diff --git a/data/scenario_files/ISIMIP_wheat_Hedlung.csv b/data/scenario_files/ISIMIP_wheat_Hedlung.csv index 8acf947..1a1193b 100644 --- a/data/scenario_files/ISIMIP_wheat_Hedlung.csv +++ b/data/scenario_files/ISIMIP_wheat_Hedlung.csv @@ -1,168 +1,168 @@ -name, yield_change +name,yield_change Indonesia,NA Malaysia,NA -Chile,32.358410704726701 -Bolivia,2.4387397575638499 -Peru,54.821288678576103 -Argentina,11.620562301188601 -Cyprus,6.48571090898111 -India,3.62757484623079 -China,23.6693776566206 -Israel,34.287286388197003 -West Bank and Gaza,31.904096327228501 -Lebanon,40.019925878562503 -Ethiopia,25.241630248324501 -South Sudan,-2.6819750603505002 -Somalia,4.5053343802551202 -Kenya,26.873260348275501 -Pakistan,-17.963786677973701 -Malawi,22.7993365042887 -Tanzania,14.412508789526701 -Syrian Arab Republic,35.538325861252098 -France,20.990153531036899 +Chile,32.358410999999997 +Bolivia,2.4387400000000001 +Peru,54.821289000000000 +Argentina,11.620562000000000 +Cyprus,6.48571100000000 +India,3.62757500000000 +China,23.6693780000000 +Israel,34.287286000000002 +West Bank and Gaza,31.904095999999999 +Lebanon,40.019925999999998 +Ethiopia,25.241630000000001 +South Sudan,-2.6819750000000000 +Somalia,4.5053340000000004 +Kenya,26.873259999999998 +Pakistan,-17.963787000000000 +Malawi,22.7993370000000 +Tanzania,14.412509000000000 +Syrian Arab Republic,35.538325999999998 +France,20.990154000000000 Suriname,NA Guyana,NA -"Korea, Republic of",70.601963478947695 -"Korea, Democratic People's Republic of",31.798623371052301 -Morocco,68.885972849232203 +"Korea, Republic of",70.601962999999998 +"Korea, Democratic People's Republic of",31.798622999999999 +Morocco,68.885973000000007 Costa Rica,NA Nicaragua,NA "Congo, Rep. of",NA "Congo, Democratic Republic of",NA -Bhutan,3.0087311650106598 -Ukraine,16.0662116476941 -Belarus,21.959353297485801 +Bhutan,3.0087310000000000 +Ukraine,16.0662120000000 +Belarus,21.959353000000000 Namibia,NA -South Africa,15.138301753459899 +South Africa,15.138301999999999 Saint-Martin (Fr.),NA Sint Maarten (Neth.),NA -Oman,-31.681846973053499 -Uzbekistan,49.949765250462399 -Kazakhstan,29.819828415810601 -Tajikistan,69.972184309234905 -Lithuania,22.292777800514301 -Brazil,-0.94492748132172799 -Uruguay,15.387650050029899 -Mongolia,25.531471556372701 -Russian Federation,12.126237801308299 -Czech Republic,41.5287455074589 -Germany,28.457931399391601 -Estonia,29.2206019216828 -Latvia,21.117678962408899 -Norway,18.580468772501298 -Sweden,29.682740400318998 -Finland,27.462493579912199 -Vietnam,-16.093960256343902 +Oman,-31.681847000000001 +Uzbekistan,49.949764999999999 +Kazakhstan,29.819828000000001 +Tajikistan,69.972183999999999 +Lithuania,22.292777999999998 +Brazil,-0.94492699999999996 +Uruguay,15.387650000000001 +Mongolia,25.531472000000001 +Russian Federation,12.126238000000001 +Czech Republic,41.5287460000000 +Germany,28.457930999999999 +Estonia,29.2206020000000 +Latvia,21.117678999999999 +Norway,18.580469000000001 +Sweden,29.682739999999999 +Finland,27.462494000000000 +Vietnam,-16.093959999999999 Cambodia,NA -Luxembourg,33.254658507438997 +Luxembourg,33.254658999999997 United Arab Emirates,NA -Belgium,32.319794365746397 -Georgia,20.795021006111298 -North Macedonia,33.846686851836701 -Albania,36.023217941208998 -Azerbaijan,20.1643991697226 -Kosovo,34.219569578646698 -Turkey,44.236208765053398 -Spain,14.6193967218542 -Lao People's Democratic Republic,-1.75082668463869 -Kyrgyz Republic,35.240413149346502 -Armenia,15.4341312330255 -Denmark,31.0184282800112 -Libya,40.588567414359403 -Tunisia,19.4828848239964 -Romania,31.0402120380718 -Hungary,26.683622514671701 -Slovak Republic,33.5582469625149 -Poland,34.066961616128403 -Ireland,26.7723586480429 -United Kingdom,30.618183029428899 -Greece,42.234252391099297 -Zambia,9.0510598232982407 +Belgium,32.319794000000002 +Georgia,20.795020999999998 +North Macedonia,33.846687000000003 +Albania,36.023218000000000 +Azerbaijan,20.1643990000000 +Kosovo,34.219569999999997 +Turkey,44.236209000000002 +Spain,14.6193970000000 +Lao People's Democratic Republic,-1.75082700000000 +Kyrgyz Republic,35.240412999999997 +Armenia,15.4341310000000 +Denmark,31.0184280000000 +Libya,40.588566999999998 +Tunisia,19.4828850000000 +Romania,31.0402120000000 +Hungary,26.683623000000001 +Slovak Republic,33.5582470000000 +Poland,34.066961999999997 +Ireland,26.7723590000000 +United Kingdom,30.618182999999998 +Greece,42.234251999999998 +Zambia,9.0510599999999997 Sierra Leone,NA Guinea,NA Liberia,NA Central African Republic,NA -Sudan,-21.6042977183922 +Sudan,-21.6042980000000 Djibouti,NA -Eritrea,56.057103624893699 -Austria,41.056763047079102 -Iraq,37.897429429021699 -Italy,17.698017253527201 -Switzerland,28.373241138250801 -"Iran, Islamic Republic of",42.669060554843199 -Liechtenstein,34.109030288593303 +Eritrea,56.057104000000002 +Austria,41.056762999999997 +Iraq,37.897429000000002 +Italy,17.698017000000000 +Switzerland,28.373241000000000 +"Iran, Islamic Republic of",42.669060999999999 +Liechtenstein,34.109029999999997 Côte d'Ivoire,NA -Serbia,26.942793918873601 -Mali,-32.7046491118708 +Serbia,26.942793999999999 +Mali,-32.7046490000000 Senegal,NA -Nigeria,-8.4664246674795507 +Nigeria,-8.4664249999999992 Benin,NA Angola,NA -Croatia,28.368570383076602 -Slovenia,31.1505821956323 +Croatia,28.368569999999998 +Slovenia,31.1505820000000 Qatar,NA -Saudi Arabia,-28.959757924151301 -Botswana,5.0780928351544699 -Zimbabwe,-2.2958595545965799 -Bulgaria,26.285643382387601 -Thailand,-22.132569688450399 -San Marino,13.9550584424808 +Saudi Arabia,-28.959758000000001 +Botswana,5.0780930000000000 +Zimbabwe,-2.2958599999999998 +Bulgaria,26.285643000000000 +Thailand,-22.132570000000001 +San Marino,13.9550580000000 Haiti,NA Dominican Republic,NA Chad,NA -Kuwait,-34.221542601793601 +Kuwait,-34.221542999999997 El Salvador,NA -Guatemala,-10.21568300315 +Guatemala,-10.21568300000 Timor-Leste,NA Brunei Darussalam,NA -Monaco,14.408009898935999 -Algeria,9.3460573380801399 +Monaco,14.408010000000001 +Algeria,9.3460570000000001 Mozambique,NA eSwatini,NA -Burundi,11.9358468383183 -Rwanda,7.0938891864900899 -Myanmar,-9.7782770259674106 -Bangladesh,-21.047762871452701 -Andorra,31.989579778326501 -Afghanistan,41.285109310895798 -Montenegro,47.508221458669297 -Bosnia and Herzegovina,28.873728871242299 -Uganda,16.058472871856299 +Burundi,11.9358470000000 +Rwanda,7.0938889999999999 +Myanmar,-9.7782769999999992 +Bangladesh,-21.047763000000000 +Andorra,31.989580000000000 +Afghanistan,41.285108999999999 +Montenegro,47.508220999999999 +Bosnia and Herzegovina,28.873729000000001 +Uganda,16.058472999999999 Guantanamo Bay (US),NA Cuba,NA Honduras,NA -Ecuador,4.2064412891299998 -Colombia,0.82151247907165503 -Paraguay,-13.2149170895125 -Portugal,12.361749162875 -Moldova,22.506146440533399 -Turkmenistan,40.048035833092001 -Jordan,7.0330140936566901 -Nepal,36.429410341180599 -Lesotho,12.903362453528899 +Ecuador,4.2064409999999999 +Colombia,0.82151200000000002 +Paraguay,-13.2149170000000 +Portugal,12.361749000000 +Moldova,22.506146000000001 +Turkmenistan,40.048036000000003 +Jordan,7.0330139999999997 +Nepal,36.429409999999997 +Lesotho,12.903362000000000 Cameroon,NA Gabon,NA -Niger,-15.3445109144195 +Niger,-15.3445110000000 Burkina Faso,NA Togo,NA Ghana,NA Guinea-Bissau,NA Gibraltar (UK),NA -United States of America,28.2653328857538 -Canada,11.8973798612514 -Mexico,-16.980078221829299 +United States of America,28.2653330000000 +Canada,11.8973800000000 +Mexico,-16.980077999999999 Belize,NA Panama,NA "Venezuela, Republica Bolivariana de",NA Papua New Guinea,NA -"Egypt, Arab Republic of",8.9351866478924808 -"Yemen, Republic of",17.1786739192145 +"Egypt, Arab Republic of",8.9351870000000009 +"Yemen, Republic of",17.1786740000000 Mauritania,NA Equatorial Guinea,NA "Gambia, The",NA "Hong Kong (SAR, China)",NA -Vatican City,0.261013478069543 -Australia,50.777502650496302 +Vatican City,0.261013000000000 +Australia,50.777503000000003 Greenland (Den.),NA Fiji,NA New Caledonia (Fr.),NA @@ -173,7 +173,7 @@ Curaçao (Neth.),NA Aruba (Neth.),NA "Bahamas, The",NA Turks and Caicos Islands (UK),NA -Japan,53.335183137638801 +Japan,53.335183000000001 Saint-Pierre-et-Miquelon (Fr.),NA Iceland,NA Pitcairn Islands (UK),NA @@ -236,7 +236,7 @@ Clipperton Island (Fr.),NA Bonaire (Neth.),NA Sint Eustatius (Neth.),NA Saba (Neth.),NA -Netherlands,32.2057535537555 +Netherlands,32.2057540000000 Cocos (Keeling) Islands (Aus.),NA Christmas Island (Aus.),NA Johnston Atoll (US),NA @@ -249,4 +249,5 @@ Navassa Island (US),NA Palmyra Atoll (US),NA Kingman Reef (US),NA Tokelau (NZ),NA -New Zealand,25.7150978328823 +New Zealand,25.7150980000000 + diff --git a/data/validation_data_from_Hedlung_2022/Ex_15_third percentile_climate impacts.csv b/data/validation_data_from_Hedlung_2022/Ex_15_third percentile_climate impacts.csv new file mode 100644 index 0000000..fbb3a1f --- /dev/null +++ b/data/validation_data_from_Hedlung_2022/Ex_15_third percentile_climate impacts.csv @@ -0,0 +1,113 @@ +origin\destination,Armenia,Afghanistan,Albania,Algeria,Argentina,Australia,Austria,Bangladesh,Bhutan,Bolivia (Plurinational State of),Botswana,Brazil,Bulgaria,Myanmar,Burundi,Canada,Chile,China,Colombia,Cyprus,Azerbaijan,Denmark,Belarus,Ecuador,Egypt,Estonia,Finland,France,Georgia,Germany,Bosnia and Herzegovina,Greenland,Guatemala,Hungary,Croatia,India,Iran (Islamic Republic of),Iraq,Ireland,Israel,Italy,Kazakhstan,Japan,Jordan,Kyrgyzstan,Kenya,Democratic People's Republic of Korea,Republic of Korea,Kuwait,Latvia,Lao People's Democratic Republic,Lebanon,Lesotho,Libya,Lithuania,Malawi,Mali,Mexico,Mongolia,Morocco,Republic of Moldova,Nepal,Netherlands,North Macedonia,New Zealand,Niger,Nigeria,Norway,Pakistan,Czechia,Paraguay,Peru,Poland,Portugal,Eritrea,Zimbabwe,Romania,Rwanda,Russian Federation,Saudi Arabia,Slovenia,Slovakia,Somalia,South Africa,Spain,Tajikistan,Sweden,Switzerland,Syrian Arab Republic,Turkmenistan,United Republic of Tanzania,Thailand,Oman,Tunisia,Turkey,Uganda,United Kingdom of Great Britain and Northern Ireland,Ukraine,United States of America,Uruguay,Uzbekistan,Viet Nam,Ethiopia,Yemen,Zambia,Belgium,Luxembourg,Serbia,Montenegro,Sudan,South Sudan,Palestine,,,,, 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source: "src/preprocessing.py" - functions: - - rename_item - - read_faostat_bulk - - serialise_faostat_bulk - - _prep_trade_matrix - - _prep_production_vector - - _unify_indices - - format_prod_trad_data - - rename_countries - - remove_entries_from_data - diff --git a/results/figures/Wheat_Y2018_Global__ISIMIP_trade_communities.png b/results/figures/Wheat_Y2018_Global__ISIMIP_trade_communities.png index 0e59c43..8cf0f72 100644 Binary files a/results/figures/Wheat_Y2018_Global__ISIMIP_trade_communities.png and b/results/figures/Wheat_Y2018_Global__ISIMIP_trade_communities.png differ diff --git a/results/figures/Wheat_Y2018_Global__ISIMIP_with_country_subset_trade_communities.png b/results/figures/Wheat_Y2018_Global__ISIMIP_with_country_subset_trade_communities.png new file mode 100644 index 0000000..1ec8b57 Binary files /dev/null and b/results/figures/Wheat_Y2018_Global__ISIMIP_with_country_subset_trade_communities.png differ diff --git a/results/figures/Wheat_Y2018_Global_no_scenario_trade_communities.png b/results/figures/Wheat_Y2018_Global_no_scenario_trade_communities.png index 559056c..47bd2a7 100644 Binary files a/results/figures/Wheat_Y2018_Global_no_scenario_trade_communities.png and b/results/figures/Wheat_Y2018_Global_no_scenario_trade_communities.png differ diff --git a/results/figures/Wheat_Y2018_Global_no_scenario_with_countries_removed_trade_communities.png b/results/figures/Wheat_Y2018_Global_no_scenario_with_countries_removed_trade_communities.png new file mode 100644 index 0000000..166ce44 Binary files /dev/null and b/results/figures/Wheat_Y2018_Global_no_scenario_with_countries_removed_trade_communities.png differ diff --git a/results/figures/Wheat_Y2018_Global_no_scenario_with_country_subset_trade_communities.png b/results/figures/Wheat_Y2018_Global_no_scenario_with_country_subset_trade_communities.png new file mode 100644 index 0000000..b09023b Binary files /dev/null and b/results/figures/Wheat_Y2018_Global_no_scenario_with_country_subset_trade_communities.png differ diff --git a/scripts/ISIMIP_example.ipynb b/scripts/ISIMIP_example.ipynb index daf5277..cc02c2a 100644 --- a/scripts/ISIMIP_example.ipynb +++ b/scripts/ISIMIP_example.ipynb @@ -7,7 +7,8 @@ "outputs": [], "source": [ "from src.model import PyTradeShifts\n", - "import os" + "import os\n", + "import numpy as np" ] }, { @@ -42,14 +43,12 @@ "output_type": "stream", "text": [ "Loaded data for Wheat in Y2018.\n", - "Removed countries with trade below the 75th percentile.\n", - "Removed community {'Bhutan'} with only one country.\n", - "Removed community {'Niger'} with only one country.\n" + "Removed countries with trade below the 75th percentile.\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -64,8 +63,449 @@ " base_year=2018,\n", " scenario_file_name=\"ISIMIP_wheat_Hedlung.csv\",\n", " scenario_name=\"ISIMIP\",\n", + " countries_to_remove=[\"USA\", \"Russia\"],\n", ")\n" ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "104" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(ISIMIP.trade_matrix.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import country_converter as coco\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "ParserError", + "evalue": "Expected 13 fields in line 4, saw 14. Error could possibly be due to quotes being ignored when a multi-char delimiter is used.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mParserError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_clipboard(index_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/clipboards.py:129\u001b[0m, in \u001b[0;36mread_clipboard\u001b[0;34m(sep, dtype_backend, **kwargs)\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(sep) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m kwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mengine\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mc\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 124\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m 125\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mread_clipboard with regex separator does not work properly with c engine.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 126\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39mfind_stack_level(),\n\u001b[1;32m 127\u001b[0m )\n\u001b[0;32m--> 129\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m read_csv(StringIO(text), sep\u001b[38;5;241m=\u001b[39msep, dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/parsers/readers.py:948\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend)\u001b[0m\n\u001b[1;32m 935\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m 936\u001b[0m dialect,\n\u001b[1;32m 937\u001b[0m delimiter,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 944\u001b[0m dtype_backend\u001b[38;5;241m=\u001b[39mdtype_backend,\n\u001b[1;32m 945\u001b[0m )\n\u001b[1;32m 946\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 948\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _read(filepath_or_buffer, kwds)\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/parsers/readers.py:617\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 614\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\n\u001b[1;32m 616\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m parser:\n\u001b[0;32m--> 617\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m parser\u001b[38;5;241m.\u001b[39mread(nrows)\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/parsers/readers.py:1748\u001b[0m, in \u001b[0;36mTextFileReader.read\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m 1741\u001b[0m nrows \u001b[38;5;241m=\u001b[39m validate_integer(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnrows\u001b[39m\u001b[38;5;124m\"\u001b[39m, nrows)\n\u001b[1;32m 1742\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1743\u001b[0m \u001b[38;5;66;03m# error: \"ParserBase\" has no attribute \"read\"\u001b[39;00m\n\u001b[1;32m 1744\u001b[0m (\n\u001b[1;32m 1745\u001b[0m index,\n\u001b[1;32m 1746\u001b[0m columns,\n\u001b[1;32m 1747\u001b[0m col_dict,\n\u001b[0;32m-> 1748\u001b[0m ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mread( \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[1;32m 1749\u001b[0m nrows\n\u001b[1;32m 1750\u001b[0m )\n\u001b[1;32m 1751\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m 1752\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/parsers/python_parser.py:286\u001b[0m, in \u001b[0;36mPythonParser.read\u001b[0;34m(self, rows)\u001b[0m\n\u001b[1;32m 283\u001b[0m indexnamerow \u001b[38;5;241m=\u001b[39m content[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 284\u001b[0m content \u001b[38;5;241m=\u001b[39m content[\u001b[38;5;241m1\u001b[39m:]\n\u001b[0;32m--> 286\u001b[0m alldata \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_rows_to_cols(content)\n\u001b[1;32m 287\u001b[0m data, columns \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exclude_implicit_index(alldata)\n\u001b[1;32m 289\u001b[0m conv_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_convert_data(data)\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/parsers/python_parser.py:1058\u001b[0m, in \u001b[0;36mPythonParser._rows_to_cols\u001b[0;34m(self, content)\u001b[0m\n\u001b[1;32m 1052\u001b[0m reason \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m 1053\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError could possibly be due to quotes being \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1054\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignored when a multi-char delimiter is used.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1055\u001b[0m )\n\u001b[1;32m 1056\u001b[0m msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m reason\n\u001b[0;32m-> 1058\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_alert_malformed(msg, row_num \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 1060\u001b[0m \u001b[38;5;66;03m# see gh-13320\u001b[39;00m\n\u001b[1;32m 1061\u001b[0m zipped_content \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(lib\u001b[38;5;241m.\u001b[39mto_object_array(content, min_width\u001b[38;5;241m=\u001b[39mcol_len)\u001b[38;5;241m.\u001b[39mT)\n", + "File \u001b[0;32m~/local/anaconda3/envs/pytradeshifts/lib/python3.12/site-packages/pandas/io/parsers/python_parser.py:779\u001b[0m, in \u001b[0;36mPythonParser._alert_malformed\u001b[0;34m(self, msg, row_num)\u001b[0m\n\u001b[1;32m 762\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 763\u001b[0m \u001b[38;5;124;03mAlert a user about a malformed row, depending on value of\u001b[39;00m\n\u001b[1;32m 764\u001b[0m \u001b[38;5;124;03m`self.on_bad_lines` enum.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;124;03m even though we 0-index internally.\u001b[39;00m\n\u001b[1;32m 777\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 778\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mon_bad_lines \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mBadLineHandleMethod\u001b[38;5;241m.\u001b[39mERROR:\n\u001b[0;32m--> 779\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ParserError(msg)\n\u001b[1;32m 780\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mon_bad_lines \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mBadLineHandleMethod\u001b[38;5;241m.\u001b[39mWARN:\n\u001b[1;32m 781\u001b[0m base \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSkipping line \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mrow_num\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "\u001b[0;31mParserError\u001b[0m: Expected 13 fields in line 4, saw 14. Error could possibly be due to quotes being ignored when a multi-char delimiter is used." + ] + } + ], + "source": [ + "df = pd.read_clipboard(index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hedlung_names = coco.convert(names=df.index, to=\"name_short\", not_found=None)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(hedlung_names)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Compare hedlung names to ISIMIP names and print where they don't match\n", + "for name in hedlung_names:\n", + " if name not in ISIMIP.trade_matrix.columns:\n", + " print(name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Afghanistan\n", + "Albania\n", + "Algeria\n", + "Argentina\n", + "Armenia\n", + "Australia\n", + "Austria\n", + "Azerbaijan\n", + "Bangladesh\n", + "Belarus\n", + "Belgium\n", + "Bolivia\n", + "Bosnia and Herzegovina\n", + "Botswana\n", + "Brazil\n", + "Bulgaria\n", + "Burundi\n", + "Canada\n", + "Chile\n", + "China\n", + "Colombia\n", + "Croatia\n", + "Cyprus\n", + "Czechia\n", + "Denmark\n", + "Ecuador\n", + "Egypt\n", + "Eritrea\n", + "Estonia\n", + "Ethiopia\n", + "Finland\n", + "France\n", + "Georgia\n", + "Germany\n", + "Greece\n", + "Guatemala\n", + "Hungary\n", + "India\n", + "Iran\n", + "Iraq\n", + "Ireland\n", + "Israel\n", + "Italy\n", + "Japan\n", + "Jordan\n", + "Kazakhstan\n", + "Kenya\n", + "Kuwait\n", + "Kyrgyz Republic\n", + "Laos\n", + "Latvia\n", + "Lebanon\n", + "Lesotho\n", + "Libya\n", + "Lithuania\n", + "Luxembourg\n", + "Malawi\n", + "Mali\n", + "Mexico\n", + "Moldova\n", + "Mongolia\n", + "Montenegro\n", + "Morocco\n", + "Myanmar\n", + "Nepal\n", + "Netherlands\n", + "New Zealand\n", + "Nigeria\n", + "North Macedonia\n", + "Norway\n", + "Oman\n", + "Pakistan\n", + "Paraguay\n", + "Peru\n", + "Poland\n", + "Portugal\n", + "Romania\n", + "Rwanda\n", + "Saudi Arabia\n", + "Serbia\n", + "Slovakia\n", + "Somalia\n", + "South Africa\n", + "South Korea\n", + "Spain\n", + "Sudan\n", + "Sweden\n", + "Switzerland\n", + "Syria\n", + "Tajikistan\n", + "Tanzania\n", + "Thailand\n", + "Tunisia\n", + "Turkmenistan\n", + "Türkiye\n", + "Uganda\n", + "Ukraine\n", + "United Kingdom\n", + "Uruguay\n", + "Uzbekistan\n", + "Vietnam\n", + "Yemen\n", + "Zambia\n", + "Zimbabwe\n" + ] + } + ], + "source": [ + "# now the other way around\n", + "for name in ISIMIP.trade_matrix.columns:\n", + " if name not in hedlung_names:\n", + " print(name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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AfghanistanAlbaniaAlgeriaArgentinaArmeniaAustraliaAustriaAzerbaijanBangladeshBelarus...TürkiyeUgandaUkraineUnited KingdomUruguayUzbekistanVietnamYemenZambiaZimbabwe
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" + ], + "text/plain": [ + " Afghanistan Albania Algeria Argentina Armenia \\\n", + "Afghanistan 0.0 0.0 0.000000e+00 0.0 0.0 \n", + "Albania 0.0 0.0 0.000000e+00 0.0 0.0 \n", + "Algeria 0.0 0.0 0.000000e+00 0.0 0.0 \n", + "Argentina 0.0 0.0 1.452888e+06 0.0 0.0 \n", + "Armenia 0.0 0.0 0.000000e+00 0.0 0.0 \n", + "\n", + " Australia Austria Azerbaijan Bangladesh Belarus ... \\\n", + "Afghanistan 0.0 0.0 0.0 0.000000 0.0 ... \n", + "Albania 0.0 0.0 0.0 0.000000 0.0 ... \n", + "Algeria 0.0 0.0 0.0 0.000000 0.0 ... \n", + "Argentina 0.0 0.0 0.0 275090.275569 0.0 ... \n", + "Armenia 0.0 0.0 0.0 0.000000 0.0 ... \n", + "\n", + " Türkiye Uganda Ukraine United Kingdom Uruguay \\\n", + "Afghanistan 0.0 0.000000 0.0 0.000000 0.000000 \n", + "Albania 0.0 0.000000 0.0 0.000000 0.000000 \n", + "Algeria 0.0 0.000000 0.0 0.000000 0.000000 \n", + "Argentina 0.0 82073.301434 0.0 123.856249 479.514222 \n", + "Armenia 0.0 0.000000 0.0 0.000000 0.000000 \n", + "\n", + " Uzbekistan Vietnam Yemen Zambia Zimbabwe \n", + "Afghanistan 0.0 0.000000 0.0 0.0 0.000000 \n", + "Albania 0.0 0.000000 0.0 0.0 0.000000 \n", + "Algeria 0.0 0.000000 0.0 0.0 0.000000 \n", + "Argentina 0.0 240408.283674 0.0 0.0 174.662807 \n", + "Armenia 0.0 0.000000 0.0 0.0 0.000000 \n", + "\n", + "[5 rows x 104 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trade = ISIMIP.trade_matrix\n", + "np.fill_diagonal(trade.values, 0)\n", + "trade.head()" + ] } ], "metadata": { diff --git a/scripts/testing.ipynb b/scripts/testing.ipynb index 338234b..00dc970 100644 --- a/scripts/testing.ipynb +++ b/scripts/testing.ipynb @@ -12,7 +12,8 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import networkx as nx\n", - "import seaborn as sns \n" + "import seaborn as sns \n", + "import country_converter as coco" ] }, { @@ -43,13 +44,155 @@ "metadata": {}, "outputs": [], "source": [ - "Wheat2018 = PyTradeShifts(\"Wheat\", 2018, region=\"Global\", testing=True)" + "ISIMIP = pd.read_csv(\".\" + \"/data/scenario_files/ISIMIP_wheat_Hedlung.csv\", index_col=0)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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yield_change
name
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MalaysiaNaN
Chile32.358411
Bolivia2.438740
Peru54.821289
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"output_type": "stream", "text": [ "Removed community {'Bhutan'} with only one country.\n", - "Removed community {'Chad'} with only one country.\n", - "Removed community {'Madagascar'} with only one country.\n", "Removed community {'Niger'} with only one country.\n" ] } @@ -138,12 +909,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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ArmeniaAfghanistanAlbaniaAlgeriaArgentinaAustraliaAustriaBangladeshBhutanBolivia (Plurinational State of)...EthiopiaYemenZambiaBelgiumLuxembourgSerbiaMontenegroSudanSouth SudanPalestine
count112.000000112.000000112.0000001.120000e+02112.000000112.000000112.0000001.120000e+02112.0112.000000...112.0000001.120000e+02112.0000001.120000e+02112.000000112.000000112.0000001.120000e+02112.000000112.000000
mean2430.8630923856.9107002394.6696247.519687e+040.0196520.5891615706.0982114.320811e+040.0678.499995...7209.3303282.715717e+0471.9642712.789911e+04928.75742081.100667202.5720952.237684e+040.01782440.142823
std25319.10482536454.25365518450.5642585.321423e+050.1962344.42153731793.0571532.174046e+050.07178.566764...38756.1937271.487917e+05633.7115392.214306e+056258.367289528.0496631559.9419612.031711e+050.120622423.362574
min0.0000000.0000000.0000000.000000e+000.0000000.0000000.0000000.000000e+000.00.000000...0.0000000.000000e+000.0000000.000000e+000.0000000.0000000.0000000.000000e+000.0000000.000000
25%0.0000000.0000000.0000000.000000e+000.0000000.0000000.0000000.000000e+000.00.000000...0.0000000.000000e+000.0000000.000000e+000.0000000.0000000.0000000.000000e+000.0000000.000000
50%0.0000000.0000000.0000000.000000e+000.0000000.0000000.0000000.000000e+000.00.000000...0.0000000.000000e+000.0000002.050800e-030.0000000.0000000.0000000.000000e+000.0000000.000000
75%0.0015310.0119820.8541151.223233e+020.0000000.0000004.0789002.210875e-010.00.000000...1.4435502.946300e+000.5779232.098263e+025.4803000.0303710.0003305.287250e-010.0000000.000000
max267973.915900384867.226600182890.6538005.412940e+062.07400043.542300279444.6946001.856002e+060.075970.997800...254621.8903001.346143e+066696.1072002.295428e+0661150.0873004071.41680014428.4878002.144662e+061.2131004480.561400
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" + ], + "text/plain": [ + " Armenia Afghanistan Albania Algeria Argentina \\\n", + "count 112.000000 112.000000 112.000000 1.120000e+02 112.000000 \n", + "mean 2430.863092 3856.910700 2394.669624 7.519687e+04 0.019652 \n", + "std 25319.104825 36454.253655 18450.564258 5.321423e+05 0.196234 \n", + "min 0.000000 0.000000 0.000000 0.000000e+00 0.000000 \n", + "25% 0.000000 0.000000 0.000000 0.000000e+00 0.000000 \n", + "50% 0.000000 0.000000 0.000000 0.000000e+00 0.000000 \n", + "75% 0.001531 0.011982 0.854115 1.223233e+02 0.000000 \n", + "max 267973.915900 384867.226600 182890.653800 5.412940e+06 2.074000 \n", + "\n", + " Australia Austria Bangladesh Bhutan \\\n", + "count 112.000000 112.000000 1.120000e+02 112.0 \n", + "mean 0.589161 5706.098211 4.320811e+04 0.0 \n", + "std 4.421537 31793.057153 2.174046e+05 0.0 \n", + "min 0.000000 0.000000 0.000000e+00 0.0 \n", + "25% 0.000000 0.000000 0.000000e+00 0.0 \n", + "50% 0.000000 0.000000 0.000000e+00 0.0 \n", + "75% 0.000000 4.078900 2.210875e-01 0.0 \n", + "max 43.542300 279444.694600 1.856002e+06 0.0 \n", + "\n", + " Bolivia (Plurinational State of) ... Ethiopia Yemen \\\n", + "count 112.000000 ... 112.000000 1.120000e+02 \n", + "mean 678.499995 ... 7209.330328 2.715717e+04 \n", + "std 7178.566764 ... 38756.193727 1.487917e+05 \n", + "min 0.000000 ... 0.000000 0.000000e+00 \n", + "25% 0.000000 ... 0.000000 0.000000e+00 \n", + "50% 0.000000 ... 0.000000 0.000000e+00 \n", + "75% 0.000000 ... 1.443550 2.946300e+00 \n", + "max 75970.997800 ... 254621.890300 1.346143e+06 \n", + "\n", + " Zambia Belgium Luxembourg Serbia Montenegro \\\n", + "count 112.000000 1.120000e+02 112.000000 112.000000 112.000000 \n", + "mean 71.964271 2.789911e+04 928.757420 81.100667 202.572095 \n", + "std 633.711539 2.214306e+05 6258.367289 528.049663 1559.941961 \n", + "min 0.000000 0.000000e+00 0.000000 0.000000 0.000000 \n", + "25% 0.000000 0.000000e+00 0.000000 0.000000 0.000000 \n", + "50% 0.000000 2.050800e-03 0.000000 0.000000 0.000000 \n", + "75% 0.577923 2.098263e+02 5.480300 0.030371 0.000330 \n", + "max 6696.107200 2.295428e+06 61150.087300 4071.416800 14428.487800 \n", + "\n", + " Sudan South Sudan Palestine \n", + "count 1.120000e+02 112.000000 112.000000 \n", + "mean 2.237684e+04 0.017824 40.142823 \n", + "std 2.031711e+05 0.120622 423.362574 \n", + "min 0.000000e+00 0.000000 0.000000 \n", + "25% 0.000000e+00 0.000000 0.000000 \n", + "50% 0.000000e+00 0.000000 0.000000 \n", + "75% 5.287250e-01 0.000000 0.000000 \n", + "max 2.144662e+06 1.213100 4480.561400 \n", + "\n", + "[8 rows x 112 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/src/model.py b/src/model.py index 330d1d8..796e527 100644 --- a/src/model.py +++ b/src/model.py @@ -36,6 +36,13 @@ class PyTradeShifts: If None, no scenario is applied. with_preprocessing (bool, optional): Whether to run the preprocessing or not. + countries_to_remove (list, optional): A list of countries to remove + from the trade matrix. All other countries are kept. + countries_to_keep (list, optional): A list of countries to keep in + the trade matrix. All other countries are removed. + keep_singletons (bool, optional): Whether to keep the communities + with only one country or not. If False, these communities are + removed. Returns: None @@ -51,6 +58,9 @@ def __init__( scenario_name=None, scenario_file_name=None, with_preprocessing=False, + countries_to_remove=None, + countries_to_keep=None, + keep_singletons=False, ): # Save the arguments self.crop = crop @@ -59,6 +69,9 @@ def __init__( self.region = region self.scenario_name = scenario_name self.scenario_file_name = scenario_file_name + self.countries_to_remove = countries_to_remove + self.countries_to_keep = countries_to_keep + self.keep_singletons = keep_singletons # State variables to keep track of the progress self.prebalanced = False self.reexports_corrected = False @@ -83,6 +96,13 @@ def __init__( self.prebalance() # Remove re-exports self.correct_reexports() + # Set the diagonal to zero + self.set_diagonal_to_zero() + # Remove countries + if self.countries_to_remove is not None: + self.remove_countries() + if self.countries_to_keep is not None: + self.remove_countries_except() # Remove countries with low trade self.remove_below_percentile() if scenario_name is not None: @@ -142,6 +162,76 @@ def load_data(self): self.trade_matrix = trade_matrix self.production_data = production_data + def remove_countries(self): + """ + Removes countries from the trade matrix and production data. + + Arguments: + None + + Returns: + None + """ + assert self.trade_matrix is not None + assert self.production_data is not None + assert self.countries_to_remove is not None + assert isinstance(self.countries_to_remove, list) + # Convert the country names to the same format as in the trade matrix + cc = coco.CountryConverter() + self.countries_to_remove = cc.pandas_convert( + pd.Series(self.countries_to_remove), to="name_short" + ).to_list() + + # Take the index of the trade matrix and production data and remove all the countries + # in self.countries_to_remove + countries_to_keep = [ + country for country in self.trade_matrix.index if country not in self.countries_to_remove + ] + self.trade_matrix = self.trade_matrix.loc[countries_to_keep, :]# countries_to_keep] + # Now also remove the columns from the trade matrix which have no trade anymore + + # Now also remove the columns from the trade matrix which have no trade anymore + col_sums = self.trade_matrix.sum(axis=0) + b_filter = ~(col_sums.eq(0)) + self.trade_matrix = self.trade_matrix.loc[:, b_filter] + + self.production_data = self.production_data.loc[countries_to_keep] + + + def remove_countries_except(self): + """ + Removes all countries from the trade matrix and production data except for the ones + in self.countries_to_keep. + + Arguments: + None + + Returns: + None + """ + assert self.trade_matrix is not None + assert self.production_data is not None + assert self.countries_to_keep is not None + assert isinstance(self.countries_to_keep, list) + # Convert the country names to the same format as in the trade matrix + cc = coco.CountryConverter() + self.countries_to_keep = cc.pandas_convert( + pd.Series(self.countries_to_keep), to="name_short" + ).to_list() + + # Take the index of the trade matrix and production data and remove all the countries + # in self.countries_to_remove + keep = [ + country for country in self.trade_matrix.index if country in self.countries_to_keep + ] + self.trade_matrix = self.trade_matrix.loc[keep, :] + # Now also remove the columns from the trade matrix which have no trade anymore + col_sums = self.trade_matrix.sum(axis=0) + b_filter = ~(col_sums.eq(0)) + self.trade_matrix = self.trade_matrix.loc[:, b_filter] + + self.production_data = self.production_data.loc[keep] + def remove_below_percentile(self): """ Removes countries with trade below a certain percentile. @@ -156,6 +246,7 @@ def remove_below_percentile(self): assert self.trade_matrix is not None assert self.percentile is not None assert self.threshold is None + # Calculate the percentile out of all values in the trade matrix. This # only considers the values above 0. threshold = np.percentile( @@ -289,6 +380,22 @@ def correct_reexports(self): R, index=self.trade_matrix.index, columns=self.trade_matrix.columns ) + def set_diagonal_to_zero(self): + """ + Sets the diagonal of the trade matrix to zero. + This is needed for the scenario analysis. + + Arguments: + None + + Returns: + None + """ + assert self.trade_matrix is not None + # Set the diagonal to zero + np.fill_diagonal(self.trade_matrix.values, 0) + + def apply_scenario(self): """ Loads the scenario files unifies the names and applies the scenario to the trade matrix. @@ -402,7 +509,7 @@ def build_graph(self): self.trade_graph = trade_graph - def find_trade_communities(self, keep_singletons=False): + def find_trade_communities(self): """ Finds the trade communities in the trade graph using the Louvain algorithm. @@ -418,7 +525,7 @@ def find_trade_communities(self, keep_singletons=False): trade_communities = nx.community.louvain_communities(self.trade_graph, seed=1) # Remove all the communities with only one country and print the names of the # communities that are removed - if keep_singletons: + if self.keep_singletons: print("Keeping communities with only one country.") else: for community in list(trade_communities): @@ -484,6 +591,16 @@ def plot_trade_communities(self): ) plot_winkel_tripel_map(ax) + # Add the countries which were removed from the trade matrix as shaded + # countries + if self.countries_to_remove is not None: + # Convert the country names to the same format as in the trade matrix + self.countries_to_remove = cc.pandas_convert( + pd.Series(self.countries_to_remove), to="name_short" + ).to_list() + world.loc[ + world["names_short"].isin(self.countries_to_remove), "geometry" + ].plot(ax=ax, color="grey", hatch="xxx", alpha=0.5, edgecolor="black") # Add a title with self.scenario_name if applicable ax.set_title( @@ -491,7 +608,12 @@ def plot_trade_communities(self): + ( f" in scenario: {self.scenario_name}" if self.scenario_name is not None - else "(no scenario)" + else " (no scenario)" + ) + + ( + " with country subset" + if self.countries_to_remove is not None or self.countries_to_keep is not None + else "" ) ) @@ -509,6 +631,11 @@ def plot_trade_communities(self): if self.scenario_name is not None else "no_scenario" ) + + ( + "_with_country_subset" + if self.countries_to_remove is not None or self.countries_to_keep is not None + else "" + ) + "_trade_communities.png", dpi=300, bbox_inches="tight", diff --git a/tests/test_model.py b/tests/test_model.py index 52f6fb6..aca2d8a 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -2,6 +2,8 @@ import pandas as pd import os import numpy as np +from src.preprocessing import rename_countries +import country_converter as coco def loading(region): @@ -170,6 +172,19 @@ def reexport(region): index_col=0, ) + # Convert all entries in index and columns to strings + wheat2018_from_R.index = wheat2018_from_R.index.astype(int) + wheat2018_from_R.columns = wheat2018_from_R.columns.astype(int) + + # Rename the R names to match the Python names + wheat2018_from_R = rename_countries( + wheat2018_from_R, region, "Trade_DetailedTradeMatrix_E", "Area Code" + ) + + # Sort the index and columns + wheat2018_from_R.sort_index(inplace=True) + wheat2018_from_R = wheat2018_from_R[sorted(wheat2018_from_R.columns)] + # Compare the results assert wheat2018_from_R.shape == Wheat2018.trade_matrix.shape # Comparing the sum this has only be correct to 2 decimal places @@ -181,6 +196,21 @@ def reexport(region): Wheat2018.trade_matrix.median().median(), 2 ) + # Compare the sorted trade matrix with the sorted R matrix + trade_matrix_sorted = Wheat2018.trade_matrix.sort_index() + trade_matrix_sorted = trade_matrix_sorted[sorted(trade_matrix_sorted.columns)] + + if region == "Global": + assert wheat2018_from_R.index.equals(trade_matrix_sorted.index) + assert wheat2018_from_R.columns.equals(trade_matrix_sorted.columns) + + # Check if the values if they are rounded to 2 decimal places + # First round the whole matrix to 2 decimal places + wheat2018_from_R = wheat2018_from_R.round(2) + trade_matrix_sorted = trade_matrix_sorted.round(2) + + assert (wheat2018_from_R == trade_matrix_sorted).all(axis=None) + def test_reexport_oceania(): """ @@ -198,17 +228,20 @@ def test_reexport_global(): reexport("Global") -def removing_low_trade_countries(region): +def test_removing_countries(): """ - Runs the model with prebalancing, prebalancing, removing re-exports - and removing countries with low trade and check if this worked out. + Runs the model and removes countries to check if this works """ - Wheat2018 = PyTradeShifts("Wheat", 2018, region=region, testing=True) + Wheat2018 = PyTradeShifts( + "Wheat", 2018, region="Global", testing=True, countries_to_remove=[ + "Australia", "Bangladesh" + ] + ) # Load the data Wheat2018.load_data() - # Remove countries with zero trade + # Remove countries with zero trade and zero production Wheat2018.remove_net_zero_countries() # Run the prebalancing @@ -217,33 +250,97 @@ def removing_low_trade_countries(region): # Reexport Wheat2018.correct_reexports() - # Remove countries with low trade - Wheat2018.remove_below_percentile() + assert "Australia" in list(Wheat2018.trade_matrix.index) + assert "Bangladesh" in list(Wheat2018.trade_matrix.index) - print(Wheat2018.trade_matrix.shape) + shape_before = Wheat2018.trade_matrix.shape + + # Remove countries + Wheat2018.remove_countries() - if region == "Oceania": - assert Wheat2018.threshold == 0.1 - assert Wheat2018.trade_matrix.shape == (1, 2) - elif region == "Global": - assert Wheat2018.threshold == 165.372 - assert Wheat2018.trade_matrix.shape == (1, 2) + assert "Australia" not in list(Wheat2018.trade_matrix.index) + assert "Bangladesh" not in list(Wheat2018.trade_matrix.index) + assert Wheat2018.trade_matrix.shape[0] == shape_before[0] - 2 -def test_removing_low_trade_countries_oceania(): + +def test_removing_countries_except(): """ - Runs the model with prebalancing, prebalancing, removing re-exports - and removing countries with low trade and check if this worked out. + Tests if removing countries except works """ - removing_low_trade_countries("Oceania") + Wheat2018 = PyTradeShifts( + "Wheat", 2018, region="Global", testing=True, countries_to_keep=[ + "Australia", "Bangladesh" + ] + ) + + # Load the data + Wheat2018.load_data() + + # Remove countries with zero trade and zero production + Wheat2018.remove_net_zero_countries() + + # Run the prebalancing + Wheat2018.prebalance() + + # Reexport + Wheat2018.correct_reexports() + + assert "Australia" in list(Wheat2018.trade_matrix.index) + assert "Bangladesh" in list(Wheat2018.trade_matrix.index) + assert "Germany" in list(Wheat2018.trade_matrix.index) + + # Remove countries + Wheat2018.remove_countries_except() + assert "Australia" in list(Wheat2018.trade_matrix.index) + assert "Bangladesh" in list(Wheat2018.trade_matrix.index) + assert "Germany" not in list(Wheat2018.trade_matrix.index) -def test_removing_low_trade_countries_global(): + assert Wheat2018.trade_matrix.shape == (2, 2) + + +def test_removing_low_trade_countries(): """ Runs the model with prebalancing, prebalancing, removing re-exports and removing countries with low trade and check if this worked out. """ - removing_low_trade_countries("Global") + # Remove the countries which don't have ISIMIP data, as + # Johanna Hedlund did in her analysis for determining the global threshold + ISIMIP = pd.read_csv("data/scenario_files/ISIMIP_wheat_Hedlung.csv", index_col=0) + # Get only those countries with NaNs in the ISIMIP data + nan_indices = ISIMIP.index[ISIMIP.iloc[:, 0].isnull()].tolist() + + Wheat2018 = PyTradeShifts( + "Wheat", 2018, region="Global", testing=True, countries_to_remove=nan_indices + ) + + # Load the data + Wheat2018.load_data() + + # Remove countries with zero trade + Wheat2018.remove_net_zero_countries() + + # Run the prebalancing + Wheat2018.prebalance() + + # Reexport + Wheat2018.correct_reexports() + + # Remove countries + Wheat2018.remove_countries() + + # Remove countries with low trade + Wheat2018.remove_below_percentile() + + print(Wheat2018.trade_matrix.shape) + + assert Wheat2018.threshold == 165.372 + + # Check if these countries are still present, as they are missing from + # the R data in the Hedlund paper + assert "South Sudan" in list(Wheat2018.trade_matrix.index) + assert "Laos" in list(Wheat2018.trade_matrix.index) def test_build_graph(): @@ -379,5 +476,75 @@ def test_apply_scenario(): assert "Indonesia" not in Wheat2018.trade_matrix.index +def test_compare_Hedlund_results_with_model_output(): + """ + This compares the output of the model with the Excel file from Johanna Hedlund. + """ + hedlund = pd.read_csv( + "data" + + os.sep + + "validation_data_from_Hedlung_2022" + + os.sep + + "Ex_15_third percentile_climate impacts.csv", + index_col=0, + ) + + # Remove the countries which don't have ISIMIP data, as + # Johanna Hedlund did in her analysis for determining the global threshold + ISIMIP = pd.read_csv("data/scenario_files/ISIMIP_wheat_Hedlung.csv", index_col=0) + # Get only those countries with NaNs in the ISIMIP data + nan_indices = ISIMIP.index[ISIMIP.iloc[:, 0].isnull()].tolist() + + Wheat2018 = PyTradeShifts( + "Wheat", + 2018, + region="Global", + testing=True, + # Removing those here as Hedlund did in her analysis + countries_to_remove=nan_indices + ["Taiwan"] + ["Macau"] + ) + + # Load the data + Wheat2018.load_data() + + # Remove countries with zero trade + Wheat2018.remove_net_zero_countries() + + # Run the prebalancing + Wheat2018.prebalance() + + # Reexport + Wheat2018.correct_reexports() + + # Remove countries + Wheat2018.remove_countries() + + Wheat2018.set_diagonal_to_zero() + + cc = coco.CountryConverter() + + # Assert that index in the Hedlund data is the same as in the model + # Sort them first + hedlund.index = cc.pandas_convert(pd.Series(hedlund.index), to="name_short") + hedlund.sort_index(inplace=True) + Wheat2018.trade_matrix.sort_index(inplace=True) + + print("all the countries which are in the Hedlund data but not in the model") + print(set(hedlund.index) - set(Wheat2018.trade_matrix.index)) + print("all the countries which are in the model but not in the Hedlund data") + print(set(Wheat2018.trade_matrix.index) - set(hedlund.index)) + + assert hedlund.index.equals(Wheat2018.trade_matrix.index) + + for country in Wheat2018.trade_matrix.columns: + if Wheat2018.trade_matrix[country].sum() == 0: + print(country) + # print the sum of the trade for this country + + assert Wheat2018.trade_matrix.shape == hedlund.shape + + + + if __name__ == "__main__": - test_apply_scenario() + test_compare_Hedlund_results_with_model_output() \ No newline at end of file