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{
"cells": [
{
"cell_type": "markdown",
"id": "5344316d-bf30-4ee7-83d1-a14e3b9250a8",
"metadata": {},
"source": [
"# Mapping Technology Sophistication\n",
"\n",
"There are a number of ways of thinking about the changing character of industrial production in different countries. One useful approach is the idea of \"technology sophistication\". In this approach a country's exports (which can be diverse) are groups according to a the complexity in terms of their requirements. This is done using a 1-to-1 mapping between different export HS codes which have been categorised according to their technology sophistication. Lall's(2000) categorisations are still used (see https://unstats.un.org/wiki/display/comtrade/Technological+classification+of+exports+by+SITC)\n",
"\n",
"Although this is an imperfect measure, it does have some power in that it can allow us to think about long running changes in makeup of exports, moving beyond shorted-run trends for specific goods.\n",
"\n",
"Below, we show some examples. We extract export data from the UN API, create the technology sophistication measure and then reflect for some selected countries\n",
"\n",
"Notes there are other cross-groupings that similar could be done on (see https://unctadstat.unctad.org/EN/Classifications.html)\n"
]
},
{
"cell_type": "markdown",
"id": "baedfcd6-1aa0-4a5f-8845-68b510a7f6d0",
"metadata": {},
"source": [
"# 1) Single year comparing across countries\n",
"\n",
"First, compare the technology sophistication measure across multiple countries"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "912dcfd3-8c6a-4a0d-b0d9-99b262f74be5",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import urllib.parse as parse\n",
"import requests\n",
"import time\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"import plotly as py\n",
"import plotly.graph_objs as go\n",
"import matplotlib.pyplot as plt\n",
"import math\n",
"import seaborn as sns\n",
"pd.options.display.max_columns = None"
]
},
{
"cell_type": "markdown",
"id": "31e4dce5-9a23-475e-adbe-e19292a60f9e",
"metadata": {},
"source": [
"## Getting data from the COMTRADE API\n",
"\n",
"COMTRADE provides a free REST API which can be used to get the data\n",
"\n",
"See https://comtrade.un.org/Data/doc/api/ for the parameters. Key parms:\n",
"- px - S3: pre-created technology sophistication table uses SITCv3 coding\n",
"- r: reporter country\n",
"- p - 0: partner country. In this case we need all to get a picture of tech sophistication\n",
"- rg - 2: Interested in exports only\n",
"- ps: the time period of interest (or all)\n",
"- fmt: output format. Will use CSV in this case"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "1b63cc56-c2cf-4a67-a003-035bfac7f23a",
"metadata": {},
"outputs": [],
"source": [
"url = \"http://comtrade.un.org/api/get?\"\n",
"url_parms = { \n",
" \"max\":\"50000\", \n",
" \"type\":\"C\",\n",
" \"freq\":\"A\",\n",
" \"px\":\"S3\",\n",
" \"ps\":\"2018\",\n",
" \"r\":\"156\",\n",
" \"p\":\"0\",\n",
" \"rg\":\"2\",\n",
" \"cc\":\"AG3\",\n",
" \"fmt\":\"csv\"}"
]
},
{
"cell_type": "markdown",
"id": "b2026ff5-8817-4bba-8d73-153221130d6c",
"metadata": {},
"source": [
"Takes a few seconds to run, because it queries the API and then pauses"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "1772bc06-c815-4555-88d4-8327448907ba",
"metadata": {},
"outputs": [],
"source": [
"# List of countries to compare with reported codes\n",
"countries = { \n",
" \"China\":\"156\",\n",
" \"Thailand\":\"764\",\n",
" \"Mexico\":\"484\",\n",
" \"India\":\"699\",\n",
" \"Vietnam\":\"704\"\n",
"}\n",
"\n",
"df = pd.DataFrame()\n",
"\n",
"for key, val in countries.items():\n",
" url_parms[\"r\"] = val\n",
" full_url = url+parse.urlencode(url_parms)\n",
" df = df.append(pd.read_csv(full_url, dtype={\"Commodity Code\": int}), ignore_index = True) #Loads the url from web and feeds it into the data frame\n",
" time.sleep(2) #Slow the loop down so it doesn't overload the API"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "bafe1942-943d-4fe3-8a74-84be5a061d46",
"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>Classification</th>\n",
" <th>Year</th>\n",
" <th>Period</th>\n",
" <th>Period Desc.</th>\n",
" <th>Aggregate Level</th>\n",
" <th>Is Leaf Code</th>\n",
" <th>Trade Flow Code</th>\n",
" <th>Trade Flow</th>\n",
" <th>Reporter Code</th>\n",
" <th>Reporter</th>\n",
" <th>Reporter ISO</th>\n",
" <th>Partner Code</th>\n",
" <th>Partner</th>\n",
" <th>Partner ISO</th>\n",
" <th>2nd Partner Code</th>\n",
" <th>2nd Partner</th>\n",
" <th>2nd Partner ISO</th>\n",
" <th>Customs Proc. Code</th>\n",
" <th>Customs</th>\n",
" <th>Mode of Transport Code</th>\n",
" <th>Mode of Transport</th>\n",
" <th>Commodity Code</th>\n",
" <th>Commodity</th>\n",
" <th>Qty Unit Code</th>\n",
" <th>Qty Unit</th>\n",
" <th>Qty</th>\n",
" <th>Alt Qty Unit Code</th>\n",
" <th>Alt Qty Unit</th>\n",
" <th>Alt Qty</th>\n",
" <th>Netweight (kg)</th>\n",
" <th>Gross weight (kg)</th>\n",
" <th>Trade Value (US$)</th>\n",
" <th>CIF Trade Value (US$)</th>\n",
" <th>FOB Trade Value (US$)</th>\n",
" <th>Flag</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>S3</td>\n",
" <td>2018</td>\n",
" <td>2018</td>\n",
" <td>2018</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Export</td>\n",
" <td>156</td>\n",
" <td>China</td>\n",
" <td>CHN</td>\n",
" <td>0</td>\n",
" <td>World</td>\n",
" <td>WLD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>LIVE ANIMALS</td>\n",
" <td>1</td>\n",
" <td>No Quantity</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>187775348.0</td>\n",
" <td>NaN</td>\n",
" <td>544085686</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>S3</td>\n",
" <td>2018</td>\n",
" <td>2018</td>\n",
" <td>2018</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Export</td>\n",
" <td>156</td>\n",
" <td>China</td>\n",
" <td>CHN</td>\n",
" <td>0</td>\n",
" <td>World</td>\n",
" <td>WLD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>11</td>\n",
" <td>BOVINE MEAT</td>\n",
" <td>8</td>\n",
" <td>Weight in kilograms</td>\n",
" <td>433664</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>433664.0</td>\n",
" <td>NaN</td>\n",
" <td>3198422</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classification Year Period Period Desc. Aggregate Level Is Leaf Code \\\n",
"0 S3 2018 2018 2018 3 0 \n",
"1 S3 2018 2018 2018 3 0 \n",
"\n",
" Trade Flow Code Trade Flow Reporter Code Reporter Reporter ISO \\\n",
"0 2 Export 156 China CHN \n",
"1 2 Export 156 China CHN \n",
"\n",
" Partner Code Partner Partner ISO 2nd Partner Code 2nd Partner \\\n",
"0 0 World WLD NaN NaN \n",
"1 0 World WLD NaN NaN \n",
"\n",
" 2nd Partner ISO Customs Proc. Code Customs Mode of Transport Code \\\n",
"0 NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN \n",
"\n",
" Mode of Transport Commodity Code Commodity Qty Unit Code \\\n",
"0 NaN 1 LIVE ANIMALS 1 \n",
"1 NaN 11 BOVINE MEAT 8 \n",
"\n",
" Qty Unit Qty Alt Qty Unit Code Alt Qty Unit Alt Qty \\\n",
"0 No Quantity 0 NaN NaN NaN \n",
"1 Weight in kilograms 433664 NaN NaN NaN \n",
"\n",
" Netweight (kg) Gross weight (kg) Trade Value (US$) \\\n",
"0 187775348.0 NaN 544085686 \n",
"1 433664.0 NaN 3198422 \n",
"\n",
" CIF Trade Value (US$) FOB Trade Value (US$) Flag \n",
"0 NaN NaN 4 \n",
"1 NaN NaN 0 "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head(2)"
]
},
{
"cell_type": "markdown",
"id": "f63d30e9-baaa-40cf-be0d-22e9c8146bf8",
"metadata": {},
"source": [
"## Getting data about tech sophistication\n",
"\n",
"Here I'm using a modified version of https://unctadstat.unctad.org/EN/Classifications/DimSitcRev3Products_Ldc_Hierarchy.xlshttps://unctadstat.unctad.org/EN/Classifications/DimSitcRev3Products_Ldc_Hierarchy.xls which extracts the core info into a CSV file\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "7eb2b2cf-4b22-4f92-8d32-23b90305e73b",
"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>Tech Soph</th>\n",
" <th>Tech Soph Code</th>\n",
" <th>Commodity Code</th>\n",
" <th>Classification</th>\n",
" <th>Label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>PRI</td>\n",
" <td>LDC01</td>\n",
" <td>1</td>\n",
" <td>S3</td>\n",
" <td>Live animals other than animals of division 03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>PRI</td>\n",
" <td>LDC01</td>\n",
" <td>11</td>\n",
" <td>S3</td>\n",
" <td>Meat of bovine animals, fresh, chilled or frozen</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Tech Soph Tech Soph Code Commodity Code Classification \\\n",
"0 PRI LDC01 1 S3 \n",
"1 PRI LDC01 11 S3 \n",
"\n",
" Label \n",
"0 Live animals other than animals of division 03 \n",
"1 Meat of bovine animals, fresh, chilled or frozen "
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cat = pd.read_csv(\"tech_categories.csv\")\n",
"cat.rename(columns={\"Code\": \"Commodity Code\", \"Type\": \"Tech Soph Code\"}, inplace=True)\n",
"cat.head(2)"
]
},
{
"cell_type": "markdown",
"id": "6ed6c680-e959-44bb-9688-5c6bd6437509",
"metadata": {},
"source": [
"## Merging and aggregating\n",
"\n",
"Merge so that each commodity code of df1 is then given a tech sophistication group "
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "cf952d4d-c79e-4d5d-9562-a4ae7300324e",
"metadata": {},
"outputs": [],
"source": [
"df2 = pd.merge(df, cat[['Commodity Code','Tech Soph Code', 'Tech Soph', 'Classification']], on=['Commodity Code', 'Classification'])"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "37a50908-d4fc-42ab-94f8-37e44538b765",
"metadata": {},
"outputs": [],
"source": [
"# Sum by tech soph\n",
"tech_soph = df2.groupby(['Reporter Code', 'Tech Soph', 'Trade Flow Code'], as_index=False).agg({'Trade Value (US$)':'sum', 'Reporter':'first', 'Trade Flow':'first'})\n",
"\n",
"# Summing over the flow code so we can calculate a percentage\n",
"flow_sums = df2.groupby(['Reporter Code', 'Trade Flow Code'], as_index=False).agg({'Trade Value (US$)':'sum', 'Reporter':'first', 'Trade Flow':'first'})\n",
"flow_sums.rename(columns={\"Trade Value (US$)\": \"Total Value for Trade Flow (US$)\"}, inplace=True)\n",
"\n",
"# This adds the sum to the tech soph df \n",
"tech_soph = pd.merge(tech_soph, flow_sums[['Total Value for Trade Flow (US$)', 'Reporter Code', 'Trade Flow Code']], on=['Reporter Code', 'Trade Flow Code'])\n",
"tech_soph['Trade pc'] = round(tech_soph['Trade Value (US$)'] * 100 / tech_soph['Total Value for Trade Flow (US$)'],1)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "f1b57882-6a95-4834-bfeb-7ad735065f30",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Reporter Code</th>\n",
" <th>Tech Soph</th>\n",
" <th>Trade Flow Code</th>\n",
" <th>Trade Value (US$)</th>\n",
" <th>Reporter</th>\n",
" <th>Trade Flow</th>\n",
" <th>Total Value for Trade Flow (US$)</th>\n",
" <th>Trade pc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>156</td>\n",
" <td>HIG</td>\n",
" <td>2</td>\n",
" <td>836852875650</td>\n",
" <td>China</td>\n",
" <td>Export</td>\n",
" <td>2481332192938</td>\n",
" <td>33.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>156</td>\n",
" <td>LOW</td>\n",
" <td>2</td>\n",
" <td>710030713004</td>\n",
" <td>China</td>\n",
" <td>Export</td>\n",
" <td>2481332192938</td>\n",
" <td>28.6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Reporter Code Tech Soph Trade Flow Code Trade Value (US$) Reporter \\\n",
"0 156 HIG 2 836852875650 China \n",
"1 156 LOW 2 710030713004 China \n",
"\n",
" Trade Flow Total Value for Trade Flow (US$) Trade pc \n",
"0 Export 2481332192938 33.7 \n",
"1 Export 2481332192938 28.6 "
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tech_soph.head(2)"
]
},
{
"cell_type": "markdown",
"id": "0f337c32-4404-464d-8140-3d6b26abf109",
"metadata": {},
"source": [
"## Show as a graph"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "8a59b760-7a20-4d71-ae19-fc1a8917e41b",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.set_color_codes(\"muted\")\n",
"sns.set(style=\"whitegrid\")\n",
"\n",
"order=['PRI','RES','LOW','MED','HIG']\n",
"\n",
"sns.barplot(x=\"Tech Soph\", y=\"Trade pc\", hue=\"Reporter\", data=tech_soph, order=order)\n",
"sns.despine(left=True, bottom=True)\n",
"plt.tight_layout(h_pad=20)\n"
]
},
{
"cell_type": "markdown",
"id": "fd304607-0973-4ee9-96cc-dc8f98aadf94",
"metadata": {},
"source": [
"## Show as a table"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "932da035-5bec-491d-8e8d-6d06d3f616e7",
"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>Tech Soph</th>\n",
" <th>PRI</th>\n",
" <th>RES</th>\n",
" <th>LOW</th>\n",
" <th>MED</th>\n",
" <th>HIG</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Reporter</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Viet Nam</th>\n",
" <td>11.8</td>\n",
" <td>7.0</td>\n",
" <td>32.7</td>\n",
" <td>10.4</td>\n",
" <td>38.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>China</th>\n",
" <td>3.0</td>\n",
" <td>9.1</td>\n",
" <td>28.6</td>\n",
" <td>25.4</td>\n",
" <td>33.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mexico</th>\n",
" <td>11.6</td>\n",
" <td>7.3</td>\n",
" <td>8.9</td>\n",
" <td>49.0</td>\n",
" <td>22.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Thailand</th>\n",
" <td>9.5</td>\n",
" <td>22.2</td>\n",
" <td>11.0</td>\n",
" <td>36.3</td>\n",
" <td>19.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>India</th>\n",
" <td>12.6</td>\n",
" <td>34.4</td>\n",
" <td>21.9</td>\n",
" <td>21.9</td>\n",
" <td>9.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Tech Soph PRI RES LOW MED HIG\n",
"Reporter \n",
"Viet Nam 11.8 7.0 32.7 10.4 38.1\n",
"China 3.0 9.1 28.6 25.4 33.7\n",
"Mexico 11.6 7.3 8.9 49.0 22.2\n",
"Thailand 9.5 22.2 11.0 36.3 19.2\n",
"India 12.6 34.4 21.9 21.9 9.0"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pivot = tech_soph.pivot(index='Reporter', columns='Tech Soph', values='Trade pc')\n",
"pivot = pivot.sort_values(['HIG'], ascending=False)\n",
"pivot = pivot.reindex(order, axis=1)\n",
"display(pivot)"
]
},
{
"cell_type": "markdown",
"id": "27adf47d-8246-4a6c-a824-9ff166380292",
"metadata": {},
"source": [
"# 2) Single country evolution\n",
"\n",
"Although the above is useful in a comparison of specific countries at a point in time, it might be useful to think about this over a longer time period. \n",
"\n",
"In the below we look at a single country over time. We select China given the common discussions about if they are upgrading their economy or not"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "d7e022b8-e6cc-4489-8970-df8e0fa0173d",
"metadata": {},
"outputs": [],
"source": [
"url = \"http://comtrade.un.org/api/get?\"\n",
"url_parms = { \n",
" \"max\":\"50000\", \n",
" \"type\":\"C\",\n",
" \"freq\":\"A\",\n",
" \"px\":\"S3\",\n",
" \"ps\":\"all\", #all times\n",
" \"r\":\"156\", #China\n",
" \"p\":\"0\",\n",
" \"rg\":\"2\",\n",
" \"cc\":\"AG3\",\n",
" \"fmt\":\"csv\"}\n",
"\n",
"full_url= url+parse.urlencode(url_parms)\n",
"df_time = pd.read_csv(full_url, dtype={\"Commodity Code\": int})"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "e9bec30e-5a5a-427d-bc8c-a45a847ae78b",
"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>Classification</th>\n",
" <th>Year</th>\n",
" <th>Period</th>\n",
" <th>Period Desc.</th>\n",
" <th>Aggregate Level</th>\n",
" <th>Is Leaf Code</th>\n",
" <th>Trade Flow Code</th>\n",
" <th>Trade Flow</th>\n",
" <th>Reporter Code</th>\n",
" <th>Reporter</th>\n",
" <th>Reporter ISO</th>\n",
" <th>Partner Code</th>\n",
" <th>Partner</th>\n",
" <th>Partner ISO</th>\n",
" <th>2nd Partner Code</th>\n",
" <th>2nd Partner</th>\n",
" <th>2nd Partner ISO</th>\n",
" <th>Customs Proc. Code</th>\n",
" <th>Customs</th>\n",
" <th>Mode of Transport Code</th>\n",
" <th>Mode of Transport</th>\n",
" <th>Commodity Code</th>\n",
" <th>Commodity</th>\n",
" <th>Qty Unit Code</th>\n",
" <th>Qty Unit</th>\n",
" <th>Qty</th>\n",
" <th>Alt Qty Unit Code</th>\n",
" <th>Alt Qty Unit</th>\n",
" <th>Alt Qty</th>\n",
" <th>Netweight (kg)</th>\n",
" <th>Gross weight (kg)</th>\n",
" <th>Trade Value (US$)</th>\n",
" <th>CIF Trade Value (US$)</th>\n",
" <th>FOB Trade Value (US$)</th>\n",
" <th>Flag</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>S3</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Export</td>\n",
" <td>156</td>\n",
" <td>China</td>\n",
" <td>CHN</td>\n",
" <td>0</td>\n",
" <td>World</td>\n",
" <td>WLD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>LIVE ANIMALS</td>\n",
" <td>5</td>\n",
" <td>Number of items</td>\n",
" <td>123794792.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>479078082</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>S3</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Export</td>\n",
" <td>156</td>\n",
" <td>China</td>\n",
" <td>CHN</td>\n",
" <td>0</td>\n",
" <td>World</td>\n",
" <td>WLD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>11</td>\n",
" <td>BOVINE MEAT</td>\n",
" <td>8</td>\n",
" <td>Weight in kilograms</td>\n",
" <td>24446860.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>24446860.0</td>\n",
" <td>NaN</td>\n",
" <td>38845402</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classification Year Period Period Desc. Aggregate Level Is Leaf Code \\\n",
"0 S3 1992 1992 1992 3 0 \n",
"1 S3 1992 1992 1992 3 0 \n",
"\n",
" Trade Flow Code Trade Flow Reporter Code Reporter Reporter ISO \\\n",
"0 2 Export 156 China CHN \n",
"1 2 Export 156 China CHN \n",
"\n",
" Partner Code Partner Partner ISO 2nd Partner Code 2nd Partner \\\n",
"0 0 World WLD NaN NaN \n",
"1 0 World WLD NaN NaN \n",
"\n",
" 2nd Partner ISO Customs Proc. Code Customs Mode of Transport Code \\\n",
"0 NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN \n",
"\n",
" Mode of Transport Commodity Code Commodity Qty Unit Code \\\n",
"0 NaN 1 LIVE ANIMALS 5 \n",
"1 NaN 11 BOVINE MEAT 8 \n",
"\n",
" Qty Unit Qty Alt Qty Unit Code Alt Qty Unit Alt Qty \\\n",
"0 Number of items 123794792.0 NaN NaN NaN \n",
"1 Weight in kilograms 24446860.0 NaN NaN NaN \n",
"\n",
" Netweight (kg) Gross weight (kg) Trade Value (US$) \\\n",
"0 0.0 NaN 479078082 \n",
"1 24446860.0 NaN 38845402 \n",
"\n",
" CIF Trade Value (US$) FOB Trade Value (US$) Flag \n",
"0 NaN NaN 0 \n",
"1 NaN NaN 0 "
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_time.head(2)"
]
},
{
"cell_type": "markdown",
"id": "dde3e986-0178-47bb-9bd1-bcdbfe1e7fb7",
"metadata": {},
"source": [
"Applying tech sophistication and aggregating"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "209caeb3-9e08-48d3-96fb-a250ba72e9a2",
"metadata": {},
"outputs": [],
"source": [
"df_time = df_time[(df_time['Period'] > 1999) & (df_time['Period'] < 2020) ] #Use only data available to 2019\n",
"df2_time = pd.merge(df_time, cat[['Commodity Code','Tech Soph Code', 'Tech Soph', 'Classification']], on=['Commodity Code', 'Classification']) #Add tech sophistication"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "b299de58-e631-4317-832b-4aef39bca7b0",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Period</th>\n",
" <th>Tech Soph</th>\n",
" <th>Trade Flow Code</th>\n",
" <th>Trade Value (US$)</th>\n",
" <th>Trade Flow</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2000</td>\n",
" <td>HIG</td>\n",
" <td>2</td>\n",
" <td>55764560182</td>\n",
" <td>Export</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2000</td>\n",
" <td>LOW</td>\n",
" <td>2</td>\n",
" <td>102945815499</td>\n",
" <td>Export</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Period Tech Soph Trade Flow Code Trade Value (US$) Trade Flow\n",
"0 2000 HIG 2 55764560182 Export\n",
"1 2000 LOW 2 102945815499 Export"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Aggregate tech soph sums over time\n",
"tech_soph_time = df2_time.groupby(['Period', 'Tech Soph', 'Trade Flow Code'], as_index=False).agg({'Trade Value (US$)':'sum', 'Trade Flow':'first'})\n",
"tech_soph_time.head(2)"
]
},
{
"cell_type": "markdown",
"id": "c5cfad33-f8ee-4fc5-92a3-c03542ba9a2b",
"metadata": {},
"source": [
"Aggregating by year so we can calculate figures as a percentage of the year"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "a0e502dd-e2c2-463c-8f8a-0b00f58fbdad",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\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>Period</th>\n",
" <th>Trade Flow Code</th>\n",
" <th>Total Value for Year (US$)</th>\n",
" <th>Trade Flow</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2000</td>\n",
" <td>2</td>\n",
" <td>248689015456</td>\n",
" <td>Export</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2001</td>\n",
" <td>2</td>\n",
" <td>265524291049</td>\n",
" <td>Export</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Period Trade Flow Code Total Value for Year (US$) Trade Flow\n",
"0 2000 2 248689015456 Export\n",
"1 2001 2 265524291049 Export"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"year_sums = df2_time.groupby(['Period', 'Trade Flow Code' ], as_index=False).agg({'Trade Value (US$)':'sum', 'Trade Flow':'first'})\n",
"year_sums.rename(columns={\"Trade Value (US$)\": \"Total Value for Year (US$)\"}, inplace=True)\n",
"year_sums.head(2)"
]
},
{
"cell_type": "markdown",
"id": "e5e38f87-7675-40b5-8c09-dbee14c2ff94",
"metadata": {},
"source": [
"Merging frames and then creating a tabulated table of % distribtion over time"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "dc165a68-808a-4a98-a3d0-37522bf2ebc4",
"metadata": {},
"outputs": [],
"source": [
"merged_time = pd.merge(tech_soph_time, year_sums[['Total Value for Year (US$)', 'Period', 'Trade Flow Code']], on=['Period', 'Trade Flow Code'])\n",
"merged_time['Trade pc'] = round(merged_time['Trade Value (US$)'] * 100 / merged_time['Total Value for Year (US$)'],1)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "f4945598-68b4-4ecf-91c2-7508253be0cb",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<style scoped>\n",
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"\n",
" .dataframe thead th {\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Period</th>\n",
" <th>2000</th>\n",
" <th>2001</th>\n",
" <th>2002</th>\n",
" <th>2003</th>\n",
" <th>2004</th>\n",
" <th>2005</th>\n",
" <th>2006</th>\n",
" <th>2007</th>\n",
" <th>2008</th>\n",
" <th>2009</th>\n",
" <th>2010</th>\n",
" <th>2011</th>\n",
" <th>2012</th>\n",
" <th>2013</th>\n",
" <th>2014</th>\n",
" <th>2015</th>\n",
" <th>2016</th>\n",
" <th>2017</th>\n",
" <th>2018</th>\n",
" <th>2019</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Tech Soph</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>HIG</th>\n",
" <td>22.4</td>\n",
" <td>24.0</td>\n",
" <td>26.9</td>\n",
" <td>30.4</td>\n",
" <td>32.5</td>\n",
" <td>33.3</td>\n",
" <td>33.8</td>\n",
" <td>33.6</td>\n",
" <td>32.3</td>\n",
" <td>34.6</td>\n",
" <td>34.9</td>\n",
" <td>32.8</td>\n",
" <td>33.0</td>\n",
" <td>33.5</td>\n",
" <td>32.0</td>\n",
" <td>32.5</td>\n",
" <td>32.6</td>\n",
" <td>33.4</td>\n",
" <td>33.7</td>\n",
" <td>33.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LOW</th>\n",
" <td>41.4</td>\n",
" <td>39.7</td>\n",
" <td>38.2</td>\n",
" <td>35.2</td>\n",
" <td>32.7</td>\n",
" <td>31.7</td>\n",
" <td>31.6</td>\n",
" <td>31.4</td>\n",
" <td>30.9</td>\n",
" <td>30.2</td>\n",
" <td>29.5</td>\n",
" <td>30.3</td>\n",
" <td>31.3</td>\n",
" <td>31.5</td>\n",
" <td>32.4</td>\n",
" <td>31.5</td>\n",
" <td>30.9</td>\n",
" <td>29.8</td>\n",
" <td>28.6</td>\n",
" <td>29.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MED</th>\n",
" <td>19.6</td>\n",
" <td>19.9</td>\n",
" <td>19.9</td>\n",
" <td>20.5</td>\n",
" <td>21.6</td>\n",
" <td>22.0</td>\n",
" <td>22.1</td>\n",
" <td>23.1</td>\n",
" <td>24.5</td>\n",
" <td>23.7</td>\n",
" <td>23.9</td>\n",
" <td>24.6</td>\n",
" <td>24.2</td>\n",
" <td>23.5</td>\n",
" <td>24.0</td>\n",
" <td>24.7</td>\n",
" <td>24.8</td>\n",
" <td>25.0</td>\n",
" <td>25.4</td>\n",
" <td>25.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NC</th>\n",
" <td>0.4</td>\n",
" <td>0.5</td>\n",
" <td>0.4</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.4</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" <td>0.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PRI</th>\n",
" <td>7.3</td>\n",
" <td>6.9</td>\n",
" <td>6.1</td>\n",
" <td>5.5</td>\n",
" <td>4.7</td>\n",
" <td>4.4</td>\n",
" <td>4.2</td>\n",
" <td>3.6</td>\n",
" <td>3.5</td>\n",
" <td>3.4</td>\n",
" <td>3.3</td>\n",
" <td>3.4</td>\n",
" <td>3.1</td>\n",
" <td>3.0</td>\n",
" <td>3.0</td>\n",
" <td>3.0</td>\n",
" <td>3.2</td>\n",
" <td>3.1</td>\n",
" <td>3.0</td>\n",
" <td>2.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RES</th>\n",
" <td>8.8</td>\n",
" <td>8.9</td>\n",
" <td>8.5</td>\n",
" <td>8.1</td>\n",
" <td>8.2</td>\n",
" <td>8.3</td>\n",
" <td>8.0</td>\n",
" <td>8.0</td>\n",
" <td>8.6</td>\n",
" <td>7.8</td>\n",
" <td>8.0</td>\n",
" <td>8.5</td>\n",
" <td>8.2</td>\n",
" <td>8.2</td>\n",
" <td>8.3</td>\n",
" <td>7.9</td>\n",
" <td>8.1</td>\n",
" <td>8.5</td>\n",
" <td>9.1</td>\n",
" <td>8.9</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Period 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 \\\n",
"Tech Soph \n",
"HIG 22.4 24.0 26.9 30.4 32.5 33.3 33.8 33.6 32.3 34.6 34.9 \n",
"LOW 41.4 39.7 38.2 35.2 32.7 31.7 31.6 31.4 30.9 30.2 29.5 \n",
"MED 19.6 19.9 19.9 20.5 21.6 22.0 22.1 23.1 24.5 23.7 23.9 \n",
"NC 0.4 0.5 0.4 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 \n",
"PRI 7.3 6.9 6.1 5.5 4.7 4.4 4.2 3.6 3.5 3.4 3.3 \n",
"RES 8.8 8.9 8.5 8.1 8.2 8.3 8.0 8.0 8.6 7.8 8.0 \n",
"\n",
"Period 2011 2012 2013 2014 2015 2016 2017 2018 2019 \n",
"Tech Soph \n",
"HIG 32.8 33.0 33.5 32.0 32.5 32.6 33.4 33.7 33.2 \n",
"LOW 30.3 31.3 31.5 32.4 31.5 30.9 29.8 28.6 29.1 \n",
"MED 24.6 24.2 23.5 24.0 24.7 24.8 25.0 25.4 25.6 \n",
"NC 0.3 0.3 0.3 0.3 0.4 0.3 0.3 0.3 0.3 \n",
"PRI 3.4 3.1 3.0 3.0 3.0 3.2 3.1 3.0 2.9 \n",
"RES 8.5 8.2 8.2 8.3 7.9 8.1 8.5 9.1 8.9 "
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"piv = merged_time.pivot(index ='Period', columns = 'Tech Soph', values = \"Trade pc\")\n",
"piv.transpose()"
]
},
{
"cell_type": "markdown",
"id": "680e57f7-3e07-47ad-9e5c-2041f19acba2",
"metadata": {},
"source": [
"This is okay, but would be better a graph. As below we set up three graphs\n",
"- A stacked percentage graph of changing sophistication\n",
"- An unstacked graph (useful for looking at specific categories)\n",
"- A non-normalised graph - showing the overall growth of all categories "
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "42bdc01a-e91b-4eeb-80ad-c492dfe24531",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.ticker as mticker\n",
"sns.set_theme()\n",
"sns.set_color_codes(\"muted\")\n",
"sns.set(style=\"whitegrid\")\n",
"axpad = 10\n",
"growfont = 13\n",
"\n",
"\n",
"order=['PRI','RES','LOW','MED','HIG']\n",
"order_pretty= ['Resource', 'Primary', 'Low', 'Medium', 'High']\n",
"\n",
"#==Percentage graph\n",
"plot = piv[order].plot(title='China export sophistication 00-20 (% of exports)', kind='area', figsize=(10,4), stacked=True, alpha=.6)\n",
"plot.set_ylabel(\"% of exports\")\n",
"plot.legend(order_pretty, title='Level of sophistication', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
"\n",
"#Integers on x axis\n",
"xa = plot.get_xaxis()\n",
"xa.set_major_locator(mticker.MultipleLocator(5))\n",
"\n",
"#==Percentage graph (unstacked)\n",
"plot = piv[order].plot(title='China export sophistication 00-20 (% of exports)', kind='line', figsize=(10,4), linewidth=4.0 )\n",
"\n",
"plot.set_ylabel(\"% of exports\")\n",
"plot.legend(order_pretty, title='Level of sophistication', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
"\n",
"#Integers on x axis\n",
"xa = plot.get_xaxis()\n",
"xa.set_major_locator(mticker.MultipleLocator(5))\n",
"\n",
"#==Value graph\n",
"plot = merged_time.pivot(index ='Period', columns = 'Tech Soph', values = \"Trade Value (US$)\").plot(title='China export sophistication 00-20', kind='line', figsize=(10,4), stacked=False, alpha=1, linewidth=4.0)\n",
"xa = plot.get_xaxis()\n",
"xa.set_major_locator(mticker.MultipleLocator(5))\n",
"\n",
"plot.set_ylabel(\"$ exports\")\n",
"plot.legend(title='Level of sophistication', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
"\n",
"sns.despine(left=True, bottom=True)\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "c8b64ecc-d086-47f2-922b-20b3c7692fa5",
"metadata": {},
"source": [
"# 3) Evolution over multiple countries\n",
"\n",
"Combining the two above approaches to allow a comparative graph over multiple countries"
]
},
{
"cell_type": "markdown",
"id": "76f89421-187f-4e78-a138-8f34791617e0",
"metadata": {},
"source": [
"Setup the template url"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "54619fb3-3345-41a1-80ec-0df9002acb5a",
"metadata": {},
"outputs": [],
"source": [
"url = \"http://comtrade.un.org/api/get?\"\n",
"url_parms = { \n",
" \"max\":\"50000\", \n",
" \"type\":\"C\",\n",
" \"freq\":\"A\",\n",
" \"px\":\"S3\",\n",
" \"ps\":\"all\", #all times\n",
" \"r\":\"156\", \n",
" \"p\":\"0\",\n",
" \"rg\":\"2\",\n",
" \"cc\":\"AG3\",\n",
" \"fmt\":\"csv\"}"
]
},
{
"cell_type": "markdown",
"id": "d265e760-68bc-4737-ad7a-071dc40ee578",
"metadata": {},
"source": [
"Querying the COMTRADE API. Quite a lot of processing so push up sleep time"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "ad5ab6ce-7d97-4dad-82cd-bdb96acd60a5",
"metadata": {},
"outputs": [],
"source": [
"# List of countries to compare with reported codes\n",
"countries = { \n",
" \"China\":\"156\",\n",
" \"Thailand\":\"764\",\n",
" \"Mexico\":\"484\",\n",
" \"India\":\"699\",\n",
" \"Vietnam\":\"704\",\n",
" \"South Africa\":\"710\",\n",
" \"Colombia\":\"170\",\n",
" \"Kenya\":\"404\"\n",
"}\n",
"\n",
"df_time = pd.DataFrame()\n",
"\n",
"for key, val in countries.items():\n",
" url_parms[\"r\"] = val\n",
" full_url = url+parse.urlencode(url_parms)\n",
" df_time = df_time.append(pd.read_csv(full_url, dtype={\"Commodity Code\": int}), ignore_index = True) #Loads the url from web and feeds it into the data frame\n",
" time.sleep(5) #Slow the loop down so it doesn't overload the API"
]
},
{
"cell_type": "code",
"execution_count": 67,
"id": "4f55687f-2940-462a-aaff-8b565a800df9",
"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>Classification</th>\n",
" <th>Year</th>\n",
" <th>Period</th>\n",
" <th>Period Desc.</th>\n",
" <th>Aggregate Level</th>\n",
" <th>Is Leaf Code</th>\n",
" <th>Trade Flow Code</th>\n",
" <th>Trade Flow</th>\n",
" <th>Reporter Code</th>\n",
" <th>Reporter</th>\n",
" <th>Reporter ISO</th>\n",
" <th>Partner Code</th>\n",
" <th>Partner</th>\n",
" <th>Partner ISO</th>\n",
" <th>2nd Partner Code</th>\n",
" <th>2nd Partner</th>\n",
" <th>2nd Partner ISO</th>\n",
" <th>Customs Proc. Code</th>\n",
" <th>Customs</th>\n",
" <th>Mode of Transport Code</th>\n",
" <th>Mode of Transport</th>\n",
" <th>Commodity Code</th>\n",
" <th>Commodity</th>\n",
" <th>Qty Unit Code</th>\n",
" <th>Qty Unit</th>\n",
" <th>Qty</th>\n",
" <th>Alt Qty Unit Code</th>\n",
" <th>Alt Qty Unit</th>\n",
" <th>Alt Qty</th>\n",
" <th>Netweight (kg)</th>\n",
" <th>Gross weight (kg)</th>\n",
" <th>Trade Value (US$)</th>\n",
" <th>CIF Trade Value (US$)</th>\n",
" <th>FOB Trade Value (US$)</th>\n",
" <th>Flag</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>S3</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Export</td>\n",
" <td>156</td>\n",
" <td>China</td>\n",
" <td>CHN</td>\n",
" <td>0</td>\n",
" <td>World</td>\n",
" <td>WLD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>LIVE ANIMALS</td>\n",
" <td>5</td>\n",
" <td>Number of items</td>\n",
" <td>123794792.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>479078082</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>S3</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>1992</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>Export</td>\n",
" <td>156</td>\n",
" <td>China</td>\n",
" <td>CHN</td>\n",
" <td>0</td>\n",
" <td>World</td>\n",
" <td>WLD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>11</td>\n",
" <td>BOVINE MEAT</td>\n",
" <td>8</td>\n",
" <td>Weight in kilograms</td>\n",
" <td>24446860.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>24446860.0</td>\n",
" <td>NaN</td>\n",
" <td>38845402</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classification Year Period Period Desc. Aggregate Level Is Leaf Code \\\n",
"0 S3 1992 1992 1992 3 0 \n",
"1 S3 1992 1992 1992 3 0 \n",
"\n",
" Trade Flow Code Trade Flow Reporter Code Reporter Reporter ISO \\\n",
"0 2 Export 156 China CHN \n",
"1 2 Export 156 China CHN \n",
"\n",
" Partner Code Partner Partner ISO 2nd Partner Code 2nd Partner \\\n",
"0 0 World WLD NaN NaN \n",
"1 0 World WLD NaN NaN \n",
"\n",
" 2nd Partner ISO Customs Proc. Code Customs Mode of Transport Code \\\n",
"0 NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN \n",
"\n",
" Mode of Transport Commodity Code Commodity Qty Unit Code \\\n",
"0 NaN 1 LIVE ANIMALS 5 \n",
"1 NaN 11 BOVINE MEAT 8 \n",
"\n",
" Qty Unit Qty Alt Qty Unit Code Alt Qty Unit Alt Qty \\\n",
"0 Number of items 123794792.0 NaN NaN NaN \n",
"1 Weight in kilograms 24446860.0 NaN NaN NaN \n",
"\n",
" Netweight (kg) Gross weight (kg) Trade Value (US$) \\\n",
"0 0.0 NaN 479078082 \n",
"1 24446860.0 NaN 38845402 \n",
"\n",
" CIF Trade Value (US$) FOB Trade Value (US$) Flag \n",
"0 NaN NaN 0 \n",
"1 NaN NaN 0 "
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_time.head(2)"
]
},
{
"cell_type": "markdown",
"id": "173aafc1-7905-476c-b110-b52f7d59f9c8",
"metadata": {},
"source": [
"Merge in tech sophistication data and then aggregate (as before)"
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "5bf3f778-30b7-4f97-83ef-30e2dd88fb83",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"df_time = df_time[(df_time['Period'] > 1999) & (df_time['Period'] < 2020) ] #Use only data available to 2019\n",
"df2_time = pd.merge(df_time, cat[['Commodity Code','Tech Soph Code', 'Tech Soph', 'Classification']], on=['Commodity Code', 'Classification'])"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "f292c8a6-c8ba-4f59-b9d7-0d4a68dd2fa4",
"metadata": {},
"outputs": [],
"source": [
"#Tech soph over time\n",
"tech_soph_time = df2_time.groupby(['Period', 'Reporter', 'Tech Soph'], as_index=False).agg({'Trade Value (US$)':'sum'})\n",
"tech_soph_time.head()\n",
"\n",
"# Summing over the year so we can calculate a percentage\n",
"year_sums = df2_time.groupby(['Period', 'Reporter'], as_index=False).agg({'Trade Value (US$)':'sum'})\n",
"year_sums.rename(columns={\"Trade Value (US$)\": \"Total Value for Year (US$)\"}, inplace=True)\n",
"year_sums.head()\n",
"\n",
"merged_time = pd.merge(tech_soph_time, year_sums, on=['Period', 'Reporter'])\n",
"merged_time['Trade pc'] = round(merged_time['Trade Value (US$)'] * 100 / merged_time['Total Value for Year (US$)'],1)"
]
},
{
"cell_type": "markdown",
"id": "2bec1e9c-09e2-4b12-9a06-37726d892164",
"metadata": {},
"source": [
"Display in a clear way. \n",
"\n",
"This uses some additional features of the graphing library to improve visualisation"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "54810066-aba9-423d-ae16-9befa748cef2",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1440x720 with 8 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.ticker as mticker\n",
"sns.set_theme()\n",
"sns.set_color_codes(\"muted\")\n",
"sns.set(style=\"whitegrid\")\n",
"axpad = 10\n",
"growfont = 13\n",
"\n",
"style = dict(size=12, color='#666')\n",
"\n",
"f, ax = plt.subplots(2, 4, figsize=(20,10))\n",
"\n",
"order=['NC','PRI','RES','LOW','MED','HIG']\n",
"order_pretty= ['n/a', 'Resource', 'Primary', 'Low', 'Medium', 'High']\n",
"\n",
"def DrawGraph(df, reporter, axis, hide_ticks=True):\n",
" piv = df[df['Reporter'] == reporter].pivot(index ='Period', columns = 'Tech Soph', values = \"Trade pc\")\n",
" plot = piv[order].plot(title=reporter, kind='area', stacked=True, alpha=.6, ax=axis, legend=False, sharex=True, sharey=True)\n",
" plot.set(xlabel = \"Period\", ylabel='')\n",
"\n",
" #Integers on x axis\n",
" xa = plot.get_xaxis()\n",
" xa.set_major_locator(mticker.MultipleLocator(5))\n",
" \n",
"def DrawPrettyLabels(axis, labels, voffset=0, hoffset=80):\n",
" #Labels for the areas rather than messy legend - put on the final grah in the series\n",
" arrow_indent = -3 #Where to draw arrow. Based on X from last values in graph\n",
" prev_line = 0\n",
" for index, line in enumerate(axis.lines):\n",
" tmp = line.get_data()\n",
" xp= tmp[0][arrow_indent]\n",
" yp= prev_line + (tmp[1][arrow_indent] - prev_line)/2\n",
" prev_line = tmp[1][arrow_indent]\n",
" axis.annotate(order_pretty[index], xy=(xp, yp), xycoords='data', xytext=(hoffset, voffset), va='center', textcoords='offset points', arrowprops=dict(ec='dimgray', arrowstyle=\"-\"), **style)\n",
"\n",
"DrawGraph(merged_time, 'China', ax[0, 0])\n",
"DrawGraph(merged_time, 'South Africa', ax[0, 1])\n",
"DrawGraph(merged_time, 'Viet Nam', ax[0, 2])\n",
"DrawGraph(merged_time, 'Mexico', ax[0, 3])\n",
"DrawGraph(merged_time, 'India', ax[1, 0])\n",
"DrawGraph(merged_time, 'Colombia', ax[1, 1])\n",
"DrawGraph(merged_time, 'Thailand', ax[1, 2])\n",
"DrawGraph(merged_time, 'Kenya', ax[1, 3])\n",
" \n",
"DrawPrettyLabels(ax[0,3], order_pretty, 5) \n",
"DrawPrettyLabels(ax[1,3], order_pretty, -5) \n",
" \n",
"f.suptitle(\"Exports % by Tech Sophistication\", fontsize=18)\n",
"#f.legend(order_pretty, title='Level of sophistication', bbox_to_anchor=(1, 1), loc='upper left')\n",
"\n",
"sns.despine(left=True, bottom=True)\n",
"plt.tight_layout()\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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