
+  Daru.lazy_update = true
 
-  ds={'a'=>a,'b'=>b}.to_dataset
+  samples = 1000
+
+  # The 'new_with_size' function lets you specify the size of the 
+  # vector as the argument and the block specifies how each element
+  # of the vector will be created.
+  a = Daru::Vector.new_with_size(samples) {r=rand(5); r==4 ? nil: r}
+  b = Daru::Vector.new_with_size(samples) {r=rand(5); r==4 ? nil: r}
+
+  # Pass the Daru::Vector objects in a Hash to the DataFrame constructor
+  # to make a DataFrame.
+  # 
+  # The *order* option lets you specify the way the vectors in the Hash 
+  # will be ordered. Not specifyin this will order vectors in alphabetical
+  # order by default.
+  ds = Daru::DataFrame.new({:a=>a,:b=>b}, order: [:b, :a])
   summary(ds)
+
+  # Reset lazy_update to *false* to prevent other code from breaking.
+  Daru.lazy_update = false
 end
 
 if __FILE__==$0
   Statsample::Analysis.run_batch
 end