deploy: 26a9a52

README.html

@@ -68,7 +68,7 @@
     <link rel="next" title="Introduction to Data Goods" href="docs/1-intro-to-data-goods.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
-    <meta name="docbuild:last-update" content="Feb 27, 2024"/>
+    <meta name="docbuild:last-update" content="Feb 28, 2024"/>
   </head>
 
 
@@ -194,10 +194,12 @@
 <li class="toctree-l2"><a class="reference internal" href="notebooks/ports/red-sea-ports.html">Ports Notebook</a></li>
 </ul>
 </li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/conflict/acled.html">Conflict Location and Trends Monitor</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Insights and Indicators</span></p>
 <ul class="nav bd-sidenav">
 <li class="toctree-l1"><a class="reference internal" href="docs/4-sample-insights-and-ind.html">Insights, Indicators, and Data Sources: Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/indicators/conflict-and-trade.html">Shipping and Conflict</a></li>
 </ul>
 <p aria-level="2" class="caption" role="heading"><span class="caption-text">Acknowledgements</span></p>
 <ul class="nav bd-sidenav">
@@ -572,7 +574,7 @@ <h2>License<a class="headerlink" href="#license" title="Permalink to this headin
 
   <div class="footer-item">
     <p class="last-updated">
-  Last updated on Feb 27, 2024.
+  Last updated on Feb 28, 2024.
   <br/>
 </p>
   </div>

_sources/notebooks/chokepoints/red-sea-chokepoints.ipynb

@@ -49,7 +49,9 @@
     "\n",
     "plotnine.options.figure_size = (10, 8)\n",
     "\n",
-    "output_dir = r\"C:\\Users\\WB514197\\WBG\\Development Data Partnership - Red Sea Maritime Monitoring\"\n",
+    "output_dir = (\n",
+    "    r\"C:\\Users\\WB514197\\WBG\\Development Data Partnership - Red Sea Maritime Monitoring\"\n",
+    ")\n",
     "charts_dir = join(git_root, \"reports\")"
    ]
   },
@@ -256,8 +258,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "chokepoints_sel.loc[:, \"geometry\"] = chokepoints_sel.apply(lambda x: Point(x.lon, x.lat), axis=1)\n",
-    "chokepoints_sel = gpd.GeoDataFrame(chokepoints_sel, geometry='geometry', crs='EPSG:4326')\n",
+    "chokepoints_sel.loc[:, \"geometry\"] = chokepoints_sel.apply(\n",
+    "    lambda x: Point(x.lon, x.lat), axis=1\n",
+    ")\n",
+    "chokepoints_sel = gpd.GeoDataFrame(\n",
+    "    chokepoints_sel, geometry=\"geometry\", crs=\"EPSG:4326\"\n",
+    ")\n",
     "# chokepoints_sel.to_file(join(output_dir, \"chokepoints.shp\"), driver='ESRI Shapefile')"
    ]
   },
@@ -538,18 +544,27 @@
     }
    ],
    "source": [
-    "chokepoints_sel[[\n",
-    "    'geometry', 'portname', 'vessel_count_total', 'vessel_count_container',\n",
-    "    'vessel_count_dry_bulk', 'vessel_count_general_cargo',\n",
-    "    'vessel_count_RoRo', 'vessel_count_tanker', 'industry_top1',\n",
-    "    'industry_top2', 'industry_top3'\n",
-    "    ]].explore(\n",
-    "        column='portname',\n",
-    "        cmap = 'Dark2',\n",
-    "        marker_kwds= {'radius': 15},\n",
-    "        tiles = 'Esri Ocean Basemap',\n",
-    "        legend_kwds={'loc': 'upper right', 'caption': 'Choke Points'}\n",
-    "    )"
+    "chokepoints_sel[\n",
+    "    [\n",
+    "        \"geometry\",\n",
+    "        \"portname\",\n",
+    "        \"vessel_count_total\",\n",
+    "        \"vessel_count_container\",\n",
+    "        \"vessel_count_dry_bulk\",\n",
+    "        \"vessel_count_general_cargo\",\n",
+    "        \"vessel_count_RoRo\",\n",
+    "        \"vessel_count_tanker\",\n",
+    "        \"industry_top1\",\n",
+    "        \"industry_top2\",\n",
+    "        \"industry_top3\",\n",
+    "    ]\n",
+    "].explore(\n",
+    "    column=\"portname\",\n",
+    "    cmap=\"Dark2\",\n",
+    "    marker_kwds={\"radius\": 15},\n",
+    "    tiles=\"Esri Ocean Basemap\",\n",
+    "    legend_kwds={\"loc\": \"upper right\", \"caption\": \"Choke Points\"},\n",
+    ")"
    ]
   },
   {
@@ -594,7 +609,9 @@
    "outputs": [],
    "source": [
     "# df = pd.read_csv(join(output_dir, f'chokepoints_data_{time.strftime(\"%m_%d_%Y\")}.csv'))\n",
-    "df = pd.read_csv(join(output_dir, 'data', 'PortWatch-data', \"chokepoints_data_02_26_2024.csv\"))\n",
+    "df = pd.read_csv(\n",
+    "    join(output_dir, \"data\", \"PortWatch-data\", \"chokepoints_data_02_26_2024.csv\")\n",
+    ")\n",
     "df.date = pd.to_datetime(df.date)\n",
     "df = df.loc[df.date >= \"2019-01-01\"].copy()"
    ]
@@ -1595,9 +1612,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "with pd.ExcelWriter(join(output_dir, \"tables\", \"summary-tables-chokepoints.xlsx\")) as writer:  \n",
-    "    table.to_excel(writer, sheet_name='Chokepoints Summary')\n",
-    "    df_agg_pct.to_excel(writer, sheet_name='Chokepoints % Change')"
+    "with pd.ExcelWriter(\n",
+    "    join(output_dir, \"tables\", \"summary-tables-chokepoints.xlsx\")\n",
+    ") as writer:\n",
+    "    table.to_excel(writer, sheet_name=\"Chokepoints Summary\")\n",
+    "    df_agg_pct.to_excel(writer, sheet_name=\"Chokepoints % Change\")"
    ]
   }
  ],