VacationPy.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VacationPy\n",
    "---\n",
    "\n",
    "## Starter Code to Import Libraries and Load the Weather and Coordinates Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   "outputs": [
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       "    return new Date();\n",
       "  }\n",
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       "\n",
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       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='p1002'>\n",
       "  <div id=\"c702301b-4555-4ca2-b122-3d7380f80bb9\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"de510232-063e-493e-a26a-edb7d9d55f7a\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"9dbaf7fa86464cfab5fa1412cc0974ee\",\"client_comm_id\":\"74a156cde4594c0ba1b0932cd2bfdb54\"}}],\"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\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"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\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
       "  var render_items = [{\"docid\":\"de510232-063e-493e-a26a-edb7d9d55f7a\",\"roots\":{\"p1002\":\"c702301b-4555-4ca2-b122-3d7380f80bb9\"},\"root_ids\":[\"p1002\"]}];\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",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await 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].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\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) {\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>"
      ]
     },
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1002"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dependencies and Setup\n",
    "import hvplot.pandas\n",
    "import pandas as pd\n",
    "import requests\n",
    "import json\n",
    "# Import API key\n",
    "from api_keys import geoapify_key\n",
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City_ID</th>\n",
       "      <th>City</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Max Temp</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Cloudiness</th>\n",
       "      <th>Wind Speed</th>\n",
       "      <th>Country</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>nemuro</td>\n",
       "      <td>43.3236</td>\n",
       "      <td>145.5750</td>\n",
       "      <td>20.32</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>2.60</td>\n",
       "      <td>JP</td>\n",
       "      <td>1726629757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>edinburgh of the seven seas</td>\n",
       "      <td>-37.0676</td>\n",
       "      <td>-12.3116</td>\n",
       "      <td>10.71</td>\n",
       "      <td>75</td>\n",
       "      <td>100</td>\n",
       "      <td>7.20</td>\n",
       "      <td>SH</td>\n",
       "      <td>1726629759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>udachny</td>\n",
       "      <td>66.4167</td>\n",
       "      <td>112.4000</td>\n",
       "      <td>0.14</td>\n",
       "      <td>66</td>\n",
       "      <td>99</td>\n",
       "      <td>8.01</td>\n",
       "      <td>RU</td>\n",
       "      <td>1726629761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>lebu</td>\n",
       "      <td>-37.6167</td>\n",
       "      <td>-73.6500</td>\n",
       "      <td>7.98</td>\n",
       "      <td>88</td>\n",
       "      <td>100</td>\n",
       "      <td>1.62</td>\n",
       "      <td>CL</td>\n",
       "      <td>1726629762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>boende</td>\n",
       "      <td>-0.2167</td>\n",
       "      <td>20.8667</td>\n",
       "      <td>22.06</td>\n",
       "      <td>91</td>\n",
       "      <td>53</td>\n",
       "      <td>1.13</td>\n",
       "      <td>CD</td>\n",
       "      <td>1726629763</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   City_ID                         City      Lat       Lng  Max Temp  \\\n",
       "0        0                       nemuro  43.3236  145.5750     20.32   \n",
       "1        1  edinburgh of the seven seas -37.0676  -12.3116     10.71   \n",
       "2        2                      udachny  66.4167  112.4000      0.14   \n",
       "3        3                         lebu -37.6167  -73.6500      7.98   \n",
       "4        4                       boende  -0.2167   20.8667     22.06   \n",
       "\n",
       "   Humidity  Cloudiness  Wind Speed Country        Date  \n",
       "0        67           0        2.60      JP  1726629757  \n",
       "1        75         100        7.20      SH  1726629759  \n",
       "2        66          99        8.01      RU  1726629761  \n",
       "3        88         100        1.62      CL  1726629762  \n",
       "4        91          53        1.13      CD  1726629763  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the CSV file created in Part 1 into a Pandas DataFrame\n",
    "city_data_df = pd.read_csv(\"output_data/cities.csv\")\n",
    "\n",
    "# Display sample data\n",
    "city_data_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### Step 1: Create a map that displays a point for every city in the `city_data_df` DataFrame. The size of the point should be the humidity in each city."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "application/vnd.holoviews_exec.v0+json": "",
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      "text/plain": [
       ":Overlay\n",
       "   .WMTS.I   :WMTS   [Longitude,Latitude]\n",
       "   .Points.I :Points   [Lng,Lat]   (Humidity)"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1322"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "\n",
    "# Configure the map plot\n",
    "map_plot= city_data_df.hvplot.points(\n",
    "    'Lng',\n",
    "    'Lat',\n",
    "    size='Humidity',\n",
    "    geo=True,\n",
    "    tiles='OSM',\n",
    "    frame_width=800,\n",
    "    frame_height=600,\n",
    ")\n",
    "\n",
    "# Display the map\n",
    "map_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Narrow down the `city_data_df` DataFrame to find your ideal weather condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City_ID</th>\n",
       "      <th>City</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Max Temp</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Cloudiness</th>\n",
       "      <th>Wind Speed</th>\n",
       "      <th>Country</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>57</td>\n",
       "      <td>manokwari</td>\n",
       "      <td>-0.8667</td>\n",
       "      <td>134.0833</td>\n",
       "      <td>29.30</td>\n",
       "      <td>70</td>\n",
       "      <td>77</td>\n",
       "      <td>6.23</td>\n",
       "      <td>ID</td>\n",
       "      <td>1726629826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>186</td>\n",
       "      <td>ta`u</td>\n",
       "      <td>-14.2336</td>\n",
       "      <td>-169.5144</td>\n",
       "      <td>26.92</td>\n",
       "      <td>70</td>\n",
       "      <td>20</td>\n",
       "      <td>1.10</td>\n",
       "      <td>AS</td>\n",
       "      <td>1726629985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>194</td>\n",
       "      <td>machico</td>\n",
       "      <td>32.7000</td>\n",
       "      <td>-16.7667</td>\n",
       "      <td>22.35</td>\n",
       "      <td>70</td>\n",
       "      <td>75</td>\n",
       "      <td>4.12</td>\n",
       "      <td>PT</td>\n",
       "      <td>1726629994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>256</td>\n",
       "      <td>tangalle</td>\n",
       "      <td>6.0240</td>\n",
       "      <td>80.7911</td>\n",
       "      <td>29.15</td>\n",
       "      <td>70</td>\n",
       "      <td>33</td>\n",
       "      <td>6.13</td>\n",
       "      <td>LK</td>\n",
       "      <td>1726630073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>296</td>\n",
       "      <td>torrevieja</td>\n",
       "      <td>37.9787</td>\n",
       "      <td>-0.6822</td>\n",
       "      <td>23.47</td>\n",
       "      <td>70</td>\n",
       "      <td>15</td>\n",
       "      <td>1.79</td>\n",
       "      <td>ES</td>\n",
       "      <td>1726630120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>329</td>\n",
       "      <td>tura</td>\n",
       "      <td>25.5198</td>\n",
       "      <td>90.2201</td>\n",
       "      <td>29.72</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>0.58</td>\n",
       "      <td>IN</td>\n",
       "      <td>1726630162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>363</td>\n",
       "      <td>angicos</td>\n",
       "      <td>-5.6656</td>\n",
       "      <td>-36.6011</td>\n",
       "      <td>23.50</td>\n",
       "      <td>70</td>\n",
       "      <td>40</td>\n",
       "      <td>10.18</td>\n",
       "      <td>BR</td>\n",
       "      <td>1726629953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>485</td>\n",
       "      <td>nisa</td>\n",
       "      <td>43.7031</td>\n",
       "      <td>7.2661</td>\n",
       "      <td>18.37</td>\n",
       "      <td>70</td>\n",
       "      <td>75</td>\n",
       "      <td>5.14</td>\n",
       "      <td>FR</td>\n",
       "      <td>1726630356</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     City_ID        City      Lat       Lng  Max Temp  Humidity  Cloudiness  \\\n",
       "57        57   manokwari  -0.8667  134.0833     29.30        70          77   \n",
       "186      186        ta`u -14.2336 -169.5144     26.92        70          20   \n",
       "194      194     machico  32.7000  -16.7667     22.35        70          75   \n",
       "256      256    tangalle   6.0240   80.7911     29.15        70          33   \n",
       "296      296  torrevieja  37.9787   -0.6822     23.47        70          15   \n",
       "329      329        tura  25.5198   90.2201     29.72        70           0   \n",
       "363      363     angicos  -5.6656  -36.6011     23.50        70          40   \n",
       "485      485        nisa  43.7031    7.2661     18.37        70          75   \n",
       "\n",
       "     Wind Speed Country        Date  \n",
       "57         6.23      ID  1726629826  \n",
       "186        1.10      AS  1726629985  \n",
       "194        4.12      PT  1726629994  \n",
       "256        6.13      LK  1726630073  \n",
       "296        1.79      ES  1726630120  \n",
       "329        0.58      IN  1726630162  \n",
       "363       10.18      BR  1726629953  \n",
       "485        5.14      FR  1726630356  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Narrow down cities that fit criteria and drop any results with null values\n",
    "ideal_temp_range = (15, 40)\n",
    "ideal_humidity = 70\n",
    "\n",
    "# Drop any rows with null values\n",
    "ideal_weather_df = city_data_df[\n",
    "(city_data_df['Max Temp'].between(ideal_temp_range[0], ideal_temp_range[1])) &\n",
    "(city_data_df['Humidity'] == ideal_humidity)\n",
    "]\n",
    "\n",
    "\n",
    "# Display sample data\n",
    "ideal_weather_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Create a new DataFrame called `hotel_df`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Country</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Hotel Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>manokwari</td>\n",
       "      <td>ID</td>\n",
       "      <td>-0.8667</td>\n",
       "      <td>134.0833</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>ta`u</td>\n",
       "      <td>AS</td>\n",
       "      <td>-14.2336</td>\n",
       "      <td>-169.5144</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>machico</td>\n",
       "      <td>PT</td>\n",
       "      <td>32.7000</td>\n",
       "      <td>-16.7667</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>tangalle</td>\n",
       "      <td>LK</td>\n",
       "      <td>6.0240</td>\n",
       "      <td>80.7911</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>torrevieja</td>\n",
       "      <td>ES</td>\n",
       "      <td>37.9787</td>\n",
       "      <td>-0.6822</td>\n",
       "      <td>70</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           City Country      Lat       Lng  Humidity Hotel Name\n",
       "57    manokwari      ID  -0.8667  134.0833        70           \n",
       "186        ta`u      AS -14.2336 -169.5144        70           \n",
       "194     machico      PT  32.7000  -16.7667        70           \n",
       "256    tangalle      LK   6.0240   80.7911        70           \n",
       "296  torrevieja      ES  37.9787   -0.6822        70           "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the Pandas copy function to create DataFrame called hotel_df to store the city, country, coordinates, and humidity\n",
    "hotel_df = ideal_weather_df[['City', 'Country', 'Lat', 'Lng', 'Humidity']].copy()\n",
    "\n",
    "# Add an empty column, \"Hotel Name,\" to the DataFrame so you can store the hotel found using the Geoapify API\n",
    "hotel_df['Hotel Name'] = ''\n",
    "\n",
    "# Display sample data\n",
    "hotel_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4: For each city, use the Geoapify API to find the first hotel located within 10,000 metres of your coordinates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting hotel search\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Hotel Arfak', 'country': 'Indonesia', 'country_code': 'id', 'region': 'Western New Guinea', 'state': 'West Papua', 'county': 'Manokwari', 'city': 'Manokwari', 'postcode': '98311', 'street': 'Jalan Brawijaya', 'lon': 134.07749540377083, 'lat': -0.86482445, 'formatted': 'Hotel Arfak, Jalan Brawijaya, Manokwari 98311, West Papua, Indonesia', 'address_line1': 'Hotel Arfak', 'address_line2': 'Jalan Brawijaya, Manokwari 98311, West Papua, Indonesia', 'categories': ['accommodation', 'accommodation.hotel', 'building', 'building.accommodation'], 'details': ['details', 'details.accommodation', 'details.facilities'], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Hotel Arfak', 'stars': 2, 'osm_id': 182809406, 'smoking': 'yes', 'tourism': 'hotel', 'building': 'yes', 'operator': 'Pemda Kab Manokwari', 'osm_type': 'w', 'wheelchair': 'no', 'internet_access': 'no'}}, 'operator': 'Pemda Kab Manokwari', 'facilities': {'internet_access': False, 'wheelchair': False, 'smoking': True}, 'accommodation': {'stars': 2}, 'distance': 645, 'place_id': '512619a4d77ac2604059cd4c2553a4acebbff00102f9013e73e50a0000000092030b486f74656c20417266616b'}, 'geometry': {'type': 'Point', 'coordinates': [134.0774954037708, -0.8648244499148859]}}]}\n",
      "manokwari - nearest hotel: Hotel Arfak\n",
      "{'type': 'FeatureCollection', 'features': []}\n",
      "ta`u - nearest hotel: No hotel found\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Residence Inn', 'country': 'Portugal', 'country_code': 'pt', 'city': 'Machico', 'village': 'Água de Pena', 'postcode': '9100-222', 'district': 'Bemposta', 'street': 'Caminho da Bemposta', 'lon': -16.78047665, 'lat': 32.70348485, 'formatted': 'Residence Inn, Caminho da Bemposta, 9100-222 Machico, Portugal', 'address_line1': 'Residence Inn', 'address_line2': 'Caminho da Bemposta, 9100-222 Machico, Portugal', 'categories': ['accommodation', 'accommodation.hotel', 'building', 'building.accommodation'], 'details': ['details'], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Residence Inn', 'osm_id': 576470701, 'tourism': 'hotel', 'building': 'yes', 'operator': 'Prisma', 'osm_type': 'w'}}, 'operator': 'Prisma', 'distance': 1334, 'place_id': '51a90a5751cdc730c059661ca3ca0b5a4040f00102f901ad3e5c220000000092030d5265736964656e636520496e6e'}, 'geometry': {'type': 'Point', 'coordinates': [-16.78047665, 32.70348484959031]}}]}\n",
      "machico - nearest hotel: Residence Inn\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Coco Tangalla', 'country': 'Sri Lanka', 'country_code': 'lk', 'state': 'Southern Province', 'county': 'Hambantota District', 'city': 'Tangalle', 'postcode': '82300', 'suburb': 'Kotuwegoda', 'street': 'Matara-Hambantota Road', 'housenumber': '355', 'lon': 80.79583218859406, 'lat': 6.02033355, 'formatted': 'Coco Tangalla, 355 Matara-Hambantota Road, Kotuwegoda, Tangalle 82300, Sri Lanka', 'address_line1': 'Coco Tangalla', 'address_line2': '355 Matara-Hambantota Road, Kotuwegoda, Tangalle 82300, Sri Lanka', 'categories': ['accommodation', 'accommodation.hotel'], 'details': ['details', 'details.contact'], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Coco Tangalla', 'phone': '+94 81 7 201115', 'osm_id': 397033586, 'landuse': 'residential', 'tourism': 'hotel', 'website': 'https://www.cocotangalla.com/', 'operator': 'Manor House Concept', 'osm_type': 'w', 'addr:city': 'Tangalle', 'addr:street': 'Mahawella Road', 'addr:housenumber': 355}}, 'website': 'https://www.cocotangalla.com/', 'operator': 'Manor House Concept', 'contact': {'phone': '+94 81 7 201115'}, 'distance': 627, 'place_id': '5166c721eaee32544059b07d6751d2141840f00102f9017240aa170000000092030d436f636f2054616e67616c6c61'}, 'geometry': {'type': 'Point', 'coordinates': [80.79583218859406, 6.020333549443805]}}]}\n",
      "tangalle - nearest hotel: Coco Tangalla\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Hotel Fontana Plaza', 'country': 'Spain', 'country_code': 'es', 'state': 'Valencian Community', 'county': 'el Baix Segura / La Vega Baja del Segura', 'province': 'Alacant / Alicante', 'city': 'Torrevieja', 'postcode': '03181', 'suburb': 'Europa', 'street': 'Rambla Juan Mateo García', 'housenumber': '19', 'lon': -0.6797752830280523, 'lat': 37.9770314, 'formatted': 'Hotel Fontana Plaza, Rambla Juan Mateo García, 19, 03181 Torrevieja, Spain', 'address_line1': 'Hotel Fontana Plaza', 'address_line2': 'Rambla Juan Mateo García, 19, 03181 Torrevieja, Spain', 'categories': ['accommodation', 'accommodation.hotel', 'building', 'building.accommodation'], 'details': ['details', 'details.accommodation', 'details.contact'], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Hotel Fontana Plaza', 'email': 'fontanaplaza@hotelfontanaplaza.com', 'phone': '+34 96 692 89 25', 'rooms': 100, 'stars': 3, 'osm_id': 693874313, 'tourism': 'hotel', 'website': 'https://www.hotelfontanaplaza.com/', 'building': 'yes', 'osm_type': 'w', 'addr:street': 'Rambla Juan Mateo García', 'addr:housenumber': 19}}, 'website': 'https://www.hotelfontanaplaza.com/', 'contact': {'phone': '+34 96 692 89 25', 'email': 'fontanaplaza@hotelfontanaplaza.com'}, 'accommodation': {'stars': 3, 'rooms': 100}, 'distance': 268, 'place_id': '5112822718b8c0e5bf5974096b5d0ffd4240f00102f90189ae5b2900000000920313486f74656c20466f6e74616e6120506c617a61'}, 'geometry': {'type': 'Point', 'coordinates': [-0.6797752830280521, 37.977031399978756]}}]}\n",
      "torrevieja - nearest hotel: Hotel Fontana Plaza\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Hotel Polo Orchid', 'country': 'India', 'country_code': 'in', 'state': 'Meghalaya', 'state_district': 'West Garo Hills District', 'county': 'Rongram', 'postcode': '794101', 'street': 'NH 127B', 'lon': 90.1922126, 'lat': 25.5143722, 'state_code': 'ML', 'formatted': 'Hotel Polo Orchid, NH 127B, - 794101, Meghalaya, India', 'address_line1': 'Hotel Polo Orchid', 'address_line2': 'NH 127B, - 794101, Meghalaya, India', 'categories': ['accommodation', 'accommodation.hotel'], 'details': [], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Hotel Polo Orchid', 'osm_id': 11350592321, 'tourism': 'hotel', 'osm_type': 'n'}}, 'distance': 2867, 'place_id': '5143b813364d8c5640598de181e5ad833940f00103f901414b8ca402000000920311486f74656c20506f6c6f204f7263686964'}, 'geometry': {'type': 'Point', 'coordinates': [90.19221259999999, 25.514372200211756]}}]}\n",
      "tura - nearest hotel: Hotel Polo Orchid\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Confort', 'country': 'Brazil', 'country_code': 'br', 'region': 'Northeast Region', 'state': 'Rio Grande do Norte', 'county': 'Região Geográfica Intermediária de Mossoró', 'city': 'Angicos', 'municipality': 'Região Geográfica Imediata de Açu', 'district': 'Angicos', 'street': 'Rua João Alexandre', 'lon': -36.6013355, 'lat': -5.6663799, 'state_code': 'RN', 'formatted': 'Confort, Rua João Alexandre, Angicos - RN, Brazil', 'address_line1': 'Confort', 'address_line2': 'Rua João Alexandre, Angicos - RN, Brazil', 'categories': ['accommodation', 'accommodation.hotel', 'internet_access'], 'details': ['details.facilities'], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Confort', 'osm_id': 4255632689, 'tourism': 'hotel', 'osm_type': 'n', 'internet_access': 'wlan'}}, 'facilities': {'internet_access': True}, 'distance': 90, 'place_id': '513e36c98ff84c42c059d55d0f7e5faa16c0f00103f90131cda7fd00000000920307436f6e666f7274'}, 'geometry': {'type': 'Point', 'coordinates': [-36.60133549999999, -5.666379899680995]}}]}\n",
      "angicos - nearest hotel: Confort\n",
      "{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'properties': {'name': 'Hôtel du Centre', 'country': 'France', 'country_code': 'fr', 'region': 'Metropolitan France', 'state': \"Provence-Alpes-Côte d'Azur\", 'county': 'Maritime Alps', 'city': 'Nice', 'municipality': 'Nice', 'postcode': '06000', 'suburb': 'Quartier Jean-Médecin', 'street': 'Rue de Suisse', 'lon': 7.2656975, 'lat': 43.7035846, 'state_code': 'PAC', 'state_COG': '93', 'formatted': 'Hôtel du Centre, Rue de Suisse, 06000 Nice, France', 'address_line1': 'Hôtel du Centre', 'address_line2': 'Rue de Suisse, 06000 Nice, France', 'categories': ['accommodation', 'accommodation.hotel'], 'details': ['details', 'details.contact', 'details.wiki_and_media'], 'datasource': {'sourcename': 'openstreetmap', 'attribution': '© OpenStreetMap contributors', 'license': 'Open Database License', 'url': 'https://www.openstreetmap.org/copyright', 'raw': {'name': 'Hôtel du Centre', 'email': 'contact@hotelducentre-nice.com', 'phone': '+33493822980', 'osm_id': 9118025855, 'tourism': 'hotel', 'website': 'https://www.hotelducentre-nice.com/', 'osm_type': 'n', 'wikidata': 'Q111122965'}}, 'website': 'https://www.hotelducentre-nice.com/', 'contact': {'phone': '+33493822980', 'email': 'contact@hotelducentre-nice.com'}, 'wiki_and_media': {'wikidata': 'Q111122965'}, 'distance': 63, 'place_id': '510e84640113101d4059e4a4680f0fda4540f00103f9017f087a1f0200000092031048c3b474656c2064752043656e747265'}, 'geometry': {'type': 'Point', 'coordinates': [7.2656975, 43.703584600539926]}}]}\n",
      "nisa - nearest hotel: Hôtel du Centre\n"
     ]
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       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Country</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Hotel Name</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>manokwari</td>\n",
       "      <td>ID</td>\n",
       "      <td>-0.8667</td>\n",
       "      <td>134.0833</td>\n",
       "      <td>70</td>\n",
       "      <td>Hotel Arfak</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>ta`u</td>\n",
       "      <td>AS</td>\n",
       "      <td>-14.2336</td>\n",
       "      <td>-169.5144</td>\n",
       "      <td>70</td>\n",
       "      <td>No hotel found</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>machico</td>\n",
       "      <td>PT</td>\n",
       "      <td>32.7000</td>\n",
       "      <td>-16.7667</td>\n",
       "      <td>70</td>\n",
       "      <td>Residence Inn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>tangalle</td>\n",
       "      <td>LK</td>\n",
       "      <td>6.0240</td>\n",
       "      <td>80.7911</td>\n",
       "      <td>70</td>\n",
       "      <td>Coco Tangalla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>torrevieja</td>\n",
       "      <td>ES</td>\n",
       "      <td>37.9787</td>\n",
       "      <td>-0.6822</td>\n",
       "      <td>70</td>\n",
       "      <td>Hotel Fontana Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>tura</td>\n",
       "      <td>IN</td>\n",
       "      <td>25.5198</td>\n",
       "      <td>90.2201</td>\n",
       "      <td>70</td>\n",
       "      <td>Hotel Polo Orchid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>angicos</td>\n",
       "      <td>BR</td>\n",
       "      <td>-5.6656</td>\n",
       "      <td>-36.6011</td>\n",
       "      <td>70</td>\n",
       "      <td>Confort</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>nisa</td>\n",
       "      <td>FR</td>\n",
       "      <td>43.7031</td>\n",
       "      <td>7.2661</td>\n",
       "      <td>70</td>\n",
       "      <td>Hôtel du Centre</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "           City Country      Lat       Lng  Humidity           Hotel Name\n",
       "57    manokwari      ID  -0.8667  134.0833        70          Hotel Arfak\n",
       "186        ta`u      AS -14.2336 -169.5144        70       No hotel found\n",
       "194     machico      PT  32.7000  -16.7667        70        Residence Inn\n",
       "256    tangalle      LK   6.0240   80.7911        70        Coco Tangalla\n",
       "296  torrevieja      ES  37.9787   -0.6822        70  Hotel Fontana Plaza\n",
       "329        tura      IN  25.5198   90.2201        70    Hotel Polo Orchid\n",
       "363     angicos      BR  -5.6656  -36.6011        70              Confort\n",
       "485        nisa      FR  43.7031    7.2661        70      Hôtel du Centre"
      ]
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     "execution_count": 13,
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   ],
   "source": [
    "# Set parameters to search for a hotel\n",
    "latitude = 16.8634\n",
    "longitude = -99.8901\n",
    "radius = 10000\n",
    "params = {\n",
    "    \"categories\": \"accommodation.hotel\",\n",
    "    \"apiKey\": geoapify_key,\n",
    "    \"limit\": 1,\n",
    "}\n",
    "\n",
    "# Print a message to follow up the hotel search\n",
    "print(\"Starting hotel search\")\n",
    "\n",
    "# Iterate through the hotel_df DataFrame\n",
    "for index, row in hotel_df.iterrows():\n",
    "    latitude = row[\"Lat\"]\n",
    "    longitude = row[\"Lng\"]\n",
    "\n",
    "    # Add the current city's latitude and longitude to the params dictionary\n",
    "    params[\"filter\"] = f\"circle:{longitude},{latitude},{radius}\"\n",
    "    params[\"bias\"] = f\"proximity:{longitude},{latitude}\"\n",
    "\n",
    "    # Set base URL\n",
    "    base_url = \"https://api.geoapify.com/v2/places\"\n",
    "\n",
    "    # Make and API request using the params dictionary\n",
    "    name_address = requests.get(base_url, params=params)\n",
    "\n",
    "    data = {}\n",
    "    \n",
    "    if name_address.status_code == 200:\n",
    "\n",
    "        data = name_address.json()\n",
    "        print(data)\n",
    "    else:\n",
    "        print(f\"Error: {name_address.status_code}\")\n",
    "   \n",
    "    # Convert the API response to JSON format\n",
    "    name_address = data\n",
    "\n",
    "    # Grab the first hotel from the results and store the name in the hotel_df DataFrame\n",
    "    try:\n",
    "        hotel_df.loc[index, \"Hotel Name\"] = name_address['features'][0][\"properties\"][\"name\"]\n",
    "    except (KeyError, IndexError):\n",
    "         #If no hotel is found, set the hotel name as \"No hotel found\"\n",
    "        hotel_df.loc[index, \"Hotel Name\"] = \"No hotel found\"\n",
    "   \n",
    "    # Log the search results\n",
    "    print(f\"{hotel_df.loc[index, 'City']} - nearest hotel: {hotel_df.loc[index, 'Hotel Name']}\")\n",
    "    #print(f\"Request URL: {base_url}?{requests.compat.urlencode(params)}\")\n",
    "# Display sample data\n",
    "hotel_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Lng</th>\n",
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       "      <th>57</th>\n",
       "      <td>manokwari</td>\n",
       "      <td>ID</td>\n",
       "      <td>-0.8667</td>\n",
       "      <td>134.0833</td>\n",
       "      <td>70</td>\n",
       "      <td>Hotel Arfak</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>ta`u</td>\n",
       "      <td>AS</td>\n",
       "      <td>-14.2336</td>\n",
       "      <td>-169.5144</td>\n",
       "      <td>70</td>\n",
       "      <td>No hotel found</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>machico</td>\n",
       "      <td>PT</td>\n",
       "      <td>32.7000</td>\n",
       "      <td>-16.7667</td>\n",
       "      <td>70</td>\n",
       "      <td>Residence Inn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>tangalle</td>\n",
       "      <td>LK</td>\n",
       "      <td>6.0240</td>\n",
       "      <td>80.7911</td>\n",
       "      <td>70</td>\n",
       "      <td>Coco Tangalla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>torrevieja</td>\n",
       "      <td>ES</td>\n",
       "      <td>37.9787</td>\n",
       "      <td>-0.6822</td>\n",
       "      <td>70</td>\n",
       "      <td>Hotel Fontana Plaza</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           City Country      Lat       Lng  Humidity           Hotel Name\n",
       "57    manokwari      ID  -0.8667  134.0833        70          Hotel Arfak\n",
       "186        ta`u      AS -14.2336 -169.5144        70       No hotel found\n",
       "194     machico      PT  32.7000  -16.7667        70        Residence Inn\n",
       "256    tangalle      LK   6.0240   80.7911        70        Coco Tangalla\n",
       "296  torrevieja      ES  37.9787   -0.6822        70  Hotel Fontana Plaza"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hotel_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5: Add the hotel name and the country as additional information in the hover message for each city in the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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contributors\"}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1204\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1195\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1196\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1197\"},\"data\":{\"type\":\"map\",\"entries\":[[\"Lng\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"d5fBlSB4bEH+wgoL//5xwRrNm4HcejzBCqeaA2snYUG6GoOBYorywEYU7PLuJ2NBmqxA6NcVT8EgsaYaNa8oQQ==\"},\"shape\":[8],\"dtype\":\"float64\",\"order\":\"little\"}],[\"Lat\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"SF5dhESO98AMbwiSBm44wXBfWqxfak1BxYErAKeAJEHcMopRKHVRQQwTjlOnbUZB0t9DElRHI8GRSjOmlqxUQQ==\"},\"shape\":[8],\"dtype\":\"float64\",\"order\":\"little\"}],[\"Humidity\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"RgAAAEYAAABGAAAARgAAAEYAAABGAAAARgAAAEYAAAA=\"},\"shape\":[8],\"dtype\":\"int32\",\"order\":\"little\"}],[\"Hotel_Name\",[\"Hotel 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      ],
      "text/plain": [
       ":Overlay\n",
       "   .WMTS.I   :WMTS   [Longitude,Latitude]\n",
       "   .Points.I :Points   [Lng,Lat]   (Humidity,Hotel Name,Country)"
      ]
     },
     "execution_count": 8,
     "metadata": {
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       "id": "p1115"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%capture --no-display\n",
    "\n",
    "# Configure the map plot\n",
    "hotel_map_plot= hotel_df.hvplot.points(\n",
    "    'Lng',\n",
    "    'Lat',\n",
    "    size='Humidity',\n",
    "    geo=True,\n",
    "    tiles='OSM',\n",
    "    frame_width=800,\n",
    "    frame_height=600,\n",
    "    hover_cols=['Hotel Name', 'Country']\n",
    ")\n",
    "\n",
    "# Display the map\n",
    "hotel_map_plot"
   ]
  },
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