add Jupyter notebook for generating talkmap

Author: staeiou

Diff for: _talks/talkmap.ipynb

@@ -1,21 +1,44 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Leaflet cluster map of talk locations\n",
+    "\n",
+    "Run this from the _talks/ directory, which contains .md files of all your talks. This scrapes the location YAML field from each .md file, geolocates it with geopy/Nominatim, and uses the getorg library to output data, HTML, and Javascript for a standalone cluster map."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 1,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already up-to-date: getorg in /home/vm/anaconda3/lib/python3.5/site-packages\n",
+      "Requirement already up-to-date: geopy in /home/vm/.local/lib/python3.5/site-packages (from getorg)\n",
+      "Requirement already up-to-date: retrying in /home/vm/.local/lib/python3.5/site-packages (from getorg)\n",
+      "Requirement already up-to-date: pygithub in /home/vm/anaconda3/lib/python3.5/site-packages (from getorg)\n",
+      "Requirement already up-to-date: six>=1.7.0 in /home/vm/.local/lib/python3.5/site-packages (from retrying->getorg)\n",
+      "IPywidgets and ipyleaflet support enabled.\n"
+     ]
+    }
+   ],
    "source": [
+    "!pip install getorg --upgrade\n",
     "import glob\n",
-    "!pip install getorg\n",
-    "import getorg"
+    "import getorg\n",
+    "from geopy import Nominatim"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
@@ -26,7 +49,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "geocoder = Nominatim()\n",
+    "location_dict = {}\n",
+    "location = \"\"\n",
+    "permalink = \"\"\n",
+    "title = \"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -35,63 +73,55 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "City, Country\n",
-      "City, Country\n",
-      "City, Country\n",
-      "City, Country\n"
+      "Berkeley CA, USA \n",
+      " Berkeley, Alameda County, California, United States of America\n",
+      "Los Angeles, CA \n",
+      " LA, Los Angeles County, California, United States of America\n",
+      "London, UK \n",
+      " London, Greater London, England, UK\n",
+      "San Francisco, California \n",
+      " SF, California, United States of America\n"
      ]
     }
    ],
    "source": [
+    "\n",
     "for file in g:\n",
     "    with open(file, 'r') as f:\n",
     "        lines = f.read()\n",
-    "        loc_start = lines.find('location: \"') + 11\n",
-    "        lines_trim = lines[loc_start:]\n",
-    "        loc_end = lines_trim.find('\"')\n",
-    "        print(lines_trim[:loc_end])\n",
-    "        \n"
+    "        if lines.find('location: \"') > 1:\n",
+    "            loc_start = lines.find('location: \"') + 11\n",
+    "            lines_trim = lines[loc_start:]\n",
+    "            loc_end = lines_trim.find('\"')\n",
+    "            location = lines_trim[:loc_end]\n",
+    "                            \n",
+    "           \n",
+    "        location_dict[location] = geocoder.geocode(location)\n",
+    "        print(location, \"\\n\", location_dict[location])\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "175"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "10"
+       "'Written map to ../talkmap/'"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "m = getorg.orgmap.create_map_obj()\n",
+    "getorg.orgmap.output_html_cluster_map(location_dict, folder_name=\"../talkmap\", hashed_usernames=False)"
+   ]
   },
   {
    "cell_type": "code",