Update propNav.ipynb

Use Matplotlib jshtml for embedding saved engagement animation when run with Spyder

propNav.ipynb

@@ -31,7 +31,7 @@
     "+ Target rotation direction vector (UWt)\n",
     "+ Integration step size and stop time (T_STEP, T_STOP)\n",
     "\n",
-    "then select \"Run Selected Cell and All Below\" for Jupyter \"Run\" menu options. Processing output text and figures will be presented in an output cell following the main routine code cell immediately below the \"Processing Main Routine ...\" markdown cell."
+    "then select \"Run Selected Cell and All Below\" for Jupyter \"Run\" menu options. Processing output text and figures will be presented in output cells following the main routine code cell immediately below the \"Processing Main Routine ...\" markdown cell."
    ]
   },
   {
@@ -189,7 +189,9 @@
    "source": [
     "import sys\n",
     "\n",
-    "RUN_WITH_COLAB = False\n",
+    "RUN_WITH_SPYDER = False\n",
+    "RUN_WITH_COLAB  = False\n",
+    "\n",
     "if RUN_WITH_COLAB:\n",
     "    from google.colab import widgets\n",
     "    from google.colab import drive\n",
@@ -237,9 +239,13 @@
     "    if RUN_WITH_COLAB:\n",
     "        %matplotlib inline\n",
     "    else:\n",
-    "        from matplotlib import rc\n",
-    "        rc('animation', html='jshtml', embed_limit=100)\n",
-    "        #rc['animation.embed_limit'] = 100\n",
+    "        if RUN_WITH_SPYDER:\n",
+    "            # CAUTION: Embedded 'jshtml' engagement animation in saves of this\n",
+    "            #          notebook with output may be upwards of 50 Mb in size.\n",
+    "            from matplotlib import rc  # Needed to set Matplotlib animation._repr_html_()\n",
+    "            rc('animation',\n",
+    "                html='jshtml',    # Matplotlib animation will be HTML wrapped JavaScript\n",
+    "                embed_limit=100)  # Embedded animation size will be limited to 100 Mb\n",
     "        try:\n",
     "            %matplotlib ipympl\n",
     "        except:\n",
@@ -2958,8 +2964,7 @@
     "jupyter": {
      "source_hidden": true
     },
-    "outputId": "15892832-50ea-43a6-edce-a1aa50cc6831",
-    "scrolled": true
+    "outputId": "15892832-50ea-43a6-edce-a1aa50cc6831"
    },
    "outputs": [],
    "source": [
@@ -3095,19 +3100,42 @@
     "id": "a6f227aa-094a-4314-b80a-195ec1980881"
    },
    "source": [
-    "### Display Engagement Animation"
+    "### Display Saved Engagement Animation"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "20747fa8-215d-468d-9870-0d75071a1e8e",
-   "metadata": {},
+   "id": "f878a27a-9a8b-455d-9821-a861b1f29852",
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 621
+    },
+    "executionInfo": {
+     "elapsed": 731,
+     "status": "ok",
+     "timestamp": 1710972498468,
+     "user": {
+      "displayName": "Gary Deschaines",
+      "userId": "00818646848844190559"
+     },
+     "user_tz": 300
+    },
+    "id": "f878a27a-9a8b-455d-9821-a861b1f29852",
+    "jupyter": {
+     "source_hidden": true
+    },
+    "outputId": "b5302278-cadf-4e20-daee-88c53b254b3e"
+   },
    "outputs": [],
    "source": [
     "    if SAVE_ANIM and anim_filename is not None:\n",
-    "        from moviepy import editor\n",
-    "        display(editor.ipython_display(anim_filename))"
+    "        if RUN_WITH_SPYDER:\n",
+    "            display(anim)\n",
+    "        else:\n",
+    "            from moviepy import editor\n",
+    "            display(editor.ipython_display(anim_filename))"
    ]
   }
  ],