5. All Edits - Port-Au-Prince.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run a cell, type `Shift` + `Return`. Run the cell below to get started"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:03:23.891721Z",
     "start_time": "2019-09-26T13:03:23.226856Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from workshop_utils import * \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "tqdm().pandas();\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# All Edits Example\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following query gets all of the edits (ever), joined to changesets for all objects in Haiti... it should take some time to download.\n",
    "\n",
    "```sql\n",
    "SELECT\n",
    "  central_america.id, \n",
    "  geom,\n",
    "  central_america.tags, changeset, updated, valid_until, version, minor_version,\n",
    "  changesets.id AS c_id, \n",
    "  changesets.tags as c_tags,\n",
    "  changesets.uid,\n",
    "  changesets.user\n",
    "  \n",
    "FROM central_america\n",
    "\n",
    "JOIN changesets on central_america.changeset = changesets.id\n",
    "\n",
    "WHERE ST_WITHIN(\n",
    "  geom , \n",
    "  ST_POLYGON('POLYGON((-72.7306 18.817, -72.0793 18.817, -72.0793 18.327, -72.7306 18.327, -72.7306 18.817))')\n",
    ")```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:10:14.180000Z",
     "start_time": "2019-09-26T13:03:23.892877Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading from S3... Query results saved to: \n",
      "6f306d4f-5156-4d19-b641-b37d37efbbeb.csv\n",
      "Creating dataframe... done.  Found 1,107,721 rows"
     ]
    }
   ],
   "source": [
    "edits = load_dataframe_from_s3('6f306d4f-5156-4d19-b641-b37d37efbbeb')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:10:14.197482Z",
     "start_time": "2019-09-26T13:10:14.182038Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>geom</th>\n",
       "      <th>tags</th>\n",
       "      <th>changeset</th>\n",
       "      <th>updated</th>\n",
       "      <th>valid_until</th>\n",
       "      <th>version</th>\n",
       "      <th>minor_version</th>\n",
       "      <th>c_id</th>\n",
       "      <th>c_tags</th>\n",
       "      <th>uid</th>\n",
       "      <th>user</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>446526344</td>\n",
       "      <td>POLYGON ((-72.6547439 18.4742102, -72.6546686 ...</td>\n",
       "      <td>{building=yes}</td>\n",
       "      <td>42735229</td>\n",
       "      <td>2016-10-08 14:39:02.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>42735229</td>\n",
       "      <td>{comment=#hotosm-project-2211 #hurricaneMatthe...</td>\n",
       "      <td>1815735</td>\n",
       "      <td>Giblet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>808366795</td>\n",
       "      <td>POINT (-72.4214256 18.5414186)</td>\n",
       "      <td>{operational_status_quality=confirmed, operati...</td>\n",
       "      <td>6347888</td>\n",
       "      <td>2010-11-12 01:03:43.000</td>\n",
       "      <td>2010-11-13 17:16:44.000</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>6347888</td>\n",
       "      <td>{comment=key misspellings, created_by=JOSM/1.5...</td>\n",
       "      <td>98876</td>\n",
       "      <td>rsoden</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          id                                               geom  \\\n",
       "0  446526344  POLYGON ((-72.6547439 18.4742102, -72.6546686 ...   \n",
       "1  808366795                     POINT (-72.4214256 18.5414186)   \n",
       "\n",
       "                                                tags  changeset  \\\n",
       "0                                     {building=yes}   42735229   \n",
       "1  {operational_status_quality=confirmed, operati...    6347888   \n",
       "\n",
       "                   updated              valid_until  version  minor_version  \\\n",
       "0  2016-10-08 14:39:02.000                      NaN        1              0   \n",
       "1  2010-11-12 01:03:43.000  2010-11-13 17:16:44.000        5              0   \n",
       "\n",
       "       c_id                                             c_tags      uid  \\\n",
       "0  42735229  {comment=#hotosm-project-2211 #hurricaneMatthe...  1815735   \n",
       "1   6347888  {comment=key misspellings, created_by=JOSM/1.5...    98876   \n",
       "\n",
       "     user  \n",
       "0  Giblet  \n",
       "1  rsoden  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edits.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:10:18.314496Z",
     "start_time": "2019-09-26T13:10:14.199224Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "version_major": 2,
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       "HBox(children=(IntProgress(value=0, max=1107721), HTML(value='')))"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "#Cast the date as date\n",
    "edits['updated'] = edits.updated.progress_apply(pd.Timestamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:10:23.024998Z",
     "start_time": "2019-09-26T13:10:18.316226Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "HBox(children=(IntProgress(value=0, max=1107721), HTML(value='')))"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "edits['date'] = edits.updated.progress_apply(pd.Timestamp.date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:10:23.666287Z",
     "start_time": "2019-09-26T13:10:23.026410Z"
    }
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c_id</th>\n",
       "      <th>id</th>\n",
       "      <th>uid</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-03-18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "            c_id  id  uid\n",
       "date                     \n",
       "2007-03-18     1   1    1\n",
       "2008-01-26     1   1    1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gb_date = edits.groupby('date').aggregate({\n",
    "    'c_id':'count',\n",
    "    'id':'nunique',\n",
    "    'uid':'nunique'\n",
    "});\n",
    "gb_date.head(2)"
   ]
  },
  {
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   "outputs": [
    {
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MCSAAAAAAAAAAAIA0QwIIAAAAAAAAAAAgzZAAAgAAAAAAAAAASDMkgAAAAAAAAAAAANIMCSAAAAAAAAAAAIA0QwIIAAAAAAAAAAAgzZAAAgAAAAAAAAAASDMkgAAAAAAAAAAAANIMCSAAAAAAAAAAAIA0QwIIAAAAAAAAAAAgzZAAAgAAAAAAAAAASDMkgAAAAAAAAAAAANIMCSAAAAAAAAAAAIA0QwIIAAAAAAAAAAAgzfx/n1gCyP7y6bsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 279,
       "width": 832
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "ax = gb_date['c_id'].plot(style='.', figsize=(14,4))\n",
    "ax.set_xlabel(\"Date\"); ax.set_ylabel(\"\");\n",
    "ax.set_title(\"Edits in Port Au Prince\",fontsize=16);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T13:10:24.081366Z",
     "start_time": "2019-09-26T13:10:23.864244Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 279,
       "width": 821
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "ax = gb_date['uid'].plot(style='.', figsize=(14,4))\n",
    "ax.set_xlabel(\"Date\"); ax.set_ylabel(\"\");\n",
    "ax.set_title(\"Unique editors active per day in Port Au Prince\",fontsize=16);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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