change layout

src/view/Manage/Map/Component/Relation.jsx

@@ -93,6 +93,7 @@ function init(container, data) {
         // },
         'drag-canvas',
         'zoom-canvas',
+        'drag-node'
       ],
     },
     defaultNode: {
@@ -107,10 +108,10 @@ function init(container, data) {
     },
     layout: {
       type: 'dendrogram',
-      direction: 'LR',
-      nodeSep: 20,
+      direction: 'V',
+      nodeSep: 25,
       rankSep: 100,
-      radial: true,
+      // radial: true,
     },
   });
 
@@ -171,7 +172,7 @@ G6.registerNode(
     draw(cfg, group) {
       // console.debug(cfg)
 
-      let r = 15, width1 = 0, width2 = 0, lineWidth = 0
+      let r = 10, width1 = 0, width2 = 0, lineWidth = 0
       if (depthCount[cfg.depth] > 10) {
         r = 7
       }
@@ -235,9 +236,9 @@ G6.registerNode(
         offsetY = lineNum * (fontSize || 12);
 
         let [x, y] = [0, r + refY + offsetY + 5]
-        if (depthCount[cfg.depth] > 10) {
-          [x, y] = textXY(root, cfg)
-        }
+        // if (depthCount[cfg.depth] > 10) {
+        //   [x, y] = textXY(root, cfg)
+        // }
 
         group.addShape('text', {
           attrs: {
@@ -465,111 +466,3 @@ function textXY(root, cfg) {
     radY * sinAngle + (sinAngle > 0 ? sinAngle * 20 : sinAngle * 10)
   ];
 }
-
-const _data = {
-  "id": "Modeling Methods",
-  "children": [
-    {
-      "id": "Classification",
-      "children": [
-        {
-          "id": "Logistic regression"
-        },
-        {
-          "id": "Linear discriminant analysis"
-        },
-        {
-          "id": "Rules"
-        },
-        {
-          "id": "Decision trees"
-        },
-        {
-          "id": "Naive Bayes"
-        },
-        {
-          "id": "K nearest neighbor"
-        },
-        {
-          "id": "Probabilistic neural network"
-        },
-        {
-          "id": "Support vector machine"
-        }
-      ]
-    },
-    {
-      "id": "Consensus",
-      "children": [
-        {
-          "id": "Models diversity",
-          "children": [
-            {
-              "id": "Different initializations"
-            },
-            {
-              "id": "Different parameter choices"
-            },
-            {
-              "id": "Different architectures"
-            },
-            {
-              "id": "Different modeling methods"
-            },
-            {
-              "id": "Different training sets"
-            },
-            {
-              "id": "Different feature sets"
-            }
-          ]
-        },
-        {
-          "id": "Methods",
-          "children": [
-            {
-              "id": "Classifier selection"
-            },
-            {
-              "id": "Classifier fusion"
-            }
-          ]
-        },
-        {
-          "id": "Common",
-          "children": [
-            {
-              "id": "Bagging"
-            },
-            {
-              "id": "Boosting"
-            },
-            {
-              "id": "AdaBoost"
-            }
-          ]
-        }
-      ]
-    },
-    {
-      "id": "Regression",
-      "children": [
-        {
-          "id": "Multiple linear regression"
-        },
-        {
-          "id": "Partial least squares"
-        },
-        {
-          "id": "Multi-layer feedforward neural network"
-        },
-        {
-          "id": "General regression neural network"
-        },
-        {
-          "id": "Support vector regression"
-        }
-      ]
-    }
-  ]
-}
\ No newline at end of file