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ocefpaf/geopandas_tour.ipynb

Created November 5, 2017 12:00
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geopandas_tour.ipynb
{
"cells": [
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import os\nimport geopandas\nimport cartopy\ndata_dir = cartopy.config['data_dir']\n\n# I find copying the data to another folder easier than explaning all this to the students.\nfname = os.path.join(data_dir, 'shapefiles', 'natural_earth', 'cultural', '110m_admin_0_countries.shp')\ngdf = geopandas.read_file(fname)\n\ngdf",
"execution_count": 1,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 1,
"data": {
"text/plain": " scalerank featurecla labelrank sovereignt \\\n0 1 Admin-0 country 3.0 Afghanistan \n1 1 Admin-0 country 3.0 Angola \n2 1 Admin-0 country 6.0 Albania \n3 1 Admin-0 country 4.0 United Arab Emirates \n4 1 Admin-0 country 2.0 Argentina \n5 1 Admin-0 country 6.0 Armenia \n6 1 Admin-0 country 4.0 Antarctica \n7 3 Admin-0 country 6.0 France \n8 1 Admin-0 country 2.0 Australia \n9 1 Admin-0 country 4.0 Austria \n10 1 Admin-0 country 5.0 Azerbaijan \n11 1 Admin-0 country 6.0 Burundi \n12 1 Admin-0 country 2.0 Belgium \n13 1 Admin-0 country 5.0 Benin \n14 1 Admin-0 country 3.0 Burkina Faso \n15 1 Admin-0 country 3.0 Bangladesh \n16 1 Admin-0 country 4.0 Bulgaria \n17 1 Admin-0 country 4.0 The Bahamas \n18 1 Admin-0 country 5.0 Bosnia and Herzegovina \n19 1 Admin-0 country 4.0 Belarus \n20 1 Admin-0 country 6.0 Belize \n21 1 Admin-0 country 3.0 Bolivia \n22 1 Admin-0 country 2.0 Brazil \n23 1 Admin-0 country 6.0 Brunei \n24 1 Admin-0 country 5.0 Bhutan \n25 1 Admin-0 country 4.0 Botswana \n26 1 Admin-0 country 4.0 Central African Republic \n27 1 Admin-0 country 2.0 Canada \n28 1 Admin-0 country 4.0 Switzerland \n29 1 Admin-0 country 2.0 Chile \n.. ... ... ... ... \n147 1 Admin-0 country 5.0 Republic of Serbia \n148 1 Admin-0 country 4.0 Suriname \n149 1 Admin-0 country 6.0 Slovakia \n150 1 Admin-0 country 6.0 Slovenia \n151 1 Admin-0 country 3.0 Sweden \n152 1 Admin-0 country 4.0 Swaziland \n153 1 Admin-0 country 3.0 Syria \n154 1 Admin-0 country 3.0 Chad \n155 1 Admin-0 country 6.0 Togo \n156 1 Admin-0 country 3.0 Thailand \n157 1 Admin-0 country 4.0 Tajikistan \n158 1 Admin-0 country 4.0 Turkmenistan \n159 1 Admin-0 country 5.0 East Timor \n160 1 Admin-0 country 5.0 Trinidad and Tobago \n161 1 Admin-0 country 3.0 Tunisia \n162 1 Admin-0 country 2.0 Turkey \n163 1 Admin-0 country 3.0 Taiwan \n164 1 Admin-0 country 3.0 United Republic of Tanzania \n165 1 Admin-0 country 3.0 Uganda \n166 1 Admin-0 country 3.0 Ukraine \n167 1 Admin-0 country 4.0 Uruguay \n168 1 Admin-0 country 2.0 United States of America \n169 1 Admin-0 country 3.0 Uzbekistan \n170 1 Admin-0 country 3.0 Venezuela \n171 1 Admin-0 country 2.0 Vietnam \n172 1 Admin-0 country 4.0 Vanuatu \n173 1 Admin-0 country 3.0 Yemen \n174 1 Admin-0 country 2.0 South Africa \n175 1 Admin-0 country 3.0 Zambia \n176 1 Admin-0 country 3.0 Zimbabwe \n\n sov_a3 adm0_dif level type \\\n0 AFG 0.0 2.0 Sovereign country \n1 AGO 0.0 2.0 Sovereign country \n2 ALB 0.0 2.0 Sovereign country \n3 ARE 0.0 2.0 Sovereign country \n4 ARG 0.0 2.0 Sovereign country \n5 ARM 0.0 2.0 Sovereign country \n6 ATA 0.0 2.0 Indeterminate \n7 FR1 1.0 2.0 Dependency \n8 AU1 1.0 2.0 Country \n9 AUT 0.0 2.0 Sovereign country \n10 AZE 0.0 2.0 Sovereign country \n11 BDI 0.0 2.0 Sovereign country \n12 BEL 0.0 2.0 Sovereign country \n13 BEN 0.0 2.0 Sovereign country \n14 BFA 0.0 2.0 Sovereign country \n15 BGD 0.0 2.0 Sovereign country \n16 BGR 0.0 2.0 Sovereign country \n17 BHS 0.0 2.0 Sovereign country \n18 BIH 0.0 2.0 Sovereign country \n19 BLR 0.0 2.0 Sovereign country \n20 BLZ 0.0 2.0 Sovereign country \n21 BOL 0.0 2.0 Sovereign country \n22 BRA 0.0 2.0 Sovereign country \n23 BRN 0.0 2.0 Sovereign country \n24 BTN 0.0 2.0 Sovereign country \n25 BWA 0.0 2.0 Sovereign country \n26 CAF 0.0 2.0 Sovereign country \n27 CAN 0.0 2.0 Sovereign country \n28 CHE 0.0 2.0 Sovereign country \n29 CHL 0.0 2.0 Sovereign country \n.. ... ... ... ... \n147 SRB 0.0 2.0 Sovereign country \n148 SUR 0.0 2.0 Sovereign country \n149 SVK 0.0 2.0 Sovereign country \n150 SVN 0.0 2.0 Sovereign country \n151 SWE 0.0 2.0 Sovereign country \n152 SWZ 0.0 2.0 Sovereign country \n153 SYR 0.0 2.0 Sovereign country \n154 TCD 0.0 2.0 Sovereign country \n155 TGO 0.0 2.0 Sovereign country \n156 THA 0.0 2.0 Sovereign country \n157 TJK 0.0 2.0 Sovereign country \n158 TKM 0.0 2.0 Sovereign country \n159 TLS 0.0 2.0 Sovereign country \n160 TTO 0.0 2.0 Sovereign country \n161 TUN 0.0 2.0 Sovereign country \n162 TUR 0.0 2.0 Sovereign country \n163 TWN 0.0 2.0 Sovereign country \n164 TZA 0.0 2.0 Sovereign country \n165 UGA 0.0 2.0 Sovereign country \n166 UKR 0.0 2.0 Sovereign country \n167 URY 0.0 2.0 Sovereign country \n168 US1 1.0 2.0 Country \n169 UZB 0.0 2.0 Sovereign country \n170 VEN 0.0 2.0 Sovereign country \n171 VNM 0.0 2.0 Sovereign country \n172 VUT 0.0 2.0 Sovereign country \n173 YEM 0.0 2.0 Sovereign country \n174 ZAF 0.0 2.0 Sovereign country \n175 ZMB 0.0 2.0 Sovereign country \n176 ZWE 0.0 2.0 Sovereign country \n\n admin adm0_a3 \\\n0 Afghanistan AFG \n1 Angola AGO \n2 Albania ALB \n3 United Arab Emirates ARE \n4 Argentina ARG \n5 Armenia ARM \n6 Antarctica ATA \n7 French Southern and Antarctic Lands ATF \n8 Australia AUS \n9 Austria AUT \n10 Azerbaijan AZE \n11 Burundi BDI \n12 Belgium BEL \n13 Benin BEN \n14 Burkina Faso BFA \n15 Bangladesh BGD \n16 Bulgaria BGR \n17 The Bahamas BHS \n18 Bosnia and Herzegovina BIH \n19 Belarus BLR \n20 Belize BLZ \n21 Bolivia BOL \n22 Brazil BRA \n23 Brunei BRN \n24 Bhutan BTN \n25 Botswana BWA \n26 Central African Republic CAF \n27 Canada CAN \n28 Switzerland CHE \n29 Chile CHL \n.. ... ... \n147 Republic of Serbia SRB \n148 Suriname SUR \n149 Slovakia SVK \n150 Slovenia SVN \n151 Sweden SWE \n152 Swaziland SWZ \n153 Syria SYR \n154 Chad TCD \n155 Togo TGO \n156 Thailand THA \n157 Tajikistan TJK \n158 Turkmenistan TKM \n159 East Timor TLS \n160 Trinidad and Tobago TTO \n161 Tunisia TUN \n162 Turkey TUR \n163 Taiwan TWN \n164 United Republic of Tanzania TZA \n165 Uganda UGA \n166 Ukraine UKR \n167 Uruguay URY \n168 United States of America USA \n169 Uzbekistan UZB \n170 Venezuela VEN \n171 Vietnam VNM \n172 Vanuatu VUT \n173 Yemen YEM \n174 South Africa ZAF \n175 Zambia ZMB \n176 Zimbabwe ZWE \n\n ... \\\n0 ... \n1 ... \n2 ... \n3 ... \n4 ... \n5 ... \n6 ... \n7 ... \n8 ... \n9 ... \n10 ... \n11 ... \n12 ... \n13 ... \n14 ... \n15 ... \n16 ... \n17 ... \n18 ... \n19 ... \n20 ... \n21 ... \n22 ... \n23 ... \n24 ... \n25 ... \n26 ... \n27 ... \n28 ... \n29 ... \n.. ... \n147 ... \n148 ... \n149 ... \n150 ... \n151 ... \n152 ... \n153 ... \n154 ... \n155 ... \n156 ... \n157 ... \n158 ... \n159 ... \n160 ... \n161 ... \n162 ... \n163 ... \n164 ... \n165 ... \n166 ... \n167 ... \n168 ... \n169 ... \n170 ... \n171 ... \n172 ... \n173 ... \n174 ... \n175 ... \n176 ... \n\n continent region_un \\\n0 Asia Asia \n1 Africa Africa \n2 Europe Europe \n3 Asia Asia \n4 South America Americas \n5 Asia Asia \n6 Antarctica Antarctica \n7 Seven seas (open ocean) Seven seas (open ocean) \n8 Oceania Oceania \n9 Europe Europe \n10 Asia Asia \n11 Africa Africa \n12 Europe Europe \n13 Africa Africa \n14 Africa Africa \n15 Asia Asia \n16 Europe Europe \n17 North America Americas \n18 Europe Europe \n19 Europe Europe \n20 North America Americas \n21 South America Americas \n22 South America Americas \n23 Asia Asia \n24 Asia Asia \n25 Africa Africa \n26 Africa Africa \n27 North America Americas \n28 Europe Europe \n29 South America Americas \n.. ... ... \n147 Europe Europe \n148 South America Americas \n149 Europe Europe \n150 Europe Europe \n151 Europe Europe \n152 Africa Africa \n153 Asia Asia \n154 Africa Africa \n155 Africa Africa \n156 Asia Asia \n157 Asia Asia \n158 Asia Asia \n159 Asia Asia \n160 North America Americas \n161 Africa Africa \n162 Asia Asia \n163 Asia Asia \n164 Africa Africa \n165 Africa Africa \n166 Europe Europe \n167 South America Americas \n168 North America Americas \n169 Asia Asia \n170 South America Americas \n171 Asia Asia \n172 Oceania Oceania \n173 Asia Asia \n174 Africa Africa \n175 Africa Africa \n176 Africa Africa \n\n subregion region_wb name_len long_len \\\n0 Southern Asia South Asia 11.0 11.0 \n1 Middle Africa Sub-Saharan Africa 6.0 6.0 \n2 Southern Europe Europe & Central Asia 7.0 7.0 \n3 Western Asia Middle East & North Africa 20.0 20.0 \n4 South America Latin America & Caribbean 9.0 9.0 \n5 Western Asia Europe & Central Asia 7.0 7.0 \n6 Antarctica Antarctica 10.0 10.0 \n7 Seven seas (open ocean) Sub-Saharan Africa 22.0 35.0 \n8 Australia and New Zealand East Asia & Pacific 9.0 9.0 \n9 Western Europe Europe & Central Asia 7.0 7.0 \n10 Western Asia Europe & Central Asia 10.0 10.0 \n11 Eastern Africa Sub-Saharan Africa 7.0 7.0 \n12 Western Europe Europe & Central Asia 7.0 7.0 \n13 Western Africa Sub-Saharan Africa 5.0 5.0 \n14 Western Africa Sub-Saharan Africa 12.0 12.0 \n15 Southern Asia South Asia 10.0 10.0 \n16 Eastern Europe Europe & Central Asia 8.0 8.0 \n17 Caribbean Latin America & Caribbean 7.0 7.0 \n18 Southern Europe Europe & Central Asia 16.0 22.0 \n19 Eastern Europe Europe & Central Asia 7.0 7.0 \n20 Central America Latin America & Caribbean 6.0 6.0 \n21 South America Latin America & Caribbean 7.0 7.0 \n22 South America Latin America & Caribbean 6.0 6.0 \n23 South-Eastern Asia East Asia & Pacific 6.0 17.0 \n24 Southern Asia South Asia 6.0 6.0 \n25 Southern Africa Sub-Saharan Africa 8.0 8.0 \n26 Middle Africa Sub-Saharan Africa 20.0 24.0 \n27 Northern America North America 6.0 6.0 \n28 Western Europe Europe & Central Asia 11.0 11.0 \n29 South America Latin America & Caribbean 5.0 5.0 \n.. ... ... ... ... \n147 Southern Europe Europe & Central Asia 6.0 6.0 \n148 South America Latin America & Caribbean 8.0 8.0 \n149 Eastern Europe Europe & Central Asia 8.0 8.0 \n150 Southern Europe Europe & Central Asia 8.0 8.0 \n151 Northern Europe Europe & Central Asia 6.0 6.0 \n152 Southern Africa Sub-Saharan Africa 9.0 9.0 \n153 Western Asia Middle East & North Africa 5.0 5.0 \n154 Middle Africa Sub-Saharan Africa 4.0 4.0 \n155 Western Africa Sub-Saharan Africa 4.0 4.0 \n156 South-Eastern Asia East Asia & Pacific 8.0 8.0 \n157 Central Asia Europe & Central Asia 10.0 10.0 \n158 Central Asia Europe & Central Asia 12.0 12.0 \n159 South-Eastern Asia East Asia & Pacific 11.0 11.0 \n160 Caribbean Latin America & Caribbean 19.0 19.0 \n161 Northern Africa Middle East & North Africa 7.0 7.0 \n162 Western Asia Europe & Central Asia 6.0 6.0 \n163 Eastern Asia East Asia & Pacific 6.0 6.0 \n164 Eastern Africa Sub-Saharan Africa 8.0 8.0 \n165 Eastern Africa Sub-Saharan Africa 6.0 6.0 \n166 Eastern Europe Europe & Central Asia 7.0 7.0 \n167 South America Latin America & Caribbean 7.0 7.0 \n168 Northern America North America 13.0 13.0 \n169 Central Asia Europe & Central Asia 10.0 10.0 \n170 South America Latin America & Caribbean 9.0 9.0 \n171 South-Eastern Asia East Asia & Pacific 7.0 7.0 \n172 Melanesia East Asia & Pacific 7.0 7.0 \n173 Western Asia Middle East & North Africa 5.0 5.0 \n174 Southern Africa Sub-Saharan Africa 12.0 12.0 \n175 Eastern Africa Sub-Saharan Africa 6.0 6.0 \n176 Eastern Africa Sub-Saharan Africa 8.0 8.0 \n\n abbrev_len tiny homepart \\\n0 4.0 -99.0 1.0 \n1 4.0 -99.0 1.0 \n2 4.0 -99.0 1.0 \n3 6.0 -99.0 1.0 \n4 4.0 -99.0 1.0 \n5 4.0 -99.0 1.0 \n6 4.0 -99.0 1.0 \n7 10.0 2.0 -99.0 \n8 4.0 -99.0 1.0 \n9 5.0 -99.0 1.0 \n10 4.0 -99.0 1.0 \n11 4.0 -99.0 1.0 \n12 5.0 -99.0 1.0 \n13 5.0 -99.0 1.0 \n14 4.0 -99.0 1.0 \n15 5.0 -99.0 1.0 \n16 5.0 -99.0 1.0 \n17 4.0 -99.0 1.0 \n18 4.0 -99.0 1.0 \n19 5.0 -99.0 1.0 \n20 6.0 -99.0 1.0 \n21 7.0 -99.0 1.0 \n22 6.0 -99.0 1.0 \n23 6.0 2.0 1.0 \n24 6.0 -99.0 1.0 \n25 4.0 -99.0 1.0 \n26 6.0 -99.0 1.0 \n27 4.0 -99.0 1.0 \n28 6.0 -99.0 1.0 \n29 5.0 -99.0 1.0 \n.. ... ... ... \n147 5.0 -99.0 1.0 \n148 4.0 -99.0 1.0 \n149 4.0 -99.0 1.0 \n150 4.0 -99.0 1.0 \n151 4.0 -99.0 1.0 \n152 4.0 -99.0 1.0 \n153 5.0 -99.0 1.0 \n154 4.0 -99.0 1.0 \n155 4.0 -99.0 1.0 \n156 5.0 -99.0 1.0 \n157 4.0 -99.0 1.0 \n158 6.0 -99.0 1.0 \n159 4.0 -99.0 1.0 \n160 5.0 2.0 1.0 \n161 4.0 -99.0 1.0 \n162 4.0 -99.0 1.0 \n163 6.0 -99.0 1.0 \n164 5.0 -99.0 1.0 \n165 4.0 -99.0 1.0 \n166 4.0 -99.0 1.0 \n167 4.0 -99.0 1.0 \n168 6.0 -99.0 1.0 \n169 4.0 5.0 1.0 \n170 4.0 -99.0 1.0 \n171 5.0 2.0 1.0 \n172 4.0 2.0 1.0 \n173 4.0 -99.0 1.0 \n174 5.0 -99.0 1.0 \n175 6.0 -99.0 1.0 \n176 5.0 -99.0 1.0 \n\n geometry \n0 POLYGON ((61.21081709172574 35.65007233330923,... \n1 (POLYGON ((16.32652835456705 -5.87747039146621... \n2 POLYGON ((20.59024743010491 41.85540416113361,... \n3 POLYGON ((51.57951867046327 24.24549713795111,... \n4 (POLYGON ((-65.50000000000003 -55.199999999999... \n5 POLYGON ((43.58274580259273 41.09214325618257,... \n6 (POLYGON ((-59.57209469261153 -80.040178725096... \n7 POLYGON ((68.935 -48.62500000000001, 69.58 -48... \n8 (POLYGON ((145.3979781434948 -40.7925485166058... \n9 POLYGON ((16.97966678230404 48.12349701597631,... \n10 (POLYGON ((45.0019873390568 39.7400035670496, ... \n11 POLYGON ((29.33999759290035 -4.499983412294092... \n12 POLYGON ((3.314971144228537 51.34578095153609,... \n13 POLYGON ((2.691701694356254 6.258817246928629,... \n14 POLYGON ((-2.827496303712707 9.642460842319778... \n15 POLYGON ((92.67272098182556 22.04123891854125,... \n16 POLYGON ((22.65714969248299 44.23492300066128,... \n17 (POLYGON ((-77.53465999999997 23.7597499999999... \n18 POLYGON ((19.00548628101012 44.86023366960916,... \n19 POLYGON ((23.48412763844985 53.91249766704114,... \n20 POLYGON ((-89.14308041050332 17.80831899664932... \n21 POLYGON ((-62.84646847192156 -22.0349854468694... \n22 POLYGON ((-57.62513342958296 -30.2162948544542... \n23 POLYGON ((114.2040165548284 4.525873928236805,... \n24 POLYGON ((91.69665652869668 27.77174184825166,... \n25 POLYGON ((25.64916344575016 -18.53602589281899... \n26 POLYGON ((15.27946048346911 7.421924546737969,... \n27 (POLYGON ((-63.66449999999998 46.5500099999999... \n28 POLYGON ((9.59422610844635 47.52505809182027, ... \n29 (POLYGON ((-68.63401022758316 -52.636370458874... \n.. ... \n147 POLYGON ((20.87431277841341 45.41637543393432,... \n148 POLYGON ((-57.14743648947689 5.973149929219161... \n149 POLYGON ((18.85314415861362 49.49622976337764,... \n150 POLYGON ((13.80647545742153 46.50930613869122,... \n151 POLYGON ((22.18317345550193 65.72374054632017,... \n152 POLYGON ((32.07166548028107 -26.73382008230491... \n153 POLYGON ((38.79234052913608 33.37868642835222,... \n154 POLYGON ((14.4957873877629 12.85939626713736, ... \n155 POLYGON ((1.865240512712319 6.142157701029731,... \n156 POLYGON ((102.5849324890267 12.18659495691328,... \n157 POLYGON ((71.01419803252017 40.24436554621823,... \n158 POLYGON ((61.21081709172574 35.65007233330923,... \n159 POLYGON ((124.9686824891162 -8.892790215697083... \n160 POLYGON ((-61.68000000000001 10.76, -61.105 10... \n161 POLYGON ((9.482139926805274 30.30755605724619,... \n162 (POLYGON ((36.91312706884216 41.33535838476431... \n163 POLYGON ((121.7778178243899 24.3942735865194, ... \n164 POLYGON ((33.9037111971046 -0.9499999999999886... \n165 POLYGON ((31.86617000000007 -1.027359999999931... \n166 POLYGON ((31.78599816257159 52.10167796488545,... \n167 POLYGON ((-57.62513342958296 -30.2162948544542... \n168 (POLYGON ((-155.54211 19.08348000000001, -155.... \n169 POLYGON ((66.51860680528867 37.36278432875879,... \n170 POLYGON ((-71.3315836249503 11.77628408451581,... \n171 POLYGON ((108.0501802917829 21.55237986906012,... \n172 (POLYGON ((167.8448767438451 -16.4663331030971... \n173 POLYGON ((53.10857262554751 16.65105113368895,... \n174 POLYGON ((31.52100141777888 -29.25738697684626... \n175 POLYGON ((32.75937544122132 -9.23059905358906,... \n176 POLYGON ((31.19140913262129 -22.2515096981724,... \n\n[177 rows x 64 columns]",
"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>scalerank</th>\n <th>featurecla</th>\n <th>labelrank</th>\n <th>sovereignt</th>\n <th>sov_a3</th>\n <th>adm0_dif</th>\n <th>level</th>\n <th>type</th>\n <th>admin</th>\n <th>adm0_a3</th>\n <th>...</th>\n <th>continent</th>\n <th>region_un</th>\n <th>subregion</th>\n <th>region_wb</th>\n <th>name_len</th>\n <th>long_len</th>\n <th>abbrev_len</th>\n <th>tiny</th>\n <th>homepart</th>\n <th>geometry</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Afghanistan</td>\n <td>AFG</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Afghanistan</td>\n <td>AFG</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Southern Asia</td>\n <td>South Asia</td>\n <td>11.0</td>\n <td>11.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>\n </tr>\n <tr>\n <th>1</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Angola</td>\n <td>AGO</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Angola</td>\n <td>AGO</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Middle Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((16.32652835456705 -5.87747039146621...</td>\n </tr>\n <tr>\n <th>2</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Albania</td>\n <td>ALB</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Albania</td>\n <td>ALB</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Southern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((20.59024743010491 41.85540416113361,...</td>\n </tr>\n <tr>\n <th>3</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>United Arab Emirates</td>\n <td>ARE</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>United Arab Emirates</td>\n <td>ARE</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Western Asia</td>\n <td>Middle East &amp; North Africa</td>\n <td>20.0</td>\n <td>20.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((51.57951867046327 24.24549713795111,...</td>\n </tr>\n <tr>\n <th>4</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Argentina</td>\n <td>ARG</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Argentina</td>\n <td>ARG</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>9.0</td>\n <td>9.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((-65.50000000000003 -55.199999999999...</td>\n </tr>\n <tr>\n <th>5</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Armenia</td>\n <td>ARM</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Armenia</td>\n <td>ARM</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Western Asia</td>\n <td>Europe &amp; Central Asia</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((43.58274580259273 41.09214325618257,...</td>\n </tr>\n <tr>\n <th>6</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Antarctica</td>\n <td>ATA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Indeterminate</td>\n <td>Antarctica</td>\n <td>ATA</td>\n <td>...</td>\n <td>Antarctica</td>\n <td>Antarctica</td>\n <td>Antarctica</td>\n <td>Antarctica</td>\n <td>10.0</td>\n <td>10.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((-59.57209469261153 -80.040178725096...</td>\n </tr>\n <tr>\n <th>7</th>\n <td>3</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>France</td>\n <td>FR1</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>Dependency</td>\n <td>French Southern and Antarctic Lands</td>\n <td>ATF</td>\n <td>...</td>\n <td>Seven seas (open ocean)</td>\n <td>Seven seas (open ocean)</td>\n <td>Seven seas (open ocean)</td>\n <td>Sub-Saharan Africa</td>\n <td>22.0</td>\n <td>35.0</td>\n <td>10.0</td>\n <td>2.0</td>\n <td>-99.0</td>\n <td>POLYGON ((68.935 -48.62500000000001, 69.58 -48...</td>\n </tr>\n <tr>\n <th>8</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Australia</td>\n <td>AU1</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>Country</td>\n <td>Australia</td>\n <td>AUS</td>\n <td>...</td>\n <td>Oceania</td>\n <td>Oceania</td>\n <td>Australia and New Zealand</td>\n <td>East Asia &amp; Pacific</td>\n <td>9.0</td>\n <td>9.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((145.3979781434948 -40.7925485166058...</td>\n </tr>\n <tr>\n <th>9</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Austria</td>\n <td>AUT</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Austria</td>\n <td>AUT</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Western Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((16.97966678230404 48.12349701597631,...</td>\n </tr>\n <tr>\n <th>10</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>Azerbaijan</td>\n <td>AZE</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Azerbaijan</td>\n <td>AZE</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Western Asia</td>\n <td>Europe &amp; Central Asia</td>\n <td>10.0</td>\n <td>10.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((45.0019873390568 39.7400035670496, ...</td>\n </tr>\n <tr>\n <th>11</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Burundi</td>\n <td>BDI</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Burundi</td>\n <td>BDI</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Eastern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((29.33999759290035 -4.499983412294092...</td>\n </tr>\n <tr>\n <th>12</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Belgium</td>\n <td>BEL</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Belgium</td>\n <td>BEL</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Western Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((3.314971144228537 51.34578095153609,...</td>\n </tr>\n <tr>\n <th>13</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>Benin</td>\n <td>BEN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Benin</td>\n <td>BEN</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Western Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((2.691701694356254 6.258817246928629,...</td>\n </tr>\n <tr>\n <th>14</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Burkina Faso</td>\n <td>BFA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Burkina Faso</td>\n <td>BFA</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Western Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>12.0</td>\n <td>12.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-2.827496303712707 9.642460842319778...</td>\n </tr>\n <tr>\n <th>15</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Bangladesh</td>\n <td>BGD</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Bangladesh</td>\n <td>BGD</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Southern Asia</td>\n <td>South Asia</td>\n <td>10.0</td>\n <td>10.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((92.67272098182556 22.04123891854125,...</td>\n </tr>\n <tr>\n <th>16</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Bulgaria</td>\n <td>BGR</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Bulgaria</td>\n <td>BGR</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Eastern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((22.65714969248299 44.23492300066128,...</td>\n </tr>\n <tr>\n <th>17</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>The Bahamas</td>\n <td>BHS</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>The Bahamas</td>\n <td>BHS</td>\n <td>...</td>\n <td>North America</td>\n <td>Americas</td>\n <td>Caribbean</td>\n <td>Latin America &amp; Caribbean</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((-77.53465999999997 23.7597499999999...</td>\n </tr>\n <tr>\n <th>18</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>Bosnia and Herzegovina</td>\n <td>BIH</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Bosnia and Herzegovina</td>\n <td>BIH</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Southern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>16.0</td>\n <td>22.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((19.00548628101012 44.86023366960916,...</td>\n </tr>\n <tr>\n <th>19</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Belarus</td>\n <td>BLR</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Belarus</td>\n <td>BLR</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Eastern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((23.48412763844985 53.91249766704114,...</td>\n </tr>\n <tr>\n <th>20</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Belize</td>\n <td>BLZ</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Belize</td>\n <td>BLZ</td>\n <td>...</td>\n <td>North America</td>\n <td>Americas</td>\n <td>Central America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-89.14308041050332 17.80831899664932...</td>\n </tr>\n <tr>\n <th>21</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Bolivia</td>\n <td>BOL</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Bolivia</td>\n <td>BOL</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-62.84646847192156 -22.0349854468694...</td>\n </tr>\n <tr>\n <th>22</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Brazil</td>\n <td>BRA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Brazil</td>\n <td>BRA</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-57.62513342958296 -30.2162948544542...</td>\n </tr>\n <tr>\n <th>23</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Brunei</td>\n <td>BRN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Brunei</td>\n <td>BRN</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>South-Eastern Asia</td>\n <td>East Asia &amp; Pacific</td>\n <td>6.0</td>\n <td>17.0</td>\n <td>6.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>POLYGON ((114.2040165548284 4.525873928236805,...</td>\n </tr>\n <tr>\n <th>24</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>Bhutan</td>\n <td>BTN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Bhutan</td>\n <td>BTN</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Southern Asia</td>\n <td>South Asia</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((91.69665652869668 27.77174184825166,...</td>\n </tr>\n <tr>\n <th>25</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Botswana</td>\n <td>BWA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Botswana</td>\n <td>BWA</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Southern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((25.64916344575016 -18.53602589281899...</td>\n </tr>\n <tr>\n <th>26</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Central African Republic</td>\n <td>CAF</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Central African Republic</td>\n <td>CAF</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Middle Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>20.0</td>\n <td>24.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((15.27946048346911 7.421924546737969,...</td>\n </tr>\n <tr>\n <th>27</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Canada</td>\n <td>CAN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Canada</td>\n <td>CAN</td>\n <td>...</td>\n <td>North America</td>\n <td>Americas</td>\n <td>Northern America</td>\n <td>North America</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((-63.66449999999998 46.5500099999999...</td>\n </tr>\n <tr>\n <th>28</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Switzerland</td>\n <td>CHE</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Switzerland</td>\n <td>CHE</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Western Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>11.0</td>\n <td>11.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((9.59422610844635 47.52505809182027, ...</td>\n </tr>\n <tr>\n <th>29</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Chile</td>\n <td>CHL</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Chile</td>\n <td>CHL</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((-68.63401022758316 -52.636370458874...</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>147</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>Republic of Serbia</td>\n <td>SRB</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Republic of Serbia</td>\n <td>SRB</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Southern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((20.87431277841341 45.41637543393432,...</td>\n </tr>\n <tr>\n <th>148</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Suriname</td>\n <td>SUR</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Suriname</td>\n <td>SUR</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-57.14743648947689 5.973149929219161...</td>\n </tr>\n <tr>\n <th>149</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Slovakia</td>\n <td>SVK</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Slovakia</td>\n <td>SVK</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Eastern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((18.85314415861362 49.49622976337764,...</td>\n </tr>\n <tr>\n <th>150</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Slovenia</td>\n <td>SVN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Slovenia</td>\n <td>SVN</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Southern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((13.80647545742153 46.50930613869122,...</td>\n </tr>\n <tr>\n <th>151</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Sweden</td>\n <td>SWE</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Sweden</td>\n <td>SWE</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Northern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((22.18317345550193 65.72374054632017,...</td>\n </tr>\n <tr>\n <th>152</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Swaziland</td>\n <td>SWZ</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Swaziland</td>\n <td>SWZ</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Southern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>9.0</td>\n <td>9.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((32.07166548028107 -26.73382008230491...</td>\n </tr>\n <tr>\n <th>153</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Syria</td>\n <td>SYR</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Syria</td>\n <td>SYR</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Western Asia</td>\n <td>Middle East &amp; North Africa</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((38.79234052913608 33.37868642835222,...</td>\n </tr>\n <tr>\n <th>154</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Chad</td>\n <td>TCD</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Chad</td>\n <td>TCD</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Middle Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>4.0</td>\n <td>4.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((14.4957873877629 12.85939626713736, ...</td>\n </tr>\n <tr>\n <th>155</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>6.0</td>\n <td>Togo</td>\n <td>TGO</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Togo</td>\n <td>TGO</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Western Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>4.0</td>\n <td>4.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((1.865240512712319 6.142157701029731,...</td>\n </tr>\n <tr>\n <th>156</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Thailand</td>\n <td>THA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Thailand</td>\n <td>THA</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>South-Eastern Asia</td>\n <td>East Asia &amp; Pacific</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((102.5849324890267 12.18659495691328,...</td>\n </tr>\n <tr>\n <th>157</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Tajikistan</td>\n <td>TJK</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Tajikistan</td>\n <td>TJK</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Central Asia</td>\n <td>Europe &amp; Central Asia</td>\n <td>10.0</td>\n <td>10.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((71.01419803252017 40.24436554621823,...</td>\n </tr>\n <tr>\n <th>158</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Turkmenistan</td>\n <td>TKM</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Turkmenistan</td>\n <td>TKM</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Central Asia</td>\n <td>Europe &amp; Central Asia</td>\n <td>12.0</td>\n <td>12.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((61.21081709172574 35.65007233330923,...</td>\n </tr>\n <tr>\n <th>159</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>East Timor</td>\n <td>TLS</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>East Timor</td>\n <td>TLS</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>South-Eastern Asia</td>\n <td>East Asia &amp; Pacific</td>\n <td>11.0</td>\n <td>11.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((124.9686824891162 -8.892790215697083...</td>\n </tr>\n <tr>\n <th>160</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>5.0</td>\n <td>Trinidad and Tobago</td>\n <td>TTO</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Trinidad and Tobago</td>\n <td>TTO</td>\n <td>...</td>\n <td>North America</td>\n <td>Americas</td>\n <td>Caribbean</td>\n <td>Latin America &amp; Caribbean</td>\n <td>19.0</td>\n <td>19.0</td>\n <td>5.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>POLYGON ((-61.68000000000001 10.76, -61.105 10...</td>\n </tr>\n <tr>\n <th>161</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Tunisia</td>\n <td>TUN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Tunisia</td>\n <td>TUN</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Northern Africa</td>\n <td>Middle East &amp; North Africa</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((9.482139926805274 30.30755605724619,...</td>\n </tr>\n <tr>\n <th>162</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Turkey</td>\n <td>TUR</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Turkey</td>\n <td>TUR</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Western Asia</td>\n <td>Europe &amp; Central Asia</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((36.91312706884216 41.33535838476431...</td>\n </tr>\n <tr>\n <th>163</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Taiwan</td>\n <td>TWN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Taiwan</td>\n <td>TWN</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Eastern Asia</td>\n <td>East Asia &amp; Pacific</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((121.7778178243899 24.3942735865194, ...</td>\n </tr>\n <tr>\n <th>164</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>United Republic of Tanzania</td>\n <td>TZA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>United Republic of Tanzania</td>\n <td>TZA</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Eastern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((33.9037111971046 -0.9499999999999886...</td>\n </tr>\n <tr>\n <th>165</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Uganda</td>\n <td>UGA</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Uganda</td>\n <td>UGA</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Eastern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((31.86617000000007 -1.027359999999931...</td>\n </tr>\n <tr>\n <th>166</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Ukraine</td>\n <td>UKR</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Ukraine</td>\n <td>UKR</td>\n <td>...</td>\n <td>Europe</td>\n <td>Europe</td>\n <td>Eastern Europe</td>\n <td>Europe &amp; Central Asia</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((31.78599816257159 52.10167796488545,...</td>\n </tr>\n <tr>\n <th>167</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Uruguay</td>\n <td>URY</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Uruguay</td>\n <td>URY</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-57.62513342958296 -30.2162948544542...</td>\n </tr>\n <tr>\n <th>168</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>United States of America</td>\n <td>US1</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>Country</td>\n <td>United States of America</td>\n <td>USA</td>\n <td>...</td>\n <td>North America</td>\n <td>Americas</td>\n <td>Northern America</td>\n <td>North America</td>\n <td>13.0</td>\n <td>13.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((-155.54211 19.08348000000001, -155....</td>\n </tr>\n <tr>\n <th>169</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Uzbekistan</td>\n <td>UZB</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Uzbekistan</td>\n <td>UZB</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Central Asia</td>\n <td>Europe &amp; Central Asia</td>\n <td>10.0</td>\n <td>10.0</td>\n <td>4.0</td>\n <td>5.0</td>\n <td>1.0</td>\n <td>POLYGON ((66.51860680528867 37.36278432875879,...</td>\n </tr>\n <tr>\n <th>170</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Venezuela</td>\n <td>VEN</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Venezuela</td>\n <td>VEN</td>\n <td>...</td>\n <td>South America</td>\n <td>Americas</td>\n <td>South America</td>\n <td>Latin America &amp; Caribbean</td>\n <td>9.0</td>\n <td>9.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((-71.3315836249503 11.77628408451581,...</td>\n </tr>\n <tr>\n <th>171</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Vietnam</td>\n <td>VNM</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Vietnam</td>\n <td>VNM</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>South-Eastern Asia</td>\n <td>East Asia &amp; Pacific</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>5.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>POLYGON ((108.0501802917829 21.55237986906012,...</td>\n </tr>\n <tr>\n <th>172</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>4.0</td>\n <td>Vanuatu</td>\n <td>VUT</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Vanuatu</td>\n <td>VUT</td>\n <td>...</td>\n <td>Oceania</td>\n <td>Oceania</td>\n <td>Melanesia</td>\n <td>East Asia &amp; Pacific</td>\n <td>7.0</td>\n <td>7.0</td>\n <td>4.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>(POLYGON ((167.8448767438451 -16.4663331030971...</td>\n </tr>\n <tr>\n <th>173</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Yemen</td>\n <td>YEM</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Yemen</td>\n <td>YEM</td>\n <td>...</td>\n <td>Asia</td>\n <td>Asia</td>\n <td>Western Asia</td>\n <td>Middle East &amp; North Africa</td>\n <td>5.0</td>\n <td>5.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((53.10857262554751 16.65105113368895,...</td>\n </tr>\n <tr>\n <th>174</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>South Africa</td>\n <td>ZAF</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>South Africa</td>\n <td>ZAF</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Southern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>12.0</td>\n <td>12.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((31.52100141777888 -29.25738697684626...</td>\n </tr>\n <tr>\n <th>175</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Zambia</td>\n <td>ZMB</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Zambia</td>\n <td>ZMB</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Eastern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((32.75937544122132 -9.23059905358906,...</td>\n </tr>\n <tr>\n <th>176</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Zimbabwe</td>\n <td>ZWE</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>Sovereign country</td>\n <td>Zimbabwe</td>\n <td>ZWE</td>\n <td>...</td>\n <td>Africa</td>\n <td>Africa</td>\n <td>Eastern Africa</td>\n <td>Sub-Saharan Africa</td>\n <td>8.0</td>\n <td>8.0</td>\n <td>5.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>POLYGON ((31.19140913262129 -22.2515096981724,...</td>\n </tr>\n </tbody>\n</table>\n<p>177 rows × 64 columns</p>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# pandas-like slices are always better than a loop ;-)\n\ngl = gdf[gdf['admin'] == 'Greenland']\ngl",
"execution_count": 2,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 2,
"data": {
"text/plain": " scalerank featurecla labelrank sovereignt sov_a3 adm0_dif level \\\n65 1 Admin-0 country 3.0 Denmark DN1 1.0 2.0 \n\n type admin adm0_a3 \\\n65 Country Greenland GRL \n\n ... continent \\\n65 ... North America \n\n region_un subregion region_wb name_len long_len \\\n65 Americas Northern America Europe & Central Asia 9.0 9.0 \n\n abbrev_len tiny homepart \\\n65 6.0 -99.0 -99.0 \n\n geometry \n65 POLYGON ((-46.76379 82.62796, -43.40644 83.225... \n\n[1 rows x 64 columns]",
"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>scalerank</th>\n <th>featurecla</th>\n <th>labelrank</th>\n <th>sovereignt</th>\n <th>sov_a3</th>\n <th>adm0_dif</th>\n <th>level</th>\n <th>type</th>\n <th>admin</th>\n <th>adm0_a3</th>\n <th>...</th>\n <th>continent</th>\n <th>region_un</th>\n <th>subregion</th>\n <th>region_wb</th>\n <th>name_len</th>\n <th>long_len</th>\n <th>abbrev_len</th>\n <th>tiny</th>\n <th>homepart</th>\n <th>geometry</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>65</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>3.0</td>\n <td>Denmark</td>\n <td>DN1</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>Country</td>\n <td>Greenland</td>\n <td>GRL</td>\n <td>...</td>\n <td>North America</td>\n <td>Americas</td>\n <td>Northern America</td>\n <td>Europe &amp; Central Asia</td>\n <td>9.0</td>\n <td>9.0</td>\n <td>6.0</td>\n <td>-99.0</td>\n <td>-99.0</td>\n <td>POLYGON ((-46.76379 82.62796, -43.40644 83.225...</td>\n </tr>\n </tbody>\n</table>\n<p>1 rows × 64 columns</p>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "au = gdf[gdf['admin'] == 'Australia']\nau",
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 3,
"data": {
"text/plain": " scalerank featurecla labelrank sovereignt sov_a3 adm0_dif level \\\n8 1 Admin-0 country 2.0 Australia AU1 1.0 2.0 \n\n type admin adm0_a3 \\\n8 Country Australia AUS \n\n ... continent region_un \\\n8 ... Oceania Oceania \n\n subregion region_wb name_len long_len \\\n8 Australia and New Zealand East Asia & Pacific 9.0 9.0 \n\n abbrev_len tiny homepart \\\n8 4.0 -99.0 1.0 \n\n geometry \n8 (POLYGON ((145.3979781434948 -40.7925485166058... \n\n[1 rows x 64 columns]",
"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>scalerank</th>\n <th>featurecla</th>\n <th>labelrank</th>\n <th>sovereignt</th>\n <th>sov_a3</th>\n <th>adm0_dif</th>\n <th>level</th>\n <th>type</th>\n <th>admin</th>\n <th>adm0_a3</th>\n <th>...</th>\n <th>continent</th>\n <th>region_un</th>\n <th>subregion</th>\n <th>region_wb</th>\n <th>name_len</th>\n <th>long_len</th>\n <th>abbrev_len</th>\n <th>tiny</th>\n <th>homepart</th>\n <th>geometry</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>8</th>\n <td>1</td>\n <td>Admin-0 country</td>\n <td>2.0</td>\n <td>Australia</td>\n <td>AU1</td>\n <td>1.0</td>\n <td>2.0</td>\n <td>Country</td>\n <td>Australia</td>\n <td>AUS</td>\n <td>...</td>\n <td>Oceania</td>\n <td>Oceania</td>\n <td>Australia and New Zealand</td>\n <td>East Asia &amp; Pacific</td>\n <td>9.0</td>\n <td>9.0</td>\n <td>4.0</td>\n <td>-99.0</td>\n <td>1.0</td>\n <td>(POLYGON ((145.3979781434948 -40.7925485166058...</td>\n </tr>\n </tbody>\n</table>\n<p>1 rows × 64 columns</p>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "au_shape = au['geometry'].values[0]\nau_shape",
"execution_count": 4,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 4,
"data": {
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},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "type(au_shape) # This is a shapely object",
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 5,
"data": {
"text/plain": "shapely.geometry.multipolygon.MultiPolygon"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "There are a number of ways to get the lon, lat of the polygon, but I find the `__geo_interface__` the easiest and will work with all objects that implements it."
},
{
"metadata": {
"trusted": true,
"scrolled": false
},
"cell_type": "code",
"source": "au_geo = au.__geo_interface__ # a Python dict with all the data\n\nau_geo",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 6,
"data": {
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(143.56181115129996, -13.763655694232213)),)],\n 'type': 'MultiPolygon'},\n 'id': '8',\n 'properties': {'abbrev': 'Auz.',\n 'abbrev_len': 4.0,\n 'adm0_a3': 'AUS',\n 'adm0_a3_is': 'AUS',\n 'adm0_a3_un': -99.0,\n 'adm0_a3_us': 'AUS',\n 'adm0_a3_wb': -99.0,\n 'adm0_dif': 1.0,\n 'admin': 'Australia',\n 'brk_a3': 'AUS',\n 'brk_diff': 0.0,\n 'brk_group': None,\n 'brk_name': 'Australia',\n 'continent': 'Oceania',\n 'economy': '2. Developed region: nonG7',\n 'featurecla': 'Admin-0 country',\n 'fips_10': None,\n 'formal_en': 'Commonwealth of Australia',\n 'formal_fr': None,\n 'gdp_md_est': 800200.0,\n 'gdp_year': -99.0,\n 'geou_dif': 0.0,\n 'geounit': 'Australia',\n 'gu_a3': 'AUS',\n 'homepart': 1.0,\n 'income_grp': '1. High income: OECD',\n 'iso_a2': 'AU',\n 'iso_a3': 'AUS',\n 'iso_n3': '036',\n 'labelrank': 2.0,\n 'lastcensus': 2006.0,\n 'level': 2.0,\n 'long_len': 9.0,\n 'mapcolor13': 7.0,\n 'mapcolor7': 1.0,\n 'mapcolor8': 2.0,\n 'mapcolor9': 2.0,\n 'name': 'Australia',\n 'name_alt': None,\n 'name_len': 9.0,\n 'name_long': 'Australia',\n 'name_sort': 'Australia',\n 'note_adm0': None,\n 'note_brk': None,\n 'pop_est': 21262641.0,\n 'pop_year': -99.0,\n 'postal': 'AU',\n 'region_un': 'Oceania',\n 'region_wb': 'East Asia & Pacific',\n 'scalerank': 1,\n 'sov_a3': 'AU1',\n 'sovereignt': 'Australia',\n 'su_a3': 'AUS',\n 'su_dif': 0.0,\n 'subregion': 'Australia and New Zealand',\n 'subunit': 'Australia',\n 'tiny': -99.0,\n 'type': 'Country',\n 'un_a3': '036',\n 'wb_a2': 'AU',\n 'wb_a3': 'AUS',\n 'wikipedia': -99.0,\n 'woe_id': -99.0},\n 'type': 'Feature'}],\n 'type': 'FeatureCollection'}"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Note that the `__geo_interface__` dictionary has a `features` key has a single feature with a bounding box and a `geometry`. "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# To make the code generic we should loop over all the features.\n# Because we only have 1 I'll be lazy here.\n\nlen(au_geo['features'])",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 7,
"data": {
"text/plain": "1"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# We have two geometries (Probably the main continent and Tasmania).\n\nlen(au_geo['features'][0]['geometry']['coordinates'])",
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 8,
"data": {
"text/plain": "2"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import numpy as np\n\n\ncoords = au_geo['features'][0]['geometry']['coordinates'][1]\n\nlats = np.array(coords).squeeze()[:, 0]\nlons = np.array(coords).squeeze()[:, 1]",
"execution_count": 9,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "%matplotlib inline\nimport matplotlib.pyplot as plt\n\n\nplt.plot(lats, lons, ':');",
"execution_count": 10,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<matplotlib.figure.Figure at 0x7f42ffb69438>",
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1KNI2SIoNp3tilKyxK4TwG0opnr1qBGFmE4nRxi7Y7mmn0ws4BystcNWpaBq2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\n"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "coords = au_geo['features'][0]['geometry']['coordinates'][0]\n\nlats = np.array(coords).squeeze()[:, 0]\nlons = np.array(coords).squeeze()[:, 1]\n\nplt.plot(lats, lons, ':');",
"execution_count": 11,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<matplotlib.figure.Figure at 0x7f43406f8710>",
"image/png": 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Iqa6gpqGZqLBgrjwjjeFpsfTvGW11SB1KSxpdwKItB5jw50WUaBWVUp3qvdUF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\nv6bUyQxNieGcAYmkd4+wOpQ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},
"metadata": {}
}
]
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python [default]",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.6.3",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"gist": {
"id": "",
"data": {
"description": "explore shapefile",
"public": true
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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