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\"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"2011 Executions by State<br>(Click legend to toggle traces)\"}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('f31b0a48-aa81-402e-82ff-04904249b884');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('2011_executions.csv')\n",
    "df.head()\n",
    "\n",
    "df['text'] = df['name'] + '<br>Executed ' + (df['pop']).astype(str) + \" inmates\"\n",
    "limits = [(0,1),(2,8),(9,13)]\n",
    "limit_names = ['> 10', '2-10', '1']\n",
    "colors = [\"royalblue\",\"crimson\",\"lightseagreen\",\"orange\",\"lightgrey\"]\n",
    "cities = []\n",
    "scale = 0.01\n",
    "\n",
    "fig = go.Figure()\n",
    "\n",
    "for i in range(len(limits)):\n",
    "    lim = limits[i]\n",
    "    df_sub = df[lim[0]:lim[1]]\n",
    "    fig.add_trace(go.Scattergeo(\n",
    "        locationmode = 'USA-states',\n",
    "        lon = df_sub['lon'],\n",
    "        lat = df_sub['lat'],\n",
    "        text = df_sub['text'],\n",
    "        marker = dict(\n",
    "            size = df_sub['pop']/scale,\n",
    "            color = colors[i],\n",
    "            line_color='rgb(40,40,40)',\n",
    "            line_width=0.5,\n",
    "            sizemode = 'area'\n",
    "        ),\n",
    "        name = limit_names[i] ))\n",
    "\n",
    "fig.update_layout(\n",
    "        title_text = '2011 Executions by State<br>(Click legend to toggle traces)',\n",
    "        showlegend = True,\n",
    "        geo = dict(\n",
    "            scope = 'usa',\n",
    "            landcolor = 'rgb(217, 217, 217)',\n",
    "        )\n",
    "    )\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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