Added networkx tutorial

Author: alexsocha

docs/source/examples/basic-examples.ipynb

@@ -24,7 +24,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0e729f99cbb042f1a5417fdf3da28d55",
+       "model_id": "d7320c8630754ffba4db333c0191d038",
        "version_major": 2,
        "version_minor": 0
       },
@@ -65,7 +65,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "15fba247dc2547e2b0f7d43c89d0d95d",
+       "model_id": "3d3b3baa21644054956157ce1ae531a5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -86,7 +86,7 @@
     "\n",
     "canvas.pause(0.5)\n",
     "\n",
-    "canvas.node(1).highlight(1.0).size('1.25x').pause(0.5)\n",
+    "canvas.node(1).highlight().size('1.25x').pause(0.5)\n",
     "canvas.edge((1, 2)).traverse().color('blue')\n",
     "\n",
     "canvas"
@@ -109,7 +109,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "596c099ad4ff4fc0941bcb02f65c9d86",
+       "model_id": "6d702cf0a0bc4a85b51f8ed05488ebd6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -160,22 +160,13 @@
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
     "state": {
-     "0e729f99cbb042f1a5417fdf3da28d55": {
-      "model_module": "algorithmx-jupyter",
-      "model_module_version": "^2.0.0",
-      "model_name": "AlgorithmxModel",
-      "state": {
-       "_model_module_version": "^2.0.0",
-       "_view_module_version": "^2.0.0",
-       "events": [
-        "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"size\": [300, 200]}, \"animation\": {}}}",
-        "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"nodes\": {\"1\": {\"visible\": true}, \"2\": {\"visible\": true}}}, \"animation\": {}}}",
-        "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"edges\": {\"1-2\": {\"visible\": true, \"source\": \"1\", \"target\": \"2\"}}}, \"animation\": {}}}"
-       ],
-       "layout": "IPY_MODEL_6247c4fb9ad944938689c279a22a04bc"
-      }
+     "15f7ac161f1b47a6ab17277101697d37": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "1.1.0",
+      "model_name": "LayoutModel",
+      "state": {}
      },
-     "15fba247dc2547e2b0f7d43c89d0d95d": {
+     "3d3b3baa21644054956157ce1ae531a5": {
       "model_module": "algorithmx-jupyter",
       "model_module_version": "^2.0.0",
       "model_name": "AlgorithmxModel",
@@ -187,15 +178,15 @@
         "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"nodes\": {\"1\": {\"visible\": true}, \"2\": {\"visible\": true}}}, \"animation\": {}}}",
         "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"edges\": {\"1-2\": {\"visible\": true, \"source\": \"1\", \"target\": \"2\"}}}, \"animation\": {}}}",
         "{\"type\": \"pause\", \"queue\": \"default\", \"data\": {\"duration\": 0.5}}",
-        "{\"type\": \"highlight\", \"queue\": \"default\", \"data\": {\"attributes\": {\"nodes\": {\"1\": {\"size\": \"1.25x\"}}}, \"animation\": {\"**\": {\"linger\": 1.0}}}}",
+        "{\"type\": \"highlight\", \"queue\": \"default\", \"data\": {\"attributes\": {\"nodes\": {\"1\": {\"size\": \"1.25x\"}}}, \"animation\": {}}}",
         "{\"type\": \"pause\", \"queue\": \"default\", \"data\": {\"duration\": 0.5}}",
         "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"edges\": {\"1-2\": {\"color\": \"blue\"}}}, \"animation\": {\"edges\": {\"1-2\": {\"**\": {\"type\": \"traverse\", \"data\": {\"source\": \"1\"}}}}}}}"
        ],
-       "layout": "IPY_MODEL_8f25a8fb45f042ffbc6e84fff2de7485",
+       "layout": "IPY_MODEL_a171db688a63452081bd4370c1e1a088",
        "show_buttons": true
       }
      },
-     "596c099ad4ff4fc0941bcb02f65c9d86": {
+     "6d702cf0a0bc4a85b51f8ed05488ebd6": {
       "model_module": "algorithmx-jupyter",
       "model_module_version": "^2.0.0",
       "model_name": "AlgorithmxModel",
@@ -241,27 +232,36 @@
         "{\"type\": \"pause\", \"queue\": \"default\", \"data\": {\"duration\": 0.5}}",
         "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"edges\": {\"7-8\": {\"color\": \"green\"}}}, \"animation\": {\"edges\": {\"7-8\": {\"**\": {\"type\": \"traverse\", \"data\": {\"source\": \"7\"}}}}}}}"
        ],
-       "layout": "IPY_MODEL_98dfe61c1a7c44a899664e2083f73dd2",
+       "layout": "IPY_MODEL_15f7ac161f1b47a6ab17277101697d37",
        "show_buttons": true
       }
      },
-     "6247c4fb9ad944938689c279a22a04bc": {
+     "92fedf352f32470a9ac6964f57a40bb7": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "1.1.0",
       "model_name": "LayoutModel",
       "state": {}
      },
-     "8f25a8fb45f042ffbc6e84fff2de7485": {
+     "a171db688a63452081bd4370c1e1a088": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "1.1.0",
       "model_name": "LayoutModel",
       "state": {}
      },
-     "98dfe61c1a7c44a899664e2083f73dd2": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "1.1.0",
-      "model_name": "LayoutModel",
-      "state": {}
+     "d7320c8630754ffba4db333c0191d038": {
+      "model_module": "algorithmx-jupyter",
+      "model_module_version": "^2.0.0",
+      "model_name": "AlgorithmxModel",
+      "state": {
+       "_model_module_version": "^2.0.0",
+       "_view_module_version": "^2.0.0",
+       "events": [
+        "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"size\": [300, 200]}, \"animation\": {}}}",
+        "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"nodes\": {\"1\": {\"visible\": true}, \"2\": {\"visible\": true}}}, \"animation\": {}}}",
+        "{\"type\": \"update\", \"queue\": \"default\", \"data\": {\"attributes\": {\"edges\": {\"1-2\": {\"visible\": true, \"source\": \"1\", \"target\": \"2\"}}}, \"animation\": {}}}"
+       ],
+       "layout": "IPY_MODEL_92fedf352f32470a9ac6964f57a40bb7"
+      }
      }
     },
     "version_major": 2,