From b363537823a71094231eeb0dff8829bd079dee04 Mon Sep 17 00:00:00 2001
From: kushalkolar <kushalkolar@gmail.com>
Date: Sun, 23 Jun 2024 16:18:50 +0200
Subject: [PATCH] after workshop

---
 intro_demo.ipynb | 252 ++++++++++++++++++++++------------------
 neuro_demo.ipynb | 291 +++++++++++++++++++++++++++++------------------
 2 files changed, 320 insertions(+), 223 deletions(-)

diff --git a/intro_demo.ipynb b/intro_demo.ipynb
index 713c21d..d865db3 100644
--- a/intro_demo.ipynb
+++ b/intro_demo.ipynb
@@ -62,27 +62,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "52c12cb2-1b3c-4578-81d6-b64b7598ffec",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: imageio in /home/caitlin/venvs/fpl/lib/python3.11/site-packages (2.34.1)\n",
-      "Requirement already satisfied: numpy in /home/caitlin/venvs/fpl/lib/python3.11/site-packages (from imageio) (1.26.4)\n",
-      "Requirement already satisfied: pillow>=8.3.2 in /home/caitlin/venvs/fpl/lib/python3.11/site-packages (from imageio) (10.3.0)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!pip install imageio"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "bdc431ce-9c99-4c8e-b925-f8136c4778cf",
    "metadata": {},
    "outputs": [],
@@ -100,14 +90,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "c3ceed4f-a32c-489a-9cad-f7cf7d188662",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0b5011f3b1f44ea88d77837e1a510f71",
+       "model_id": "e36aa378c98141ab949e9d6dcf16791b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -122,12 +112,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "MESA-INTEL: warning: cannot initialize blitter engine\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n"
+      "Unable to find extension: VK_EXT_swapchain_colorspace\n"
      ]
     },
     {
@@ -135,9 +120,10 @@
      "output_type": "stream",
      "text": [
       "Available devices:\n",
-      "🯄 (default) | Intel(R) Arc(tm) Graphics (MTL) | IntegratedGPU | Vulkan | Mesa 24.0.8-1\n",
-      "❗ | llvmpipe (LLVM 17.0.6, 256 bits) | CPU | Vulkan | Mesa 24.0.8-1 (LLVM 17.0.6)\n",
-      "❗ | Mesa Intel(R) Arc(tm) Graphics (MTL) | IntegratedGPU | OpenGL | \n"
+      "🯄 | AMD Radeon Graphics (RADV REMBRANDT) | IntegratedGPU | Vulkan | Mesa 22.3.6\n",
+      "✅ (default) | NVIDIA T1200 Laptop GPU | DiscreteGPU | Vulkan | 535.129.03\n",
+      "❗ | llvmpipe (LLVM 15.0.6, 256 bits) | CPU | Vulkan | Mesa 22.3.6 (LLVM 15.0.6)\n",
+      "❗ | AMD Radeon Graphics (rembrandt, LLVM 15.0.6, DRM 3.52, 6.4.0-0.deb12.2-amd64) | Unknown | OpenGL | \n"
      ]
     }
    ],
@@ -157,14 +143,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "602a6498-d4ed-4b5f-80b8-1f6db5b59460",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1b1416e693344605b2e4b38994313d88",
+       "model_id": "c258251b26924cb6841e9efe2c18c3cb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -175,20 +161,13 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
        "JupyterOutputContext(children=(JupyterWgpuCanvas(css_height='500px', css_width='600px'), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-scale scene'), Button(icon='align-center', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-center scene'), ToggleButton(value=True, icon='hand-pointer', layout=Layout(width='auto'), tooltip='panzoom controller'), ToggleButton(value=True, description='1:1', layout=Layout(width='auto'), style=ToggleButtonStyle(font_weight='bold'), tooltip='maintain aspect'), Button(icon='arrow-down', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='y-axis direction'), Button(icon='draw-polygon', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='add PolygonSelector'), ToggleButton(value=False, icon='video', layout=Layout(width='auto'), tooltip='record'), Dropdown(description='Subplots:', layout=Layout(width='200px'), options=('(0, 0)',), value='(0, 0)')))))"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -226,7 +205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "94ab4863-aa46-472d-a32a-19617dc24917",
    "metadata": {},
    "outputs": [],
@@ -248,7 +227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "cca79223-30c8-4e67-800c-d2d96f6a59ca",
    "metadata": {},
    "outputs": [
@@ -258,7 +237,7 @@
        "(512, 512)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -269,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "4bac341a-d89b-41ba-92be-7b87abc2e6f5",
    "metadata": {},
    "outputs": [],
@@ -288,7 +267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "289a9df8-c218-4de8-922b-51a314674bf5",
    "metadata": {},
    "outputs": [],
@@ -306,7 +285,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "c567c61e-9475-4036-aaec-b668c74ca676",
    "metadata": {},
    "outputs": [],
@@ -317,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "1295d135-482d-447c-aaf3-96820455e201",
    "metadata": {},
    "outputs": [],
@@ -339,14 +318,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "eb989954-c5b8-4d56-8796-b7bd1d47001d",
    "metadata": {},
    "outputs": [],
    "source": [
     "# create new random data the same shape as the original image\n",
     "### insert code\n",
+    "new_data = np.random.rand(*image_graphic.data.value.shape)\n",
     "\n",
+    "image_graphic.data = new_data\n",
     "# update the data \n",
     "### insert code"
    ]
@@ -361,13 +342,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "18f7cb43-3e2d-493a-a0aa-4cd4a7efc948",
    "metadata": {},
    "outputs": [],
    "source": [
     "# reset the vmin/vmax\n",
-    "### insert code here"
+    "### insert code here\n",
+    "image_graphic.reset_vmin_vmax()"
    ]
   },
   {
@@ -380,17 +362,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "b6f705c6-6616-4f93-a4a6-5b24bb731958",
    "metadata": {},
    "outputs": [],
    "source": [
-    "### insert code here\n"
+    "### insert code here\n",
+    "image_graphic.cmap = \"hsv\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "8f4a8b9d-9817-43ef-815f-276ff36f6171",
    "metadata": {},
    "outputs": [],
@@ -411,14 +394,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "39e4b3a4-3975-478e-8470-74b4cbe3522f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "731290d6e8474cce9fab6477b9d26aaf",
+       "model_id": "46aa562e93cf49ae9ad32179774800f2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -435,7 +418,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(css_height='500px', css_width='600px'), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-scale scene'), Button(icon='align-center', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-center scene'), ToggleButton(value=True, icon='hand-pointer', layout=Layout(width='auto'), tooltip='panzoom controller'), ToggleButton(value=True, description='1:1', layout=Layout(width='auto'), style=ToggleButtonStyle(font_weight='bold'), tooltip='maintain aspect'), Button(icon='arrow-down', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='y-axis direction'), Button(icon='draw-polygon', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='add PolygonSelector'), ToggleButton(value=False, icon='video', layout=Layout(width='auto'), tooltip='record'), Dropdown(description='Subplots:', layout=Layout(width='200px'), options=('(0, 0)',), value='(0, 0)')))))"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -467,7 +450,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "ad014d22-5618-48d8-a4b0-894284df5556",
    "metadata": {},
    "outputs": [],
@@ -499,66 +482,109 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "3ab5b823-bd5b-42f7-a1e0-ab4a78cb7aff",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2de5f107f37f40cd887654936c14e202",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "RFBOutputContext()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# create a new fig\n",
     "### insert code here\n",
+    "practice_fig = fpl.Figure()\n",
     "\n",
     "# create random data in the shape (512, 512)\n",
     "### insert code here\n",
+    "data = np.random.rand(512,512)\n",
     "\n",
     "# add image to plot\n",
-    "### insert code here\n"
+    "### insert code here\n",
+    "image_graphic = practice_fig[0,0].add_image(data=data, cmap=\"viridis\", name=\"random-image\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "6098b032-362b-494c-938e-27e159d822ce",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt'…"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# show the plot\n",
-    "### insert code here\n"
+    "### insert code here\n",
+    "practice_fig.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "id": "cef0d2fe-20a0-4f97-abaa-fa976ecedb5e",
    "metadata": {},
    "outputs": [],
    "source": [
     "# set the top-left and bottom-right quadrants of the data to 1\n",
-    "### insert code here\n"
+    "### insert code here\n",
+    "practice_fig[0,0][\"random-image\"].data[:256, :256] = 1\n",
+    "practice_fig[0,0][\"random-image\"].data[256:, 256:] = 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "id": "941ab3e5-cbfb-48dd-a237-b83b57008c2d",
    "metadata": {},
    "outputs": [],
    "source": [
     "# define an animation function to update the top-right and bottom-left quadrants with new random data\n",
     "### insert code here\n",
-    "\n",
+    "def update_data(plot_instance):\n",
+    "    new_data = np.random.rand(256, 256)\n",
+    "    plot_instance[0,0][\"random-image\"].data[:256, 256:] = new_data\n",
+    "    plot_instance[0,0][\"random-image\"].data[256:, :256] = new_data\n",
     "# add the animation function to the figure\n",
-    "### insert code here\n"
+    "### insert code here\n",
+    "\n",
+    "practice_fig.add_animations(update_data)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "id": "bfd121ce-584b-447a-a155-d9188e64b316",
    "metadata": {},
    "outputs": [],
    "source": [
     "# close the plot\n",
-    "### insert code here\n"
+    "### insert code here\n",
+    "practice_fig.close()"
    ]
   },
   {
@@ -581,7 +607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "id": "31516018-632d-41fc-9e13-cb88a6159b8d",
    "metadata": {},
    "outputs": [],
@@ -612,14 +638,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "id": "72e36685-ebf8-4691-b2c1-271c9bf6eda3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f1a27239e68948fd989d61f0cf5a7cb1",
+       "model_id": "c97bd85cd21745a2b9032868b890b7d1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -634,7 +660,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/caitlin/repos/fastplotlib/fastplotlib/graphics/_features/_base.py:21: UserWarning: casting float64 array to float32\n",
+      "/home/kushal/venvs/workshop/lib/python3.11/site-packages/fastplotlib/graphics/_features/_base.py:21: UserWarning: casting float64 array to float32\n",
       "  warn(f\"casting {array.dtype} array to float32\")\n"
      ]
     },
@@ -644,7 +670,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-scale scene'), Button(icon='align-center', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-center scene'), ToggleButton(value=True, icon='hand-pointer', layout=Layout(width='auto'), tooltip='panzoom controller'), ToggleButton(value=True, description='1:1', layout=Layout(width='auto'), style=ToggleButtonStyle(font_weight='bold'), tooltip='maintain aspect'), Button(icon='arrow-up', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='y-axis direction'), Button(icon='draw-polygon', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='add PolygonSelector'), ToggleButton(value=False, icon='video', layout=Layout(width='auto'), tooltip='record'), Dropdown(description='Subplots:', layout=Layout(width='200px'), options=('(0, 0)',), value='(0, 0)')))))"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -679,7 +705,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "id": "d63d971e-2d08-4e9d-81ed-eb8df6de0a8f",
    "metadata": {},
    "outputs": [],
@@ -692,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "id": "ef97df2e-1862-4f03-8286-e049e2e06038",
    "metadata": {},
    "outputs": [],
@@ -703,7 +729,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "31030051-b7d3-4d3a-991b-d68b099c5067",
    "metadata": {},
    "outputs": [],
@@ -716,7 +742,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "id": "99e25363-03dd-449a-b648-7d5ee628105d",
    "metadata": {},
    "outputs": [],
@@ -737,7 +763,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "id": "53896982-33c9-480e-a2c0-fdcdf485f816",
    "metadata": {},
    "outputs": [],
@@ -748,7 +774,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 31,
    "id": "75d72707-d641-4960-9441-286105be36eb",
    "metadata": {},
    "outputs": [
@@ -758,7 +784,7 @@
        "26214400"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -769,7 +795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 32,
    "id": "7277575b-195d-484a-bf3b-923ef4a9a990",
    "metadata": {},
    "outputs": [
@@ -779,7 +805,7 @@
        "(100, 4, 256, 256)"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -791,7 +817,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 33,
    "id": "d25bb23f-9d03-40f8-82c7-9770388dde57",
    "metadata": {},
    "outputs": [
@@ -801,7 +827,7 @@
        "4"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -814,14 +840,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 34,
    "id": "680a7202-550c-4b26-a35c-72a4e4caea29",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aa9c92938b8d4e499ff031d25ad398ae",
+       "model_id": "b8d1ad9cb08f49408f699836ec3d8355",
        "version_major": 2,
        "version_minor": 0
       },
@@ -844,7 +870,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 35,
    "id": "60f3a1af-9293-4e81-9bc0-30010cd8dd4a",
    "metadata": {},
    "outputs": [
@@ -854,7 +880,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-scale scene'), Button(icon='align-center', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-center scene'), ToggleButton(value=True, icon='hand-pointer', layout=Layout(width='auto'), tooltip='panzoom controller'), ToggleButton(value=True, description='1:1', layout=Layout(width='auto'), style=ToggleButtonStyle(font_weight='bold'), tooltip='maintain aspect'), Button(icon='arrow-down', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='y-axis direction'), Button(icon='draw-polygon', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='add PolygonSelector'), ToggleButton(value=False, icon='video', layout=Layout(width='auto'), tooltip='record'), Dropdown(description='Subplots:', layout=Layout(width='200px'), options=('plane-0', 'plane-1', 'plane-2', 'plane-3'), value='plane-0'))), IpywidgetImageWidgetToolbar(children=(HBox(children=(Button(icon='adjust', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='reset vmin/vmax'), Button(description='reset', icon='adjust', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='reset vmin/vmax and reset histogram using current frame'), Play(value=0, description='play/pause', interval=10, max=99), BoundedIntText(value=1, description='Step Size:', layout=Layout(width='150px'), max=99, min=1, tooltip='set slider step'), BoundedIntText(value=100, description='Speed', layout=Layout(width='150px'), max=1000, min=1, step=50, tooltip='Playback speed, this is NOT framerate.\\nArbitrary units between 1 - 1,000'))), IntSlider(value=0, description='dimension: t', max=99)))))"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -873,7 +899,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 36,
    "id": "f595ddf0-5dfd-486e-ac4c-b34aa64862a8",
    "metadata": {},
    "outputs": [],
@@ -883,7 +909,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 37,
    "id": "cb60d702-db37-42bf-9ada-298006ae46df",
    "metadata": {},
    "outputs": [],
@@ -906,14 +932,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 38,
    "id": "13299d8d-2748-476c-a8b9-69c05321ee44",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3a3782a868f34da0b037f014498dcbfa",
+       "model_id": "0c3bb5def3ba4500b0ba3c2c70a4eec0",
        "version_major": 2,
        "version_minor": 0
       },
@@ -935,7 +961,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 39,
    "id": "201bf7c3-2d36-4fe6-9f7b-5dc5f1afe1ef",
    "metadata": {},
    "outputs": [
@@ -950,7 +976,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt'…"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -961,7 +987,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 40,
    "id": "a7db958b-623f-4157-926c-d5045d9d0116",
    "metadata": {},
    "outputs": [],
@@ -980,14 +1006,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 41,
    "id": "7f5a6b74-693a-4cb6-bec5-d8464b0a9da6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b858d053bcba4dd6a70f52fd9a9c210b",
+       "model_id": "6fe8b4f0583e41c1a426b6d1cbb3cc76",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1004,7 +1030,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-scale scene'), Button(icon='align-center', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='auto-center scene'), ToggleButton(value=True, icon='hand-pointer', layout=Layout(width='auto'), tooltip='panzoom controller'), ToggleButton(value=True, description='1:1', layout=Layout(width='auto'), style=ToggleButtonStyle(font_weight='bold'), tooltip='maintain aspect'), Button(icon='arrow-up', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='y-axis direction'), Button(icon='draw-polygon', layout=Layout(width='auto'), style=ButtonStyle(), tooltip='add PolygonSelector'), ToggleButton(value=False, icon='video', layout=Layout(width='auto'), tooltip='record'), Dropdown(description='Subplots:', layout=Layout(width='200px'), options=('(0, 0)',), value='(0, 0)')))))"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1037,7 +1063,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "id": "5dc7f467-51e7-4df4-9856-8c897a407d68",
    "metadata": {},
    "outputs": [],
@@ -1055,7 +1081,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "id": "ad6963da-bd09-49ca-84c2-0fc94d873cd2",
    "metadata": {},
    "outputs": [],
@@ -1073,7 +1099,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "id": "1d62006a-4e6c-402d-8813-b8cf8cf1739d",
    "metadata": {},
    "outputs": [],
@@ -1241,7 +1267,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "13b439710c6d4796aa33b4829cf27248",
+       "model_id": "d81c04254d8f46d18f6afbd97ed3e70d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1268,7 +1294,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
+       "model_id": "d7907ee50af14a3cb0ec30436b24c2a3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1352,7 +1378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "id": "d628720c-94ec-4ea8-be63-16746ebd127a",
    "metadata": {},
    "outputs": [],
@@ -1362,7 +1388,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "id": "e9b9ebed-cff1-40a5-b20d-1b6b2cb21d5d",
    "metadata": {},
    "outputs": [],
@@ -1389,14 +1415,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 52,
    "id": "a9114d6d-d472-4140-93ba-71b53511cbea",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d076ec645cd64a3792cd0dcee26e1874",
+       "model_id": "44f2a75cb97c461eaf13fcfcd8114657",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1410,7 +1436,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
+       "model_id": "c94b235d9ff7492586a82d3ad9ff6f4e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1418,7 +1444,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt'…"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1439,7 +1465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 53,
    "id": "58df2108-c4c6-49a5-9ed5-6190145b8f96",
    "metadata": {},
    "outputs": [],
@@ -1457,7 +1483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": null,
    "id": "18e2344d-c608-4079-80c9-0e482514818f",
    "metadata": {},
    "outputs": [],
@@ -1475,14 +1501,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 54,
    "id": "c440b95a-7d76-46ac-aa52-966bb9648a6e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "41ba205e05004e45bda2295113315782",
+       "model_id": "3143c785457349178fd8d52876c9fb57",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1496,7 +1522,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "",
+       "model_id": "9ef3d4fb18f34adf9a8a8599bcb807bd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1504,7 +1530,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt'…"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1547,7 +1573,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": null,
    "id": "8b454250-eb4f-4f71-a743-7432886907c9",
    "metadata": {},
    "outputs": [],
@@ -1597,7 +1623,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,
diff --git a/neuro_demo.ipynb b/neuro_demo.ipynb
index 68fdc54..203193e 100644
--- a/neuro_demo.ipynb
+++ b/neuro_demo.ipynb
@@ -18,47 +18,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "99751d32-4ec7-4555-ab6d-b2926ba0f27b",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "35e84ce94cc74423befd1016d8a50838",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Image(value=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x01,\\x00\\x00\\x007\\x08\\x06\\x00\\x00\\x00\\xb6\\x1bw\\x99\\x…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "MESA-INTEL: warning: cannot initialize blitter engine\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n",
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Available devices:\n",
-      "🯄 (default) | Intel(R) Arc(tm) Graphics (MTL) | IntegratedGPU | Vulkan | Mesa 24.0.8-1\n",
-      "❗ | llvmpipe (LLVM 17.0.6, 256 bits) | CPU | Vulkan | Mesa 24.0.8-1 (LLVM 17.0.6)\n",
-      "❗ | Mesa Intel(R) Arc(tm) Graphics (MTL) | IntegratedGPU | OpenGL | \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import fastplotlib as fpl\n",
     "import pynapple as nap\n",
@@ -69,12 +32,13 @@
     "from sklearn.preprocessing import StandardScaler\n",
     "from scipy.ndimage import gaussian_filter1d\n",
     "from sidecar import Sidecar\n",
+    "#from workshop_utils.store_model import TimeStore\n",
     "from time_store import TimeStore"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "03e1a4e1-43e8-491c-acb6-42a825914ad2",
    "metadata": {},
    "outputs": [],
@@ -84,6 +48,24 @@
     "fpl.config.party_parrot = True"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6cab3966-5276-427d-bbf3-87a50b2932f1",
+   "metadata": {},
+   "source": [
+    "## **Add this❗**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "8c5c6e4c-3903-4a57-99c4-78a49ca07e9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "7ca263fa-c81a-4d01-858c-f47e4df567df",
@@ -102,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "id": "d615ea13-18ec-47a0-8e46-caa71c23b3d2",
    "metadata": {},
    "outputs": [],
@@ -112,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "41a3eabe-c5f9-42dc-9bee-f54d700a01da",
    "metadata": {},
    "outputs": [
@@ -136,7 +118,7 @@
        "┕━━━━━━━━━━━━━━━━━━━━━━━┷━━━━━━━━━━━━━┙"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -157,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "id": "8161fbb7-f03e-49ef-a53f-2107bfef3da3",
    "metadata": {},
    "outputs": [],
@@ -175,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "id": "30532af5-d92b-414a-a7f7-2ee38d98e17e",
    "metadata": {},
    "outputs": [
@@ -185,7 +167,7 @@
        "(9045, 204, 256)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -205,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "id": "c318349d-4987-461d-8851-a1fe8b6ef2b8",
    "metadata": {},
    "outputs": [
@@ -215,7 +197,7 @@
        "(17886, 136, 166)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -225,6 +207,82 @@
     "calcium_data.shape  # (time, x, y)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "bd903975-f705-4fdb-b379-49e2f143b8d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Time (s)\n",
+       "----------  -----------------\n",
+       "7.4164      [[26 ... 31] ...]\n",
+       "7.48355     [[28 ... 31] ...]\n",
+       "7.5507      [[25 ... 29] ...]\n",
+       "7.61785     [[28 ... 30] ...]\n",
+       "7.685       [[25 ... 28] ...]\n",
+       "7.7521      [[24 ... 30] ...]\n",
+       "7.81925     [[23 ... 30] ...]\n",
+       "...\n",
+       "1206.5961   [[28 ... 32] ...]\n",
+       "1206.66325  [[25 ... 28] ...]\n",
+       "1206.7304   [[30 ... 33] ...]\n",
+       "1206.79755  [[25 ... 27] ...]\n",
+       "1206.8647   [[28 ... 30] ...]\n",
+       "1206.93185  [[26 ... 31] ...]\n",
+       "1206.999    [[29 ... 29] ...]\n",
+       "dtype: uint8, shape: (17866, 136, 166)"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "calcium_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "f8095d01-2321-4e8b-9df7-91771bd6dfae",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Time (s)\n",
+       "----------  -----------------\n",
+       "7.39305     [[35 ... 44] ...]\n",
+       "7.5264      [[35 ... 44] ...]\n",
+       "7.6597      [[35 ... 44] ...]\n",
+       "7.79305     [[35 ... 44] ...]\n",
+       "7.92635     [[35 ... 44] ...]\n",
+       "8.0597      [[35 ... 44] ...]\n",
+       "8.193       [[35 ... 44] ...]\n",
+       "...\n",
+       "1212.3944   [[35 ... 44] ...]\n",
+       "1212.5277   [[35 ... 45] ...]\n",
+       "1212.66105  [[35 ... 45] ...]\n",
+       "1212.79435  [[35 ... 44] ...]\n",
+       "1212.9277   [[35 ... 44] ...]\n",
+       "1213.061    [[35 ... 45] ...]\n",
+       "1213.19435  [[35 ... 44] ...]\n",
+       "dtype: uint8, shape: (9045, 204, 256)"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "behavior_data"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "ec9aa23d-b513-4fdc-a80c-7881a8f93072",
@@ -235,7 +293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "id": "e53612db-83ad-42c3-a2b9-249d219d0e4e",
    "metadata": {},
    "outputs": [
@@ -263,7 +321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "id": "86f7321b-9165-4ebd-8add-133e155a3a8a",
    "metadata": {},
    "outputs": [],
@@ -285,7 +343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "b707fe30-84de-4081-9896-76ea289a60f2",
    "metadata": {},
    "outputs": [],
@@ -295,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "id": "67831ff2-2ce2-4619-b6c7-7e94f8b9863a",
    "metadata": {},
    "outputs": [
@@ -322,7 +380,7 @@
        "dtype: float64, shape: (144709, 2)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -341,7 +399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "id": "0f2e6aca-a89c-403a-b2d3-fc920410cc37",
    "metadata": {},
    "outputs": [
@@ -351,7 +409,7 @@
        "(7.39305, 1213.22765)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -365,14 +423,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "id": "8d16d8b1-12ed-4edf-81e2-fb12d7fce686",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5ba681450c5f4c248add42e64af8c5b0",
+       "model_id": "7feaa223d350433e8ef26bba73e066ea",
        "version_major": 2,
        "version_minor": 0
       },
@@ -383,13 +441,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Detected skylake derivative running on mesa i915. Clears to srgb textures will use manual shader clears.\n"
-     ]
-    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
@@ -401,7 +452,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt'…"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -418,7 +469,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "id": "b1bf40df-d0cd-46b1-a8b6-8a0bd14c49e4",
    "metadata": {},
    "outputs": [],
@@ -436,14 +487,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 22,
    "id": "2426251c-8fbf-4e6f-99a6-29a6e36720c8",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0c84a824431f4e2fbaae07725740e81d",
+       "model_id": "e4c1487591aa4e64917816130c4ce9ca",
        "version_major": 2,
        "version_minor": 0
       },
@@ -487,7 +538,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 23,
    "id": "bf762a1c-1d15-4bef-82ef-218872c5208f",
    "metadata": {},
    "outputs": [],
@@ -511,7 +562,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 24,
    "id": "2eab6aa0-33b0-4a10-983c-a66296c5ff3d",
    "metadata": {},
    "outputs": [],
@@ -542,7 +593,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 25,
    "id": "d8cc4e61-ef19-4ea0-abef-d421ec83a782",
    "metadata": {},
    "outputs": [],
@@ -552,6 +603,16 @@
     "    display(VBox([nap_figure.show(), synced_time]))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "a9c00afb-a84e-4154-a1af-f13a2e528f09",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tracks_graphic.thickness = 0.2"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "c9837c9d-69b8-4bd1-b178-7aff1eddae39",
@@ -562,7 +623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 27,
    "id": "ec9ae28d-f804-45db-8747-7a2862139e70",
    "metadata": {},
    "outputs": [],
@@ -584,7 +645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 28,
    "id": "f85f796c-0cee-497f-a5fa-326ec7e5ef19",
    "metadata": {},
    "outputs": [],
@@ -595,7 +656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 29,
    "id": "8ad66e63-999b-4cb9-a69e-1c69a51e7902",
    "metadata": {},
    "outputs": [],
@@ -606,7 +667,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 30,
    "id": "0c576d03-d46f-4051-8e31-4a6bdc406278",
    "metadata": {},
    "outputs": [],
@@ -624,7 +685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 31,
    "id": "8b33757e-8f82-48df-8ff0-8feee1c56517",
    "metadata": {},
    "outputs": [],
@@ -645,7 +706,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 34,
    "id": "8e8408cc-da72-4bdb-a3c2-8668dfaf2ef8",
    "metadata": {},
    "outputs": [],
@@ -658,7 +719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 35,
    "id": "a809353a-cd85-4acd-99a5-2dfc4d7fb8e8",
    "metadata": {},
    "outputs": [],
@@ -680,7 +741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 36,
    "id": "57bb7592-7996-469e-accd-bc57927dbf0e",
    "metadata": {},
    "outputs": [],
@@ -706,7 +767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 37,
    "id": "7a2ee68e-3ed7-467c-ba6c-d0ac051df380",
    "metadata": {},
    "outputs": [
@@ -733,7 +794,7 @@
        "dtype: float64, shape: (35550, 105)"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -746,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 38,
    "id": "7b7a10cc-fe5c-41e7-87d5-29dcb2f522b4",
    "metadata": {},
    "outputs": [],
@@ -767,7 +828,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 39,
    "id": "5b654537-f5f4-4117-b53b-a8f023428cda",
    "metadata": {},
    "outputs": [],
@@ -787,7 +848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 40,
    "id": "5da1a757-ea92-4ba7-957f-d822d3d9a5a2",
    "metadata": {},
    "outputs": [],
@@ -806,7 +867,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 41,
    "id": "972ce762-5173-44ca-b938-13f3f4c5b228",
    "metadata": {},
    "outputs": [],
@@ -817,7 +878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 42,
    "id": "d9714bbb-fde3-4d46-aebf-d42b5ed38de6",
    "metadata": {},
    "outputs": [
@@ -829,7 +890,7 @@
        "        2, 85,  3, 19, 38, 17, 30, 29, 25, 84, 12, 26, 41,  9, 11,  1])"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -850,7 +911,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 43,
    "id": "b8ab6db5-6f1d-43e4-bad4-49922a50c298",
    "metadata": {},
    "outputs": [],
@@ -870,7 +931,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 44,
    "id": "823940d0-76d1-4e72-89ab-389d3b0fa9ce",
    "metadata": {},
    "outputs": [],
@@ -892,14 +953,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 45,
    "id": "2609b04d-f1c0-4b8d-ac1c-b6f7396d9801",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "eb8a9d1b73cc4a519f58b8f713cbe24f",
+       "model_id": "ca3bd4d3bcf54b1aa9b1d2853455e730",
        "version_major": 2,
        "version_minor": 0
       },
@@ -918,7 +979,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 46,
    "id": "18565a01-148c-4a66-a951-b8b6b6722419",
    "metadata": {},
    "outputs": [],
@@ -940,7 +1001,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 47,
    "id": "bdd215ac-2f9b-4a6d-b36a-9bfba0919786",
    "metadata": {},
    "outputs": [],
@@ -950,7 +1011,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 48,
    "id": "c1dcc0e5-6332-4366-94ad-8310623215ac",
    "metadata": {},
    "outputs": [],
@@ -960,7 +1021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 49,
    "id": "aad4da44-e0aa-44e3-abbb-01aad2c142b5",
    "metadata": {},
    "outputs": [],
@@ -979,7 +1040,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 50,
    "id": "2a4b7bcc-096e-4b70-bbdb-448be1b33c7c",
    "metadata": {},
    "outputs": [],
@@ -996,7 +1057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 51,
    "id": "646922ae-2c4c-448f-9e23-37ae284ee4c9",
    "metadata": {},
    "outputs": [],
@@ -1027,7 +1088,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 53,
+   "id": "69ac42b9-13f8-47b5-8155-1b9b65b91b86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tracks_graphic.visible = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
    "id": "763ee717-7fe8-441a-a5b5-bca68ef50796",
    "metadata": {},
    "outputs": [],
@@ -1069,7 +1140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 54,
    "id": "5d8bbff5-6406-442b-b55e-d94f7593fcc6",
    "metadata": {},
    "outputs": [],
@@ -1088,7 +1159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 55,
    "id": "e9f83353-c06b-4e9e-b4eb-bad477a44405",
    "metadata": {},
    "outputs": [],
@@ -1117,7 +1188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 56,
    "id": "d1c05a86-8b0d-4397-b323-5c43407bb62e",
    "metadata": {},
    "outputs": [],
@@ -1128,7 +1199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 57,
    "id": "7e1717c2-63e6-495c-83d4-2cfefdac5d86",
    "metadata": {},
    "outputs": [],
@@ -1142,14 +1213,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 58,
    "id": "22d5b513-3749-485f-b105-1a7d4908f29f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2b70cbf8419b44e188f48feedc800df8",
+       "model_id": "0448475f18044f808786f719fe58b675",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1163,7 +1234,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6341359975ba4d0786652f186bfadb3e",
+       "model_id": "06a2ac777e0943d08efb1ef3785833f5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1171,7 +1242,7 @@
        "JupyterOutputContext(children=(JupyterWgpuCanvas(), IpywidgetToolBar(children=(Button(icon='expand-arrows-alt'…"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1197,7 +1268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 59,
    "id": "e9c8d255-4bbc-4bf9-8133-561dc64a27d5",
    "metadata": {},
    "outputs": [],
@@ -1218,7 +1289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "id": "f4190905-2900-423c-8bf4-272d091b0cc1",
    "metadata": {},
    "outputs": [],
@@ -1228,7 +1299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "id": "2cd1e1da-e29e-4378-b717-560552f05129",
    "metadata": {},
    "outputs": [],
@@ -1261,7 +1332,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,