{ "cells": [ { "cell_type": "markdown", "id": "75ae486a", "metadata": { "id": "75ae486a" }, "source": [ "# Exercise Session 11 – Data visualization in Python\n", "### ENV–501 Material and Energy Flow Analysis\n", "\n", "November 21st, 2025\n", "\n", "Content updated by Jair Campfens and Léonard Léchot\n", "\n", "The goal of this exercise session is to familiarize yourself with common visualization tools used in MFA (and many other fields):\n", "\n", "1. Bar and line plots\n", "2. Plotting colored maps\n", "3. Sankey diagram for the European Union\n", "\n", "**Go through the code and try to appropriate yourself the visualization tools, such that you can use them for your own work later.**\n", "\n", "#### Sources:\n", "- [Data Eurostat](https://ec.europa.eu/eurostat/databrowser/view/env_ac_sd/default/table?lang=en)\n", "- [Eurostat Sankey diagram](https://ec.europa.eu/eurostat/cache/sankey/circular_economy/sankey.html?geos=EU27&year=2020&unit=G_T&materials=TOTAL&highlight=0&nodeDisagg=0101100100&flowDisagg=false&translateX=200&translateY=70&scale=0.7&language=EN&xyz=89&material=TOTAL)\n", "- [plotly library](https://plotly.com/python/sankey-diagram/)\n", "- [Map visualization tutorial](https://jan-46106.medium.com/plotting-maps-with-european-data-in-python-part-i-decd83837de4)\n", "- [GISCO statistical unit dataset (NUTS)](https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts21)\n" ] }, { "cell_type": "markdown", "id": "9345cd1d", "metadata": { "id": "9345cd1d" }, "source": [ "#### Install the required libraries\n", "\n", "conda install -c plotly plotly=5.11.0\n", "\n", "conda install geopandas -c conda-forge\n", "\n", "conda install seaborn -c conda-forge\n", "\n", "**plotly**: An interactive visualization library that creates web-based charts and graphs. It's particularly useful for creating interactive plots like scatter plots, bar charts, and specialized diagrams like Sankey diagrams for flow visualization.\n", "\n", "**geopandas**: Extends pandas to work with geospatial data. It combines the data manipulation capabilities of pandas with the geometric operations of shapely and the plotting capabilities of matplotlib for creating maps and spatial analysis.\n", "\n", "**seaborn**: A statistical data visualization library built on matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics with less code than matplotlib alone." ] }, { "cell_type": "code", "execution_count": 1, "id": "c588df39", "metadata": { "id": "c588df39" }, "outputs": [], "source": [ "# import the required packages\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "markdown", "id": "966a03ca", "metadata": {}, "source": [ "**QUESTION 1. Open 'env_ac_sd_spreadsheet.xlsx' in excel and take a few minutes to explore what it contains. Then load a sheet of interest in a pandas Dataframe.**" ] }, { "cell_type": "code", "execution_count": 2, "id": "b03a999d", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "b03a999d", "outputId": "b099bb50-c675-4219-e618-4653987c9dcb" }, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Exports excluding exports of waste for recovery [Thousand Tonnes] (Fossil energy material/carriers)
 2010201120122013201420152016201720182019
TIME          
European Union - 27 countries (from 2020)570851.000000589701.000000633083.000000667380.000000676251.000000685898.000000703933.000000728379.000000708687.000000709035.000000
Belgium184189.000000185713.000000182657.000000181776.000000182006.000000180499.000000183473.000000187940.000000197066.000000187139.000000
Bulgaria18756.00000021333.00000021738.00000025494.00000025060.00000025476.00000027546.00000028506.00000026826.00000029764.000000
Czechia59046.00000061478.00000062217.00000063872.00000066178.00000067363.00000066812.00000066088.00000069692.00000071004.000000
Denmark38325.00000041264.00000039192.00000039034.00000038377.00000038466.00000038595.00000039922.00000037348.00000039980.000000
Germany340935.000000353091.000000342988.000000346070.000000362941.000000381014.000000381777.000000393697.000000398622.000000412931.000000
Estonia11474.00000013197.00000012649.00000012571.00000012672.00000012461.00000012724.00000014706.00000016749.00000016445.000000
Ireland13467.00000014295.00000015058.00000014402.00000015405.00000017277.00000017489.00000017065.00000016793.00000016887.000000
Greece27790.00000028183.00000032970.00000035883.00000037053.00000039790.00000042943.00000044710.00000044435.00000043939.000000
Spain123535.000000133822.000000144835.000000148898.000000158130.000000167881.000000172345.000000196410.000000201134.000000180050.000000
France173612.000000222433.000000211273.000000210905.000000215277.000000217710.000000211901.000000216539.000000222539.000000222259.000000
Croatia14420.00000013380.00000012501.00000013969.00000014233.00000015395.00000016187.00000016974.00000016607.00000016651.000000
Italy140422.000000139012.000000143338.000000139881.000000131816.000000145500.000000149013.000000151184.000000148045.000000147489.000000
Cyprus1028.0000001145.0000001306.0000002204.0000002341.0000003103.0000003609.0000003652.0000004135.0000002947.000000
Latvia17288.00000017912.00000019335.00000017972.00000018629.00000018873.00000019527.00000020496.00000021221.00000022885.000000
Lithuania20200.00000022487.00000023993.00000025571.00000025224.00000027576.00000027709.00000029001.00000027628.00000030062.000000
Luxembourg8785.0000008999.0000008287.0000008115.0000008013.0000007649.0000007822.0000008220.0000008461.0000008076.000000
Hungary30503.00000030902.00000032379.00000033216.00000034458.00000036368.00000035795.00000042707.00000041345.00000039844.000000
Malta1918.0000001620.0000001879.0000001274.000000621.0000001119.0000001029.0000001563.0000001047.0000001290.000000
Netherlands294814.000000299929.000000309243.000000322316.000000313058.000000307362.000000327329.000000329259.000000321350.000000314039.000000
Austria55973.00000057480.00000056057.00000055956.00000057077.00000058213.00000059902.00000061380.00000062322.00000062002.000000
Poland75164.00000075597.00000080362.00000091213.00000095018.000000110091.000000102141.000000102518.000000105328.000000102952.000000
Portugal30220.00000031659.00000032923.00000038445.00000039445.00000040388.00000039022.00000040690.00000040246.00000041091.000000
Romania27945.00000030364.00000028380.00000034809.00000037166.00000036033.00000036885.00000038194.00000041906.00000044121.000000
Slovenia10509.00000011427.00000011202.00000012209.00000013920.00000014805.00000015363.00000016720.00000016783.00000017097.000000
Slovakia26604.00000028018.00000027891.00000030516.00000032314.00000032735.00000033625.00000034204.00000034525.00000033300.000000
Finland41716.00000045472.00000042433.00000044633.00000044797.00000041632.00000043877.00000045600.00000048816.00000050330.000000
Sweden85939.00000085669.00000088775.00000083531.00000086811.00000085386.00000089536.00000092891.00000089995.00000086371.000000
Swedennannannannannannannannannannan
Special valuenannannannannannannannannannan
\n" ], "text/plain": [ "" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = pd.read_excel('env_ac_sd_spreadsheet.xlsx',\n", " sheet_name = \"Sheet 43\",\n", " header = [9],\n", " index_col= [0],\n", " skiprows= [10,41,42,43],\n", " usecols = [0,1,3,5,7,9,11,13,15,17,19])\n", "data.style.set_caption(\"Exports excluding exports of waste for recovery [Thousand Tonnes] (Fossil energy material/carriers)\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "6fe195ec", "metadata": { "id": "6fe195ec" }, "outputs": [], "source": [ "# dictionary to improve labelling\n", "countries_short = ['EU (2020)', 'EU (pre-2020)', 'BE', 'BG', 'CZ', 'DK', 'DE', 'ES',\n", " 'IE', 'GR', 'ES', 'FR', 'HR', 'IT', 'CY', 'LV', 'LT', 'LU','HU',\n", " 'MT','NL','AT','PL','PT', 'RO','SI','SK','FI','SE','UK']\n", "dict_countries = {i:countries_short[n] for n,i in enumerate(data.index)}" ] }, { "cell_type": "markdown", "id": "c3c19dd7", "metadata": {}, "source": [ "# Bar plot" ] }, { "cell_type": "code", "execution_count": 4, "id": "9259e65b", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 525 }, "id": "9259e65b", "outputId": "8421301d-49ce-4a2d-f7b1-3237c8ae5d9a" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Initialize the figure\n", "fig, ax = plt.subplots(figsize=(10, 5))\n", "\n", "# Width of the bars\n", "width = 0.25\n", "\n", "# Define x-axis positions\n", "dx = width / 2\n", "x1 = np.arange(len(data.index)) - dx\n", "x2 = np.arange(len(data.index)) + dx\n", "\n", "# Plot the bars\n", "ax.bar(x1, data['2010'], width, color='red', label='2010')\n", "ax.bar(x2, data['2019'], width, color='blue', label='2019')\n", "\n", "# Set title, x and y labels\n", "ax.set_title('Exports excluding exports of waste for recovery - recycling (Fossil energy material/carriers)')\n", "ax.set_xlabel('Countries')\n", "ax.set_ylabel('Thousand Tonnes')\n", "\n", "# Set x ticks and labels using country names\n", "ax.set_xticks(np.arange(len(data.index)))\n", "ax.set_xticklabels(data.index, rotation=90, fontsize=8)\n", "\n", "# Add a legend\n", "ax.legend()\n", "\n", "# Adjust layout for better appearance\n", "plt.tight_layout()\n", "\n", "# Show the plot\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "984d0180", "metadata": {}, "source": [ "# Line plot" ] }, { "cell_type": "code", "execution_count": 5, "id": "85c08562", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 525 }, "id": "85c08562", "outputId": "e86a2ae9-9594-4eaa-eee0-df22668fce1b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Skipping Sweden due to duplicate or non-unique entry in the data.\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# line plot\n", "# plot the trend of the indicator per country over the past 10 years\n", "\n", "# initialize the figure\n", "fig, ax = plt.subplots(figsize=(9, 5))\n", "\n", "# Create correct mapping from full names to short codes\n", "country_to_short = {\n", " 'Netherlands': 'NL',\n", " 'France': 'FR', \n", " 'Italy': 'IT',\n", " 'Sweden': 'SE',\n", " 'Poland': 'PL'\n", "}\n", "\n", "# plot the line\n", "for country in ['Netherlands', 'France', 'Italy', 'Sweden', 'Poland']:\n", " try:\n", " # Attempt to get the location by label\n", " loc = data.index.get_loc(country)\n", " # Check if the location is a single integer (unique label)\n", " if isinstance(loc, int):\n", " ax.plot(data.columns, data.loc[country, :], label=country_to_short[country])\n", " # If the location is a slice or array (duplicate or partial match), skip\n", " else:\n", " print(f\"Skipping {country} due to duplicate or non-unique entry in the data.\")\n", " except KeyError:\n", " print(f\"Skipping {country} due to missing entry in the data.\")\n", "\n", "# set title, x and y labels\n", "ax.set_title('Exports excluding exports of waste for recovery - recycling (Fossil energy material/carriers)')\n", "ax.set_xlabel('Years')\n", "ax.set_ylabel('Thousand Tonnes')\n", "\n", "# add a legend\n", "ax.legend()\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "e4862f4a", "metadata": {}, "source": [ "## European maps\n", "\n", "European level map of any indicator.\n", "\n", "In this section, we will create geographical visualizations of European data using GeoPandas. We'll work with NUTS (Nomenclature of Territorial Units for Statistics) geographical data to create:\n", "\n", "1. **Basic country-level maps** - Simple visualization of European countries\n", "2. **Choropleth maps** - Color-coded maps showing data values across countries\n", "\n", "The maps will use the EPSG:3035 coordinate reference system (European Terrestrial Reference System 1989 / Lambert Azimuthal Equal Area) which is optimized for European-wide mapping." ] }, { "cell_type": "code", "execution_count": 6, "id": "d67a8fbd", "metadata": {}, "outputs": [], "source": [ "# import the required packages\n", "import geopandas as gpd\n", "#import contextily as ctx" ] }, { "cell_type": "markdown", "id": "c622140c", "metadata": {}, "source": [ "## Loading NUTS Geospatial Data\n", "\n", "In this section, we load the NUTS (Nomenclature of Territorial Units for Statistics) geospatial data files required for creating European maps. NUTS provides a hierarchical system for dividing up the economic territory of the European Union for statistical purposes.\n", "\n", "### Data Files:\n", "- **NUTS_RG_01M_2021_3035.geojson**: Regional boundaries (polygons)\n", "- **NUTS_BN_01M_2021_3035.geojson**: Administrative boundaries (lines) \n", "- **NUTS_LB_2021_3035.geojson**: Label points (centroids for country names)\n", "\n", "### Coordinate System:\n", "All files use the **EPSG:3035** coordinate reference system (European Terrestrial Reference System 1989 / Lambert Azimuthal Equal Area), which is optimized for European-wide mapping and provides accurate area calculations.\n", "\n", "### Data Filtering:\n", "We filter the data to show only **NUTS level 0** (country level) by using `LEVL_CODE == 0`, which gives us:\n", "- Country polygons for choropleth mapping\n", "- Country boundaries for overlaying borders\n", "- Country centroids for potential labeling\n", "\n", "This geospatial foundation will enable us to create interactive maps showing the distribution of fossil energy exports across European countries.\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "b7187426", "metadata": {}, "outputs": [], "source": [ "# load data\n", "\n", "# regions\n", "path_rg = \"NUTS_RG_01M_2021_3035_LEVL_0.geojson\"\n", "gdf_rg = gpd.read_file(path_rg)\n", "\n", "# boundaries\n", "path_bn = \"NUTS_BN_01M_2021_3035_LEVL_0.geojson\"\n", "gdf_bn = gpd.read_file(path_bn)\n", "\n", "# single point per area \" for labeling\"\n", "path_lb = \"NUTS_LB_2021_3035_LEVL_0.geojson\"\n", "gdf_lb = gpd.read_file(path_lb)" ] }, { "cell_type": "code", "execution_count": 8, "id": "7f44b6fb", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NUTS_IDLEVL_CODECNTR_CODENAME_LATNNUTS_NAMEMOUNT_TYPEURBN_TYPECOAST_TYPEgeometry
0AL0ALShqipëriaShqipëria000MULTIPOLYGON (((5121233.536 2221719.441, 51208...
1CZ0CZČeskoČesko000POLYGON ((4624843.654 3112209.741, 4625546.618...
2DE0DEDeutschlandDeutschland000MULTIPOLYGON (((4355225.365 2715902.993, 43541...
3DK0DKDanmarkDanmark000MULTIPOLYGON (((4650502.736 3591342.844, 46503...
4CY0CYKýprosΚύπρος000MULTIPOLYGON (((6527040.718 1762367.593, 65267...
5BE0BEBelgique/BelgiëBelgique/België000MULTIPOLYGON (((3962902.889 3162436.894, 39626...
6BG0BGBulgariaБългария000POLYGON ((5330611.947 2430822.479, 5332044.063...
7CH0CHSchweiz/Suisse/SvizzeraSchweiz/Suisse/Svizzera000POLYGON ((4214016.748 2744590.195, 4214310.948...
8AT0ATÖsterreichÖsterreich000MULTIPOLYGON (((4354123.395 2712436.711, 43552...
9EE0EEEestiEesti000MULTIPOLYGON (((5200046.875 4159874.733, 52002...
10EL0ELElládaΕλλάδα000MULTIPOLYGON (((6083864.252 1676459.388, 60836...
11ES0ESEspañaEspaña000MULTIPOLYGON (((3815030.229 1904966.807, 38157...
12FI0FISuomi/FinlandSuomi/Finland000MULTIPOLYGON (((5003266.058 5307016.629, 50049...
13FR0FRFranceFrance000MULTIPOLYGON (((9981288.972 -3029239.216, 9982...
14HR0HRHrvatskaHrvatska000MULTIPOLYGON (((4809428.353 2624702.722, 48094...
15HU0HUMagyarországMagyarország000MULTIPOLYGON (((5164844.563 2893731.778, 51653...
16IE0IEÉire/IrelandÉire/Ireland000MULTIPOLYGON (((3235383.615 3716183.571, 32356...
17IS0ISÍslandÍsland000MULTIPOLYGON (((3187191.804 5040669.782, 31871...
18IT0ITItaliaItalia000MULTIPOLYGON (((4490080.814 2665777.451, 44913...
19LV0LVLatvijaLatvija000MULTIPOLYGON (((5211682.04 3982144.747, 521226...
20ME0MECrna GoraЦрна Гора000MULTIPOLYGON (((5014573.76 2200024.633, 501520...
21MT0MTMaltaMalta000MULTIPOLYGON (((4718428.714 1448639.239, 47190...
22NO0NONorgeNorge000MULTIPOLYGON (((4961367.759 5413266.131, 49622...
23MK0MKSeverna MakedonijaСеверна Македонија000POLYGON ((5332379.725 2222835.909, 5332041.814...
24LT0LTLietuvaLietuva000MULTIPOLYGON (((5232018.536 3800170.443, 52324...
25LU0LULuxembourgLuxembourg000POLYGON ((4038552.051 3012685.848, 4039867.283...
26NL0NLNederlandNederland000MULTIPOLYGON (((4105407.002 3377924.206, 41082...
27SI0SISlovenijaSlovenija000MULTIPOLYGON (((4796604.936 2660336.468, 47980...
28LI0LILiechtensteinLiechtenstein000POLYGON ((4288094.362 2673014.898, 4288583.148...
29SE0SESverigeSverige000MULTIPOLYGON (((4972382.336 4789635.007, 49721...
30PL0PLPolskaPolska000MULTIPOLYGON (((4854947.286 3556285.285, 48556...
31SK0SKSlovenskoSlovensko000MULTIPOLYGON (((5003133.934 2988592.054, 50037...
32RS0RSSerbiaSrbija/Сpбија000MULTIPOLYGON (((5065273.952 2612464.116, 50671...
33TR0TRTürkiyeTürkiye000MULTIPOLYGON (((6349101.036 2450900.951, 63518...
34UK0UKUnited KingdomUnited Kingdom000MULTIPOLYGON (((3546135.14 4022028.934, 354660...
35RO0RORomâniaRomânia000MULTIPOLYGON (((5550222.999 2933295.763, 55512...
36PT0PTPortugalPortugal000MULTIPOLYGON (((2828396.621 2295946.291, 28279...
\n", "
" ], "text/plain": [ " NUTS_ID LEVL_CODE CNTR_CODE NAME_LATN \\\n", "0 AL 0 AL Shqipëria \n", "1 CZ 0 CZ Česko \n", "2 DE 0 DE Deutschland \n", "3 DK 0 DK Danmark \n", "4 CY 0 CY Kýpros \n", "5 BE 0 BE Belgique/België \n", "6 BG 0 BG Bulgaria \n", "7 CH 0 CH Schweiz/Suisse/Svizzera \n", "8 AT 0 AT Österreich \n", "9 EE 0 EE Eesti \n", "10 EL 0 EL Elláda \n", "11 ES 0 ES España \n", "12 FI 0 FI Suomi/Finland \n", "13 FR 0 FR France \n", "14 HR 0 HR Hrvatska \n", "15 HU 0 HU Magyarország \n", "16 IE 0 IE Éire/Ireland \n", "17 IS 0 IS Ísland \n", "18 IT 0 IT Italia \n", "19 LV 0 LV Latvija \n", "20 ME 0 ME Crna Gora \n", "21 MT 0 MT Malta \n", "22 NO 0 NO Norge \n", "23 MK 0 MK Severna Makedonija \n", "24 LT 0 LT Lietuva \n", "25 LU 0 LU Luxembourg \n", "26 NL 0 NL Nederland \n", "27 SI 0 SI Slovenija \n", "28 LI 0 LI Liechtenstein \n", "29 SE 0 SE Sverige \n", "30 PL 0 PL Polska \n", "31 SK 0 SK Slovensko \n", "32 RS 0 RS Serbia \n", "33 TR 0 TR Türkiye \n", "34 UK 0 UK United Kingdom \n", "35 RO 0 RO România \n", "36 PT 0 PT Portugal \n", "\n", " NUTS_NAME MOUNT_TYPE URBN_TYPE COAST_TYPE \\\n", "0 Shqipëria 0 0 0 \n", "1 Česko 0 0 0 \n", "2 Deutschland 0 0 0 \n", "3 Danmark 0 0 0 \n", "4 Κύπρος 0 0 0 \n", "5 Belgique/België 0 0 0 \n", "6 България 0 0 0 \n", "7 Schweiz/Suisse/Svizzera 0 0 0 \n", "8 Österreich 0 0 0 \n", "9 Eesti 0 0 0 \n", "10 Ελλάδα 0 0 0 \n", "11 España 0 0 0 \n", "12 Suomi/Finland 0 0 0 \n", "13 France 0 0 0 \n", "14 Hrvatska 0 0 0 \n", "15 Magyarország 0 0 0 \n", "16 Éire/Ireland 0 0 0 \n", "17 Ísland 0 0 0 \n", "18 Italia 0 0 0 \n", "19 Latvija 0 0 0 \n", "20 Црна Гора 0 0 0 \n", "21 Malta 0 0 0 \n", "22 Norge 0 0 0 \n", "23 Северна Македонија 0 0 0 \n", "24 Lietuva 0 0 0 \n", "25 Luxembourg 0 0 0 \n", "26 Nederland 0 0 0 \n", "27 Slovenija 0 0 0 \n", "28 Liechtenstein 0 0 0 \n", "29 Sverige 0 0 0 \n", "30 Polska 0 0 0 \n", "31 Slovensko 0 0 0 \n", "32 Srbija/Сpбија 0 0 0 \n", "33 Türkiye 0 0 0 \n", "34 United Kingdom 0 0 0 \n", "35 România 0 0 0 \n", "36 Portugal 0 0 0 \n", "\n", " geometry \n", "0 MULTIPOLYGON (((5121233.536 2221719.441, 51208... \n", "1 POLYGON ((4624843.654 3112209.741, 4625546.618... \n", "2 MULTIPOLYGON (((4355225.365 2715902.993, 43541... \n", "3 MULTIPOLYGON (((4650502.736 3591342.844, 46503... \n", "4 MULTIPOLYGON (((6527040.718 1762367.593, 65267... \n", "5 MULTIPOLYGON (((3962902.889 3162436.894, 39626... \n", "6 POLYGON ((5330611.947 2430822.479, 5332044.063... \n", "7 POLYGON ((4214016.748 2744590.195, 4214310.948... \n", "8 MULTIPOLYGON (((4354123.395 2712436.711, 43552... \n", "9 MULTIPOLYGON (((5200046.875 4159874.733, 52002... \n", "10 MULTIPOLYGON (((6083864.252 1676459.388, 60836... \n", "11 MULTIPOLYGON (((3815030.229 1904966.807, 38157... \n", "12 MULTIPOLYGON (((5003266.058 5307016.629, 50049... \n", "13 MULTIPOLYGON (((9981288.972 -3029239.216, 9982... \n", "14 MULTIPOLYGON (((4809428.353 2624702.722, 48094... \n", "15 MULTIPOLYGON (((5164844.563 2893731.778, 51653... \n", "16 MULTIPOLYGON (((3235383.615 3716183.571, 32356... \n", "17 MULTIPOLYGON (((3187191.804 5040669.782, 31871... \n", "18 MULTIPOLYGON (((4490080.814 2665777.451, 44913... \n", "19 MULTIPOLYGON (((5211682.04 3982144.747, 521226... \n", "20 MULTIPOLYGON (((5014573.76 2200024.633, 501520... \n", "21 MULTIPOLYGON (((4718428.714 1448639.239, 47190... \n", "22 MULTIPOLYGON (((4961367.759 5413266.131, 49622... \n", "23 POLYGON ((5332379.725 2222835.909, 5332041.814... \n", "24 MULTIPOLYGON (((5232018.536 3800170.443, 52324... \n", "25 POLYGON ((4038552.051 3012685.848, 4039867.283... \n", "26 MULTIPOLYGON (((4105407.002 3377924.206, 41082... \n", "27 MULTIPOLYGON (((4796604.936 2660336.468, 47980... \n", "28 POLYGON ((4288094.362 2673014.898, 4288583.148... \n", "29 MULTIPOLYGON (((4972382.336 4789635.007, 49721... \n", "30 MULTIPOLYGON (((4854947.286 3556285.285, 48556... \n", "31 MULTIPOLYGON (((5003133.934 2988592.054, 50037... \n", "32 MULTIPOLYGON (((5065273.952 2612464.116, 50671... \n", "33 MULTIPOLYGON (((6349101.036 2450900.951, 63518... \n", "34 MULTIPOLYGON (((3546135.14 4022028.934, 354660... \n", "35 MULTIPOLYGON (((5550222.999 2933295.763, 55512... \n", "36 MULTIPOLYGON (((2828396.621 2295946.291, 28279... " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Show that geopandas is a DataFrame with a geometry column\n", "gdf_rg" ] }, { "cell_type": "code", "execution_count": 9, "id": "6f363936", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot map of europe\n", "\n", "# Initialize the figure\n", "fig, ax = plt.subplots(figsize = (10,10))\n", "\n", "# plot\n", "gdf_rg.plot(ax=ax, color=\"gray\")\n", "#gdf_bn.plot(ax=ax, linewidth=0.5, color=\"red\")\n", "#gdf_lb.plot(ax=ax, color=\"yellow\")\n", "\n", "# title\n", "ax.set(title='European countries')\n", "\n", "# remove axis and show figure\n", "ax.set_axis_off()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 10, "id": "195acfe1", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot a geographical heatmap\n", "\n", "# Create correct mapping from country codes to country names in data\n", "country_code_to_name = {\n", " 'BE': 'Belgium',\n", " 'BG': 'Bulgaria', \n", " 'CZ': 'Czechia',\n", " 'DK': 'Denmark',\n", " 'DE': 'Germany',\n", " 'EE': 'Estonia',\n", " 'IE': 'Ireland',\n", " 'GR': 'Greece',\n", " 'ES': 'Spain',\n", " 'FR': 'France',\n", " 'HR': 'Croatia',\n", " 'IT': 'Italy',\n", " 'CY': 'Cyprus',\n", " 'LV': 'Latvia',\n", " 'LT': 'Lithuania',\n", " 'LU': 'Luxembourg',\n", " 'HU': 'Hungary',\n", " 'MT': 'Malta',\n", " 'NL': 'Netherlands',\n", " 'AT': 'Austria',\n", " 'PL': 'Poland',\n", " 'PT': 'Portugal',\n", " 'RO': 'Romania',\n", " 'SI': 'Slovenia',\n", " 'SK': 'Slovakia',\n", " 'FI': 'Finland',\n", " 'SE': 'Sweden'\n", "}\n", "\n", "# rearrange the data\n", "cmap = sns.color_palette(\"vlag\", as_cmap=True)\n", "\n", "dict_data = {}\n", "for ID in gdf_rg.NUTS_ID:\n", " if ID in country_code_to_name and country_code_to_name[ID] in data.index:\n", " value = data.loc[country_code_to_name[ID], '2019']\n", " # Handle case where value might be a Series (due to duplicate index)\n", " if hasattr(value, 'iloc'):\n", " dict_data[ID] = value.iloc[0] if not pd.isna(value.iloc[0]) else 0\n", " else:\n", " dict_data[ID] = value if not pd.isna(value) else 0\n", " else:\n", " dict_data[ID] = 0\n", "\n", "# Filter out zero values for colorbar normalization\n", "non_zero_values = [v for v in dict_data.values() if v > 0]\n", "max_value = max(non_zero_values) if non_zero_values else 1\n", "min_value = min(non_zero_values) if non_zero_values else 0\n", "\n", "grey = (0.7019607843137254, 0.7019607843137254, 0.7019607843137254, 1.0)\n", "colors = [cmap(dict_data[ID]/max_value) if ID in country_code_to_name and dict_data[ID] > 0 else grey for ID in gdf_rg.NUTS_ID]\n", "\n", "# Initialize the figure\n", "fig, ax = plt.subplots(figsize = (10,10))\n", "\n", "gdf_rg.plot(ax=ax, color=colors)\n", "gdf_bn.plot(ax=ax, color=\"k\")\n", "\n", "# Focus the plotting on continental Europe\n", "ax.set_xlim(2*10**6,8*10**6)\n", "ax.set_ylim(1*10**6,6*10**6)\n", "\n", "# include a colorbar\n", "sm = plt.cm.ScalarMappable(cmap=cmap,\n", " norm=plt.Normalize(vmin=min_value, vmax=max_value))\n", "sm._A = []\n", "cbar = plt.colorbar(sm, ax=ax, fraction=0.03)\n", "cbar.set_label('[Thousand Tonnes]', rotation=90)\n", "\n", "# Title\n", "ax.set_title('Exports excluding exports of waste for recovery - recycling (Fossil energy material/carriers) 2019')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "4c415576", "metadata": {}, "source": [ "**QUESTION 2. Now that you've seen how it works, produce the previous graphs for another quantity you are curious about!**" ] }, { "cell_type": "code", "execution_count": 11, "id": "16247be7", "metadata": {}, "outputs": [], "source": [ "# Write here (or modify the code above)" ] }, { "cell_type": "markdown", "id": "f968005d", "metadata": { "id": "f968005d" }, "source": [ "### Part 2: Sankey diagram\n", "\n", "Replicate the Sankey diagram for the European Union (27 countries) 2023 reported by [Eurostat](https://ec.europa.eu/eurostat/cache/sankey/circular_economy/sankey.html?geos=EU27&year=2020&unit=G_T&materials=TOTAL&highlight=0&nodeDisagg=0101100100&flowDisagg=false&translateX=200&translateY=70&scale=0.7&language=EN&xyz=89&material=TOTAL) using the python lybrary [plotly](https://plotly.com/python/sankey-diagram/).\n", "\n", "Acronyms used:\n", "\n", "* 'IMP_RCV_R': 'Imports of waste for recovery - recycling'\n", "* 'IMP_X_RCV_R':'Imports excluding imports of waste for recovey - recycling',\n", "* 'EXP_RCV_R':'Exports of waste for recovery - recycling',\n", "* 'EXP_X_RCV_R':'Exports exclusing exports of waste for recovery - recycling',\n", "* 'DMI_RCV_R_B':'Processed material - direct material inputs and recovery',\n", "* 'NAS':'Net additions to stock',\n", "* 'MAT_ACCUM':'Material accumulation',\n", "* 'EMIS':'Emissions',\n", "* 'EMIS_X_WST_IN':'Emissions excluding emissiond from incineration of waste',\n", "* 'EMIS_AIR_NBI':'Emissions to air - net of balancing items',\n", "* 'EMIS_WTR':'Emissions to water',\n", "* 'DFLOW':'Dissipative flows',\n", "* 'MAT_USE':'Material use',\n", "* 'NRS':'Net reduction to stock' " ] }, { "cell_type": "code", "execution_count": 12, "id": "ade57cb2", "metadata": { "id": "ade57cb2" }, "outputs": [], "source": [ "# import required packages\n", "import plotly.graph_objects as go" ] }, { "cell_type": "code", "execution_count": 13, "id": "4328229c", "metadata": { "id": "4328229c" }, "outputs": [], "source": [ "# import the data dowloaded from the Eurostat website\n", "# Create synthetic data for material flow accounts\n", "data = pd.read_csv('env_ac_sd_linear.csv')\n", "\n", "data = data[(data['unit'] == 'THS_T') \n", " & (data['indic_env'].isin(['IMP_X_RCV_R', 'IMP_RCV_R', 'EXP_X_RCV_R', 'EXP_RCV_R', 'DMI_RCV_R_B', 'DFLOW', 'EMIS_X_WST_INC', 'MAT_USE', 'MAT_ACCUM', 'EMIS', 'EMIS_AIR_NBI', 'EMIS_WTR', 'RCV']))\n", " & (data['geo'] == 'EU27_2020')\n", " & (data['TIME_PERIOD'] == 2020)\n", " & (data['material'] == 'TOTAL')\n", " ]\n", "\n", "# Set index to indicator for easier data access\n", "data = data.set_index('indic_env')\n", "\n", "# Rename column to match expected format\n", "data = data.rename(columns={'OBS_VALUE': 'value'})" ] }, { "cell_type": "code", "execution_count": 14, "id": "91b8f407", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " DATAFLOW LAST UPDATE freq material unit \\\n", "indic_env \n", "DFLOW ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "DMI_RCV_R_B ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "EMIS ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "EMIS_AIR_NBI ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "EMIS_WTR ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "EMIS_X_WST_INC ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "EXP_RCV_R ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "EXP_X_RCV_R ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "IMP_RCV_R ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "IMP_X_RCV_R ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "MAT_ACCUM ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "MAT_USE ESTAT:ENV_AC_SD(1.0) 25/11/21 11:00:00 A TOTAL THS_T \n", "\n", " geo TIME_PERIOD value OBS_FLAG \n", "indic_env \n", "DFLOW EU27_2020 2020 229171.0 s \n", "DMI_RCV_R_B EU27_2020 2020 7719201.0 s \n", "EMIS EU27_2020 2020 2498354.0 s \n", "EMIS_AIR_NBI EU27_2020 2020 2490910.0 s \n", "EMIS_WTR EU27_2020 2020 7444.0 s \n", "EMIS_X_WST_INC EU27_2020 2020 2389189.0 s \n", "EXP_RCV_R EU27_2020 2020 30912.0 NaN \n", "EXP_X_RCV_R EU27_2020 2020 687362.0 NaN \n", "IMP_RCV_R EU27_2020 2020 12465.0 NaN \n", "IMP_X_RCV_R EU27_2020 2020 1512754.0 NaN \n", "MAT_ACCUM EU27_2020 2020 2562423.0 ps \n", "MAT_USE EU27_2020 2020 4382567.0 ps \n" ] } ], "source": [ "print(data)" ] }, { "cell_type": "markdown", "id": "5eb876b1", "metadata": {}, "source": [ "## Data Reformatting for Sankey Diagram Construction\n", "\n", "The data reformatting step is necessary for transforming the raw Eurostat material flow data into a format suitable for creating a Sankey diagram. Here's why this transformation is necessary:\n", "\n", "### 1. **From Tabular to Flow Structure**\n", "The original Eurostat data comes in a tabular format with individual indicators (like `IMP_RCV_R`, `EXP_X_RCV_R`, etc.) as separate rows. However, Sankey diagrams represent **flows between nodes**, requiring:\n", "- **Source nodes** (where flows originate)\n", "- **Target nodes** (where flows end) \n", "- **Flow values** (quantities moving between nodes)" ] }, { "cell_type": "code", "execution_count": 15, "id": "e81113ff", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 604 }, "id": "e81113ff", "outputId": "dd2e68ec-9c89-4b1a-e2c0-fa4808a77c66" }, "outputs": [], "source": [ "# rearrange the data\n", "\n", "# create a dictionary with all the required flows to build your Sankey diagram, in format: flow name to tuple(source, target, value)\n", "flows_dict = {'IMP_RCV_R -> IMP':('IMP_RCV_R','IMP',data.loc['IMP_RCV_R','value']),\n", " 'IMP_X_RCV_R -> IMP':('IMP_X_RCV_R','IMP',data.loc['IMP_X_RCV_R','value']),\n", " 'IMP -> DMI':('IMP','DMI',np.nan),\n", " 'NRE -> DMI':('NRE','DMI',np.nan),\n", " 'DMI -> DMI_RCV_R_B':('DMI','DMI_RCV_R_B',np.nan),\n", " 'DMI_RCV_R_B -> EXP':('DMI_RCV_R_B','EXP',np.nan),\n", " 'DMI_RCV_R_B -> DFLOW':('DMI_RCV_R_B','DFLOW',data.loc['DFLOW','value']),\n", " 'DMI_RCV_R_B -> EMIS':('DMI_RCV_R_B','EMIS',data.loc['EMIS_X_WST_INC','value']),\n", " 'DMI_RCV_R_B -> MAT_USE':('DMI_RCV_R_B','MAT_USE',data.loc['MAT_USE','value']),\n", " 'EXP -> EXP_RCV_R':('EXP','EXP_RCV_R',data.loc['EXP_RCV_R','value']),\n", " 'EXP -> EXP_X_RCV_R':('EXP','EXP_X_RCV_R',data.loc['EXP_X_RCV_R','value']),\n", " 'EMIS -> EMIS_AIR_NBI':('EMIS','EMIS_AIR_NBI',data.loc['EMIS_AIR_NBI','value']),\n", " 'EMIS -> EMIS_WTR':('EMIS','EMIS_WTR',data.loc['EMIS_WTR','value']),\n", " 'MAT_USE -> WST':('MAT_USE','WST',np.nan),\n", " 'MAT_USE -> MAT_ACCUM':('MAT_USE','MAT_ACCUM',data.loc['MAT_ACCUM','value']),\n", " 'WST -> EMIS':('WST','EMIS',np.nan),\n", " 'WST -> WST_LANDFILL':('WST','WST_LANDFILL',np.nan),\n", " 'WST -> DMI_RCV_R_B':('WST','DMI_RCV_R_B',np.nan)\n", " }\n", "\n", "\n", "flows = pd.DataFrame(flows_dict).T\n", "flows.columns = ['source','target','value']" ] }, { "cell_type": "code", "execution_count": 16, "id": "c015a042", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " source target value\n", "IMP_RCV_R -> IMP IMP_RCV_R IMP 12465.0\n", "IMP_X_RCV_R -> IMP IMP_X_RCV_R IMP 1512754.0\n", "IMP -> DMI IMP DMI NaN\n", "NRE -> DMI NRE DMI NaN\n", "DMI -> DMI_RCV_R_B DMI DMI_RCV_R_B NaN\n", "DMI_RCV_R_B -> EXP DMI_RCV_R_B EXP NaN\n", "DMI_RCV_R_B -> DFLOW DMI_RCV_R_B DFLOW 229171.0\n", "DMI_RCV_R_B -> EMIS DMI_RCV_R_B EMIS 2389189.0\n", "DMI_RCV_R_B -> MAT_USE DMI_RCV_R_B MAT_USE 4382567.0\n", "EXP -> EXP_RCV_R EXP EXP_RCV_R 30912.0\n", "EXP -> EXP_X_RCV_R EXP EXP_X_RCV_R 687362.0\n", "EMIS -> EMIS_AIR_NBI EMIS EMIS_AIR_NBI 2490910.0\n", "EMIS -> EMIS_WTR EMIS EMIS_WTR 7444.0\n", "MAT_USE -> WST MAT_USE WST NaN\n", "MAT_USE -> MAT_ACCUM MAT_USE MAT_ACCUM 2562423.0\n", "WST -> EMIS WST EMIS NaN\n", "WST -> WST_LANDFILL WST WST_LANDFILL NaN\n", "WST -> DMI_RCV_R_B WST DMI_RCV_R_B NaN\n" ] } ], "source": [ "print(flows)" ] }, { "cell_type": "markdown", "id": "e35bbb2e", "metadata": {}, "source": [ "Some values are missing. They can be computed using mass balance equations." ] }, { "cell_type": "code", "execution_count": 17, "id": "761d15cb", "metadata": { "id": "761d15cb" }, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "object", "type": "string" }, { "name": "source", "rawType": "object", "type": "string" }, { "name": "target", "rawType": "object", "type": "string" }, { "name": "value", "rawType": "object", "type": "unknown" } ], "ref": "545c005f-a181-4fe2-be41-2ef71bbe2bc4", "rows": [ [ "IMP_RCV_R -> IMP", "IMP_RCV_R", "IMP", "12465.0" ], [ "IMP_X_RCV_R -> IMP", "IMP_X_RCV_R", "IMP", "1512754.0" ], [ "IMP -> DMI", "IMP", "DMI", "1525219.0" ], [ "NRE -> DMI", "NRE", "DMI", "5829953.2" ], [ "DMI -> DMI_RCV_R_B", "DMI", "DMI_RCV_R_B", "7355172.2" ], [ "DMI_RCV_R_B -> EXP", "DMI_RCV_R_B", "EXP", "718274.0" ], [ "DMI_RCV_R_B -> DFLOW", "DMI_RCV_R_B", "DFLOW", "229171.0" ], [ "DMI_RCV_R_B -> EMIS", "DMI_RCV_R_B", "EMIS", "2389189.0" ], [ "DMI_RCV_R_B -> MAT_USE", "DMI_RCV_R_B", "MAT_USE", "4382567.0" ], [ "EXP -> EXP_RCV_R", "EXP", "EXP_RCV_R", "30912.0" ], [ "EXP -> EXP_X_RCV_R", "EXP", "EXP_X_RCV_R", "687362.0" ], [ "EMIS -> EMIS_AIR_NBI", "EMIS", "EMIS_AIR_NBI", "2490910.0" ], [ "EMIS -> EMIS_WTR", "EMIS", "EMIS_WTR", "7444.0" ], [ "MAT_USE -> WST", "MAT_USE", "WST", "1820144.0" ], [ "MAT_USE -> MAT_ACCUM", "MAT_USE", "MAT_ACCUM", "2562423.0" ], [ "WST -> EMIS", "WST", "EMIS", "109165.0" ], [ "WST -> WST_LANDFILL", "WST", "WST_LANDFILL", "1346950.2" ], [ "WST -> DMI_RCV_R_B", "WST", "DMI_RCV_R_B", "364028.80000000005" ] ], "shape": { "columns": 3, "rows": 18 } }, "text/html": [ "
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sourcetargetvalue
IMP_RCV_R -> IMPIMP_RCV_RIMP12465.0
IMP_X_RCV_R -> IMPIMP_X_RCV_RIMP1512754.0
IMP -> DMIIMPDMI1525219.0
NRE -> DMINREDMI5829953.2
DMI -> DMI_RCV_R_BDMIDMI_RCV_R_B7355172.2
DMI_RCV_R_B -> EXPDMI_RCV_R_BEXP718274.0
DMI_RCV_R_B -> DFLOWDMI_RCV_R_BDFLOW229171.0
DMI_RCV_R_B -> EMISDMI_RCV_R_BEMIS2389189.0
DMI_RCV_R_B -> MAT_USEDMI_RCV_R_BMAT_USE4382567.0
EXP -> EXP_RCV_REXPEXP_RCV_R30912.0
EXP -> EXP_X_RCV_REXPEXP_X_RCV_R687362.0
EMIS -> EMIS_AIR_NBIEMISEMIS_AIR_NBI2490910.0
EMIS -> EMIS_WTREMISEMIS_WTR7444.0
MAT_USE -> WSTMAT_USEWST1820144.0
MAT_USE -> MAT_ACCUMMAT_USEMAT_ACCUM2562423.0
WST -> EMISWSTEMIS109165.0
WST -> WST_LANDFILLWSTWST_LANDFILL1346950.2
WST -> DMI_RCV_R_BWSTDMI_RCV_R_B364028.8
\n", "
" ], "text/plain": [ " source target value\n", "IMP_RCV_R -> IMP IMP_RCV_R IMP 12465.0\n", "IMP_X_RCV_R -> IMP IMP_X_RCV_R IMP 1512754.0\n", "IMP -> DMI IMP DMI 1525219.0\n", "NRE -> DMI NRE DMI 5829953.2\n", "DMI -> DMI_RCV_R_B DMI DMI_RCV_R_B 7355172.2\n", "DMI_RCV_R_B -> EXP DMI_RCV_R_B EXP 718274.0\n", "DMI_RCV_R_B -> DFLOW DMI_RCV_R_B DFLOW 229171.0\n", "DMI_RCV_R_B -> EMIS DMI_RCV_R_B EMIS 2389189.0\n", "DMI_RCV_R_B -> MAT_USE DMI_RCV_R_B MAT_USE 4382567.0\n", "EXP -> EXP_RCV_R EXP EXP_RCV_R 30912.0\n", "EXP -> EXP_X_RCV_R EXP EXP_X_RCV_R 687362.0\n", "EMIS -> EMIS_AIR_NBI EMIS EMIS_AIR_NBI 2490910.0\n", "EMIS -> EMIS_WTR EMIS EMIS_WTR 7444.0\n", "MAT_USE -> WST MAT_USE WST 1820144.0\n", "MAT_USE -> MAT_ACCUM MAT_USE MAT_ACCUM 2562423.0\n", "WST -> EMIS WST EMIS 109165.0\n", "WST -> WST_LANDFILL WST WST_LANDFILL 1346950.2\n", "WST -> DMI_RCV_R_B WST DMI_RCV_R_B 364028.8" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Compute missing values using mass balance relationships\n", "\n", "recycling_rate = 0.2\n", "\n", "# Total imports (IMP): sum of imports\n", "flows.loc['IMP -> DMI','value'] = flows.loc['IMP_RCV_R -> IMP','value'] + flows.loc['IMP_X_RCV_R -> IMP','value']\n", "\n", "# Exports (EXP): sum of exports\n", "flows.loc['DMI_RCV_R_B -> EXP','value'] = flows.loc['EXP -> EXP_RCV_R','value'] + flows.loc['EXP -> EXP_X_RCV_R','value']\n", "\n", "# Waste treatement (WST): Mat. use - Mat. accumulation\n", "flows.loc['MAT_USE -> WST','value'] = flows.loc['DMI_RCV_R_B -> MAT_USE','value']- flows.loc['MAT_USE -> MAT_ACCUM','value']\n", "\n", "# Recovered material: processed material - DMI\n", "flows.loc['WST -> DMI_RCV_R_B','value'] = recycling_rate * flows.loc['MAT_USE -> WST','value']\n", "\n", "# Domestic material inputs (DMI) to processed material: processed material - recycled material\n", "flows.loc['DMI -> DMI_RCV_R_B','value'] = data.loc['DMI_RCV_R_B','value'] - flows.loc['WST -> DMI_RCV_R_B','value']\n", "\n", "# Incineration: total emission - emissions from processed material\n", "flows.loc['WST -> EMIS','value'] = data.loc['EMIS','value'] - flows.loc['DMI_RCV_R_B -> EMIS','value']\n", "\n", "# Landill\n", "flows.loc['WST -> WST_LANDFILL','value'] = flows.loc['MAT_USE -> WST','value'] - flows.loc['WST -> EMIS','value'] - flows.loc['WST -> DMI_RCV_R_B','value']\n", "\n", "# Natural resource extracted (NRE): DMI - IMP\n", "flows.loc['NRE -> DMI','value'] = flows.loc['DMI -> DMI_RCV_R_B','value'] - flows.loc['IMP -> DMI','value']\n", "\n", "flows" ] }, { "cell_type": "markdown", "id": "bd1b0ff6", "metadata": {}, "source": [ "**QUESTION 3. Compute the part of waste that is recycled, and test for various values of the recycling rate above.**" ] }, { "cell_type": "code", "execution_count": null, "id": "c143f6bd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Total processed material (DMI_RCV_R_B): 7,719,201 thousand tonnes\n", "Recycled material share in DMI_RCV_R_B: 4.7%\n" ] } ], "source": [ "# Calculate recycling metrics\n", "\n", "# Part of recycled material in processed material (DMI_RCV_R_B)\n", "recycled_material = \n", "total_dmi = data.loc['DMI_RCV_R_B','value']\n", "recycled_share = \n", "\n", "print(f\"\\nTotal processed material (DMI_RCV_R_B): {total_dmi:,.0f} thousand tonnes\")\n", "print(f\"Recycled material share in DMI_RCV_R_B: {recycled_share:.1f}%\")" ] }, { "cell_type": "code", "execution_count": 19, "id": "24de4ad1", "metadata": { "id": "24de4ad1" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\lechot\\AppData\\Local\\Temp\\ipykernel_25044\\1516500824.py:16: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " source = list(flows.source.replace(dict_indicators).values), # indices correspond to labels\n", "C:\\Users\\lechot\\AppData\\Local\\Temp\\ipykernel_25044\\1516500824.py:17: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", " target = list(flows.target.replace(dict_indicators).values),\n" ] }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "link": { "source": [ 10, 13, 11, 12, 8, 16, 16, 16, 16, 7, 7, 1, 1, 9, 9, 0, 0, 0 ], "target": [ 11, 11, 8, 8, 16, 7, 15, 1, 9, 3, 4, 14, 6, 0, 5, 1, 2, 16 ], "value": [ 12465, 1512754, 1525219, 5829953.2, 7355172.2, 718274, 229171, 2389189, 4382567, 30912, 687362, 2490910, 7444, 1820144, 2562423, 109165, 1346950.2, 364028.80000000005 ] }, "node": { "label": [ "WST", "EMIS", "WST_LANDFILL", "EXP_RCV_R", "EXP_X_RCV_R", "MAT_ACCUM", "EMIS_WTR", "EXP", "DMI", "MAT_USE", "IMP_RCV_R", "IMP", "NRE", "IMP_X_RCV_R", "EMIS_AIR_NBI", "DFLOW", "DMI_RCV_R_B" ], "line": { "color": "black", "width": 0.5 }, "pad": 15, "thickness": 20 }, "type": "sankey" } ], "layout": { "font": { "size": 10 }, "template": { "data": { "bar": [ 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"Material Flow Sankey Diagram for European Union (27 countries) 2020" } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# basic plot\n", "import plotly.graph_objects as go\n", "\n", "all_indicators = list(set(list(set(flows.loc[:,'source'])) + list(set(flows.loc[:,'target']))))\n", "dict_indicators = {i:n for n,i in enumerate(all_indicators)}\n", "labels = list(dict_indicators.keys())\n", "\n", "fig = go.Figure(data=[go.Sankey(\n", " node = dict(\n", " pad = 15,\n", " thickness = 20,\n", " line = dict(color = \"black\", width = 0.5),\n", " label = labels,\n", " ),\n", " link = dict(\n", " source = list(flows.source.replace(dict_indicators).values), # indices correspond to labels\n", " target = list(flows.target.replace(dict_indicators).values),\n", " value = list(flows.value.values)\n", " ))])\n", "\n", "fig.update_layout(title_text=\"Material Flow Sankey Diagram for European Union (27 countries) 2020\", font_size=10)\n", "fig.show()" ] }, { "cell_type": "code", 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To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", "\n", "C:\\Users\\lechot\\AppData\\Local\\Temp\\ipykernel_25044\\2136510237.py:35: FutureWarning:\n", "\n", "Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n", "\n" ] }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "arrangement": "freeform", "link": { "source": [ 1, 0, 2, 3, 4, 5, 5, 5, 5, 10, 10, 9, 9, 6, 6, 8, 8, 8 ], "target": [ 2, 2, 4, 4, 5, 10, 11, 9, 6, 15, 16, 12, 13, 8, 7, 9, 14, 5 ], "value": [ 12465, 1512754, 1525219, 5829953.2, 7355172.2, 718274, 229171, 2389189, 4382567, 30912, 687362, 2490910, 7444, 1820144, 2562423, 109165, 1346950.2, 364028.80000000005 ] }, "node": { "label": [ "IMP_X_RCV_R", "IMP_RCV_R", "IMP", "NRE", "DMI", "DMI_RCV_R_B", "MAT_USE", "MAT_ACCUM", "WST", "EMIS", "EXP", "DFLOW", "EMIS_AIR_NBI", "EMIS_WTR", "WST_LANDFILL", "EXP_RCV_R", "EXP_X_RCV_R" ], "line": { "color": "black", "width": 0.5 }, "pad": 15, "thickness": 15, "x": [ 0.01, 0.01, 0.1, 0.1, 0.2, 0.3, 0.4, 0.6, 0.6, 0.7, 0.7, 0.8, 0.8, 0.8, 0.8, 0.9, 0.9 ], "y": [ 0.01, 0.2, 0.1, 0.6, 0.47, 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"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Material Flow Sankey Diagram for European Union (27 countries) 2020" } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# customized nodes position\n", "labels = {'IMP_X_RCV_R':(0.01,0.01),\n", " 'IMP_RCV_R':(0.01,0.2),\n", " 'IMP':(0.1,0.1),\n", " 'NRE':(0.1,0.6),\n", " 'DMI':(0.2,0.47),\n", " 'DMI_RCV_R_B':(0.3,0.5),\n", " 'MAT_USE':(0.4,0.6),\n", " 'MAT_ACCUM':(0.6,0.75),\n", " 'WST':(0.6,0.48),\n", " 'EMIS':(0.7,0.3),\n", " 'EXP':(0.7,0.06),\n", " 'DFLOW':(0.8,0.15),\n", " 'EMIS_AIR_NBI':(0.8,0.3),\n", " 'EMIS_WTR':(0.8,0.4),\n", " 'WST_LANDFILL':(0.8,0.45),\n", " 'EXP_RCV_R':(0.9,0.01),\n", " 'EXP_X_RCV_R':(0.9,0.1)\n", " }\n", "\n", "dict_indicators = {i:n for n,i in enumerate(labels.keys())}\n", "\n", "fig = go.Figure(data=[go.Sankey(\n", " arrangement=\"freeform\",\n", " node = dict(\n", " pad = 15,\n", " thickness = 15,\n", " line = dict(color = \"black\", width = 0.5),\n", " label = list(labels.keys()),\n", " x = [i[0] for i in labels.values()],\n", " y = [i[1] for i in labels.values()]\n", " ),\n", " link = dict(\n", " source = list(flows.source.replace(dict_indicators).values), # indices correspond to labels\n", " target = list(flows.target.replace(dict_indicators).values),\n", " value = list(flows.value.values)\n", " ))])\n", "\n", "fig.update_layout(title_text=\"Material Flow Sankey Diagram for European Union (27 countries) 2020\", font_size=10)\n", "fig.show()\n" ] }, { "cell_type": "markdown", "id": "9dc9a8ea", "metadata": {}, "source": [ "# Note: Tools for Producing Sankey Diagrams\n", "\n", "To visualize flows such as energy, materials, costs, or processes, Sankey diagrams can be created using several tools. Popular options include online platforms like SankeyMATIC (simple and fast), specialized visualization libraries such as D3.js and Plotly (flexible and programmable), and general-purpose software like Excel (with plugins), Tableau, or Power BI (integrated with broader analytics workflows). For scientific or engineering work, tools like e!Sankey or MATLAB offer more control and precision. Choose the tool based on how detailed, interactive, or reproducible your diagram needs to be." ] }, { "cell_type": "markdown", "id": "219cfbe8", "metadata": {}, "source": [] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "base", "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": "3.12.4" } }, "nbformat": 4, "nbformat_minor": 5 }