From 1c37f55ba5cc0c4f758fa9c7064b79154c2f4fe6 Mon Sep 17 00:00:00 2001
From: marjoleinpnnl <87781337+marjoleinpnnl@users.noreply.github.com>
Date: Wed, 1 Nov 2023 16:39:53 -0700
Subject: [PATCH] Petri graph layout clean new branch (#391)

* Multi-graph special handling for 'all'.  More robust simple spring-force graph.

* set layout in graph

* any changes?

* all moved nodes stay stuck

* change variable name

* unfix by double clicking

* add layout input as argument in function rather than just the signal boolean

* Fixing node-color-scale reference.

* Graph layout passed in as dictionary-of-points (networkx convention)

* Removed 'layoutdata' flag

* retaining input x/y more clearly

* whitespace cleanup

* Improved names for x/y coordinate values.

* Example notebook

* Added tests for graph layouts.

* Future work around graph labeling.

---------

Co-authored-by: Joseph Cottam <joseph.cottam@pnnl.gov>
---
 notebook/visual examples/Graphs.ipynb         | 2545 ++++-------------
 notebook/visual examples/Scatterplot.ipynb    | 2064 +++++++++++++
 src/pyciemss/visuals/graphs.py                |   98 +-
 .../visuals/schemas/multigraph.vg.json        |   10 +-
 .../visuals/schemas/spring_graph.vg.json      |  422 +--
 test/test_visuals/test_plots.py               |   75 +
 6 files changed, 3089 insertions(+), 2125 deletions(-)
 create mode 100644 notebook/visual examples/Scatterplot.ipynb

diff --git a/notebook/visual examples/Graphs.ipynb b/notebook/visual examples/Graphs.ipynb
index 4c0526097..7edd35cd6 100644
--- a/notebook/visual examples/Graphs.ipynb	
+++ b/notebook/visual examples/Graphs.ipynb	
@@ -19,7 +19,7 @@
    "outputs": [],
    "source": [
     "import networkx as nx\n",
-    "from pyciemss.visuals import plots"
+    "from pyciemss.visuals import plots, vega\n"
    ]
   },
   {
@@ -40,7 +40,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -95,26 +95,63 @@
        "data": [
         {
          "name": "node-data",
+         "on": [
+          {
+           "modify": "node.datum",
+           "trigger": "fix.length == 2",
+           "values": "{interactionX: fix[0], interactionY: fix[1]}"
+          },
+          {
+           "modify": "reset",
+           "trigger": "reset",
+           "values": "{interactionX: null, interactionY: null}"
+          }
+         ],
          "values": [
           {
+           "fx": null,
+           "fy": null,
+           "group": "U",
            "id": 0,
-           "label": "n0"
+           "inputX": -0.1482166732511968,
+           "inputY": 0.06905348785594277,
+           "label": 0
           },
           {
+           "fx": null,
+           "fy": null,
+           "group": "X",
            "id": 1,
-           "label": "n1"
+           "inputX": -1,
+           "inputY": 0.4564093903149109,
+           "label": 1
           },
           {
+           "fx": null,
+           "fy": null,
+           "group": "W",
            "id": 2,
-           "label": "n2"
+           "inputX": 0.5833384369100308,
+           "inputY": 0.4592981281583665,
+           "label": 2
           },
           {
+           "fx": null,
+           "fy": null,
+           "group": "Z",
            "id": 3,
-           "label": "n3"
+           "inputX": 0.034337072693475655,
+           "inputY": -0.7451349045498585,
+           "label": 3
           },
           {
+           "fx": null,
+           "fy": null,
+           "group": "W",
            "id": 4,
-           "label": "n4"
+           "inputX": 0.5305411636476903,
+           "inputY": -0.2396261017793615,
+           "label": 4
           }
          ]
         },
@@ -122,39 +159,50 @@
          "name": "link-data",
          "values": [
           {
+           "group": "T",
            "source": 0,
            "target": 1
           },
           {
+           "group": "V",
            "source": 0,
            "target": 2
           },
           {
+           "group": "V",
            "source": 0,
            "target": 3
           },
           {
+           "group": "U",
            "source": 0,
            "target": 4
           },
           {
-           "source": 1,
+           "group": "W",
+           "source": 2,
            "target": 4
           },
           {
-           "source": 2,
+           "group": "Y",
+           "source": 3,
            "target": 4
           }
          ]
         }
        ],
        "description": "A node-link diagram with force-directed layout.",
-       "height": 300,
+       "height": 500,
        "legends": [
         {
          "stroke": "color",
          "symbolType": "stroke",
          "title": "Group"
+        },
+        {
+         "stroke": "colorlink",
+         "symbolType": "stroke",
+         "title": "Link Group"
         }
        ],
        "marks": [
@@ -173,6 +221,12 @@
            "cursor": {
             "value": "pointer"
            },
+           "fx": {
+            "signal": "datum.interactionX == null ? scale('xscale', datum.inputX) : datum.interactionX"
+           },
+           "fy": {
+            "signal": "datum.interactionY == null ? scale('yscale', datum.inputY) : datum.interactionY"
+           },
            "size": {
             "signal": "2 * nodeRadius * nodeRadius"
            }
@@ -182,18 +236,6 @@
           "data": "node-data"
          },
          "name": "nodes",
-         "on": [
-          {
-           "modify": "node",
-           "trigger": "fix",
-           "values": "fix === true ? {fx: node.x, fy: node.y} : {fx: fix[0], fy: fix[1]}"
-          },
-          {
-           "modify": "node",
-           "trigger": "!fix",
-           "values": "{fx: null, fy: null}"
-          }
-         ],
          "transform": [
           {
            "forces": [
@@ -231,9 +273,7 @@
             "signal": "restart"
            },
            "signal": "force",
-           "static": {
-            "signal": "static"
-           },
+           "static": true,
            "type": "force"
           }
          ],
@@ -253,7 +293,7 @@
             "value": "black"
            },
            "fontSize": {
-            "value": 15
+            "value": 10
            },
            "text": {
             "field": "datum.label"
@@ -275,9 +315,22 @@
          "name": "labels",
          "transform": [
           {
-           "as": "y",
-           "expr": "datum.y",
-           "type": "formula"
+           "anchor": [
+            "top",
+            "bottom",
+            "right",
+            "left"
+           ],
+           "avoidMarks": [
+            "nodes"
+           ],
+           "offset": [
+            1
+           ],
+           "size": {
+            "signal": "[width + 60, height]"
+           },
+           "type": "label"
           }
          ],
          "type": "text",
@@ -287,7 +340,8 @@
          "encode": {
           "update": {
            "stroke": {
-            "value": "#ccc"
+            "field": "group",
+            "scale": "colorlink"
            },
            "strokeWidth": {
             "value": 0.5
@@ -312,6 +366,69 @@
           }
          ],
          "type": "path"
+        },
+        {
+         "encode": {
+          "enter": {
+           "fill": {
+            "field": "group",
+            "scale": "colorlink"
+           },
+           "shape": {
+            "value": "triangle-right"
+           },
+           "size": {
+            "value": 40
+           },
+           "stroke": {
+            "field": "group",
+            "scale": "colorlink"
+           }
+          },
+          "hover": {
+           "opacity": {
+            "value": 1
+           }
+          },
+          "update": {
+           "x": {
+            "field": "target.x"
+           },
+           "y": {
+            "field": "target.y"
+           }
+          }
+         },
+         "from": {
+          "data": "link-data"
+         },
+         "name": "arrows",
+         "transform": [
+          {
+           "as": "tan",
+           "expr": "atan2((datum.datum.target.y-datum.datum.source.y),(datum.datum.target.x-datum.datum.source.x))",
+           "type": "formula"
+          },
+          {
+           "as": "angle",
+           "expr": "datum.tan*180/PI",
+           "type": "formula"
+          },
+          {
+           "as": "y",
+           "expr": "datum.datum.target.y - nodeRadius*sin(datum.tan)",
+           "type": "formula"
+          },
+          {
+           "as": "x",
+           "expr": "datum.datum.target.x - nodeRadius*cos(datum.tan)",
+           "type": "formula"
+          }
+         ],
+         "type": "symbol",
+         "zindex": {
+          "value": 40
+         }
         }
        ],
        "padding": 0,
@@ -326,6 +443,43 @@
           "scheme": "category20c"
          },
          "type": "ordinal"
+        },
+        {
+         "domain": {
+          "data": "link-data",
+          "field": "group"
+         },
+         "name": "colorlink",
+         "range": {
+          "scheme": "category20c"
+         },
+         "type": "ordinal"
+        },
+        {
+         "domain": {
+          "data": "node-data",
+          "field": "inputX"
+         },
+         "name": "xscale",
+         "range": [
+          10,
+          {
+           "signal": "width - 10"
+          }
+         ]
+        },
+        {
+         "domain": {
+          "data": "node-data",
+          "field": "inputY"
+         },
+         "name": "yscale",
+         "range": [
+          10,
+          {
+           "signal": "height - 10"
+          }
+         ]
         }
        ],
        "signals": [
@@ -349,13 +503,6 @@
          "name": "linkDistance",
          "value": 80
         },
-        {
-         "bind": {
-          "input": "checkbox"
-         },
-         "name": "static",
-         "value": true
-        },
         {
          "description": "State variable for active node fix status.",
          "name": "fix",
@@ -376,6 +523,17 @@
          ],
          "value": false
         },
+        {
+         "description": "Unfix node",
+         "name": "reset",
+         "on": [
+          {
+           "events": "symbol:dblclick",
+           "update": "item().datum"
+          }
+         ],
+         "value": null
+        },
         {
          "description": "Graph node most recently interacted with.",
          "name": "node",
@@ -396,12 +554,18 @@
             "signal": "fix"
            },
            "update": "fix && fix.length"
+          },
+          {
+           "events": {
+            "signal": "reset"
+           },
+           "update": "true"
           }
          ],
          "value": false
         }
        ],
-       "width": 300
+       "width": 500
       }
      },
      "metadata": {},
@@ -410,8 +574,22 @@
    ],
    "source": [
     "g = nx.generators.barabasi_albert_graph(5, 3)\n",
+    "def rand_group():\n",
+    "    possible = \"TUVWXYZ\"\n",
+    "    return random.sample(possible, 1)[0]\n",
+    "\n",
+    "node_properties = {n: {\"group\": rand_group()} for n in g.nodes()}\n",
+    "\n",
+    "pos = nx.fruchterman_reingold_layout(g)\n",
+    "\n",
+    "edge_attributions = {e: {\"group\": rand_group()}\n",
+    "                    for e in g.edges()}\n",
+    "\n",
+    "nx.set_node_attributes(g, node_properties)\n",
+    "nx.set_edge_attributes(g, edge_attributions)\n",
     "nx.set_node_attributes(g, {k:f\"n{i}\" for i, k in enumerate(g.nodes)}, \"label\")\n",
-    "schema = plots.spring_force_graph(g, node_labels=\"label\")\n",
+    "\n",
+    "schema = plots.spring_force_graph(g, node_labels=\"label\", layout=pos)\n",
     "plots.save_schema(schema, \"_schema.json\")\n",
     "plots.ipy_display(schema, format=\"interactive\")"
    ]
@@ -419,7 +597,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "67ab6bf5",
+   "id": "29942999",
    "metadata": {},
    "outputs": [
     {
@@ -433,1971 +611,460 @@
      "data": {
       "application/vnd.vega.v5+json": {
        "$schema": "https://vega.github.io/schema/vega/v5.json",
-       "axes": [
-        {
-         "labelOverlap": true,
-         "orient": "bottom",
-         "scale": "x",
-         "tickCount": {
-          "signal": "ceil(width/3)"
-         },
-         "title": {
-          "signal": "x_name"
-         }
-        },
-        {
-         "labelOverlap": true,
-         "orient": "left",
-         "scale": "y",
-         "tickCount": {
-          "signal": "ceil(height/3)"
-         },
-         "title": {
-          "signal": "y_name"
-         }
-        }
-       ],
        "data": [
         {
-         "name": "points",
-         "values": [
-          {
-           "test4": 1.4985307211641574,
-           "test5": 2.154607120895615
-          },
-          {
-           "test4": 0.18609256309747202,
-           "test5": 2.3105514262657434
-          },
-          {
-           "test4": 0.47365861217910066,
-           "test5": 2.6389708988828726
-          },
-          {
-           "test4": 0.6529136273654698,
-           "test5": 1.8746561195115532
-          },
-          {
-           "test4": 1.0258656914380422,
-           "test5": 2.3491502520810226
-          },
-          {
-           "test4": 0.13522530872952987,
-           "test5": 0.49398692445857395
-          },
-          {
-           "test4": 1.4751072740157576,
-           "test5": 1.6431532503705286
-          },
-          {
-           "test4": 2.2566940412156447,
-           "test5": 1.3195861907995494
-          },
-          {
-           "test4": 1.8196267913668573,
-           "test5": 1.1753115113703947
-          },
-          {
-           "test4": 1.1598924368134358,
-           "test5": 0.47374993866559056
-          },
-          {
-           "test4": 2.152795947691504,
-           "test5": 1.9353053773207733
-          },
-          {
-           "test4": 2.0077608975753667,
-           "test5": 1.8668277621406988
-          },
-          {
-           "test4": 1.2696228845606785,
-           "test5": 2.4119750574743666
-          },
-          {
-           "test4": 1.5552730789901883,
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-          },
-          {
-           "test4": 2.709014544885976,
-           "test5": 1.0035561976902507
-          },
-          {
-           "test4": 1.4859239549423227,
-           "test5": 2.853648281882421
-          },
-          {
-           "test4": 1.8797520124101714,
-           "test5": 0.07172509031605623
-          },
-          {
-           "test4": 0.0529950581500499,
-           "test5": 2.8849215687763756
-          },
-          {
-           "test4": 2.799792617436673,
-           "test5": 2.647288912100909
-          },
-          {
-           "test4": 2.504093490837053,
-           "test5": 2.5890733832651955
-          },
-          {
-           "test4": 0.5305829920906653,
-           "test5": 0.5705606580044874
-          },
-          {
-           "test4": 1.9588182814646262,
-           "test5": 0.18310103319131665
-          },
-          {
-           "test4": 1.1272266850222323,
-           "test5": 2.889369324890685
-          },
-          {
-           "test4": 1.3644342002964345,
-           "test5": 0.37746594810276013
-          },
+         "name": "node-data",
+         "on": [
           {
-           "test4": 1.224295775676109,
-           "test5": 1.0141927872142495
+           "modify": "node.datum",
+           "trigger": "fix.length == 2",
+           "values": "{interactionX: fix[0], interactionY: fix[1]}"
           },
           {
-           "test4": 1.2181870783617077,
-           "test5": 1.3313868743709856
-          },
+           "modify": "reset",
+           "trigger": "reset",
+           "values": "{interactionX: null, interactionY: null}"
+          }
+         ],
+         "values": [
           {
-           "test4": 0.5467254294411026,
-           "test5": 0.7905630441613349
+           "group": "U",
+           "id": 0,
+           "label": 0
           },
           {
-           "test4": 0.46550432319129564,
-           "test5": 2.60211174598442
+           "group": "T",
+           "id": 1,
+           "label": 1
           },
           {
-           "test4": 2.2528919924217035,
-           "test5": 0.4581321569558453
+           "group": "Z",
+           "id": 2,
+           "label": 2
           },
           {
-           "test4": 1.456860633335322,
-           "test5": 2.274943935477351
+           "group": "U",
+           "id": 3,
+           "label": 3
           },
           {
-           "test4": 1.3055831319399918,
-           "test5": 1.84444708551169
-          },
+           "group": "W",
+           "id": 4,
+           "label": 4
+          }
+         ]
+        },
+        {
+         "name": "link-data",
+         "values": [
           {
-           "test4": 0.5679788670259793,
-           "test5": 1.1630667246746462
+           "group": "Y",
+           "source": 0,
+           "target": 1
           },
           {
-           "test4": 2.5740719917519033,
-           "test5": 0.10185120756517496
+           "group": "T",
+           "source": 0,
+           "target": 2
           },
           {
-           "test4": 0.7301914277196087,
-           "test5": 1.3786499822600482
+           "group": "T",
+           "source": 0,
+           "target": 3
           },
           {
-           "test4": 1.9109344303280946,
-           "test5": 2.943297512416426
+           "group": "W",
+           "source": 0,
+           "target": 4
           },
           {
-           "test4": 2.25540894512815,
-           "test5": 2.212723565914129
+           "group": "X",
+           "source": 1,
+           "target": 4
           },
           {
-           "test4": 2.3352075983638336,
-           "test5": 0.783406207286168
+           "group": "T",
+           "source": 2,
+           "target": 4
+          }
+         ]
+        }
+       ],
+       "description": "A node-link diagram with force-directed layout.",
+       "height": 500,
+       "legends": [
+        {
+         "stroke": "color",
+         "symbolType": "stroke",
+         "title": "Group"
+        },
+        {
+         "stroke": "colorlink",
+         "symbolType": "stroke",
+         "title": "Link Group"
+        }
+       ],
+       "marks": [
+        {
+         "encode": {
+          "enter": {
+           "fill": {
+            "field": "group",
+            "scale": "color"
+           },
+           "stroke": {
+            "value": "white"
+           }
           },
+          "update": {
+           "cursor": {
+            "value": "pointer"
+           },
+           "fx": {
+            "signal": "datum.interactionX == null ? scale('xscale', datum.inputX) : datum.interactionX"
+           },
+           "fy": {
+            "signal": "datum.interactionY == null ? scale('yscale', datum.inputY) : datum.interactionY"
+           },
+           "size": {
+            "signal": "2 * nodeRadius * nodeRadius"
+           }
+          }
+         },
+         "from": {
+          "data": "node-data"
+         },
+         "name": "nodes",
+         "transform": [
           {
-           "test4": 0.02283136835837163,
-           "test5": 0.18181898145991882
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-          {
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-        {
-         "name": "heatmap_bins",
-         "source": "points",
-         "transform": [
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-           "field": {
-            "signal": "x_name"
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-           "signal": "x_extent",
-           "type": "extent"
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-            "y_start",
-            "y_end"
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-            "count"
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-       "height": 200,
-       "legends": [
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-         "fill": "color",
-         "gradientLength": {
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-         "title": "Count of Records"
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-         "type": "rect"
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-         "encode": {
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-         "type": "linear",
-         "zero": false
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-        {
-         "domain": {
-          "data": "heatmap_bins",
-          "field": "__count"
-         },
-         "interpolate": "hcl",
-         "name": "color",
-         "range": "heatmap",
-         "type": "linear",
-         "zero": true
-        }
-       ],
-       "signals": [
-        {
-         "bind": {
-          "input": "range",
-          "max": 100,
-          "min": 1,
-          "step": 1
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-         "description": "Max number X bins",
-         "name": "max_x_bins",
-         "value": 4
-        },
-        {
-         "bind": {
-          "input": "range",
-          "max": 100,
-          "min": 1,
-          "step": 1
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-         "description": "Max number Y bins",
-         "name": "max_y_bins",
-         "value": 4
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-         "value": "test4"
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-         "name": "y_name",
-         "value": "test5"
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-       "width": 300
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-     "metadata": {},
-     "output_type": "display_data"
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-   "source": [
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "\n",
-    "df = pd.DataFrame(3*np.random.random((100, 2)), columns=['test4', 'test5'])\n",
-    "schema = plots.heatmap_scatter(df, max_x_bins=4, max_y_bins=4)\n",
-    "plots.save_schema(schema, \"_schema.json\")\n",
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-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "6e083016",
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-           "__count": 130.8641975308642,
-           "x_end": 6.111111111111111,
-           "x_start": 5,
-           "y_end": 10.555555555555555,
-           "y_start": 9.444444444444445
-          },
-          {
-           "__count": 144.44444444444446,
-           "x_end": 7.222222222222222,
-           "x_start": 6.111111111111112,
-           "y_end": 10.555555555555555,
-           "y_start": 9.444444444444445
-          },
-          {
-           "__count": 160.49382716049382,
-           "x_end": 8.333333333333334,
-           "x_start": 7.222222222222223,
-           "y_end": 10.555555555555555,
-           "y_start": 9.444444444444445
-          },
-          {
-           "__count": 179.01234567901236,
-           "x_end": 9.444444444444445,
-           "x_start": 8.333333333333334,
-           "y_end": 10.555555555555555,
-           "y_start": 9.444444444444445
-          },
-          {
-           "__count": 200,
-           "x_end": 10.555555555555555,
-           "x_start": 9.444444444444445,
-           "y_end": 10.555555555555555,
-           "y_start": 9.444444444444445
+           "forces": [
+            {
+             "force": "center",
+             "x": {
+              "signal": "cx"
+             },
+             "y": {
+              "signal": "cy"
+             }
+            },
+            {
+             "force": "collide",
+             "radius": {
+              "signal": "nodeRadius"
+             }
+            },
+            {
+             "force": "nbody",
+             "strength": {
+              "signal": "nodeCharge"
+             }
+            },
+            {
+             "distance": {
+              "signal": "linkDistance"
+             },
+             "force": "link",
+             "links": "link-data"
+            }
+           ],
+           "iterations": 300,
+           "restart": {
+            "signal": "restart"
+           },
+           "signal": "force",
+           "static": true,
+           "type": "force"
           }
-         ]
-        }
-       ],
-       "height": 200,
-       "legends": [
-        {
-         "fill": "color",
-         "gradientLength": {
-          "signal": "height - 16"
-         },
-         "title": "Histogram Values"
-        }
-       ],
-       "marks": [
+         ],
+         "type": "symbol",
+         "zindex": 1
+        },
         {
          "encode": {
-          "update": {
+          "enter": {
+           "align": {
+            "value": "center"
+           },
+           "baseline": {
+            "value": "middle"
+           },
            "fill": {
-            "field": "__count",
-            "scale": "color"
+            "value": "black"
            },
-           "x": {
-            "field": "x_end",
-            "scale": "x"
+           "fontSize": {
+            "value": 10
            },
-           "x2": {
-            "field": "x_start",
-            "scale": "x"
+           "text": {
+            "field": "datum.label"
+           }
+          },
+          "update": {
+           "x": {
+            "field": "x"
            },
            "y": {
-            "field": "y_end",
-            "scale": "y"
+            "field": "y"
+           }
+          }
+         },
+         "from": {
+          "data": "nodes"
+         },
+         "interactive": false,
+         "name": "labels",
+         "transform": [
+          {
+           "anchor": [
+            "top",
+            "bottom",
+            "right",
+            "left"
+           ],
+           "avoidMarks": [
+            "nodes"
+           ],
+           "offset": [
+            1
+           ],
+           "size": {
+            "signal": "[width + 60, height]"
            },
-           "y2": {
-            "field": "y_start",
-            "scale": "y"
+           "type": "label"
+          }
+         ],
+         "type": "text",
+         "zindex": 2
+        },
+        {
+         "encode": {
+          "update": {
+           "stroke": {
+            "field": "group",
+            "scale": "colorlink"
+           },
+           "strokeWidth": {
+            "value": 0.5
            }
           }
          },
          "from": {
-          "data": "mesh"
+          "data": "link-data"
          },
-         "name": "marks",
-         "style": [
-          "rect"
+         "interactive": false,
+         "transform": [
+          {
+           "require": {
+            "signal": "force"
+           },
+           "shape": "line",
+           "sourceX": "datum.source.x",
+           "sourceY": "datum.source.y",
+           "targetX": "datum.target.x",
+           "targetY": "datum.target.y",
+           "type": "linkpath"
+          }
          ],
-         "type": "rect"
+         "type": "path"
         },
         {
          "encode": {
           "enter": {
            "fill": {
-            "value": "black"
+            "field": "group",
+            "scale": "colorlink"
+           },
+           "shape": {
+            "value": "triangle-right"
+           },
+           "size": {
+            "value": 40
            },
-           "fillOpacity": {
+           "stroke": {
+            "field": "group",
+            "scale": "colorlink"
+           }
+          },
+          "hover": {
+           "opacity": {
             "value": 1
            }
           },
           "update": {
-           "size": {
-            "value": 10
-           },
            "x": {
-            "field": "gamma",
-            "scale": "x"
+            "field": "target.x"
            },
            "y": {
-            "field": "alpha",
-            "scale": "y"
+            "field": "target.y"
            }
           }
          },
          "from": {
-          "data": "points"
+          "data": "link-data"
          },
-         "type": "symbol"
+         "name": "arrows",
+         "transform": [
+          {
+           "as": "tan",
+           "expr": "atan2((datum.datum.target.y-datum.datum.source.y),(datum.datum.target.x-datum.datum.source.x))",
+           "type": "formula"
+          },
+          {
+           "as": "angle",
+           "expr": "datum.tan*180/PI",
+           "type": "formula"
+          },
+          {
+           "as": "y",
+           "expr": "datum.datum.target.y - nodeRadius*sin(datum.tan)",
+           "type": "formula"
+          },
+          {
+           "as": "x",
+           "expr": "datum.datum.target.x - nodeRadius*cos(datum.tan)",
+           "type": "formula"
+          }
+         ],
+         "type": "symbol",
+         "zindex": {
+          "value": 40
+         }
         }
        ],
+       "padding": 0,
        "scales": [
         {
          "domain": {
-          "fields": [
-           {
-            "data": "points",
-            "field": "gamma"
-           },
-           {
-            "data": "mesh",
-            "field": "x_start"
-           },
-           {
-            "data": "mesh",
-            "field": "y_end"
-           }
-          ]
+          "data": "node-data",
+          "field": "group"
+         },
+         "name": "color",
+         "range": {
+          "scheme": "category20c"
+         },
+         "type": "ordinal"
+        },
+        {
+         "domain": {
+          "data": "link-data",
+          "field": "group"
+         },
+         "name": "colorlink",
+         "range": {
+          "scheme": "category20c"
+         },
+         "type": "ordinal"
+        },
+        {
+         "domain": {
+          "data": "node-data",
+          "field": "inputX"
          },
-         "name": "x",
+         "name": "xscale",
          "range": [
-          0,
+          10,
           {
-           "signal": "width"
+           "signal": "width - 10"
           }
-         ],
-         "type": "linear"
+         ]
         },
         {
          "domain": {
-          "fields": [
-           {
-            "data": "points",
-            "field": "alpha"
-           },
-           {
-            "data": "mesh",
-            "field": "y_start"
-           },
-           {
-            "data": "mesh",
-            "field": "y_end"
-           }
-          ]
+          "data": "node-data",
+          "field": "inputY"
          },
-         "name": "y",
+         "name": "yscale",
          "range": [
+          10,
+          {
+           "signal": "height - 10"
+          }
+         ]
+        }
+       ],
+       "signals": [
+        {
+         "name": "cx",
+         "update": "width / 2"
+        },
+        {
+         "name": "cy",
+         "update": "height / 2"
+        },
+        {
+         "name": "nodeRadius",
+         "value": 15
+        },
+        {
+         "name": "nodeCharge",
+         "value": -80
+        },
+        {
+         "name": "linkDistance",
+         "value": 80
+        },
+        {
+         "description": "State variable for active node fix status.",
+         "name": "fix",
+         "on": [
+          {
+           "events": "symbol:mouseout[!event.buttons], window:mouseup",
+           "update": "false"
+          },
           {
-           "signal": "height"
+           "events": "symbol:mouseover",
+           "update": "fix || true"
           },
-          0
+          {
+           "events": "[symbol:mousedown, window:mouseup] > window:mousemove!",
+           "force": true,
+           "update": "xy()"
+          }
          ],
-         "type": "linear"
+         "value": false
         },
         {
-         "domain": {
-          "data": "mesh",
-          "field": "__count"
-         },
-         "interpolate": "hcl",
-         "name": "color",
-         "range": "heatmap",
-         "type": "linear",
-         "zero": true
+         "description": "Unfix node",
+         "name": "reset",
+         "on": [
+          {
+           "events": "symbol:dblclick",
+           "update": "item().datum"
+          }
+         ],
+         "value": null
+        },
+        {
+         "description": "Graph node most recently interacted with.",
+         "name": "node",
+         "on": [
+          {
+           "events": "symbol:mouseover",
+           "update": "fix === true ? item() : node"
+          }
+         ],
+         "value": null
+        },
+        {
+         "description": "Flag to restart Force simulation upon data changes.",
+         "name": "restart",
+         "on": [
+          {
+           "events": {
+            "signal": "fix"
+           },
+           "update": "fix && fix.length"
+          },
+          {
+           "events": {
+            "signal": "reset"
+           },
+           "update": "true"
+          }
+         ],
+         "value": false
         }
        ],
-       "width": 300
+       "width": 500
       }
      },
      "metadata": {},
@@ -2405,26 +1072,22 @@
     }
    ],
    "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "from pyciemss.visuals import plots, vega\n",
-    "\n",
-    "def create_fake_data():\n",
-    "    nx, ny = (10, 10)\n",
-    "    x = np.linspace(0, 10, nx)\n",
-    "    y, a = np.linspace(0, 10, ny, retstep = True)\n",
+    "g = nx.generators.barabasi_albert_graph(5, 3)\n",
+    "def rand_group():\n",
+    "    possible = \"TUVWXYZ\"\n",
+    "    return random.sample(possible, 1)[0]\n",
     "\n",
-    "    # create mesh data\n",
-    "    xv, yv = np.meshgrid(x, y)\n",
-    "    zz = xv**2 + yv**2\n",
+    "node_properties = {n: {\"group\": rand_group()}\n",
+    "                    for n in g.nodes()}\n",
     "\n",
-    "    # create scatter plot\n",
-    "    df = pd.DataFrame(10*np.random.random((100, 2)), columns=['alpha', 'gamma'])\n",
-    "    return (xv, yv, zz), df\n",
+    "edge_attributions = {e: {\"group\": rand_group()}\n",
+    "                    for e in g.edges()}\n",
     "\n",
-    "mesh_data, scatter_data = create_fake_data()\n",
+    "nx.set_node_attributes(g, node_properties)\n",
+    "nx.set_edge_attributes(g, edge_attributions)\n",
+    "nx.set_node_attributes(g, {k:f\"n{i}\" for i, k in enumerate(g.nodes)}, \"label\")\n",
     "\n",
-    "schema = plots.heatmap_scatter(scatter_data, mesh_data)\n",
+    "schema = plots.spring_force_graph(g, node_labels=\"label\")\n",
     "plots.save_schema(schema, \"_schema.json\")\n",
     "plots.ipy_display(schema, format=\"interactive\")"
    ]
@@ -2432,7 +1095,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9d3ad843",
+   "id": "dec992e7",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/notebook/visual examples/Scatterplot.ipynb b/notebook/visual examples/Scatterplot.ipynb
new file mode 100644
index 000000000..3cfaa649b
--- /dev/null
+++ b/notebook/visual examples/Scatterplot.ipynb	
@@ -0,0 +1,2064 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a1299176",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "5c1729f7-1b0d-4913-8048-01624c506cc5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import networkx as nx\n",
+    "from pyciemss.visuals import plots\n",
+    "\n",
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "67ab6bf5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.vega.v5+json": {
+       "$schema": "https://vega.github.io/schema/vega/v5.json",
+       "axes": [
+        {
+         "labelOverlap": true,
+         "orient": "bottom",
+         "scale": "x",
+         "tickCount": {
+          "signal": "ceil(width/3)"
+         },
+         "title": {
+          "signal": "x_name"
+         }
+        },
+        {
+         "labelOverlap": true,
+         "orient": "left",
+         "scale": "y",
+         "tickCount": {
+          "signal": "ceil(height/3)"
+         },
+         "title": {
+          "signal": "y_name"
+         }
+        }
+       ],
+       "data": [
+        {
+         "name": "points",
+         "values": [
+          {
+           "test4": 1.4985307211641574,
+           "test5": 2.154607120895615
+          },
+          {
+           "test4": 0.18609256309747202,
+           "test5": 2.3105514262657434
+          },
+          {
+           "test4": 0.47365861217910066,
+           "test5": 2.6389708988828726
+          },
+          {
+           "test4": 0.6529136273654698,
+           "test5": 1.8746561195115532
+          },
+          {
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+          },
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+          },
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+          },
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+          },
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+          {
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+          {
+           "test4": 1.7453568506662316,
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+         ]
+        },
+        {
+         "name": "heatmap_bins",
+         "source": "points",
+         "transform": [
+          {
+           "field": {
+            "signal": "x_name"
+           },
+           "signal": "x_extent",
+           "type": "extent"
+          },
+          {
+           "as": [
+            "x_start",
+            "x_end"
+           ],
+           "extent": {
+            "signal": "x_extent"
+           },
+           "field": {
+            "signal": "x_name"
+           },
+           "maxbins": {
+            "signal": "max_x_bins"
+           },
+           "signal": "x_bins",
+           "type": "bin"
+          },
+          {
+           "field": {
+            "signal": "y_name"
+           },
+           "signal": "y_extent",
+           "type": "extent"
+          },
+          {
+           "as": [
+            "y_start",
+            "y_end"
+           ],
+           "extent": {
+            "signal": "y_extent"
+           },
+           "field": {
+            "signal": "y_name"
+           },
+           "maxbins": {
+            "signal": "max_y_bins"
+           },
+           "signal": "y_bins",
+           "type": "bin"
+          },
+          {
+           "as": [
+            "__count"
+           ],
+           "groupby": [
+            "x_start",
+            "x_end",
+            "y_start",
+            "y_end"
+           ],
+           "ops": [
+            "count"
+           ],
+           "type": "aggregate"
+          }
+         ]
+        }
+       ],
+       "height": 200,
+       "legends": [
+        {
+         "fill": "color",
+         "gradientLength": {
+          "signal": "height - 16"
+         },
+         "title": "Count of Records"
+        }
+       ],
+       "marks": [
+        {
+         "encode": {
+          "update": {
+           "fill": {
+            "field": "__count",
+            "scale": "color"
+           },
+           "x": {
+            "field": "x_end",
+            "scale": "x"
+           },
+           "x2": {
+            "field": "x_start",
+            "scale": "x"
+           },
+           "y": {
+            "field": "y_end",
+            "scale": "y"
+           },
+           "y2": {
+            "field": "y_start",
+            "scale": "y"
+           }
+          }
+         },
+         "from": {
+          "data": "heatmap_bins"
+         },
+         "name": "marks",
+         "style": [
+          "rect"
+         ],
+         "type": "rect"
+        },
+        {
+         "encode": {
+          "enter": {
+           "fill": {
+            "value": "black"
+           },
+           "fillOpacity": {
+            "value": 1
+           }
+          },
+          "update": {
+           "size": {
+            "value": 10
+           },
+           "x": {
+            "field": {
+             "signal": "x_name"
+            },
+            "scale": "x"
+           },
+           "y": {
+            "field": {
+             "signal": "y_name"
+            },
+            "scale": "y"
+           }
+          }
+         },
+         "from": {
+          "data": "points"
+         },
+         "type": "symbol"
+        }
+       ],
+       "scales": [
+        {
+         "bins": {
+          "signal": "x_bins"
+         },
+         "domain": {
+          "signal": "[x_bins.start, x_bins.stop]"
+         },
+         "name": "x",
+         "range": [
+          0,
+          {
+           "signal": "width"
+          }
+         ],
+         "type": "linear",
+         "zero": false
+        },
+        {
+         "bins": {
+          "signal": "y_bins"
+         },
+         "domain": {
+          "signal": "[y_bins.start, y_bins.stop]"
+         },
+         "name": "y",
+         "range": [
+          {
+           "signal": "height"
+          },
+          0
+         ],
+         "type": "linear",
+         "zero": false
+        },
+        {
+         "domain": {
+          "data": "heatmap_bins",
+          "field": "__count"
+         },
+         "interpolate": "hcl",
+         "name": "color",
+         "range": "heatmap",
+         "type": "linear",
+         "zero": true
+        }
+       ],
+       "signals": [
+        {
+         "bind": {
+          "input": "range",
+          "max": 100,
+          "min": 1,
+          "step": 1
+         },
+         "description": "Max number X bins",
+         "name": "max_x_bins",
+         "value": 4
+        },
+        {
+         "bind": {
+          "input": "range",
+          "max": 100,
+          "min": 1,
+          "step": 1
+         },
+         "description": "Max number Y bins",
+         "name": "max_y_bins",
+         "value": 4
+        },
+        {
+         "name": "x_name",
+         "value": "test4"
+        },
+        {
+         "name": "y_name",
+         "value": "test5"
+        }
+       ],
+       "width": 300
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(3*np.random.random((100, 2)), columns=['test4', 'test5'])\n",
+    "schema = plots.heatmap_scatter(df, max_x_bins=4, max_y_bins=4)\n",
+    "plots.save_schema(schema, \"_schema.json\")\n",
+    "plots.ipy_display(schema, format=\"interactive\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "6e083016",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.vega.v5+json": {
+       "$schema": "https://vega.github.io/schema/vega/v5.json",
+       "axes": [
+        {
+         "labelOverlap": true,
+         "orient": "bottom",
+         "scale": "x",
+         "tickCount": {
+          "signal": "ceil(width/3)"
+         },
+         "title": "gamma"
+        },
+        {
+         "labelOverlap": true,
+         "orient": "left",
+         "scale": "y",
+         "tickCount": {
+          "signal": "ceil(height/3)"
+         },
+         "title": "alpha"
+        }
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+       "data": [
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+           "x_start": 6.111111111111112,
+           "y_end": 9.444444444444445,
+           "y_start": 8.333333333333334
+          },
+          {
+           "__count": 139.50617283950618,
+           "x_end": 8.333333333333334,
+           "x_start": 7.222222222222223,
+           "y_end": 9.444444444444445,
+           "y_start": 8.333333333333334
+          },
+          {
+           "__count": 158.0246913580247,
+           "x_end": 9.444444444444445,
+           "x_start": 8.333333333333334,
+           "y_end": 9.444444444444445,
+           "y_start": 8.333333333333334
+          },
+          {
+           "__count": 179.01234567901236,
+           "x_end": 10.555555555555555,
+           "x_start": 9.444444444444445,
+           "y_end": 9.444444444444445,
+           "y_start": 8.333333333333334
+          },
+          {
+           "__count": 100,
+           "x_end": 0.5555555555555556,
+           "x_start": -0.5555555555555556,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 101.23456790123457,
+           "x_end": 1.6666666666666667,
+           "x_start": 0.5555555555555556,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 104.93827160493828,
+           "x_end": 2.7777777777777777,
+           "x_start": 1.6666666666666667,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 111.11111111111111,
+           "x_end": 3.8888888888888893,
+           "x_start": 2.7777777777777777,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 119.75308641975309,
+           "x_end": 5,
+           "x_start": 3.8888888888888893,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 130.8641975308642,
+           "x_end": 6.111111111111111,
+           "x_start": 5,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 144.44444444444446,
+           "x_end": 7.222222222222222,
+           "x_start": 6.111111111111112,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 160.49382716049382,
+           "x_end": 8.333333333333334,
+           "x_start": 7.222222222222223,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 179.01234567901236,
+           "x_end": 9.444444444444445,
+           "x_start": 8.333333333333334,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          },
+          {
+           "__count": 200,
+           "x_end": 10.555555555555555,
+           "x_start": 9.444444444444445,
+           "y_end": 10.555555555555555,
+           "y_start": 9.444444444444445
+          }
+         ]
+        }
+       ],
+       "height": 200,
+       "legends": [
+        {
+         "fill": "color",
+         "gradientLength": {
+          "signal": "height - 16"
+         },
+         "title": "Histogram Values"
+        }
+       ],
+       "marks": [
+        {
+         "encode": {
+          "update": {
+           "fill": {
+            "field": "__count",
+            "scale": "color"
+           },
+           "x": {
+            "field": "x_end",
+            "scale": "x"
+           },
+           "x2": {
+            "field": "x_start",
+            "scale": "x"
+           },
+           "y": {
+            "field": "y_end",
+            "scale": "y"
+           },
+           "y2": {
+            "field": "y_start",
+            "scale": "y"
+           }
+          }
+         },
+         "from": {
+          "data": "mesh"
+         },
+         "name": "marks",
+         "style": [
+          "rect"
+         ],
+         "type": "rect"
+        },
+        {
+         "encode": {
+          "enter": {
+           "fill": {
+            "value": "black"
+           },
+           "fillOpacity": {
+            "value": 1
+           }
+          },
+          "update": {
+           "size": {
+            "value": 10
+           },
+           "x": {
+            "field": "gamma",
+            "scale": "x"
+           },
+           "y": {
+            "field": "alpha",
+            "scale": "y"
+           }
+          }
+         },
+         "from": {
+          "data": "points"
+         },
+         "type": "symbol"
+        }
+       ],
+       "scales": [
+        {
+         "domain": {
+          "fields": [
+           {
+            "data": "points",
+            "field": "gamma"
+           },
+           {
+            "data": "mesh",
+            "field": "x_start"
+           },
+           {
+            "data": "mesh",
+            "field": "y_end"
+           }
+          ]
+         },
+         "name": "x",
+         "range": [
+          0,
+          {
+           "signal": "width"
+          }
+         ],
+         "type": "linear"
+        },
+        {
+         "domain": {
+          "fields": [
+           {
+            "data": "points",
+            "field": "alpha"
+           },
+           {
+            "data": "mesh",
+            "field": "y_start"
+           },
+           {
+            "data": "mesh",
+            "field": "y_end"
+           }
+          ]
+         },
+         "name": "y",
+         "range": [
+          {
+           "signal": "height"
+          },
+          0
+         ],
+         "type": "linear"
+        },
+        {
+         "domain": {
+          "data": "mesh",
+          "field": "__count"
+         },
+         "interpolate": "hcl",
+         "name": "color",
+         "range": "heatmap",
+         "type": "linear",
+         "zero": true
+        }
+       ],
+       "width": 300
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def create_fake_data():\n",
+    "    nx, ny = (10, 10)\n",
+    "    x = np.linspace(0, 10, nx)\n",
+    "    y, a = np.linspace(0, 10, ny, retstep = True)\n",
+    "\n",
+    "    # create mesh data\n",
+    "    xv, yv = np.meshgrid(x, y)\n",
+    "    zz = xv**2 + yv**2\n",
+    "\n",
+    "    # create scatter plot\n",
+    "    df = pd.DataFrame(10*np.random.random((100, 2)), columns=['alpha', 'gamma'])\n",
+    "    return (xv, yv, zz), df\n",
+    "\n",
+    "mesh_data, scatter_data = create_fake_data()\n",
+    "\n",
+    "schema = plots.heatmap_scatter(scatter_data, mesh_data)\n",
+    "plots.save_schema(schema, \"_schema.json\")\n",
+    "plots.ipy_display(schema, format=\"interactive\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d3ad843",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/pyciemss/visuals/graphs.py b/src/pyciemss/visuals/graphs.py
index b152753af..360a7a5e5 100644
--- a/src/pyciemss/visuals/graphs.py
+++ b/src/pyciemss/visuals/graphs.py
@@ -1,14 +1,19 @@
-from typing import Union
+from typing import Union, Optional
+from numbers import Number
 import networkx as nx
 
 from . import vega
 
+# TODO: The attributed-graph has more complex node_label logic than the spring-force.
+#        Which one is 'better'?  Use it in both places.
 
-def attributed_graph(graph: nx.Graph) -> vega.VegaSchema:
+
+def attributed_graph(
+    graph: nx.Graph, *, collapse_all: bool = False, node_labels: Union[str, None] = None
+) -> vega.VegaSchema:
     """Draw a graph with node/edge attributions color-coded.
 
     graph (networkx graph): A networkX graph with attributes on nodes/edges as follows.
-       label -- Node attribute used to label the nodes.  Can be anything that vega can interpret as a string.
        attribution -- Node attribute.  List of values used to color portions of the node border.
        attribution -- Edge attribute.  list of values used to color the edge.
 
@@ -16,25 +21,82 @@ def attributed_graph(graph: nx.Graph) -> vega.VegaSchema:
        NOTE: Other properties will be propogated through.
 
        TODO: Make layout in the vega schema optional (accept passed- in schemas)
-       TODO: Add interaction to the vega schema
        The color coding of attribution will be shared between nodes and edges.
+
+    node_labels
+       Node labels will be constructed as follows:
+        -- If node_labels is None, the node-id will be used
+        -- If node_labels is not "label", the attribute specified will be copied into a "label" attribute
+    collapse_all: If True AND an attribution includes all of the attributions used,
+                the attribution will be set to just "*all*".  This can be used to
+                simplify the visualization in some cases.
     """
+
+    if node_labels is None:
+        graph = nx.convert_node_labels_to_integers(graph, label_attribute="label")
+    elif node_labels == "label":
+        nx.set_node_attributes(
+            graph, nx.get_node_attributes(graph, node_labels), "label"
+        )
+
     gjson = nx.json_graph.node_link_data(graph)
 
+    possible_attributions = set()
     for n in gjson["nodes"]:
         if "attribution" not in n or len(n["attribution"]) == 0:
             raise ValueError(
-                "Every node must have an 'attribution' property with at least one element in the list."
+                f"Every node must have an 'attribution' property with at least one element in the list. Failed for {n}"
             )
+        possible_attributions.update(n["attribution"])
 
     for e in gjson["links"]:
-        if "attribution" not in n or len(n["attribution"]) == 0:
+        if "attribution" not in e or len(e["attribution"]) == 0:
             raise ValueError(
-                "Every edge must have an 'attribution' property with at least one element in the list."
+                f"Every edge must have an 'attribution' property with at least one element in the list. Failed for {e}"
             )
+        possible_attributions.update(n["attribution"])
 
     schema = vega.load_schema("multigraph.vg.json")
 
+    if collapse_all:
+        # This is category20, but with the light-gray moved up and the dark-gray removed
+        colormap = [
+            "#c7c7c7",
+            "#1f77b4",
+            "#aec7e8",
+            "#ff7f0e",
+            "#ffbb78",
+            "#2ca02c",
+            "#98df8a",
+            "#d62728",
+            "#ff9896",
+            "#9467bd",
+            "#c5b0d5",
+            "#8c564b",
+            "#c49c94",
+            "#e377c2",
+            "#f7b6d2",
+            "#bcbd22",
+            "#dbdb8d",
+            "#17becf",
+            "#9edae5",
+        ]
+        did_replace = False
+        for n in gjson["nodes"]:
+            if len(possible_attributions.difference(n["attribution"])) == 0:
+                n["attribution"] = ["*all*"]
+                did_replace = True
+
+        for e in gjson["links"]:
+            if len(possible_attributions.difference(e["attribution"])) == 0:
+                e["attribution"] = ["*all*"]
+                did_replace = True
+
+        if did_replace:
+            schema["scales"] = vega.replace_named_with(
+                schema["scales"], "color", ["range"], colormap
+            )
+
     schema["data"] = vega.replace_named_with(
         schema["data"], "node-data", ["values"], gjson["nodes"]
     )
@@ -46,21 +108,36 @@ def attributed_graph(graph: nx.Graph) -> vega.VegaSchema:
 
 
 def spring_force_graph(
-    graph: nx.Graph, node_labels: Union[str, None] = "label"
+    graph: nx.Graph,
+    node_labels: Union[str, None] = "label",
+    layout: Optional[dict[any, (Number, Number)]] = None,
+    directed_graph: bool = True,
 ) -> vega.VegaSchema:
     """Draw a general spring-force graph
 
     graph -- Networkx graph to draw
+    input_layout -- input of locations of nodes in graph as fx and fy items in data list of dictionaries
     labels -- If it is a string, that field name is used ('label' is the default; 'id' will give the networkx node-id).
               If it is None, no label is drawn.
     """
-    gjson = nx.json_graph.node_link_data(graph)
 
+    def _layout_get(id):
+        x, y = layout.get(id, (None, None))
+        return dict(zip(["inputX", "inputY", "fx", "fy"], [x, y, None, None]))
+
+    graph = nx.convert_node_labels_to_integers(graph, label_attribute=node_labels)
+    gjson = nx.json_graph.node_link_data(graph)
     schema = vega.load_schema("spring_graph.vg.json")
 
+    if layout:
+        gjson["nodes"] = [
+            {**item, **_layout_get(item[node_labels])} for item in gjson["nodes"]
+        ]
+
     schema["data"] = vega.replace_named_with(
         schema["data"], "node-data", ["values"], gjson["nodes"]
     )
+
     schema["data"] = vega.replace_named_with(
         schema["data"], "link-data", ["values"], gjson["links"]
     )
@@ -71,4 +148,7 @@ def spring_force_graph(
         labels = vega.find_named(schema["marks"], "labels")
         labels["encode"]["enter"]["text"]["field"] = f"datum.{node_labels}"
 
+    if not directed_graph:
+        schema["marks"] = vega.delete_named(schema["marks"], "arrows")
+
     return schema
diff --git a/src/pyciemss/visuals/schemas/multigraph.vg.json b/src/pyciemss/visuals/schemas/multigraph.vg.json
index ed57e2de1..44344cd05 100644
--- a/src/pyciemss/visuals/schemas/multigraph.vg.json
+++ b/src/pyciemss/visuals/schemas/multigraph.vg.json
@@ -58,7 +58,8 @@
       "type": "ordinal",
       "range": {"scheme": "category20"},
       "domain": {
-        "fields": [
+          "sort": {"order": "ascending"},
+          "fields": [
           {"data": "node-attributions", "field": "attribution"},
           {"data": "link-attributions", "field": "attribution"}
         ]
@@ -222,14 +223,17 @@
       "from": {"data": "nodes"},
       "encode": {
         "enter": {
-          "fill": {"value": "black"},
           "text": {"field": "datum.label"},
           "align": {"value": "center"},
           "baseline": {"value": "middle"}
         },
         "update": {
           "x": {"field": "x"},
-          "y": {"field": "y"}
+          "y": {"field": "y"},
+          "fill": [
+              {"test": "indexof(datum.datum.attribution, '*all*')>=0", "value": "lightgray"},
+              {"value": "gray"}
+          ]
         }
       }
     }
diff --git a/src/pyciemss/visuals/schemas/spring_graph.vg.json b/src/pyciemss/visuals/schemas/spring_graph.vg.json
index 12a01dccb..be2b24eb4 100644
--- a/src/pyciemss/visuals/schemas/spring_graph.vg.json
+++ b/src/pyciemss/visuals/schemas/spring_graph.vg.json
@@ -1,188 +1,266 @@
 {
-    "$schema": "https://vega.github.io/schema/vega/v5.json",
-    "description": "A node-link diagram with force-directed layout.",
-    "width": 300,
-    "height": 300,
-    "padding": 0,
-  
-    "signals": [
-      { "name": "cx", "update": "width / 2" },
-      { "name": "cy", "update": "height / 2" },
-      { "name": "nodeRadius", "value": 15},
-      { "name": "nodeCharge", "value": -80},
-      { "name": "linkDistance", "value": 80},
-      { "name": "static", "value": true,
-        "bind": {"input": "checkbox"} },
-      {
-        "description": "State variable for active node fix status.",
-        "name": "fix", "value": false,
-        "on": [
-          {
-            "events": "symbol:mouseout[!event.buttons], window:mouseup",
-            "update": "false"
-          },
-          {
-            "events": "symbol:mouseover",
-            "update": "fix || true"
+  "$schema": "https://vega.github.io/schema/vega/v5.json",
+  "description": "A node-link diagram with force-directed layout.",
+  "width": 500,
+  "height": 500,
+  "padding": 0,
+
+  "signals": [
+    { "name": "cx", "update": "width / 2" },
+    { "name": "cy", "update": "height / 2" },
+    { "name": "nodeRadius", "value": 15},
+    { "name": "nodeCharge", "value": -80},
+    { "name": "linkDistance", "value": 80},
+    {
+      "description": "State variable for active node fix status.",
+      "name": "fix", "value": false,
+      "on": [
+        {
+          "events": "symbol:mouseout[!event.buttons], window:mouseup",
+          "update": "false"
+        },
+        {
+          "events": "symbol:mouseover",
+          "update": "fix || true"
+        },
+        {
+          "events": "[symbol:mousedown, window:mouseup] > window:mousemove!",
+          "update": "xy()",
+          "force": true
+        }
+
+      ]
+    },
+    {
+      "description": "Unfix node",
+      "name": "reset", "value": null,
+      "on": [
+        {
+          "events": "symbol:dblclick",
+          "update": "item().datum"
+        }
+      ]
+    },
+        
+    {
+      "description": "Graph node most recently interacted with.",
+      "name": "node", "value": null,
+      "on": [
+        {
+          "events": "symbol:mouseover",
+          "update": "fix === true ? item() : node"
+        }
+      ]
+    },
+
+    {
+      "description": "Flag to restart Force simulation upon data changes.",
+      "name": "restart", "value": false,
+      "on": [
+        {"events": {"signal": "fix"}, "update": "fix && fix.length"},
+        {"events": {"signal": "reset"}, "update": "true"}
+      ]
+
+    }
+  ],
+
+  "scales": [
+    {
+      "name": "color",
+      "type": "ordinal",
+      "domain": {"data": "node-data", "field": "group"},
+      "range": {"scheme": "category20c"}
+    },
+
+    {
+      "name": "colorlink",
+      "type": "ordinal",
+      "domain": {"data": "link-data", "field": "group"},
+      "range": {"scheme": "category20c"}
+    },
+    {
+      "name": "xscale",
+      "domain": {"data": "node-data", "field": "inputX"},
+      "range": [10, {"signal": "width - 10"}]
+    },
+    {
+      "name": "yscale",
+      "domain": {"data": "node-data", "field": "inputY"},
+      "range": [10, {"signal": "height - 10"}]
+    }
+  ],
+
+  "legends": [
+    {
+      "title": "Group",
+      "stroke": "color", 
+      "symbolType": "stroke"
+    },
+
+    {
+      "title": "Link Group",
+      "stroke": "colorlink", 
+      "symbolType": "stroke"
+    }
+  ],
+
+  "marks": [
+    {
+      "name": "nodes",
+      "type": "symbol",
+      "zindex": 1,
+      "from": {"data": "node-data"},
+      "transform": [
+        {
+          "type": "force",
+          "iterations": 300,
+          "restart": {"signal": "restart"},
+          "static": true,
+          "signal": "force",
+          "forces": [
+            {"force": "center", "x": {"signal": "cx"}, "y": {"signal": "cy"}},
+            {"force": "collide", "radius": {"signal": "nodeRadius"}},
+            {"force": "nbody", "strength": {"signal": "nodeCharge"}},
+            {"force": "link", "links": "link-data",  "distance": {"signal": "linkDistance"}}
+          ]
+        }
+      ],
+      "encode": {
+        "enter": {
+          "fill": {"scale": "color", "field": "group"},
+          "stroke": {"value": "white"}
           },
-          {
-            "events": "[symbol:mousedown, window:mouseup] > window:mousemove!",
-            "update": "xy()",
-            "force": true
+        "update": {
+          "size": {"signal": "2 * nodeRadius * nodeRadius"},
+          "cursor": {"value": "pointer"},
+          "fx": {"signal": "datum.interactionX == null ? scale('xscale', datum.inputX) : datum.interactionX"},
+          "fy": {"signal": "datum.interactionY == null ? scale('yscale', datum.inputY) : datum.interactionY"}
+        }
+      }
+    },
+    {
+      "type": "text",
+      "name": "labels",
+      "from": {"data": "nodes"},
+      "zindex": 2,
+      "interactive": false, 
+      "transform": [
+        {
+          "type": "label",
+          "avoidMarks": ["nodes"],
+          "anchor": ["top", "bottom", "right", "left"],
+          "offset": [1],
+          "size": {
+              "signal": "[width + 60, height]"
           }
-        ]
+        }
+      ],
+      "encode": {
+        "enter": {
+          "fill": {"value": "black"},
+          "align": {"value": "center"},
+          "baseline": {"value": "middle"},
+          "fontSize": {"value": 10},
+          "text": {"field": "datum.id"}
+        },
+        "update": {
+          "x": {"field": "x"},
+          "y": {"field": "y"}
+        }
+      }
+    },
+    {
+      "type": "path",
+      "from": {"data": "link-data"},
+      "interactive": false,
+      "encode": {
+        "update": {
+          "stroke":  {"scale": "colorlink", "field": "group"},
+          "strokeWidth": {"value": 0.5}
+        }
       },
-      {
-        "description": "Graph node most recently interacted with.",
-        "name": "node", "value": null,
-        "on": [
-          {
-            "events": "symbol:mouseover",
-            "update": "fix === true ? item() : node"
+      "transform": [
+        {
+          "type": "linkpath",
+          "require": {"signal": "force"},
+          "shape": "line",
+          "sourceX": "datum.source.x", "sourceY": "datum.source.y",
+          "targetX": "datum.target.x", "targetY": "datum.target.y"
+        }
+      ]
+    },
+    {
+      "name":"arrows",
+      "type": "symbol",
+      "from": {"data": "link-data"},
+      "zindex": {"value": 40},
+      "encode": {
+          "enter": {
+              "fill": {"scale": "colorlink", "field": "group"},
+              "stroke": {"scale": "colorlink", "field": "group"},
+              "shape": {"value": "triangle-right"},
+              "size": {"value": 40}
+          },
+          "update": {
+              "x": {"field": "target.x"},
+              "y": {"field": "target.y"}
+          },
+          "hover": {
+              "opacity": {"value": 1}
           }
-        ]
       },
-      {
-        "description": "Flag to restart Force simulation upon data changes.",
-        "name": "restart", "value": false,
-        "on": [
-          {"events": {"signal": "fix"}, "update": "fix && fix.length"}
-        ]
-      }
-    ],
-  
-    "scales": [
-      {
-        "name": "color",
-        "type": "ordinal",
-        "domain": {"data": "node-data", "field": "group"},
-        "range": {"scheme": "category20c"}
-      }
-    ],
-  
-    "legends": [
-      {
-        "title": "Group",
-        "stroke": "color", 
-        "symbolType": "stroke"
-      }
-    ],
-
-    "marks": [
-      {
-        "name": "nodes",
-        "type": "symbol",
-        "zindex": 1,
-  
-        "from": {"data": "node-data"},
-        "on": [
+      "transform": [
           {
-            "trigger": "fix",
-            "modify": "node",
-            "values": "fix === true ? {fx: node.x, fy: node.y} : {fx: fix[0], fy: fix[1]}"
+              "type": "formula",
+              "as": "tan",
+              "expr": "atan2((datum.datum.target.y-datum.datum.source.y),(datum.datum.target.x-datum.datum.source.x))"
           },
           {
-            "trigger": "!fix",
-            "modify": "node", "values": "{fx: null, fy: null}"
-          }
-        ],
-  
-        "encode": {
-          "enter": {
-            "fill": {"scale": "color", "field": "group"},
-            "stroke": {"value": "white"}
+              "type": "formula",
+              "as": "angle",
+              "expr": "datum.tan*180/PI"
           },
-          "update": {
-            "size": {"signal": "2 * nodeRadius * nodeRadius"},
-            "cursor": {"value": "pointer"}
-          }
-        },
-  
-        "transform": [
           {
-            "type": "force",
-            "iterations": 300,
-            "restart": {"signal": "restart"},
-            "static": {"signal": "static"},
-            "signal": "force",
-            "forces": [
-              {"force": "center", "x": {"signal": "cx"}, "y": {"signal": "cy"}},
-              {"force": "collide", "radius": {"signal": "nodeRadius"}},
-              {"force": "nbody", "strength": {"signal": "nodeCharge"}},
-              {"force": "link", "links": "link-data", "distance": {"signal": "linkDistance"}}
-            ]
-          }
-        ]
-      },
-      {
-        "type": "text",
-        "name": "labels",
-        "from": {"data": "nodes"},
-        "zindex": 2,
-        "interactive": false, 
-        "transform" : [
-           {"type": "formula", "as": "y", "expr": "datum.y"}
-        ],
-        "encode": {
-          "enter": {
-            "fill": {"value": "black"},
-            "align": {"value": "center"},
-            "baseline": {"value": "middle"},
-            "fontSize": {"value":15},
-            "text": {"field": "datum.label"}
+              "type": "formula",
+              "as": "y",
+              "expr": "datum.datum.target.y - nodeRadius*sin(datum.tan)"
           },
-          "update": {
-            "x": {"field": "x"},
-            "y": {"field": "y"}
-          }
-        }
-      },
-      {
-        "type": "path",
-        "from": {"data": "link-data"},
-        "interactive": false,
-        "encode": {
-          "update": {
-            "stroke": {"value": "#ccc"},
-            "strokeWidth": {"value": 0.5}
-          }
-        },
-        "transform": [
           {
-            "type": "linkpath",
-            "require": {"signal": "force"},
-            "shape": "line",
-            "sourceX": "datum.source.x", "sourceY": "datum.source.y",
-            "targetX": "datum.target.x", "targetY": "datum.target.y"
-          }
-        ]
+              "type": "formula",
+              "as": "x",
+              "expr": "datum.datum.target.x - nodeRadius*cos(datum.tan)"
+          }  
+          ]
       }
-    ],
+  ],
 
-    "data": [
-      {
-        "name": "node-data",
-        "values": [
-          {"id": 0, "label": "Zero"},
-          {"id": 1, "label": "One"},
-          {"id": 2, "label": "Two"},
-          {"id": 3, "label": "Three"},
-          {"id": 4, "label": "Four"},
-          {"id": 5, "label": "Five"},
-          {"id": 6, "label": "Six"}
-        ]
-      },
-      {
-        "name": "link-data",
-        "values": [
-          {"id": 1, "source": 0, "target": 1},
-          {"id": 2, "source": 0, "target": 2},
-          {"id": 3, "source": 0, "target": 3},
-          {"id": 4, "source": 0, "target": 4},
-          {"id": 5, "source": 0, "target": 5},
-          {"id": 6, "source": 0, "target": 6}
-        ]
-      }
+  "data": [
+    {
+      "name": "node-data",
+      "values": [
+        {"id": 4, "label": "Zero", "group": "A", "inputX": 2, "inputY": 5, "interactionX": null, "interactionY": null},
+        {"id": 1, "label": "One", "group": "A", "inputX": 2, "inputY": 10, "interactionX": null, "interactionY": null},
+        {"id": 2, "label": "Two", "group": "B", "inputX": 2, "inputY": 5, "interactionX": null, "interactionY": null},
+        {"id": 3, "label": "Three", "group": "B", "inputX": 2, "inputY": 3, "interactionX": null, "interactionY": null},
+        {"id": 0, "label": "Four", "group": "C", "inputX": 1, "inputY": 5, "interactionX": null, "interactionY": null},
+        {"id": 5, "label": "Five", "group": "C", "inputX": 2, "inputY": 5, "interactionX": null, "interactionY": null},
+        {"id": 6, "label": "Six", "group": "C", "inputX": 2, "inputY": 5, "interactionX": null, "interactionY": null}
+      ],
+      "on": [
+        {"trigger": "fix.length == 2", "modify": "node.datum", "values": "{interactionX: fix[0], interactionY: fix[1]}"},
+        {"trigger": "reset", "modify": "reset", "values": "{interactionX: null, interactionY: null}"}
     ]
-  }
-  
\ No newline at end of file
+    },
+    {
+      "name": "link-data",
+      "values": [
+        {"id": 1, "source": 0, "target": 1, "group": "A"},
+        {"id": 2, "source": 4, "target": 2, "group": "C"},
+        {"id": 3, "source": 3, "target": 0, "group": "A"},
+        {"id": 4, "source": 2, "target": 5, "group": "C"},
+        {"id": 5, "source": 0, "target": 4, "group": "B"},
+        {"id": 6, "source": 5, "target": 0, "group": "B"}
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/test/test_visuals/test_plots.py b/test/test_visuals/test_plots.py
index 1258cfba2..e9e7e92d2 100644
--- a/test/test_visuals/test_plots.py
+++ b/test/test_visuals/test_plots.py
@@ -2,10 +2,13 @@
 import pandas as pd
 import xarray as xr
 import numpy as np
+import networkx as nx
 import json
 import torch
+import random
 
 from pathlib import Path
+from itertools import chain
 
 from pyciemss.visuals import plots, vega
 from pyciemss.utils import get_tspan
@@ -389,3 +392,75 @@ def create_fake_data():
         self.assertTrue(
             all(mesh["__count"].isin(mesh_data[2].ravel())), "Unexpected count found"
         )
+
+
+class TestGraph(unittest.TestCase):
+    def setUp(self):
+        def rand_attributions():
+            possible = "ABCD"
+            return random.sample(possible, random.randint(1, len(possible)))
+
+        def rand_label():
+            possible = "TUVWXYZ"
+            return random.randint(1, 10)
+            return random.sample(possible, 1)[0]
+
+        self.g = nx.generators.barabasi_albert_graph(5, 3)
+        node_properties = {
+            n: {"attribution": rand_attributions(), "label": rand_label()}
+            for n in self.g.nodes()
+        }
+
+        edge_attributions = {
+            e: {"attribution": rand_attributions()} for e in self.g.edges()
+        }
+
+        nx.set_node_attributes(self.g, node_properties)
+        nx.set_edge_attributes(self.g, edge_attributions)
+
+    def test_multigraph(self):
+        uncollapsed = plots.attributed_graph(self.g)
+        nodes = vega.find_named(uncollapsed["data"], "node-data")["values"]
+        edges = vega.find_named(uncollapsed["data"], "link-data")["values"]
+        self.assertEqual(len(self.g.nodes), len(nodes), "Nodes issue in conversion")
+        self.assertEqual(len(self.g.edges), len(edges), "Edges issue in conversion")
+
+        all_attributions = set(
+            chain(*nx.get_node_attributes(self.g, "attribution").values())
+        )
+        nx.set_node_attributes(self.g, {0: {"attribution": all_attributions}})
+        collapsed = plots.attributed_graph(self.g, collapse_all=True)
+        nodes = vega.find_named(collapsed["data"], "node-data")["values"]
+        edges = vega.find_named(collapsed["data"], "link-data")["values"]
+        self.assertEqual(
+            len(self.g.nodes), len(nodes), "Nodes issue in conversion (collapse-case)"
+        )
+        self.assertEqual(
+            len(self.g.edges), len(edges), "Edges issue in conversion (collapse-case)"
+        )
+        self.assertEqual(
+            [["*all*"]],
+            [n["attribution"] for n in nodes if n["label"] == 0],
+            "All tag not found as expected",
+        )
+
+    def test_springgraph(self):
+        schema = plots.spring_force_graph(self.g, node_labels="label")
+        nodes = vega.find_named(schema["data"], "node-data")["values"]
+        edges = vega.find_named(schema["data"], "link-data")["values"]
+        self.assertEqual(len(self.g.nodes), len(nodes), "Nodes issue in conversion")
+        self.assertEqual(len(self.g.edges), len(edges), "Edges issue in conversion")
+
+    def test_provided_layout(self):
+        pos = nx.fruchterman_reingold_layout(self.g)
+        schema = plots.spring_force_graph(self.g, node_labels="label", layout=pos)
+
+        nodes = vega.find_named(schema["data"], "node-data")["values"]
+        edges = vega.find_named(schema["data"], "link-data")["values"]
+        self.assertEqual(len(self.g.nodes), len(nodes), "Nodes issue in conversion")
+        self.assertEqual(len(self.g.edges), len(edges), "Edges issue in conversion")
+
+        for id, (x, y) in pos.items():
+            n = [n for n in nodes if n["label"] == id][0]
+            self.assertEqual(n["inputX"], x, f"Layout lost for {id}")
+            self.assertEqual(n["inputY"], y, f"Layout lost for {id}")