various small changes to the notebook

holoviz-topics · Dec 10, 2024 · 6b8e6c7 · 6b8e6c7
1 parent 9ebfe8d
commit 6b8e6c7
Showing 1 changed file with 134 additions and 19 deletions.
diff --git a/volumetric_imaging/volumetric_imaging.ipynb b/volumetric_imaging/volumetric_imaging.ipynb
@@ -3,7 +3,13 @@
   {
    "cell_type": "markdown",
    "id": "cc47db48-cd14-4874-a377-e4c13de91cdd",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 106.01666259765625,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "# Volumetric Imaging\n",
     "\n",
@@ -20,7 +26,16 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "ef81c950-38e8-4c18-aec0-63ce70c34b1f",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 345,
+     "visible": true,
+     "width": 100
+    },
+    "tags": [
+     "remove-output"
+    ]
+   },
    "outputs": [],
    "source": [
     "from IPython.display import HTML\n",
@@ -34,7 +49,13 @@
   {
    "cell_type": "markdown",
    "id": "e3b92a30-50eb-4d00-ad83-0354c947f767",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 779.4500122070312,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "## Overview\n",
     "\n",
@@ -88,6 +109,11 @@
     "ExecuteTime": {
      "end_time": "2024-03-29T17:25:02.532910Z",
      "start_time": "2024-03-29T17:25:02.529856Z"
+    },
+    "panel-layout": {
+     "height": 50.850006103515625,
+     "visible": false,
+     "width": 100
     }
    },
    "source": [
@@ -98,7 +124,13 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "c83a8253-e6da-485d-96cd-ce0e783ac00d",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 101,
+     "visible": false,
+     "width": 79.249
+    }
+   },
    "outputs": [],
    "source": [
     "import param\n",
@@ -111,7 +143,13 @@
   {
    "cell_type": "markdown",
    "id": "64a50727-8c91-4d88-a82d-626e5a7715ba",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 102.5,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "## Defining the `NeuroglancerNB` Class\n",
     "\n",
@@ -247,15 +285,27 @@
   {
    "cell_type": "markdown",
    "id": "4dac819c-c3e9-4a51-be83-bf54b28f62b2",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 50.850006103515625,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "## Approach 1: Launching a New Viewer and Loading State from URL\n"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "58f1de1e-d307-4e6a-8f49-ec7f4a04cc24",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 110.35000610351562,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "In this workflow, we'll initialize a new Neuroglancer viewer and load a dataset using a parameterized URL. This allows us to explore different datasets by simply changing the URL.\n",
     "\n",
@@ -267,17 +317,32 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b5fb5bf4-83af-4180-b061-a7eac0f5ad6a",
-   "metadata": {},
+   "id": "615b234d-e8f3-4600-826d-c1db1d820bbf",
+   "metadata": {
+    "panel-layout": {
+     "height": 763.5833129882812,
+     "visible": true,
+     "width": 100
+    },
+    "tags": [
+     "remove-output"
+    ]
+   },
    "outputs": [],
    "source": [
-    "# NeuroglancerNB(show_state=True, load_demo=True)"
+    "NeuroglancerNB(show_state=True, load_demo=True)"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "9ab67ed5-625f-4be7-8c86-a5657c86a065",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 68.30000305175781,
+     "visible": false,
+     "width": 100
+    }
+   },
    "source": [
     "<img \n",
     "    src=\"./assets/approach1.png\" \n",
@@ -293,15 +358,27 @@
   {
    "cell_type": "markdown",
    "id": "afa26a39-e22f-4ae8-880e-559350e1bfc9",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 50.850006103515625,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "## Approach 2: Displaying a Pre-specified Viewer"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "2717e7f4-f098-4ba8-87a5-1e673496d740",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 185,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "Alternatively, you can provide a pre-configured `neuroglancer.viewer.Viewer` object as the `source` to display that viewer in the notebook. This allows you to set up the viewer programmatically and then embed it.\n",
     "\n",
@@ -338,16 +415,31 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "26d8d75a-4512-4d92-8c96-a5f974fc72c7",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 664.2999877929688,
+     "visible": true,
+     "width": 100
+    },
+    "tags": [
+     "remove-output"
+    ]
+   },
    "outputs": [],
    "source": [
-    "# NeuroglancerNB(source=viewer, show_state=True)"
+    "NeuroglancerNB(source=viewer, show_state=True)"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "94b0e8a2-4fa3-44b0-b7a4-8b43f9ad081f",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 68.29998779296875,
+     "visible": false,
+     "width": 100
+    }
+   },
    "source": [
     "<img \n",
     "    src=\"./assets/approach1.png\" \n",
@@ -363,7 +455,13 @@
   {
    "cell_type": "markdown",
    "id": "1247343e-44b5-46a8-a05d-511d1a392e9d",
-   "metadata": {},
+   "metadata": {
+    "panel-layout": {
+     "height": 294.66668701171875,
+     "visible": true,
+     "width": 100
+    }
+   },
    "source": [
     "## Next Steps\n",
     "\n",
@@ -400,8 +498,25 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
-  }
+   "version": "3.11.11"
+  },
+  "panel-cell-order": [
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+   "e3b92a30-50eb-4d00-ad83-0354c947f767",
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+   "c83a8253-e6da-485d-96cd-ce0e783ac00d",
+   "64a50727-8c91-4d88-a82d-626e5a7715ba",
+   "4dac819c-c3e9-4a51-be83-bf54b28f62b2",
+   "58f1de1e-d307-4e6a-8f49-ec7f4a04cc24",
+   "615b234d-e8f3-4600-826d-c1db1d820bbf",
+   "9ab67ed5-625f-4be7-8c86-a5657c86a065",
+   "afa26a39-e22f-4ae8-880e-559350e1bfc9",
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  "nbformat_minor": 5