lecture-10B.ipynb

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    "# Week 10B: Dashboarding with Panel and the Holoviz Ecosystem\n",
    "\n",
    "- Section 401\n",
    "- Nov 8, 2023"
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       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
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       "      return root.Bokeh\n",
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       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
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       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
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      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import param as pm\n",
    "import panel as pn\n",
    "pn.extension()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Great examples on their documentation\n",
    "\n",
    "For more information, see the galleries on the Panel documentation:\n",
    "\n",
    "- [App Gallery](https://panel.holoviz.org/gallery/index.html)\n",
    "    - Examples of end-to-end web apps using Panel\n",
    "- [Component Gallery](https://panel.holoviz.org/reference/index.html)\n",
    "    - Examples (code snippets) for the types of panes, widgets, and layouts possible in Panel dashboards"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Two example repositories on the course's GitHub"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Example 1: Philadelphia shootings\n",
    "\n",
    "- Tools: Panel, Hvplot/Holoviews, Altair, Folium\n",
    "- This includes two separate apps: `app1.ipynb` and `app2.ipynb`\n",
    "\n",
    "[https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app](https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Example 2: NYC Taxi Trips\n",
    "\n",
    "- Tools: Panel, Hvplot/Holoviews, Altair, Datashader\n",
    "- This includes a single app: `app.ipynb`\n",
    "\n",
    "[https://github.com/MUSA-550-Fall-2023/datashader-nyc-taxi-app](https://github.com/MUSA-550-Fall-2023/datashader-nyc-taxi-app)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Panel Deployment Options\n",
    "\n",
    "There are two options for deploying Panel apps: Binder & Hugging Face.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Option #1: Binder\n",
    "\n",
    "- The example Panel apps provide options to launch the apps from the GitHub repositories on Binder\n",
    "- A free service!\n",
    "- A reasonable amount of free storage provided, e.g., enough to host the dataset of 1 million taxi trips\n",
    "\n",
    "To generate custom links for your Binder apps that say `launch app` and `launch notebook` using\n",
    "this page: [https://mybinder.readthedocs.io/en/latest/howto/badges.html](https://mybinder.readthedocs.io/en/latest/howto/badges.html).\n",
    "\n",
    "You can create the link for your app from the Binder homepage: [https://mybinder.org/](https://mybinder.org/)\n",
    "\n",
    "You'll want to create two links:\n",
    "\n",
    "#### The `app.ipynb` notebook:\n",
    "\n",
    "- Enter your repository URL\n",
    "- Specify the **file path** as `app.ipynb` (or whatever you app notebook is called)\n",
    "\n",
    "![](./imgs/binder_nb_link.png)\n",
    "\n",
    "#### The URL for the app itself\n",
    "\n",
    "- Enter your repository URL\n",
    "- Specify the **URL path** as `/panel/app`\n",
    "\n",
    "Note: if you named your file name `app-name.ipynb`, you should instead use: `/panel/app-name`\n",
    "\n",
    "![](./imgs/binder_app_link.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Option #2: Hugging Face\n",
    "\n",
    "This section describes how to deploy a Panel app to Hugging Face. See the [Panel documentation](https://panel.holoviz.org/how_to/deployment/huggingface.html) for additional info.\n",
    "\n",
    "::: {.callout-note}\n",
    "I've deployed \"app2.ipynb\" from the [philadelphia-shootings-app](https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app) to Hugging Face. That's a good reference if you're deploying an app on Hugging Face.\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Hugging Face makes deployment of arbitrary apps including Panel apps and dashboards very easy and provides a free tier to get you started. This makes it a great starting point for users not too familiar with web development and deployment.\n",
    "\n",
    "To get started, click on the following URL:\n",
    "\n",
    "[https://huggingface.co/new-space](https://huggingface.co/new-space)\n",
    "\n",
    "Once you load the above page, select the \"Docker\" Space SDK and then select the \"Panel\" template below it.\n",
    "\n",
    "This will create a new \"space\" (like a GitHub repository) on \n",
    "your Hugging Face account and deploy an example Panel dashboard. It will add code for the dashboard to the `app.py` file in the space. If you don't have an account yet, it will prompt you to sign up when you click on the link below.\n",
    "\n",
    "We can edit the template files in the browser to deploy our own dashboard instead of the example dashboard. \n",
    "Navigate to the \"Files\" tab in the space and we'll modify these files so our own dashboard will deploy.\n",
    "\n",
    "Here are the steps involved:\n",
    "\n",
    "1. Upload a \"requirements.txt\" file that includes all of the requirements for your project. See the [requirements.txt file](https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app/blob/main/requirements.txt) in this repository as an example. Hugging Face will install these dependencies using `pip`.\n",
    "\n",
    "2. Upload your Panel dashboard Jupyter notebook. For example, in this repository I uploaded \"app2.ipynb\".\n",
    "\n",
    "3. Edit the \"Dockerfile\". By default, it serves the panel dashboard in \"app.py\". Change \"/code/app.py\" in the Dockerfile to the name of the notebook you uploaded in step #2. For example, for this repository, I changed it to read: \"/code/app2.ipynb\".\n",
    "\n",
    "That's it! You should see your app \"Building\" and then \"Running\" in the Hugging Face UI. \n",
    "If there's an issue during installing the packages in your \"requirements.txt\", you'll see a \"Build error\"\n",
    "or \"Runtime error\". You can check the log output to see what went wrong and try to debug.  \n",
    "\n",
    "If everything worked, you can click on the \"App\" tab next to the \"Files\" tab to view your app! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise, time permitting\n",
    "\n",
    "Let's modify \"app1.ipynb\" in the [philadelphia-shootings-app](https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app) repository to add a dropdown widget that allows the user to see data for a victim's race/ethnicity.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 1: Create a copy of the repository\n",
    "\n",
    "The [philadelphia-shootings-app](https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app) repository is a template repo, meaning you create a copy under your own GitHub username."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Add a new parameter\n",
    "\n",
    "Add a new parameter to your dashboard class. You'll want to use a `pm.Selector` parameter. For the list of available races, let's use \"All\", \"W\", \"B\" to give the user the option of seeing all data, White victims only, or Black victims only. \n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As an example, here's what the `pm.Selector` parameter gets rendered as by Panel:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "class ExerciseExample(pm.Parameterized):\n",
    "\n",
    "    race = pm.Selector(default=\"All\", objects=[\"All\", \"W\", \"B\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
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url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"b2dced63-0c42-448d-80bc-45e75bde4571\"},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"f7aae17b-1b9c-4269-81cf-eee8b22dc2c9\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.1/dist/css/select.css\"}},{\"id\":\"9bdfe0e2-7d26-4b6a-9653-ffc9fa68fdb2\"},{\"id\":\"7950d9b7-4254-4c0c-a21a-7eeb82911344\"}],\"width\":300,\"min_width\":300,\"margin\":[5,10],\"align\":\"start\",\"title\":\"Race\",\"options\":[[\"All\",\"All\"],[\"W\",\"W\"],[\"B\",\"B\"]],\"value\":\"All\"}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"e982e08b-34fd-461e-bed5-014409a01cb1\",\"attributes\":{\"plot_id\":\"57c82e00-a17f-4bf1-8b07-5f006725a269\",\"comm_id\":\"dd4f551e38e94ca1b6f0d2a63b59115b\",\"client_comm_id\":\"35726f81032c4141995263ae0e1b8757\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"7a031015-b9c8-45b4-87bf-ecca5fdb64f6\",\"roots\":{\"57c82e00-a17f-4bf1-8b07-5f006725a269\":\"ad0c50d9-e99f-495d-9cd8-a58fba73b444\"},\"root_ids\":[\"57c82e00-a17f-4bf1-8b07-5f006725a269\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Param(ParameterizedMetaclass, name='ExerciseExample')"
      ]
     },
     "execution_count": 3,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "57c82e00-a17f-4bf1-8b07-5f006725a269"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pn.Param(ExerciseExample.param)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Update the `pm.depends()` decorators\n",
    "\n",
    "Update the dependencies in your `depends()` decorator to include your \"race\" parameter in addition to the \"days\" parameter."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4: Update the `get_data()` function\n",
    "\n",
    "Now, the `get_data()` function should return the subset of the data that depends on what the value of the \"race\" parameter is. If that parameter is \"All\", no need to do any additional filtering, but if it's \"W\" or \"B\", you should filter your dataframe and based on the \"race\" column."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "::: {.callout-important}\n",
    "## Solution\n",
    "See the [app3.ipynb](https://github.com/MUSA-550-Fall-2023/philadelphia-shootings-app/blob/main/app3.ipynb) in the \"philadelphia-shootings-app\" for the solution!\n",
    ":::"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## That's it!\n",
    "\n",
    "On to \"data science in the wild\" and predictive analytics next week!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "celltoolbar": "Slideshow",
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
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