Datahandler and Unified Data Format

[dygraphs.git] / auto_tests / tests / error_bars.js

diff --git a/auto_tests/tests/error_bars.js b/auto_tests/tests/error_bars.js
index 1e9d0f4..1c3894c 100644 (file)
--- a/auto_tests/tests/error_bars.js
+++ b/auto_tests/tests/error_bars.js
@@ -135,8 +135,8 @@ errorBarsTestCase.prototype.testErrorBarsCorrectColors = function() {
 // Regression test for http://code.google.com/p/dygraphs/issues/detail?id=392
 errorBarsTestCase.prototype.testRollingAveragePreservesNaNs = function() {
   var graph = document.getElementById("graph");
-  var g = new Dygraph(graph,
-  [
+  var data = 
+    [
       [1, [null, null], [3,1]],
       [2, [2, 1], [null, null]],
       [3, [null, null], [5,1]],
@@ -145,8 +145,9 @@ errorBarsTestCase.prototype.testRollingAveragePreservesNaNs = function() {
       [6, [NaN, NaN], [null, null]],
       [8, [8, 1], [null, null]],
       [10, [10, 1], [null, null]]
-     ]
-        , {
+    ];
+  var g = new Dygraph(graph, data,
+        {
           labels: ['x', 'A', 'B' ],
           connectSeparatedPoints: true,
           drawPoints: true,
@@ -154,26 +155,20 @@ errorBarsTestCase.prototype.testRollingAveragePreservesNaNs = function() {
         }
       );
 
-  var in_series = [
-    [1, [null, null]],
-    [2, [2, 1]],
-    [3, [null, null]],
-    [4, [4, 0.5]],
-    [5, [null, null]],
-    [6, [NaN, NaN]],
-    [8, [8, 1]],
-    [10, [10, 1]]
-  ];
-  assertEquals(null, in_series[4][1][0]);
-  assertEquals(null, in_series[4][1][1]);
-  assertNaN(in_series[5][1][0]);
-  assertNaN(in_series[5][1][1]);
-
-  var out_series = g.rollingAverage(in_series, 1);
-  assertNaN(out_series[5][1][0]);
-  assertNaN(out_series[5][1][1]);
-  assertNaN(out_series[5][1][2]);
-  assertEquals(null, out_series[4][1][0]);
-  assertEquals(null, out_series[4][1][1]);
-  assertEquals(null, out_series[4][1][1]);
+  var in_series = g.dataHandler_.extractSeries(data, 1, g.attributes_);
+
+  assertEquals(null, in_series[4][1]);
+  assertEquals(null, in_series[4][2][0]);
+  assertEquals(null, in_series[4][2][1]);
+  assertNaN(in_series[5][1]);
+  assertNaN(in_series[5][2][0]);
+  assertNaN(in_series[5][2][1]);
+
+  var out_series = g.dataHandler_.rollingAverage(in_series, 1, g.attributes_);
+  assertNaN(out_series[5][1]);
+  assertNaN(out_series[5][2][0]);
+  assertNaN(out_series[5][2][1]);
+  assertEquals(null, out_series[4][1]);
+  assertEquals(null, out_series[4][2][0]);
+  assertEquals(null, out_series[4][2][1]);
 };