data/notebooks/Lab/0_2_Manage_unknonw_locations.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "1f02ba5d",
"metadata": {},
"source": [
"# Manage unknown locations:\n",
"\n",
"## Table of Contents\n",
"- ### [Introduction](#introduction)\n",
"- ### [Python libraries](#libraries)\n",
"- ### [Import raw data](#importData)\n",
"- ### [Data exploration](#dataexploration)\n",
" - #### [Download importers data](#downloadImportersData)\n",
" - #### [Retrieve geometries from importers data](#retrieveGeoms)\n",
" - #### [Determine contry production and outsourcing](#countryProduction)\n",
" - #### [Define weights](#weights)\n",
"- ### [Final notes](#finalNotes)"
]
},
{
"cell_type": "markdown",
"id": "01a36bfe",
"metadata": {},
"source": [
"<a id='introduction'></a>\n",
"## Introduction\n",
"\n",
"One of the 4 different locations type to explore is the unknow location. An unknow location is the one where we know the collection of that commodity but we don't have visibility of the origin of that commodity.\n",
"\n",
"To solve this uncertanty we can do two different types of analysis:\n",
"\n",
"1. A quick assumtion would be to consider that collection country as the origin country and therefore we would be using the centroid or the country admin area (potentially weighted by the location production of a particular commodity) to compute the metrics.\n",
"\n",
"2. A slightly more elavorated approach would be to use the imports data from differnt locations to that collection country and generate a weighted map to compute the different metrics. THe import data information can be extracted from the following source: https://resourcetrade.earth/?year=2019&importer=152&category=90&units=value&autozoom=1"
]
},
{
"cell_type": "markdown",
"id": "4f4bbffd",
"metadata": {},
"source": [
"<a id='libraries'></a>\n",
"## Python libraries"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "1b58d842",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import geopandas as gpd\n",
"import os\n",
"from IPython.display import Image\n",
"import requests\n",
"import folium\n",
"from processing.geolocating_data import GeolocateAddress"
]
},
{
"cell_type": "markdown",
"id": "1c46afc5",
"metadata": {},
"source": [
"<a id='importData'></a>\n",
"## Import raw data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "232e32f7",
"metadata": {},
"outputs": [
{
"data": {
"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>Material</th>\n",
" <th>Material detail</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>2400</td>\n",
" <td>China</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>1300</td>\n",
" <td>Malaysia</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>1000</td>\n",
" <td>United States</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>730</td>\n",
" <td>Japan</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>490</td>\n",
" <td>India</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Material Material detail Volume Country Address Latitude \\\n",
"0 Rubber NaN 2400 China NaN NaN \n",
"1 Rubber NaN 1300 Malaysia NaN NaN \n",
"2 Rubber NaN 1000 United States NaN NaN \n",
"3 Rubber NaN 730 Japan NaN NaN \n",
"4 Rubber NaN 490 India NaN NaN \n",
"\n",
" Longitude Location type \n",
"0 NaN Unknown \n",
"1 NaN Unknown \n",
"2 NaN Unknown \n",
"3 NaN Unknown \n",
"4 NaN Unknown "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"input_data = pd.read_csv('../raw_data/LG fake data sheet - Raw materials.csv')\n",
"input_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9d027ec8",
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
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" 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>Material</th>\n",
" <th>Material detail</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>2400</td>\n",
" <td>China</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>1300</td>\n",
" <td>Malaysia</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>1000</td>\n",
" <td>United States</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>730</td>\n",
" <td>Japan</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>490</td>\n",
" <td>India</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Material Material detail Volume Country Address Latitude \\\n",
"0 Rubber NaN 2400 China NaN NaN \n",
"1 Rubber NaN 1300 Malaysia NaN NaN \n",
"2 Rubber NaN 1000 United States NaN NaN \n",
"3 Rubber NaN 730 Japan NaN NaN \n",
"4 Rubber NaN 490 India NaN NaN \n",
"\n",
" Longitude Location type \n",
"0 NaN Unknown \n",
"1 NaN Unknown \n",
"2 NaN Unknown \n",
"3 NaN Unknown \n",
"4 NaN Unknown "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## get unknown locations\n",
"unknown_data = input_data[input_data['Location type'] =='Unknown']\n",
"unknown_data.head()"
]
},
{
"cell_type": "markdown",
"id": "d17c5390",
"metadata": {},
"source": [
"<a id='dataexploration'></a>\n",
"## Data exploration"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "f414d3c4",
"metadata": {},
"outputs": [
{
"data": {
"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>Material</th>\n",
" <th>Material detail</th>\n",
" <th>Volume</th>\n",
" <th>Country</th>\n",
" <th>Address</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Location type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Rubber</td>\n",
" <td>NaN</td>\n",
" <td>2400</td>\n",
" <td>China</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Unknown</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Material Material detail Volume Country Address Latitude Longitude \\\n",
"0 Rubber NaN 2400 China NaN NaN NaN \n",
"\n",
" Location type \n",
"0 Unknown "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## make a data exploration for one case\n",
"unknown_data_china = unknown_data[:1]\n",
"unknown_data_china"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "349f7671",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"China Rubber\n"
]
}
],
"source": [
"for i in range(0,len(unknown_data_china)):\n",
" row = unknown_data_china.iloc[0]\n",
" if row['Location type'] == 'Unknown':\n",
" country = row['Country']\n",
" commodity = row['Material']\n",
" print(country, commodity)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "ced8759d",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 21,
"metadata": {
"image/png": {
"height": 300,
"width": 900
}
},
"output_type": "execute_result"
}
],
"source": [
"# image showing imports of rubber to chinna\n",
"Image(filename = \"../raw_data/Screenshot from 2021-04-30 11-29-40.png\", width = 900, height = 300)"
]
},
{
"cell_type": "markdown",
"id": "6db99478",
"metadata": {},
"source": [
"<a id='downloadImportersData'></a>\n",
"### Download importers data"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "9d792b2d",
"metadata": {},
"outputs": [
{
"data": {
"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>Exporter M.49</th>\n",
" <th>Exporter ISO3</th>\n",
" <th>Exporter</th>\n",
" <th>Exporter region</th>\n",
" <th>Resource</th>\n",
" <th>Year</th>\n",
" <th>Value (1000USD)</th>\n",
" <th>Weight (1000kg)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4</td>\n",
" <td>AFG</td>\n",
" <td>Afghanistan</td>\n",
" <td>Central and Southern Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2015</td>\n",
" <td>3637.358000</td>\n",
" <td>1175.469000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>12</td>\n",
" <td>DZA</td>\n",
" <td>Algeria</td>\n",
" <td>Northern Africa and Western Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2015</td>\n",
" <td>0.021000</td>\n",
" <td>0.001000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>31</td>\n",
" <td>AZE</td>\n",
" <td>Azerbaijan</td>\n",
" <td>Northern Africa and Western Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2015</td>\n",
" <td>1904.700000</td>\n",
" <td>120.111000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>32</td>\n",
" <td>ARG</td>\n",
" <td>Argentina</td>\n",
" <td>Latin America and the Caribbean</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2015</td>\n",
" <td>309.919454</td>\n",
" <td>121.880270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>36</td>\n",
" <td>AUS</td>\n",
" <td>Australia</td>\n",
" <td>Australia and New Zealand</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2015</td>\n",
" <td>8824.574757</td>\n",
" <td>2289.261924</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",
" </tr>\n",
" <tr>\n",
" <th>565</th>\n",
" <td>842</td>\n",
" <td>USA</td>\n",
" <td>United States</td>\n",
" <td>Northern America</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>353814.691650</td>\n",
" <td>138171.105565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>566</th>\n",
" <td>854</td>\n",
" <td>BFA</td>\n",
" <td>Burkina Faso</td>\n",
" <td>Sub-Saharan Africa</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>46.212000</td>\n",
" <td>83.742000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>567</th>\n",
" <td>860</td>\n",
" <td>UZB</td>\n",
" <td>Uzbekistan</td>\n",
" <td>Central and Southern Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>22652.723000</td>\n",
" <td>5094.176300</td>\n",
" </tr>\n",
" <tr>\n",
" <th>568</th>\n",
" <td>894</td>\n",
" <td>ZMB</td>\n",
" <td>Zambia</td>\n",
" <td>Sub-Saharan Africa</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>2.505000</td>\n",
" <td>0.005000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>569</th>\n",
" <td>899</td>\n",
" <td>NaN</td>\n",
" <td>Areas, nes</td>\n",
" <td>NaN</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>28998.563000</td>\n",
" <td>6070.359000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>570 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" Exporter M.49 Exporter ISO3 Exporter \\\n",
"0 4 AFG Afghanistan \n",
"1 12 DZA Algeria \n",
"2 31 AZE Azerbaijan \n",
"3 32 ARG Argentina \n",
"4 36 AUS Australia \n",
".. ... ... ... \n",
"565 842 USA United States \n",
"566 854 BFA Burkina Faso \n",
"567 860 UZB Uzbekistan \n",
"568 894 ZMB Zambia \n",
"569 899 NaN Areas, nes \n",
"\n",
" Exporter region Resource Year Value (1000USD) \\\n",
"0 Central and Southern Asia Rubber and gums 2015 3637.358000 \n",
"1 Northern Africa and Western Asia Rubber and gums 2015 0.021000 \n",
"2 Northern Africa and Western Asia Rubber and gums 2015 1904.700000 \n",
"3 Latin America and the Caribbean Rubber and gums 2015 309.919454 \n",
"4 Australia and New Zealand Rubber and gums 2015 8824.574757 \n",
".. ... ... ... ... \n",
"565 Northern America Rubber and gums 2019 353814.691650 \n",
"566 Sub-Saharan Africa Rubber and gums 2019 46.212000 \n",
"567 Central and Southern Asia Rubber and gums 2019 22652.723000 \n",
"568 Sub-Saharan Africa Rubber and gums 2019 2.505000 \n",
"569 NaN Rubber and gums 2019 28998.563000 \n",
"\n",
" Weight (1000kg) \n",
"0 1175.469000 \n",
"1 0.001000 \n",
"2 120.111000 \n",
"3 121.880270 \n",
"4 2289.261924 \n",
".. ... \n",
"565 138171.105565 \n",
"566 83.742000 \n",
"567 5094.176300 \n",
"568 0.005000 \n",
"569 6070.359000 \n",
"\n",
"[570 rows x 8 columns]"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"##get imports of rubber to china\n",
"## importer 156 is chinna\n",
"## category 17 is rubber\n",
"## TODO - get list of importers and categories\n",
"\n",
"url = 'https://api.resourcetrade.earth/api/rt/2.3/downloads?year=2019&importer=156&category=17&units=value&autozoom=1'\n",
"\n",
"df_imports = pd.read_excel (r'../raw_data/resourcetradeearth-all-156-17-2019.xlsx', sheet_name='Exporters')\n",
"df_imports"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "7f4283d0",
"metadata": {},
"outputs": [
{
"data": {
"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>Exporter M.49</th>\n",
" <th>Exporter ISO3</th>\n",
" <th>Exporter</th>\n",
" <th>Exporter region</th>\n",
" <th>Resource</th>\n",
" <th>Year</th>\n",
" <th>Value (1000USD)</th>\n",
" <th>Weight (1000kg)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>452</th>\n",
" <td>31</td>\n",
" <td>AZE</td>\n",
" <td>Azerbaijan</td>\n",
" <td>Northern Africa and Western Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>768.550000</td>\n",
" <td>117.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>453</th>\n",
" <td>32</td>\n",
" <td>ARG</td>\n",
" <td>Argentina</td>\n",
" <td>Latin America and the Caribbean</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>231.075000</td>\n",
" <td>56.979000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>454</th>\n",
" <td>36</td>\n",
" <td>AUS</td>\n",
" <td>Australia</td>\n",
" <td>Australia and New Zealand</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1706.255649</td>\n",
" <td>241.778480</td>\n",
" </tr>\n",
" <tr>\n",
" <th>455</th>\n",
" <td>40</td>\n",
" <td>AUT</td>\n",
" <td>Austria</td>\n",
" <td>Europe</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>2647.636952</td>\n",
" <td>179.920651</td>\n",
" </tr>\n",
" <tr>\n",
" <th>456</th>\n",
" <td>50</td>\n",
" <td>BGD</td>\n",
" <td>Bangladesh</td>\n",
" <td>Central and Southern Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1.160000</td>\n",
" <td>0.372000</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",
" </tr>\n",
" <tr>\n",
" <th>565</th>\n",
" <td>842</td>\n",
" <td>USA</td>\n",
" <td>United States</td>\n",
" <td>Northern America</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>353814.691650</td>\n",
" <td>138171.105565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>566</th>\n",
" <td>854</td>\n",
" <td>BFA</td>\n",
" <td>Burkina Faso</td>\n",
" <td>Sub-Saharan Africa</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>46.212000</td>\n",
" <td>83.742000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>567</th>\n",
" <td>860</td>\n",
" <td>UZB</td>\n",
" <td>Uzbekistan</td>\n",
" <td>Central and Southern Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>22652.723000</td>\n",
" <td>5094.176300</td>\n",
" </tr>\n",
" <tr>\n",
" <th>568</th>\n",
" <td>894</td>\n",
" <td>ZMB</td>\n",
" <td>Zambia</td>\n",
" <td>Sub-Saharan Africa</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>2.505000</td>\n",
" <td>0.005000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>569</th>\n",
" <td>899</td>\n",
" <td>NaN</td>\n",
" <td>Areas, nes</td>\n",
" <td>NaN</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>28998.563000</td>\n",
" <td>6070.359000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>118 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" Exporter M.49 Exporter ISO3 Exporter \\\n",
"452 31 AZE Azerbaijan \n",
"453 32 ARG Argentina \n",
"454 36 AUS Australia \n",
"455 40 AUT Austria \n",
"456 50 BGD Bangladesh \n",
".. ... ... ... \n",
"565 842 USA United States \n",
"566 854 BFA Burkina Faso \n",
"567 860 UZB Uzbekistan \n",
"568 894 ZMB Zambia \n",
"569 899 NaN Areas, nes \n",
"\n",
" Exporter region Resource Year Value (1000USD) \\\n",
"452 Northern Africa and Western Asia Rubber and gums 2019 768.550000 \n",
"453 Latin America and the Caribbean Rubber and gums 2019 231.075000 \n",
"454 Australia and New Zealand Rubber and gums 2019 1706.255649 \n",
"455 Europe Rubber and gums 2019 2647.636952 \n",
"456 Central and Southern Asia Rubber and gums 2019 1.160000 \n",
".. ... ... ... ... \n",
"565 Northern America Rubber and gums 2019 353814.691650 \n",
"566 Sub-Saharan Africa Rubber and gums 2019 46.212000 \n",
"567 Central and Southern Asia Rubber and gums 2019 22652.723000 \n",
"568 Sub-Saharan Africa Rubber and gums 2019 2.505000 \n",
"569 NaN Rubber and gums 2019 28998.563000 \n",
"\n",
" Weight (1000kg) \n",
"452 117.800000 \n",
"453 56.979000 \n",
"454 241.778480 \n",
"455 179.920651 \n",
"456 0.372000 \n",
".. ... \n",
"565 138171.105565 \n",
"566 83.742000 \n",
"567 5094.176300 \n",
"568 0.005000 \n",
"569 6070.359000 \n",
"\n",
"[118 rows x 8 columns]"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#do the analysis just for one year - year 2019\n",
"df_imports_2019 = df_imports[df_imports['Year']==2019]\n",
"df_imports_2019"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "feae4acc",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There are 118 exporters of rubber to chinna\n"
]
}
],
"source": [
"print(f'There are {len(df_imports_2019)} exporters of rubber to chinna')"
]
},
{
"cell_type": "markdown",
"id": "301c5b81",
"metadata": {},
"source": [
"<a id='retrieveGeoms'></a>\n",
"### Retrieve geometries from importers data"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "bfa6fb32",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Azerbaijan with timeout=180\n",
"Geocoded \"Azerbaijan\" to (47.7872508, 40.3936294)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Azerbaijan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Azerbaijan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Argentina with timeout=180\n",
"Geocoded \"Argentina\" to (-64.9672817, -34.9964963)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Argentina')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Argentina\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Australia with timeout=180\n",
"Geocoded \"Australia\" to (134.755, -24.7761086)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Australia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Australia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Austria with timeout=180\n",
"Geocoded \"Austria\" to (13.2, 47.2)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Austria')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Austria\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Bangladesh with timeout=180\n",
"Geocoded \"Bangladesh\" to (90.2932426, 24.4768783)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Bangladesh')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Bangladesh\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Belgium with timeout=180\n",
"Geocoded \"Belgium\" to (4.6667145, 50.6402809)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Belgium')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Belgium\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Botswana with timeout=180\n",
"Geocoded \"Botswana\" to (24.5928742, -23.1681782)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Botswana')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Botswana\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Brazil with timeout=180\n",
"Geocoded \"Brazil\" to (-53.2, -10.3333333)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Brazil')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Brazil\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Bulgaria with timeout=180\n",
"Geocoded \"Bulgaria\" to (25.4856617, 42.6073975)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Bulgaria')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Bulgaria\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Myanmar with timeout=180\n",
"Geocoded \"Myanmar\" to (95.9999652, 17.1750495)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Myanmar')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Myanmar\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Belarus with timeout=180\n",
"Geocoded \"Belarus\" to (27.6971358, 53.4250605)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Belarus')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Belarus\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Cambodia with timeout=180\n",
"Geocoded \"Cambodia\" to (104.869423, 13.5066394)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Cambodia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Cambodia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Cameroon with timeout=180\n",
"Geocoded \"Cameroon\" to (13.1535811, 4.6125522)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Cameroon')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Cameroon\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Canada with timeout=180\n",
"Geocoded \"Canada\" to (-107.991707, 61.0666922)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Canada')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Canada\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Sri+Lanka with timeout=180\n",
"Geocoded \"Sri Lanka\" to (80.7137847, 7.5554942)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Sri Lanka')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Sri+Lanka\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Chad with timeout=180\n",
"Geocoded \"Chad\" to (19.0156172, 15.6134137)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Chad')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Chad\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Chile with timeout=180\n",
"Geocoded \"Chile\" to (-71.3187697, -31.7613365)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Chile')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Chile\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Colombia with timeout=180\n",
"Geocoded \"Colombia\" to (-73.783892, 2.8894434)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Colombia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Colombia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Congo%2C+Republic with timeout=180\n",
"Geocoded \"Congo, Republic\" to (16.018048574081842, -0.7179165000000001)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Congo, Republic')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Congo%2C+Republic\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Congo%2C+Democratic+Republic with timeout=180\n",
"Geocoded \"Congo, Democratic Republic\" to (15.28303990586435, -4.27250705)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Congo, Democratic Republic')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Congo%2C+Democratic+Republic\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Costa+Rica with timeout=180\n",
"Geocoded \"Costa Rica\" to (-83.82371114343024, 9.5773243)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Costa Rica')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Costa+Rica\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Croatia with timeout=180\n",
"Geocoded \"Croatia\" to (17.0118954, 45.5643442)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Croatia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Croatia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Cuba with timeout=180\n",
"Geocoded \"Cuba\" to (-80.8328748, 23.0131338)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Cuba')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Cuba\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Cyprus with timeout=180\n",
"Geocoded \"Cyprus\" to (33.1451285, 34.9823018)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Cyprus')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Cyprus\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Czech+Republic with timeout=180\n",
"Geocoded \"Czech Republic\" to (15.4749544, 49.8167003)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Czech Republic')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Czech+Republic\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Denmark with timeout=180\n",
"Geocoded \"Denmark\" to (10.3333283, 55.670249)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Denmark')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Denmark\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Dominica with timeout=180\n",
"Geocoded \"Dominica\" to (-70.035906834967, 19.28131815)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Dominica')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Dominica\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Dominican+Republic with timeout=180\n",
"Geocoded \"Dominican Republic\" to (-70.035906834967, 19.28131815)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Dominican Republic')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Dominican+Republic\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Ecuador with timeout=180\n",
"Geocoded \"Ecuador\" to (-79.3666965, -1.3397668)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Ecuador')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Ecuador\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=El+Salvador with timeout=180\n",
"Geocoded \"El Salvador\" to (-88.9140683, 13.8000382)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'El Salvador')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=El+Salvador\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Ethiopia with timeout=180\n",
"Geocoded \"Ethiopia\" to (38.6521203, 10.2116702)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Ethiopia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Ethiopia\n",
"OSM returned a Point as the geometry\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Estonia with timeout=180\n",
"Geocoded \"Estonia\" to (25.3319078, 58.7523778)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Estonia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Estonia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Finland with timeout=180\n",
"Geocoded \"Finland\" to (25.9209164, 63.2467777)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Finland')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Finland\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=France with timeout=180\n",
"Geocoded \"France\" to (1.8883335, 46.603354)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'France')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=France\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Georgia with timeout=180\n",
"Geocoded \"Georgia\" to (-83.1137366, 32.3293809)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Georgia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Georgia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Germany with timeout=180\n",
"Geocoded \"Germany\" to (10.4234469, 51.0834196)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Germany')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Germany\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Ghana with timeout=180\n",
"Geocoded \"Ghana\" to (-1.0840975468820433, 7.8573710000000005)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Ghana')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Ghana\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Greece with timeout=180\n",
"Geocoded \"Greece\" to (21.9877132, 38.9953683)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Greece')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Greece\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Guatemala with timeout=180\n",
"Geocoded \"Guatemala\" to (-89.8988087, 15.6356088)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Guatemala')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Guatemala\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Guinea with timeout=180\n",
"Geocoded \"Guinea\" to (-10.7083587, 10.7226226)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Guinea')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Guinea\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Honduras with timeout=180\n",
"Geocoded \"Honduras\" to (-86.0755145, 15.2572432)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Honduras')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Honduras\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=China%2C+Hong+Kong+SAR with timeout=180\n",
"Geocoded \"China, Hong Kong SAR\" to (114.1849161, 22.350627)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'China, Hong Kong SAR')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=China%2C+Hong+Kong+SAR\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Hungary with timeout=180\n",
"Geocoded \"Hungary\" to (19.5060937, 47.1817585)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Hungary')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Hungary\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Iceland with timeout=180\n",
"Geocoded \"Iceland\" to (-18.1059013, 64.9841821)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Iceland')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Iceland\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Indonesia with timeout=180\n",
"Geocoded \"Indonesia\" to (117.8902853, -2.4833826)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Indonesia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Indonesia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Iran with timeout=180\n",
"Geocoded \"Iran\" to (54.5643516, 32.6475314)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Iran')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Iran\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Ireland with timeout=180\n",
"Geocoded \"Ireland\" to (-7.9794599, 52.865196)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Ireland')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Ireland\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Israel with timeout=180\n",
"Geocoded \"Israel\" to (34.8667654, 31.5313113)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Israel')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Israel\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Italy with timeout=180\n",
"Geocoded \"Italy\" to (12.674297, 42.6384261)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Italy')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Italy\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Cote+d%27Ivoire with timeout=180\n",
"Geocoded \"Cote d'Ivoire\" to (-5.5679458, 7.9897371)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', \"Cote d'Ivoire\")])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Cote+d%27Ivoire\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Japan with timeout=180\n",
"Geocoded \"Japan\" to (139.2394179, 36.5748441)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Japan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Japan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Kazakhstan with timeout=180\n",
"Geocoded \"Kazakhstan\" to (65.2093197, 47.2286086)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Kazakhstan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Kazakhstan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Jordan with timeout=180\n",
"Geocoded \"Jordan\" to (36.941628, 31.1667049)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Jordan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Jordan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Kenya with timeout=180\n",
"Geocoded \"Kenya\" to (38.4313975, 1.4419683)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Kenya')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Kenya\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Korea%2C+Republic with timeout=180\n",
"Geocoded \"Korea, Republic\" to (127.6961188, 36.638392)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Korea, Republic')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Korea%2C+Republic\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Kuwait with timeout=180\n",
"Geocoded \"Kuwait\" to (47.4979476, 29.2733964)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Kuwait')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Kuwait\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Lao+PDR with timeout=180\n",
"Geocoded \"Lao PDR\" to (104.7616493, 16.5848133)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Lao PDR')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Lao+PDR\n",
"OSM returned a Point as the geometry\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Latvia with timeout=180\n",
"Geocoded \"Latvia\" to (24.7537645, 56.8406494)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Latvia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Latvia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Liberia with timeout=180\n",
"Geocoded \"Liberia\" to (-9.3658524, 5.7499721)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Liberia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Liberia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Lithuania with timeout=180\n",
"Geocoded \"Lithuania\" to (23.7499997, 55.3500003)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Lithuania')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Lithuania\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Luxembourg with timeout=180\n",
"Geocoded \"Luxembourg\" to (6.1296751, 49.8158683)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Luxembourg')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Luxembourg\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Madagascar with timeout=180\n",
"Geocoded \"Madagascar\" to (46.4416422, -18.9249604)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Madagascar')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Madagascar\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Malawi with timeout=180\n",
"Geocoded \"Malawi\" to (33.9301963, -13.2687204)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Malawi')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Malawi\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Malaysia with timeout=180\n",
"Geocoded \"Malaysia\" to (102.2656823, 4.5693754)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Malaysia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Malaysia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Mali with timeout=180\n",
"Geocoded \"Mali\" to (-2.2900239, 16.3700359)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Mali')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Mali\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Malta with timeout=180\n",
"Geocoded \"Malta\" to (14.383630615858262, 35.9446731)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Malta')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Malta\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Mexico with timeout=180\n",
"Geocoded \"Mexico\" to (-100.0000375, 22.5000485)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Mexico')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Mexico\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Other+Asia%2C+nes with timeout=180\n",
"Nominatim could not geocode query \"Other Asia, nes\"\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Other Asia, nes')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Other+Asia%2C+nes\n",
"Geolocation for the location Other Asia, nes has failed!\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Mongolia with timeout=180\n",
"Geocoded \"Mongolia\" to (103.8499736, 46.8250388)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Mongolia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Mongolia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Moldova with timeout=180\n",
"Geocoded \"Moldova\" to (28.5670941, 47.2879608)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Moldova')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Moldova\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Morocco with timeout=180\n",
"Geocoded \"Morocco\" to (-7.3362482, 31.1728205)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Morocco')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Morocco\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Oman with timeout=180\n",
"Geocoded \"Oman\" to (57.0036901, 21.0000287)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Oman')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Oman\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Namibia with timeout=180\n",
"Geocoded \"Namibia\" to (17.3231107, -23.2335499)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Namibia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Namibia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Nepal with timeout=180\n",
"Geocoded \"Nepal\" to (84.0917139, 28.1083929)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Nepal')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Nepal\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Netherlands with timeout=180\n",
"Geocoded \"Netherlands\" to (5.7480821, 52.5001698)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Netherlands')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Netherlands\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=New+Zealand with timeout=180\n",
"Geocoded \"New Zealand\" to (172.8344077, -41.5000831)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'New Zealand')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=New+Zealand\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Nicaragua with timeout=180\n",
"Geocoded \"Nicaragua\" to (-85.2936911, 12.6090157)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Nicaragua')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Nicaragua\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Niger with timeout=180\n",
"Geocoded \"Niger\" to (9.3238432, 17.7356214)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Niger')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Niger\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Nigeria with timeout=180\n",
"Geocoded \"Nigeria\" to (7.9999721, 9.6000359)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Nigeria')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Nigeria\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Norway with timeout=180\n",
"Geocoded \"Norway\" to (9.0999715, 60.5000209)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Norway')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Norway\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Pakistan with timeout=180\n",
"Geocoded \"Pakistan\" to (71.247499, 30.3308401)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Pakistan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Pakistan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Paraguay with timeout=180\n",
"Geocoded \"Paraguay\" to (-58.1693445, -23.3165935)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Paraguay')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Paraguay\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Peru with timeout=180\n",
"Geocoded \"Peru\" to (-75.0458515, -6.8699697)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Peru')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Peru\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Philippines with timeout=180\n",
"Geocoded \"Philippines\" to (122.7312101, 12.7503486)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Philippines')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Philippines\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Poland with timeout=180\n",
"Geocoded \"Poland\" to (19.134422, 52.215933)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Poland')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Poland\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Portugal with timeout=180\n",
"Geocoded \"Portugal\" to (-7.8896263, 40.0332629)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Portugal')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Portugal\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Romania with timeout=180\n",
"Geocoded \"Romania\" to (24.6859225, 45.9852129)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Romania')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Romania\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Russian+Federation with timeout=180\n",
"Geocoded \"Russian Federation\" to (97.7453061, 64.6863136)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Russian Federation')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Russian+Federation\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Saudi+Arabia with timeout=180\n",
"Geocoded \"Saudi Arabia\" to (42.3528328, 25.6242618)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Saudi Arabia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Saudi+Arabia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Serbia with timeout=180\n",
"Geocoded \"Serbia\" to (20.55144, 44.1534121)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Serbia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Serbia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=India with timeout=180\n",
"Geocoded \"India\" to (78.6677428, 22.3511148)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'India')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=India\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Singapore with timeout=180\n",
"Geocoded \"Singapore\" to (103.8194992, 1.357107)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Singapore')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Singapore\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Slovakia with timeout=180\n",
"Geocoded \"Slovakia\" to (19.4528646, 48.7411522)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Slovakia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Slovakia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Vietnam with timeout=180\n",
"Geocoded \"Vietnam\" to (108.4265113, 13.2904027)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Vietnam')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Vietnam\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Slovenia with timeout=180\n",
"Geocoded \"Slovenia\" to (14.4808369, 45.8133113)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Slovenia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Slovenia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Somalia with timeout=180\n",
"Geocoded \"Somalia\" to (49.083416, 8.3676771)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Somalia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Somalia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=South+Africa with timeout=180\n",
"Geocoded \"South Africa\" to (24.991639, -28.8166236)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'South Africa')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=South+Africa\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Spain with timeout=180\n",
"Geocoded \"Spain\" to (-4.8379791, 39.3260685)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Spain')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Spain\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=South+Sudan with timeout=180\n",
"Geocoded \"South Sudan\" to (29.6667897, 7.8699431)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'South Sudan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=South+Sudan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Sudan with timeout=180\n",
"Geocoded \"Sudan\" to (29.4917691, 14.5844444)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Sudan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Sudan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Sweden with timeout=180\n",
"Geocoded \"Sweden\" to (14.5208584, 59.6749712)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Sweden')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Sweden\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Switzerland with timeout=180\n",
"Geocoded \"Switzerland\" to (8.444947437939408, 46.813331250000005)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Switzerland')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Switzerland\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Thailand with timeout=180\n",
"Geocoded \"Thailand\" to (100.83273, 14.8971921)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Thailand')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Thailand\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=United+Arab+Emirates with timeout=180\n",
"Geocoded \"United Arab Emirates\" to (53.9994829, 24.0002488)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'United Arab Emirates')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=United+Arab+Emirates\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Tunisia with timeout=180\n",
"Geocoded \"Tunisia\" to (9.400138, 33.8439408)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Tunisia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Tunisia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Turkey with timeout=180\n",
"Geocoded \"Turkey\" to (34.9249653, 38.9597594)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Turkey')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Turkey\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Turkmenistan with timeout=180\n",
"Geocoded \"Turkmenistan\" to (59.3924609, 39.3763807)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Turkmenistan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Turkmenistan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Uganda with timeout=180\n",
"Geocoded \"Uganda\" to (32.2166578, 1.5333554)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Uganda')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Uganda\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Ukraine with timeout=180\n",
"Geocoded \"Ukraine\" to (31.2718321, 49.4871968)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Ukraine')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Ukraine\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=North+Macedonia with timeout=180\n",
"Geocoded \"North Macedonia\" to (21.7168387, 41.6171214)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'North Macedonia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=North+Macedonia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Egypt with timeout=180\n",
"Geocoded \"Egypt\" to (29.2675469, 26.2540493)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Egypt')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Egypt\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=United+Kingdom with timeout=180\n",
"Geocoded \"United Kingdom\" to (-3.2765753, 54.7023545)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'United Kingdom')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=United+Kingdom\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Tanzania with timeout=180\n",
"Geocoded \"Tanzania\" to (35.7878438, -6.5247123)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Tanzania')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Tanzania\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=United+States with timeout=180\n",
"Geocoded \"United States\" to (-100.4458825, 39.7837304)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'United States')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=United+States\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Burkina+Faso with timeout=180\n",
"Geocoded \"Burkina Faso\" to (-1.6880314, 12.0753083)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Burkina Faso')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Burkina+Faso\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Uzbekistan with timeout=180\n",
"Geocoded \"Uzbekistan\" to (63.9528098, 41.32373)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Uzbekistan')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Uzbekistan\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Zambia with timeout=180\n",
"Geocoded \"Zambia\" to (27.5589884, -14.5189121)\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Zambia')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Zambia\n",
"Pausing 1 seconds before making HTTP GET request\n",
"Get https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&q=Areas%2C+nes with timeout=180\n",
"Nominatim could not geocode query \"Areas, nes\"\n",
"Params:OrderedDict([('format', 'json'), ('limit', 1), ('dedupe', 0), ('polygon_geojson', 1), ('q', 'Areas, nes')])\n",
"Preparing url: https://nominatim.openstreetmap.org/search?format=json&limit=1&dedupe=0&polygon_geojson=1&q=Areas%2C+nes\n",
"Geolocation for the location Areas, nes has failed!\n"
]
}
],
"source": [
"#retrieve the geometries for each country \n",
"geometry_list = []\n",
"for i in range(0, len(df_imports_2019)):\n",
" row = df_imports_2019.iloc[i]\n",
" country = row['Exporter']\n",
" try:\n",
" geolocation = GeolocateAddress(query=country)\n",
" gdf = gpd.GeoDataFrame.from_features(geolocation.polygon_json, crs='epsg:4326')\n",
" geom = gdf['geometry'].iloc[0]\n",
" except:\n",
" print(f'Geolocation for the location {country} has failed!')\n",
" geom = 'None'\n",
" \n",
" geometry_list.append(geom)\n"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "1a7b0ad2",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"<ipython-input-49-aff9bc448e02>:2: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df_imports_2019['Geometry'] = geometry_list\n"
]
},
{
"data": {
"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>Exporter M.49</th>\n",
" <th>Exporter ISO3</th>\n",
" <th>Exporter</th>\n",
" <th>Exporter region</th>\n",
" <th>Resource</th>\n",
" <th>Year</th>\n",
" <th>Value (1000USD)</th>\n",
" <th>Weight (1000kg)</th>\n",
" <th>Geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>452</th>\n",
" <td>31</td>\n",
" <td>AZE</td>\n",
" <td>Azerbaijan</td>\n",
" <td>Northern Africa and Western Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>768.550000</td>\n",
" <td>117.800000</td>\n",
" <td>(POLYGON ((44.7633701 39.7048253, 44.7635589 3...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>453</th>\n",
" <td>32</td>\n",
" <td>ARG</td>\n",
" <td>Argentina</td>\n",
" <td>Latin America and the Caribbean</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>231.075000</td>\n",
" <td>56.979000</td>\n",
" <td>(POLYGON ((-73.5605371 -49.9424656, -73.560483...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>454</th>\n",
" <td>36</td>\n",
" <td>AUS</td>\n",
" <td>Australia</td>\n",
" <td>Australia and New Zealand</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1706.255649</td>\n",
" <td>241.778480</td>\n",
" <td>(POLYGON ((72.24619319999999 -53.020726, 72.24...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>455</th>\n",
" <td>40</td>\n",
" <td>AUT</td>\n",
" <td>Austria</td>\n",
" <td>Europe</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>2647.636952</td>\n",
" <td>179.920651</td>\n",
" <td>(POLYGON ((10.4544399 47.5557964, 10.454028 47...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>456</th>\n",
" <td>50</td>\n",
" <td>BGD</td>\n",
" <td>Bangladesh</td>\n",
" <td>Central and Southern Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1.160000</td>\n",
" <td>0.372000</td>\n",
" <td>(POLYGON ((88.007915 24.6678238, 88.0150592 24...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Exporter M.49 Exporter ISO3 Exporter \\\n",
"452 31 AZE Azerbaijan \n",
"453 32 ARG Argentina \n",
"454 36 AUS Australia \n",
"455 40 AUT Austria \n",
"456 50 BGD Bangladesh \n",
"\n",
" Exporter region Resource Year Value (1000USD) \\\n",
"452 Northern Africa and Western Asia Rubber and gums 2019 768.550000 \n",
"453 Latin America and the Caribbean Rubber and gums 2019 231.075000 \n",
"454 Australia and New Zealand Rubber and gums 2019 1706.255649 \n",
"455 Europe Rubber and gums 2019 2647.636952 \n",
"456 Central and Southern Asia Rubber and gums 2019 1.160000 \n",
"\n",
" Weight (1000kg) Geometry \n",
"452 117.800000 (POLYGON ((44.7633701 39.7048253, 44.7635589 3... \n",
"453 56.979000 (POLYGON ((-73.5605371 -49.9424656, -73.560483... \n",
"454 241.778480 (POLYGON ((72.24619319999999 -53.020726, 72.24... \n",
"455 179.920651 (POLYGON ((10.4544399 47.5557964, 10.454028 47... \n",
"456 0.372000 (POLYGON ((88.007915 24.6678238, 88.0150592 24... "
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#append geometry to gdf\n",
"df_imports_2019['Geometry'] = geometry_list\n",
"df_imports_2019.head()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "0a2f32d0",
"metadata": {},
"outputs": [
{
"data": {
"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>Exporter M.49</th>\n",
" <th>Exporter ISO3</th>\n",
" <th>Exporter</th>\n",
" <th>Exporter region</th>\n",
" <th>Resource</th>\n",
" <th>Year</th>\n",
" <th>Value (1000USD)</th>\n",
" <th>Weight (1000kg)</th>\n",
" <th>Geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>519</th>\n",
" <td>490</td>\n",
" <td>NaN</td>\n",
" <td>Other Asia, nes</td>\n",
" <td>NaN</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>205365.910998</td>\n",
" <td>76504.797457</td>\n",
" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>569</th>\n",
" <td>899</td>\n",
" <td>NaN</td>\n",
" <td>Areas, nes</td>\n",
" <td>NaN</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>28998.563000</td>\n",
" <td>6070.359000</td>\n",
" <td>None</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Exporter M.49 Exporter ISO3 Exporter Exporter region \\\n",
"519 490 NaN Other Asia, nes NaN \n",
"569 899 NaN Areas, nes NaN \n",
"\n",
" Resource Year Value (1000USD) Weight (1000kg) Geometry \n",
"519 Rubber and gums 2019 205365.910998 76504.797457 None \n",
"569 Rubber and gums 2019 28998.563000 6070.359000 None "
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_imports_2019[df_imports_2019['Geometry']=='None']"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "bb17d99d",
"metadata": {},
"outputs": [
{
"data": {
"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>Exporter M.49</th>\n",
" <th>Exporter ISO3</th>\n",
" <th>Exporter</th>\n",
" <th>Exporter region</th>\n",
" <th>Resource</th>\n",
" <th>Year</th>\n",
" <th>Value (1000USD)</th>\n",
" <th>Weight (1000kg)</th>\n",
" <th>Geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>452</th>\n",
" <td>31</td>\n",
" <td>AZE</td>\n",
" <td>Azerbaijan</td>\n",
" <td>Northern Africa and Western Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>768.550000</td>\n",
" <td>117.800000</td>\n",
" <td>(POLYGON ((44.7633701 39.7048253, 44.7635589 3...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>453</th>\n",
" <td>32</td>\n",
" <td>ARG</td>\n",
" <td>Argentina</td>\n",
" <td>Latin America and the Caribbean</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>231.075000</td>\n",
" <td>56.979000</td>\n",
" <td>(POLYGON ((-73.5605371 -49.9424656, -73.560483...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>454</th>\n",
" <td>36</td>\n",
" <td>AUS</td>\n",
" <td>Australia</td>\n",
" <td>Australia and New Zealand</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1706.255649</td>\n",
" <td>241.778480</td>\n",
" <td>(POLYGON ((72.24619319999999 -53.020726, 72.24...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>455</th>\n",
" <td>40</td>\n",
" <td>AUT</td>\n",
" <td>Austria</td>\n",
" <td>Europe</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>2647.636952</td>\n",
" <td>179.920651</td>\n",
" <td>(POLYGON ((10.4544399 47.5557964, 10.454028 47...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>456</th>\n",
" <td>50</td>\n",
" <td>BGD</td>\n",
" <td>Bangladesh</td>\n",
" <td>Central and Southern Asia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1.160000</td>\n",
" <td>0.372000</td>\n",
" <td>(POLYGON ((88.007915 24.6678238, 88.0150592 24...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Exporter M.49 Exporter ISO3 Exporter \\\n",
"452 31 AZE Azerbaijan \n",
"453 32 ARG Argentina \n",
"454 36 AUS Australia \n",
"455 40 AUT Austria \n",
"456 50 BGD Bangladesh \n",
"\n",
" Exporter region Resource Year Value (1000USD) \\\n",
"452 Northern Africa and Western Asia Rubber and gums 2019 768.550000 \n",
"453 Latin America and the Caribbean Rubber and gums 2019 231.075000 \n",
"454 Australia and New Zealand Rubber and gums 2019 1706.255649 \n",
"455 Europe Rubber and gums 2019 2647.636952 \n",
"456 Central and Southern Asia Rubber and gums 2019 1.160000 \n",
"\n",
" Weight (1000kg) Geometry \n",
"452 117.800000 (POLYGON ((44.7633701 39.7048253, 44.7635589 3... \n",
"453 56.979000 (POLYGON ((-73.5605371 -49.9424656, -73.560483... \n",
"454 241.778480 (POLYGON ((72.24619319999999 -53.020726, 72.24... \n",
"455 179.920651 (POLYGON ((10.4544399 47.5557964, 10.454028 47... \n",
"456 0.372000 (POLYGON ((88.007915 24.6678238, 88.0150592 24... "
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#remove no valid geoms (the none)\n",
"df_imports_2019 = df_imports_2019[df_imports_2019['Geometry']!='None']\n",
"df_imports_2019.head()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "20184586",
"metadata": {},
"outputs": [],
"source": [
"#set geometry to gdf\n",
"df_imports_2019 = df_imports_2019.set_geometry('Geometry')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "bcc61896",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fed7bdbf400>"
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"\n",
"df_imports_2019.plot()"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "d7aec847",
"metadata": {},
"outputs": [],
"source": [
"df_imports_2019 = df_imports_2019[['Exporter ISO3', 'Exporter','Resource', 'Year', 'Value (1000USD)', 'Weight (1000kg)', 'Geometry' ]]"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "401fb123",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"<ipython-input-73-f3ff2d21cc6f>:5: UserWarning: Column names longer than 10 characters will be truncated when saved to ESRI Shapefile.\n",
" gdf_polygon.to_file(\n",
"<ipython-input-73-f3ff2d21cc6f>:9: UserWarning: Column names longer than 10 characters will be truncated when saved to ESRI Shapefile.\n",
" gdf_point.to_file(\n"
]
}
],
"source": [
"#split geolocated data by polygon and points for saving\n",
"gdf_polygon = df_imports_2019[df_imports_2019['Geometry'].apply(lambda x : x.type!='Point' )]\n",
"gdf_point = df_imports_2019[df_imports_2019['Geometry'].apply(lambda x : x.type=='Point' )]\n",
"\n",
"gdf_polygon.to_file(\n",
" '../Processed_data/china_2019_rubber_imports_polygon.shp',\n",
" driver='ESRI Shapefile',\n",
")\n",
"gdf_point.to_file(\n",
" '../Processed_data/china_2019_rubber_imports_point.shp',\n",
" driver='ESRI Shapefile',\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 79,
"id": "176ae0b8",
"metadata": {},
"outputs": [],
"source": [
"gdf_polygon.sort_values(\n",
" 'Value (1000USD)',\n",
" ascending=False,\n",
" inplace = True\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "b73420a6",
"metadata": {},
"outputs": [
{
"data": {
"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>Exporter ISO3</th>\n",
" <th>Exporter</th>\n",
" <th>Resource</th>\n",
" <th>Year</th>\n",
" <th>Value (1000USD)</th>\n",
" <th>Weight (1000kg)</th>\n",
" <th>Geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>554</th>\n",
" <td>THA</td>\n",
" <td>Thailand</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>3.778854e+06</td>\n",
" <td>2.449936e+06</td>\n",
" <td>MULTIPOLYGON (((97.34381 18.57614, 97.34393 18...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>545</th>\n",
" <td>VNM</td>\n",
" <td>Vietnam</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1.556487e+06</td>\n",
" <td>1.154197e+06</td>\n",
" <td>MULTIPOLYGON (((102.14403 22.40067, 102.14506 ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>515</th>\n",
" <td>MYS</td>\n",
" <td>Malaysia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>1.128403e+06</td>\n",
" <td>7.870851e+05</td>\n",
" <td>MULTIPOLYGON (((98.93721 5.68384, 98.93810 5.6...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>502</th>\n",
" <td>JPN</td>\n",
" <td>Japan</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>6.738599e+05</td>\n",
" <td>2.034613e+05</td>\n",
" <td>MULTIPOLYGON (((122.71418 24.44983, 122.71453 ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>506</th>\n",
" <td>KOR</td>\n",
" <td>Korea, Republic</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>6.143445e+05</td>\n",
" <td>3.536981e+05</td>\n",
" <td>MULTIPOLYGON (((124.37273 37.90986, 124.41105 ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>496</th>\n",
" <td>IDN</td>\n",
" <td>Indonesia</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>5.015793e+05</td>\n",
" <td>2.859830e+05</td>\n",
" <td>POLYGON ((94.77171 5.79699, 94.78901 5.71208, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>565</th>\n",
" <td>USA</td>\n",
" <td>United States</td>\n",
" <td>Rubber and gums</td>\n",
" <td>2019</td>\n",
" <td>3.538147e+05</td>\n",
" <td>1.381711e+05</td>\n",
" <td>MULTIPOLYGON (((-180.00000 51.79409, -179.9926...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Exporter ISO3 Exporter Resource Year Value (1000USD) \\\n",
"554 THA Thailand Rubber and gums 2019 3.778854e+06 \n",
"545 VNM Vietnam Rubber and gums 2019 1.556487e+06 \n",
"515 MYS Malaysia Rubber and gums 2019 1.128403e+06 \n",
"502 JPN Japan Rubber and gums 2019 6.738599e+05 \n",
"506 KOR Korea, Republic Rubber and gums 2019 6.143445e+05 \n",
"496 IDN Indonesia Rubber and gums 2019 5.015793e+05 \n",
"565 USA United States Rubber and gums 2019 3.538147e+05 \n",
"\n",
" Weight (1000kg) Geometry \n",
"554 2.449936e+06 MULTIPOLYGON (((97.34381 18.57614, 97.34393 18... \n",
"545 1.154197e+06 MULTIPOLYGON (((102.14403 22.40067, 102.14506 ... \n",
"515 7.870851e+05 MULTIPOLYGON (((98.93721 5.68384, 98.93810 5.6... \n",
"502 2.034613e+05 MULTIPOLYGON (((122.71418 24.44983, 122.71453 ... \n",
"506 3.536981e+05 MULTIPOLYGON (((124.37273 37.90986, 124.41105 ... \n",
"496 2.859830e+05 POLYGON ((94.77171 5.79699, 94.78901 5.71208, ... \n",
"565 1.381711e+05 MULTIPOLYGON (((-180.00000 51.79409, -179.9926... "
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"top_exporters = gdf_polygon[0:7]\n",
"top_exporters"
]
},
{
"cell_type": "code",
"execution_count": 84,
"id": "602d7cfd",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\"