From 624b48939ab00df5eb5da64cf3a918bbeaf7bf07 Mon Sep 17 00:00:00 2001 From: Luca Picci Date: Thu, 11 Apr 2024 17:26:31 +0200 Subject: [PATCH] add charts section 1 --- output/README.md | 4 +- output/chart_1_1.csv | 4097 ++++++++++++++++++++++++++++++++++++++++++ output/chart_1_2.csv | 3713 ++++++++++++++++++++++++++++++++++++++ scripts/charts_1.py | 149 ++ 4 files changed, 7962 insertions(+), 1 deletion(-) create mode 100644 output/chart_1_1.csv create mode 100644 output/chart_1_2.csv create mode 100644 scripts/charts_1.py diff --git a/output/README.md b/output/README.md index 5fd3068..a2a261b 100644 --- a/output/README.md +++ b/output/README.md @@ -56,4 +56,6 @@ It is created by the script [net_flow_projections.py](../scripts/analysis/net_fl - [`avg_repayments.csv`](avg_repayments.csv): Average yearly repayments. Structured for a flourish bar chart. It is created by the script [debt_service.py](../scripts/analysis/debt_service.py). - [`avg_repayments_china.csv`](avg_repayments.csv): Average yearly repayments, highlighting China. - Structured for a flourish bar chart. It is created by the script [debt_service.py](../scripts/analysis/debt_service.py). \ No newline at end of file + Structured for a flourish bar chart. It is created by the script [debt_service.py](../scripts/analysis/debt_service.py). +- [`chart_1_1](chart_1_1.csv): Data for chart 1.1. Net flows for countries and groups +- [`chart_1_2](chart_1_2.csv): Data for chart 1.2. Inflows for countries and groups \ No newline at end of file diff --git a/output/chart_1_1.csv b/output/chart_1_1.csv new file mode 100644 index 0000000..0857a6d --- /dev/null +++ b/output/chart_1_1.csv @@ -0,0 +1,4097 @@ +country,year,data,projection +Developing countries,2000,7737759737.5999975, +Developing countries,2001,996136528.9999994, +Developing countries,2002,-2853751717.3999996, +Developing countries,2003,4250676252.2, +Developing countries,2004,24563739283.1, +Developing countries,2005,38631490459.799995, +Developing countries,2006,51126687289.40001, +Developing countries,2007,56795886285.1, +Developing countries,2008,69275815093.3, +Developing countries,2009,99154567790.0, +Developing countries,2010,159788665175.7, +Developing countries,2011,134193238038.8, +Developing countries,2012,192722626897.6, +Developing countries,2013,190813701852.6, +Developing countries,2014,237361261686.6, +Developing countries,2015,141688155116.4, +Developing countries,2016,162227138555.59998, 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+Zimbabwe,2015,1163086167.8, +Zimbabwe,2016,846917255.8, +Zimbabwe,2017,752915342.3, +Zimbabwe,2018,1004532742.2, +Zimbabwe,2019,892392919.2, +Zimbabwe,2020,1009634719.4, +Zimbabwe,2021,1099515428.0, +Zimbabwe,2022,1041954199.5,1041954199.5 +Zimbabwe,2023,,977822799.0500001 +Zimbabwe,2024,,985739787.75 +Zimbabwe,2025,,941860375.0500001 diff --git a/output/chart_1_2.csv b/output/chart_1_2.csv new file mode 100644 index 0000000..42cb64e --- /dev/null +++ b/output/chart_1_2.csv @@ -0,0 +1,3713 @@ +year,country,Bilateral (excl. China),China,Multilateral,Private (excl. China) +2000,Developing countries,36795556522.8,700032191.3,33590387573.3,73282529081.9 +2001,Developing countries,36411159632.0,799487929.1999999,35218408934.8,58473962771.5 +2002,Developing countries,43052187740.0,427091381.4,33489240123.3,50659427210.3 +2003,Developing countries,50612997915.1,571453142.4,40287094525.1,60863253323.9 +2004,Developing countries,53467483464.4,1105683091.4,40658032463.3,71585666104.7 +2005,Developing countries,76019441026.6,1430594753.5,41568812030.6,70507613642.0 +2006,Developing countries,72346363061.4,2573311428.8,92390681852.0,64772561095.799995 +2007,Developing countries,68037507376.1,2920449462.1000004,52330785320.7,79323815249.09999 +2008,Developing countries,79767842558.6,4679487280.8,56907733791.700005,81344364816.59999 +2009,Developing countries,72903551469.9,9669139461.5,75342746326.0,72871325824.3 +2010,Developing countries,77392042016.5,16208357267.0,83381680962.3,116203487703.5 +2011,Developing countries,79608588584.6,15017636708.8,70947645043.6,111478962217.3 +2012,Developing countries,80079820469.8,14685336150.3,71207656482.1,177250853358.8 +2013,Developing countries,96434415789.6,20962685410.3,75864296842.3,160255037453.0 +2014,Developing countries,89558241470.2,21644465263.4,75396810710.2,231581317491.39996 +2015,Developing countries,81836618504.9,17062148317.3,81036467475.0,163967155119.0 +2016,Developing countries,91689091172.2,31057092162.100002,85397301106.2,185496512141.9 +2017,Developing countries,94394307318.0,32438260254.3,86921298663.3,251568852732.50003 +2018,Developing countries,91497539347.3,33670968104.1,91714620464.5,231671179241.80002 +2019,Developing countries,91120408011.1,23165962015.6,98510189300.2,205424941086.5 +2020,Developing countries,99262234353.7,15836711826.5,134233303921.09999,204118525999.1 +2021,Developing countries,102419130570.6,17858087403.3,123434636976.5,188320484071.9 +2022,Developing countries,95772339918.7,13476725767.5,126665831518.5,123621271206.20001 +2000,Low income,5069553502.1,37772550.5,3205183141.7,547770941.6 +2001,Low income,4903327826.9,190078672.2,4590789752.1,5994698.7 +2002,Low income,7443501528.7,31490260.0,5569952432.0,16410000.0 +2003,Low income,12627784963.2,149691658.6,5740429295.0,195038000.0 +2004,Low income,11511295620.5,215600878.4,7685317394.1,81984399.5 +2005,Low income,12815790524.0,160293250.9,8169035864.5,145394591.4 +2006,Low income,14004856842.9,353654469.7,32491772417.0,28847241.0 +2007,Low income,16136407807.5,356625310.90000004,8047134144.0,22717877.3 +2008,Low income,18942925868.2,1387153293.3,9170484943.6,13913094.9 +2009,Low income,19317532221.8,2534390082.7,9399651274.8,115945400.80000001 +2010,Low income,21345379026.3,1725377073.0,12720126561.2,542786281.7 +2011,Low income,27140263098.2,2279227369.8999996,10713913374.9,618560304.5 +2012,Low income,23513207551.3,2235364315.0,11369619684.0,1402792819.0 +2013,Low income,24358547237.2,2208655263.6,12867401468.9,3270217951.0 +2014,Low income,23854426404.5,4597118518.2,13039699863.1,3998449863.8 +2015,Low income,25030394039.5,3957548718.4999995,13047569118.7,2395715721.2000003 +2016,Low income,28233802662.1,2951398188.2000003,13096862781.2,609616511.3 +2017,Low income,30809404705.1,2549018946.5,15421081075.800001,2230824116.6 +2018,Low income,31944827089.0,2085740676.9,16125296288.4,2169751204.0 +2019,Low income,32119802236.9,3370160097.1000004,17964109109.2,1180272270.4 +2020,Low income,32191158193.1,1885396071.8,22129058523.8,1833143419.2 +2021,Low income,34100848701.3,692946844.6,20190913156.7,1028641127.1 +2022,Low income,30278866849.0,840371504.0,20235542814.3,324082704.2 +2000,Lower middle income,19117086945.5,311832353.2,13570879650.4,17712447596.0 +2001,Lower middle income,19052522079.8,427989357.4,14329661421.3,13037845374.0 +2002,Lower middle income,19656175470.4,309489386.3,14490470867.9,17640660535.600002 +2003,Lower middle income,22339383904.1,370587212.3,15837497685.5,16944715294.9 +2004,Lower middle income,25560882290.6,778353878.1,18346795880.7,23568608911.5 +2005,Lower middle income,30705047003.1,1168618259.3000002,20189767473.9,23920168730.8 +2006,Lower middle income,38294228657.6,2085480213.7,40640960227.1,24979301311.1 +2007,Lower middle income,30579746900.7,2348114284.2,25345306339.0,29880721588.4 +2008,Lower middle income,35631174603.5,2061228661.8,26834378419.3,26572549979.1 +2009,Lower middle income,35477283802.5,3100865615.3,32539580617.1,28790028024.2 +2010,Lower middle income,39127629263.8,7995385611.1,33404979282.7,39762313872.4 +2011,Lower middle income,36691139902.1,7765068892.6,31330150200.5,28978385056.300003 +2012,Lower middle income,40048124024.0,8416257291.8,32329665483.8,62292089826.5 +2013,Lower middle income,56124310576.5,12660183778.0,32921756042.2,40566931134.8 +2014,Lower middle income,42655034142.6,13633367893.6,35524565037.8,99603575634.6 +2015,Lower middle income,40984781763.4,9145792493.8,40326945275.5,68129368397.3 +2016,Lower middle income,42054925414.3,22823364137.9,41912028604.0,44738013608.7 +2017,Lower middle income,41798736072.7,16703203164.3,43823789525.8,98200324623.40001 +2018,Lower middle income,40152959695.0,24330135166.0,45791691196.2,85053808277.4 +2019,Lower middle income,39851072730.7,15175595237.3,54446496998.1,86895077427.5 +2020,Lower middle income,46035535350.5,11660116042.5,74543305515.7,67642029863.899994 +2021,Lower middle income,48376069374.9,14336982895.900002,61062316011.0,89174143356.2 +2022,Lower middle income,45988807516.5,10360606873.4,69818964999.5,43775616331.1 +2000,Upper middle income,10201186075.2,350427287.59999996,16702174781.2,55022310544.3 +2001,Upper middle income,10764189725.3,181419899.6,16135447761.4,45430122698.799995 +2002,Upper middle income,13511930740.9,86111735.1,13266896823.400002,33002356674.7 +2003,Upper middle income,13201289047.8,51174271.5,18529967544.6,43723500029.0 +2004,Upper middle income,13750955553.3,111728334.89999999,14390659188.5,47935072793.700005 +2005,Upper middle income,31759983499.5,101683243.30000001,13015918692.2,46442050319.8 +2006,Upper middle income,19166037560.9,134176745.39999999,19025219207.9,39764412543.7 +2007,Upper middle income,20089682667.9,215709867.0,18709604837.7,49420375783.4 +2008,Upper middle income,24063742086.9,1231105325.7,20608150428.8,54757901742.59999 +2009,Upper middle income,17064375445.6,4033883763.5,33177084434.1,43965352399.3 +2010,Upper middle income,15731643726.4,6487594582.900001,37019665118.4,75898387549.4 +2011,Upper middle income,15247165584.3,4973340446.3,28784641468.2,81882016856.5 +2012,Upper middle income,15944518894.5,4033714543.5,27390941314.300003,113555970713.3 +2013,Upper middle income,15425567975.9,6093846368.7,29956389331.2,116417888367.2 +2014,Upper middle income,22590330923.1,3413978851.6,26706505809.3,127979291993.0 +2015,Upper middle income,15402292702.0,3958807105.0,27582473080.8,93442071000.5 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Herzegovina,235115057.9,,468004040.5,9765445.7 +2016,Bosnia and Herzegovina,229909050.5,,440005685.1,2309686.2 +2017,Bosnia and Herzegovina,298102704.4,,336045080.0, +2018,Bosnia and Herzegovina,260292046.5,,438966881.8,198450789.6 +2019,Bosnia and Herzegovina,306597197.6,,460447128.79999995, +2020,Bosnia and Herzegovina,284184242.8,,505695024.1, +2021,Bosnia and Herzegovina,294633760.9,,595785156.3,351242380.2 +2022,Bosnia and Herzegovina,207010149.4,,383411733.59999996, +2000,Botswana,26382194.2,14711411.1,17678761.0,3772000.0 +2001,Botswana,28244657.0,158875.0,12643448.1, +2002,Botswana,42220000.0,1627389.3,8729452.8, +2003,Botswana,32870000.0,7648057.5,13701213.4, +2004,Botswana,37260000.0,17553816.4,29162728.1, +2005,Botswana,44042785.7,5675813.3,24781030.1, +2006,Botswana,43730000.0,2558847.8,41738192.7, +2007,Botswana,89457476.6,28011564.9,51529932.0, +2008,Botswana,708840000.0,12597632.6,82806000.0, +2009,Botswana,229810000.0,10046676.3,1038823615.9, 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Faso,508335688.7,12000000.0,501060032.59999996, +2009,Burkina Faso,484817318.0,,452916862.1,5653000.0 +2010,Burkina Faso,485381646.8,,668007733.0,17747000.0 +2011,Burkina Faso,493627768.1,,562239845.3, +2012,Burkina Faso,561105943.9,,601943790.5, +2013,Burkina Faso,550043336.5,,525361110.9, +2014,Burkina Faso,588106366.8,1640000.0,671030402.6, +2015,Burkina Faso,360253948.8,45145000.0,674491082.9, +2016,Burkina Faso,369351698.4,,678525555.3, +2017,Burkina Faso,384237205.6,,589405739.1, +2018,Burkina Faso,469018750.9,,870930370.2, +2019,Burkina Faso,548600266.1,,822445598.3000001, +2020,Burkina Faso,716173637.7,33968000.0,1098168013.3, +2021,Burkina Faso,789432651.9,36003693.0,1190056995.0,2257648.8 +2022,Burkina Faso,683511736.7,36790000.0,920363327.0, +2000,Burundi,46260000.0,,63673969.0,3048000.0 +2001,Burundi,59050000.0,,98934977.3,1974000.0 +2002,Burundi,92660000.0,,100434278.8, +2003,Burundi,124250000.0,,125838957.6,11344000.0 +2004,Burundi,168020000.0,,162072298.0, 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Republic,331329866.7,,456275717.4, +2021,Central African Republic,350571466.7,,290055000.0, +2022,Central African Republic,318010933.3,,316507000.0, +2000,Chad,70133781.2,,66878236.3, +2001,Chad,91520027.6,,101316546.6, +2002,Chad,77932218.0,,167125122.7, +2003,Chad,117815330.0,,208843228.6,20000000.0 +2004,Chad,173781531.5,,206015381.8, +2005,Chad,175672073.3,,280289024.1, +2006,Chad,191119712.0,,166546267.5, +2007,Chad,247775997.3,,151153944.1, +2008,Chad,305307043.5,44708624.2,225489594.8, +2009,Chad,362756000.0,,223691981.8, +2010,Chad,597878000.0,,260934761.6, +2011,Chad,366085537.4,82467544.5,283506916.0, +2012,Chad,253530000.0,39784330.1,302391958.8, +2013,Chad,258597954.3,,301062887.2,600000000.0 +2014,Chad,172607000.0,71090000.0,276902265.4,1356000000.0 +2015,Chad,240488066.7,4177000.0,907289027.5, +2016,Chad,245604085.0,19142000.0,449803586.7, +2017,Chad,338011343.0,,463484537.8, +2018,Chad,316038054.7,,419745842.0, +2019,Chad,290910191.6,,326782604.9, 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Republic,327991301.9,181365219.8,101131704.5, +2017,Congo Republic,151593676.4,364422634.4,468631030.90000004, +2018,Congo Republic,102340425.6,144235945.0,130424126.7, +2019,Congo Republic,144637869.0,215514825.1,390847545.6, +2020,Congo Republic,106807371.8,,215723821.6, +2021,Congo Republic,81842000.0,32079000.0,211572357.0, +2022,Congo Republic,138747864.7,12884000.0,274815069.3,36456225.5 +2000,Cook Islands,3440000.0,,270000.0, +2001,Cook Islands,3940000.0,,200000.0, +2002,Cook Islands,3500000.0,,150000.0, +2003,Cook Islands,4590000.0,,720000.0, +2004,Cook Islands,6000000.0,,1350000.0, +2005,Cook Islands,7080000.0,,130000.0, +2006,Cook Islands,31080000.0,,1160000.0, +2007,Cook Islands,9120000.0,,470000.0, +2008,Cook Islands,4480000.0,,160000.0, +2009,Cook Islands,5910000.0,,470000.0, +2010,Cook Islands,13530000.0,,270000.0, +2011,Cook Islands,20890000.0,,3860000.0, +2012,Cook Islands,18260000.0,,1630000.0, +2013,Cook Islands,15420000.0,,890000.0, +2014,Cook 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+2015,Mali,715054594.0,120426758.9,605855732.5, +2016,Mali,681699325.4,99466560.2,515125819.4, +2017,Mali,714623435.3,19365517.3,644016002.5,135567.6 +2018,Mali,858050962.0,15065998.4,760420780.4,64969.0 +2019,Mali,865761242.8,54374108.5,912408117.2, +2020,Mali,901476904.2,55055081.3,770987048.6, +2021,Mali,1302812395.5,29439870.4,698705840.6, +2022,Mali,886088272.6,20009697.7,737257457.8000001, +2000,Malta,22290000.0,,1650000.0, +2001,Malta,1080000.0,,3710000.0, +2002,Malta,1310000.0,,11680000.0, +2003,Malta,1740000.0,,9600000.0, +2004,Malta,1510000.0,,6540000.0, +2000,Marshall Islands,47120000.0,,200000.0, +2001,Marshall Islands,67390000.0,,120000.0, +2002,Marshall Islands,55450000.0,,190000.0, +2003,Marshall Islands,51500000.0,,250000.0, +2004,Marshall Islands,49480000.0,,190000.0, +2005,Marshall Islands,55840000.0,,210000.0, +2006,Marshall Islands,55030000.0,,110000.0, +2007,Marshall Islands,51570000.0,,1480000.0, +2008,Marshall Islands,51070000.0,,2060000.0, +2009,Marshall Islands,59440000.0,,1730000.0, +2010,Marshall Islands,24060000.0,,880000.0, +2011,Marshall Islands,84240000.0,,280000.0, +2012,Marshall Islands,85840000.0,,250000.0, +2013,Marshall Islands,87770000.0,,4380000.0, +2014,Marshall Islands,56640000.0,,1110000.0, +2015,Marshall Islands,57970000.0,,1710000.0, +2016,Marshall Islands,13320000.0,,1750000.0, +2017,Marshall Islands,72080000.0,,2960000.0, +2018,Marshall Islands,49330000.0,,7790000.0, +2019,Marshall Islands,56630000.0,,12630000.0, +2020,Marshall Islands,122500000.0,,61010000.0, +2021,Marshall Islands,96590000.0,,14710000.0, +2022,Marshall Islands,109600000.0,,34200000.0, +2000,Mauritania,100547345.4,,180729500.1, +2001,Mauritania,92143878.4,,222282915.7,2032000.0 +2002,Mauritania,147433936.7,229550.1,259812155.7,3836000.0 +2003,Mauritania,142390173.8,,196897801.3,3680000.0 +2004,Mauritania,177134947.8,,194234936.9,2101000.0 +2005,Mauritania,126913000.0,,170074200.4,15469000.0 +2006,Mauritania,108686288.8,,1191201677.8, +2007,Mauritania,153375609.1,,275246087.7, +2008,Mauritania,235991934.9,,315387429.4,21000.0 +2009,Mauritania,161422967.0,144460733.2,273137375.4, +2010,Mauritania,200388399.1,,385392655.8, +2011,Mauritania,184251011.0,25052683.2,311944675.3, +2012,Mauritania,386747618.1,,372729016.6, +2013,Mauritania,203423669.3,62238218.0,293096237.4, +2014,Mauritania,128520838.6,,386325464.6, +2015,Mauritania,483757484.8,121882678.7,306675894.79999995, +2016,Mauritania,187918735.7,39355000.0,399480607.2, +2017,Mauritania,120712549.1,7785355.8,314102585.0, +2018,Mauritania,215591356.8,17930805.8,270852988.8, +2019,Mauritania,166860995.0,25071000.0,459507260.5, +2020,Mauritania,186907040.3,10853000.0,425313602.0, +2021,Mauritania,257407988.4,,296131216.29999995, +2022,Mauritania,138362387.3,25422000.0,291465599.8, +2000,Mauritius,36047167.8,6759192.4,24199643.6,76000000.0 +2001,Mauritius,35407659.0,4717198.5,17407245.799999997,30735105.9 +2002,Mauritius,63179220.7,2665197.3,123348079.7,12523942.6 +2003,Mauritius,40986606.3,4491722.0,18827212.3,70202664.4 +2004,Mauritius,44850558.8,4299199.6,31191537.7,10421000.0 +2005,Mauritius,57630977.2,3073097.0,43192528.2,60851000.0 +2006,Mauritius,36130545.0,2220067.9,30696725.5,18947654.0 +2007,Mauritius,69522066.0,,77671913.1, +2008,Mauritius,62543189.6,,146054320.9, +2009,Mauritius,56693963.5,35295477.4,226779618.39999998,19220604.1 +2010,Mauritius,59879875.199999996,94737932.1,231278359.9,62843026.0 +2011,Mauritius,111734709.2,69966058.9,193344962.2,28300111.7 +2012,Mauritius,70104791.1,120930485.3,149867989.2,11654037.4 +2013,Mauritius,93976443.8,66904729.6,309910960.8,42346.3 +2014,Mauritius,87248824.5,37862099.4,184183561.2,16333.3 +2015,Mauritius,73236350.5,18334244.0,37310267.1,770681.9 +2016,Mauritius,35891399.2,9825260.8,79745602.1,196960.5 +2017,Mauritius,35163550.3,,73022861.9,5855838.5 +2018,Mauritius,30658796.9,45284000.0,44773096.2,980153.7 +2019,Mauritius,38263554.5,13680000.0,130443483.4,2874241.3 +2020,Mauritius,553987190.4,25517910.8,234685553.7,14581866.8 +2021,Mauritius,388282385.3,10956000.0,21070000.0,801895628.4 +2022,Mauritius,181899199.9,,23314000.0,361489000.0 +2000,Mayotte,103020000.0,,480000.0, +2001,Mayotte,115670000.0,,1350000.0, +2002,Mayotte,127280000.0,,110000.0, +2003,Mayotte,168730000.0,,150000.0, +2004,Mayotte,209650000.0,,10000.0, +2005,Mayotte,206520000.0,,220000.0, +2006,Mayotte,335030000.0,,290000.0, +2007,Mayotte,403790000.0,,590000.0, +2008,Mayotte,476310000.0,,810000.0, +2009,Mayotte,533980000.0,,1210000.0, +2010,Mayotte,561930000.0,,1000000.0, +2000,Mexico,430175482.4,,2558682000.0,8630886858.3 +2001,Mexico,255845584.6,,1426591000.0,20284125876.7 +2002,Mexico,371925203.6,,2284261000.0,10935304355.9 +2003,Mexico,283953035.8,,2314881000.0,18103150162.3 +2004,Mexico,288958926.7,,1789742000.0,19214625905.3 +2005,Mexico,542322733.3,,1981913000.0,16324165887.2 +2006,Mexico,455059795.3,,2141313000.0,15343632213.5 +2007,Mexico,234924239.10000002,,1769312000.0,19871186923.1 +2008,Mexico,312144338.1,,2654581000.0,22046458450.6 +2009,Mexico,1348246748.4,,7450388000.0,18476711384.5 +2010,Mexico,1737240790.1999998,,4724935667.5,35729081723.5 +2011,Mexico,1490610190.1,,3616959000.0,26896925370.1 +2012,Mexico,759028491.6,,2783584000.0,39216856752.6 +2013,Mexico,537530325.1,,2744821000.0,36767138709.3 +2014,Mexico,1028738987.6,,1995098000.0,38938581081.4 +2015,Mexico,524654123.6,,1562793000.0,26189527337.0 +2016,Mexico,650595761.2,,1576954000.0,41446215412.3 +2017,Mexico,1064663756.4,,2266144000.0,32233142475.3 +2018,Mexico,579806625.8,,1808380000.0,23789538175.2 +2019,Mexico,427250000.0,,2000519000.0,35443646923.4 +2020,Mexico,691351681.8,,1829616000.0,30896991817.7 +2021,Mexico,740746978.4,,2389317000.0,24651576085.8 +2022,Mexico,684893723.9,,1640843000.0,22354631064.1 +2000,"Micronesia, Fed. Sts.",96710000.0,,550000.0, +2001,"Micronesia, Fed. Sts.",135060000.0,,420000.0, +2002,"Micronesia, Fed. Sts.",110100000.0,,510000.0, +2003,"Micronesia, Fed. Sts.",111900000.0,,80000.0, +2004,"Micronesia, Fed. Sts.",85170000.0,,60000.0, +2005,"Micronesia, Fed. Sts.",104410000.0,,90000.0, +2006,"Micronesia, Fed. Sts.",105970000.0,,140000.0, +2007,"Micronesia, Fed. Sts.",110650000.0,,760000.0, +2008,"Micronesia, Fed. Sts.",86810000.0,,4290000.0, +2009,"Micronesia, Fed. Sts.",119260000.0,,1650000.0, +2010,"Micronesia, Fed. Sts.",63270000.0,,500000.0, +2011,"Micronesia, Fed. Sts.",128630000.0,,2010000.0, +2012,"Micronesia, Fed. Sts.",142750000.0,,290000.0, +2013,"Micronesia, Fed. Sts.",122300000.0,,1950000.0, +2014,"Micronesia, Fed. Sts.",115230000.0,,2660000.0, +2015,"Micronesia, Fed. Sts.",78290000.0,,4770000.0, +2016,"Micronesia, Fed. Sts.",39150000.0,,10640000.0, +2017,"Micronesia, Fed. Sts.",89550000.0,,9510000.0, +2018,"Micronesia, Fed. Sts.",74470000.0,,26870000.0, +2019,"Micronesia, Fed. Sts.",75500000.0,,19570000.0, +2020,"Micronesia, Fed. Sts.",134770000.0,,36330000.0, +2021,"Micronesia, Fed. Sts.",118920000.0,,15020000.0, +2022,"Micronesia, Fed. Sts.",134500000.0,,18780000.0, +2000,Moldova,73615000.0,,58065934.5,2362223.5 +2001,Moldova,87053780.3,,37151478.0, +2002,Moldova,93456651.5,,50948763.5, +2003,Moldova,85505889.6,,35810531.2, +2004,Moldova,83093199.8,,38229379.0, +2005,Moldova,91987714.0,,75743630.1, +2006,Moldova,97141421.9,,68734161.7,8274000.0 +2007,Moldova,108724585.2,,128177925.30000001, +2008,Moldova,136619472.6,,145733855.0, +2009,Moldova,111329639.9,13091000.0,160747189.0, +2010,Moldova,144219322.9,4968000.0,244590666.5, +2011,Moldova,134520000.0,7885000.0,256949442.4,5737742.3 +2012,Moldova,154800000.0,4590000.0,276890407.5,17036389.7 +2013,Moldova,184920000.0,8415000.0,214224103.7,6634712.100000001 +2014,Moldova,311685520.1,2257000.0,287817205.40000004,4994446.0 +2015,Moldova,226028200.2,155000.0,169908161.5,3020286.6999999997 +2016,Moldova,198750647.6,,253941489.5,3987445.7 +2017,Moldova,234242295.0,,208313625.9, +2018,Moldova,158191718.0,,200719945.79999998,727652.9 +2019,Moldova,159260000.0,,262876909.8,428818.3 +2020,Moldova,165100000.0,,404742909.5, +2021,Moldova,195280285.70000002,,528832887.0,59162.7 +2022,Moldova,514337505.3,,739870668.9, +2000,Mongolia,159048819.20000002,,58230751.2, +2001,Mongolia,149665909.8,,64897763.1, +2002,Mongolia,164952054.3,48326.3,51120008.0, +2003,Mongolia,171826765.2,,82011372.8, +2004,Mongolia,167540871.9,,102977200.9, +2005,Mongolia,176162774.9,,62401489.6, +2006,Mongolia,171223378.7,18100000.0,60267606.6, +2007,Mongolia,189210738.8,3545000.0,64877072.7,75000000.0 +2008,Mongolia,214659388.7,66000.0,66929233.4, +2009,Mongolia,284463700.2,52000.0,133036956.5, +2010,Mongolia,254977020.9,,80409659.5, +2011,Mongolia,277007303.5,5822367.4,98674989.2, +2012,Mongolia,325095820.6,133817000.0,108155614.0,1500000000.0 +2013,Mongolia,450979698.5,318100000.0,94295949.5, +2014,Mongolia,264017850.39999998,96674000.0,103727890.7,5557949.2 +2015,Mongolia,241547648.4,30646000.0,175900104.0,90985.9 +2016,Mongolia,361522043.4,90781000.0,149325276.7,750469241.5 +2017,Mongolia,603720607.9,76839000.0,444667279.7,1400327621.8 +2018,Mongolia,251902396.8,195747000.0,345247430.1,500086231.6 +2019,Mongolia,281740372.6,128754000.0,317961950.1, +2020,Mongolia,513449423.2,110919000.0,685137148.3,600000000.0 +2021,Mongolia,259853888.1,49775000.0,397814000.0,1099300000.0 +2022,Mongolia,230589200.8,64168000.0,385455438.6, +2005,Montenegro,50000.0,,, +2006,Montenegro,90462340.2,,58997536.7,14134834.2 +2007,Montenegro,64167642.7,,81191710.4,11093924.8 +2008,Montenegro,75407380.3,,52329294.2,4415143.6 +2009,Montenegro,66890778.3,,61122610.9,181750979.5 +2010,Montenegro,69551486.7,,33667056.3,348783726.3 +2011,Montenegro,100363034.3,30668000.0,202592468.7,361486630.0 +2012,Montenegro,54261079.1,39928000.0,174280729.0,321198900.7 +2013,Montenegro,63702931.5,,88658647.4,321974767.0 +2014,Montenegro,66323523.4,23200000.0,87999509.3,414307767.9 +2015,Montenegro,36247723.7,188798000.0,60250801.2,569604766.0999999 +2016,Montenegro,47896287.1,10834000.0,74357965.1,332010469.4 +2017,Montenegro,28249496.5,205590000.0,75239004.9,214014967.6 +2018,Montenegro,57290080.2,186475000.0,96191357.7,885941025.0 +2019,Montenegro,31631131.6,159876000.0,109348850.0,559815012.9 +2020,Montenegro,42016615.8,35076000.0,186701944.9,1148354937.0 +2021,Montenegro,46591806.8,57694000.0,197378860.0,15356271.4 +2022,Montenegro,36632194.1,67397000.0,112330697.9,5944641.1 +2000,Montserrat,30860000.0,,170000.0, +2001,Montserrat,32680000.0,,400000.0, +2002,Montserrat,45310000.0,,190000.0, +2003,Montserrat,36310000.0,,1140000.0, +2004,Montserrat,37360000.0,,7420000.0, +2005,Montserrat,26950000.0,,1040000.0, +2006,Montserrat,24930000.0,,7630000.0, +2007,Montserrat,32470000.0,,4050000.0, +2008,Montserrat,32270000.0,,2660000.0, +2009,Montserrat,38600000.0,,5620000.0, +2010,Montserrat,19750000.0,,9340000.0, +2011,Montserrat,44480000.0,,2410000.0, +2012,Montserrat,33700000.0,,6820000.0, +2013,Montserrat,48820000.0,,6320000.0, +2014,Montserrat,33420000.0,,6820000.0, +2015,Montserrat,51110000.0,,760000.0, +2016,Montserrat,38510000.0,,220000.0, +2017,Montserrat,36070000.0,,160000.0, +2018,Montserrat,34870000.0,,6820000.0, +2019,Montserrat,31740000.0,,4530000.0, +2020,Montserrat,44120000.0,,5680000.0, +2021,Montserrat,37390000.0,,2400000.0, +2022,Montserrat,40160000.0,,2140000.0, +2000,Morocco,505217980.3,,543712410.6,340131832.3 +2001,Morocco,502145885.5,,437427967.0,87989162.1 +2002,Morocco,442276489.7,,616021027.1,85801804.69999999 +2003,Morocco,695953499.8,,796310149.2,709633437.8 +2004,Morocco,847133439.4,,938283695.7,93512514.8 +2005,Morocco,949496207.4,,1418760778.0,96593351.19999999 +2006,Morocco,1039162707.8,2364435.1,1368374852.5,319816163.3 +2007,Morocco,1395763113.8,4125531.5,1447111255.1,903503819.0 +2008,Morocco,1976942464.3,55347191.9,1877618610.8,294682873.5 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Macedonia,203521019.2,37669000.0,130355242.7,2768733.0999999996 +2003,North Macedonia,200727451.6,14256000.0,134797672.1,15541936.7 +2004,North Macedonia,181239359.1,8287000.0,191318952.0,15302587.700000001 +2005,North Macedonia,171228309.4,,141249957.2,188776729.6 +2006,North Macedonia,139214628.6,,137285388.7,28648874.2 +2007,North Macedonia,154899158.7,,178328073.2,3311455.7 +2008,North Macedonia,186153877.3,,140675228.9,36953280.3 +2009,North Macedonia,148575753.2,,136095338.1,244023675.7 +2010,North Macedonia,130897714.5,,235808909.39999998,6534834.3 +2011,North Macedonia,81789023.8,,236656549.5,258964432.7 +2012,North Macedonia,99584787.1,,213717379.1,128527657.80000001 +2013,North Macedonia,128886654.9,,305665335.4,384724871.29999995 +2014,North Macedonia,120250512.1,122573000.0,380966214.7,668155335.8000001 +2015,North Macedonia,86221476.8,71320000.0,276562759.4,311349109.3 +2016,North Macedonia,90013240.7,130444000.0,229849818.5,525876498.6 +2017,North Macedonia,84370719.1,84112000.0,237894863.2,33891907.3 +2018,North Macedonia,93504519.7,62128000.0,231997523.4,620373705.9 +2019,North Macedonia,97929995.1,77527000.0,369782981.6, +2020,North Macedonia,90286812.4,27217000.0,481538340.4,799029509.0 +2021,North Macedonia,97327644.4,20976000.0,452674507.29999995,828277853.5 +2022,North Macedonia,87767981.4,48863000.0,255385035.2,263363507.0 +2000,Northern Mariana Islands,10000.0,,120000.0, +2000,Oceania,1331032905.1,2443074.3,170874902.7,91072446.9 +2001,Oceania,1372979312.7,2460206.8,196652294.5,29796706.5 +2002,Oceania,1418988590.2,441581.9,81540233.9,26635881.7 +2003,Oceania,1649628694.2,2510812.0,91584153.1,14516600.0 +2004,Oceania,1834951296.5,,133021608.4,5271550.0 +2005,Oceania,904677082.8,,176854574.4,1110101.9000000001 +2006,Oceania,1004040000.0,3104332.3,158009000.0,154264972.3 +2007,Oceania,1099328000.0,12511105.6,151714005.0,323002.7 +2008,Oceania,1179228000.0,40831628.0,141782000.0, 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Guinea,583813091.5,54840572.3,84854574.0, +2012,Papua New Guinea,557810276.7,42537233.1,187299635.1, +2013,Papua New Guinea,520292569.1,20890329.1,270070082.8, +2014,Papua New Guinea,482887268.3,92054604.8,202015458.8, +2015,Papua New Guinea,470808294.0,88687897.4,217712000.0, +2016,Papua New Guinea,441315036.6,136395312.2,205412879.0,216558468.8 +2017,Papua New Guinea,454418274.0,120317266.2,180479345.7,129205414.1 +2018,Papua New Guinea,520173395.1,86572871.1,518147796.7,690000000.0 +2019,Papua New Guinea,824374707.7,266506146.8,411995000.0,288329949.7 +2020,Papua New Guinea,925264643.5,106440808.2,818261421.2,192875933.1 +2021,Papua New Guinea,1462586876.7,161907003.7,573567810.0,95198598.0 +2022,Papua New Guinea,1103809388.5,170832956.8,488479716.9,2551465.7 +2000,Paraguay,94656863.8,,170698634.5, +2001,Paraguay,83615580.6,,100274910.2, +2002,Paraguay,84137856.0,,91383013.0,132000.0 +2003,Paraguay,69362242.8,,160168686.4,10963000.0 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+2006,Rwanda,374970000.0,,1503320034.2, +2007,Rwanda,388392110.0,,226805698.7, +2008,Rwanda,468095466.7,,380938450.3, +2009,Rwanda,529797227.6,6167830.4,320390489.6, +2010,Rwanda,555539061.9,13734235.1,493712676.1, +2011,Rwanda,619516198.9,7163552.8,680769296.6, +2012,Rwanda,465810166.7,2283951.6,467665402.3, +2013,Rwanda,597251531.7,24090448.3,532418701.2,400000000.0 +2014,Rwanda,490753513.3,29884820.9,575399273.9, +2015,Rwanda,573377533.2,37304890.8,544269226.3, +2016,Rwanda,510994742.9,23261487.8,583848454.8000001, +2017,Rwanda,528304549.1,23149546.7,672085922.9, +2018,Rwanda,521135942.5,10830627.1,659444795.7, +2019,Rwanda,586249306.6,39996730.3,783063507.0,64093000.0 +2020,Rwanda,595779663.8,57421824.7,918957578.4,281005000.0 +2021,Rwanda,702289579.8,78747262.5,729008193.9,649381000.0 +2022,Rwanda,555136855.8,39911668.2,760049619.5,129434000.0 +2000,Samoa,18170000.0,,10070000.0, +2001,Samoa,27380000.0,,12356000.0, +2002,Samoa,30950000.0,,9290000.0, 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Principe,18816000.0,21626.0,9924553.9, +2003,Sao Tome and Principe,25250000.0,,12639837.9, +2004,Sao Tome and Principe,26690000.0,,21662949.1, +2005,Sao Tome and Principe,18410000.0,,18176040.4, +2006,Sao Tome and Principe,18480000.0,,13241189.2, +2007,Sao Tome and Principe,30270000.0,,138402352.4, +2008,Sao Tome and Principe,41570000.0,,14853781.9, +2009,Sao Tome and Principe,34290000.0,,11328770.0, +2010,Sao Tome and Principe,37458752.5,,15718374.8, +2011,Sao Tome and Principe,61597261.3,313517.1,39120068.5, +2012,Sao Tome and Principe,21797137.0,,22084731.4, +2013,Sao Tome and Principe,30222285.2,,32284160.5, +2014,Sao Tome and Principe,57366438.3,,26793069.9, +2015,Sao Tome and Principe,25867662.9,,23149467.7,10000000.0 +2016,Sao Tome and Principe,19260017.2,,30721517.0, +2017,Sao Tome and Principe,22786244.5,,27963654.0, +2018,Sao Tome and Principe,19420000.0,,34766975.5, +2019,Sao Tome and Principe,17787716.6,,38978064.7, +2020,Sao Tome and Principe,18590000.0,,61076889.2, 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Africa,794829980.4000001,,1130298898.9,7972019503.9 +2011,South Africa,884384790.9,,745827253.2,15266913470.8 +2012,South Africa,790591316.2,,1783826534.5,18573862960.1 +2013,South Africa,742695236.6,,843493880.7,10725951191.4 +2014,South Africa,741562754.3000001,,1060787757.4,7046777897.2 +2015,South Africa,801377332.2,,787283658.6,4793444046.2 +2016,South Africa,780467110.0,,718018340.5,11774300000.0 +2017,South Africa,841910971.5,1000000000.0,1380782066.3,14797520000.0 +2018,South Africa,796891807.2,400000000.0,407069974.6,11573550000.0 +2019,South Africa,594324129.3,898798000.0,377128187.0,13407000000.0 +2020,South Africa,943512256.9,619337000.0,1556811558.7,1831749996.7 +2021,South Africa,945440000.0,385358000.0,1798581966.1,1304202638.7 +2022,South Africa,1115263446.3,145438000.0,1477308448.3,4258475000.0 +2000,South Korea,121540000.0,,270000.0, +2001,South Korea,90330000.0,,-370000.0, +2002,South Korea,86320000.0,,180000.0, +2003,South Korea,93430000.0,,-120000.0, +2004,South Korea,108670000.0,,70000.0, +2011,South Sudan,390920000.0,,46390000.0, +2012,South Sudan,1040300000.0,,146660000.0, +2013,South Sudan,1132720000.0,,261850000.0, +2014,South Sudan,1641860000.0,,318910000.0, +2015,South Sudan,1401150000.0,,275600000.0, +2016,South Sudan,1277840000.0,,307300000.0, +2017,South Sudan,1699480000.0,,461680000.0, +2018,South Sudan,1394510000.0,,182550000.0, +2019,South Sudan,1321990000.0,,352720000.0, +2020,South Sudan,1446670000.0,,325620000.0, +2021,South Sudan,1509850000.0,,438290000.0, +2022,South Sudan,1556800000.0,,529880000.0, +2000,Sri Lanka,383578231.7,1097420.5,145445617.4,242908025.9 +2001,Sri Lanka,434406805.0,9408058.7,153479590.8,34020608.6 +2002,Sri Lanka,358421949.9,33426000.0,263316827.3,124775356.0 +2003,Sri Lanka,489929708.4,25484000.0,466912626.7,167270850.8 +2004,Sri Lanka,546537203.4,15272617.2,287180524.4,96700175.1 +2005,Sri Lanka,913339187.9,9852974.5,420815389.4,198738546.7 +2006,Sri Lanka,768597095.0,9436041.3,419263862.4,203809548.6 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Grenadines,6264322.7,,13105000.0,30000000.0 +2006,St. Vincent and the Grenadines,2816560.6,,17532304.3, +2007,St. Vincent and the Grenadines,48560000.0,,30009000.0, +2008,St. Vincent and the Grenadines,10573012.5,,51101000.0,16000000.0 +2009,St. Vincent and the Grenadines,6360000.0,,33584251.0, +2010,St. Vincent and the Grenadines,2220000.0,,90160000.0, +2011,St. Vincent and the Grenadines,2350000.0,,42482610.0, +2012,St. Vincent and the Grenadines,5390000.0,,18060000.0, +2013,St. Vincent and the Grenadines,910000.0,,42865000.0,10970000.0 +2014,St. Vincent and the Grenadines,13180000.0,,36869000.0,7962000.0 +2015,St. Vincent and the Grenadines,13454210.5,,29472000.0, +2016,St. Vincent and the Grenadines,4662323.5,,25090000.0, +2017,St. Vincent and the Grenadines,16008567.1,,18857000.0,10351111.1 +2018,St. Vincent and the Grenadines,13156296.8,,24163000.0, +2019,St. Vincent and the Grenadines,13213279.4,,90459000.0, +2020,St. Vincent and the Grenadines,7853104.699999999,,75963000.0, 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+2012,Tajikistan,203085459.2,25359000.0,188392018.3,8924190.3 +2013,Tajikistan,178922700.1,56152072.9,244648108.6,354577.3 +2014,Tajikistan,204332992.5,43787000.0,231933136.5,9707140.4 +2015,Tajikistan,172455856.8,198826897.7,321072849.6,2621946.2 +2016,Tajikistan,150624035.9,178535964.1,239723990.7, +2017,Tajikistan,173310145.5,80613963.4,269622551.8,500000000.0 +2018,Tajikistan,165756561.0,54027196.2,325571225.0, +2019,Tajikistan,148925115.4,19442490.3,289781079.4, +2020,Tajikistan,165050451.3,29581000.0,575715054.6, +2021,Tajikistan,173128724.1,14662456.7,538700693.9, +2022,Tajikistan,157849501.7,,581108534.6, +2000,Tanzania,802000180.7,12805091.7,314845812.0,5354000.0 +2001,Tanzania,955656220.5,2804778.3,371413249.1, +2002,Tanzania,919940000.0,101485.3,412873208.6, +2003,Tanzania,874460000.0,4152710.4,787994655.9,19906456.0 +2004,Tanzania,1086763338.0,,882732264.9,5142306.0 +2005,Tanzania,883248188.7,1957682.0,789718703.9,19083582.5 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+2021,Tanzania,1205843538.3,,1230790585.2,1976935000.0 +2022,Tanzania,1145034336.6,,2187408269.4,343329000.0 +2000,Thailand,1612635045.2,,773716500.1,875499786.2 +2001,Thailand,1638803117.6,,523969000.0,359100913.8 +2002,Thailand,1171408184.9,,201852000.0,523076125.0 +2003,Thailand,1061442015.0,,101505000.0,490000000.0 +2004,Thailand,601782583.6,,111896000.0,1000000000.0 +2005,Thailand,611805833.3,,81188000.0,1294360000.0 +2006,Thailand,663806374.4,,111817000.0,665000000.0 +2007,Thailand,464401293.0,,86388000.0,154000000.0 +2008,Thailand,241395086.4,,84419000.0,1563542000.0 +2009,Thailand,221521942.6,,76711000.0,1656958925.4 +2010,Thailand,344413373.5,,88373000.0,5781000000.0 +2011,Thailand,597410662.4,,207815000.0,6323000000.0 +2012,Thailand,634832552.3,,385494000.0,7461000000.0 +2013,Thailand,859975352.9,,982823837.2, +2014,Thailand,621459794.3,,106772000.0, +2015,Thailand,302483724.6,,82494000.0, +2016,Thailand,540977808.2,,59951000.0,883921000.0 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+2016,Timor-Leste,155920000.0,,78011000.0, +2017,Timor-Leste,168000705.3,,79741000.0, +2018,Timor-Leste,158854277.8,,69656000.0, +2019,Timor-Leste,181505598.1,,69544000.0, +2020,Timor-Leste,191216488.8,,71206000.0, +2021,Timor-Leste,209168492.3,,56790000.0, +2022,Timor-Leste,167021356.9,,74888000.0, +2000,Togo,62423330.8,2202692.7,30128680.1, +2001,Togo,50066948.8,2448970.7,34631840.8, +2002,Togo,50069121.9,,17991755.0, +2003,Togo,55952624.8,,18245935.1, +2004,Togo,59570000.0,,27231067.4, +2005,Togo,64550000.0,,33861865.9, +2006,Togo,79453780.8,2508551.3,53425874.099999994, +2007,Togo,71820000.0,,64105502.8, +2008,Togo,174804000.0,,69017787.1, +2009,Togo,343659733.3,21710000.0,93632730.5, +2010,Togo,258696144.9,35848000.0,284130291.8, +2011,Togo,454545222.9,,235832275.3, +2012,Togo,121603319.8,101486368.5,133207890.3, +2013,Togo,98219535.3,31835016.4,240042923.8,59760216.6 +2014,Togo,99432134.8,103840990.7,192164315.2, +2015,Togo,101971658.2,87213685.3,164427985.4,12469501.0 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+2022,Zimbabwe,486583767.9,268964330.8,318512000.0, diff --git a/scripts/charts_1.py b/scripts/charts_1.py new file mode 100644 index 0000000..b80745b --- /dev/null +++ b/scripts/charts_1.py @@ -0,0 +1,149 @@ +"""Charts 1.1 and 1.2""" + +import pandas as pd +import numpy as np + +from scripts.config import Paths + + +def chart_1_1(): + """Chart 1.1""" + + orig_reg_df = ( + pd.read_parquet(Paths.output / "net_flows_grouping.parquet", engine="pyarrow") + .query("prices=='current'")[["year", "country", "value"]] + .groupby(["country", "year"]) + .agg({"value": "sum"}) + .reset_index() + ) + + orig_country_df = ( + pd.read_parquet(Paths.output / "net_flows_country.parquet", engine="pyarrow") + .query("prices=='current'")[["year", "country", "value"]] + .groupby(["country", "year"]) + .agg({"value": "sum"}) + .reset_index() + ) + + orig_df = pd.concat([orig_country_df, orig_reg_df]).assign(value_type="data") + + proj_df = pd.concat( + [ + ( + pd.read_parquet( + Paths.output / "net_flow_projections_group.parquet", + engine="pyarrow", + )[["year", "country", "value"]] + ), + ( + pd.read_parquet( + Paths.output / "net_flow_projections_country.parquet", + engine="pyarrow", + )[["year", "country", "value"]] + ), + ] + ).assign(value_type="projection") + + # join last year of data with first year of projection + add_df = ( + orig_df.loc[orig_df["year"] == 2022] + .reset_index(drop=True) + .assign(value_type="projection") + ) + + order = [ + "Developing countries", + "Low income", + "Lower middle income", + "Upper middle income", + "Africa", + "America", + "Asia", + "Europe" "Oceania", + ] + + final_df = ( + pd.concat([proj_df, add_df, orig_df]) + .pivot(index=["country", "year"], columns="value_type", values="value") + .reset_index() + .assign( + sort_col=lambda d: d.country.apply( + lambda x: order.index(x) if x in order else len(order) + ord(x[0]) + ) + ) + .sort_values(by=["sort_col", "country", "year"]) + .drop(columns="sort_col") + ) + + # save the output to a file + final_df.to_csv(Paths.output / "chart_1_1.csv", index=False) + + +def chart_1_2(): + """Chart 1.2""" + + inflow_group = ( + pd.read_parquet(Paths.output / "full_flows_grouping.parquet", engine="pyarrow") + .query("prices=='current' and indicator_type == 'inflow'") + .loc[:, ["year", "country", "counterpart_area", "counterpart_type", "value"]] + .assign( + counterpart_type=lambda d: np.where( + d.counterpart_area == "China", "China", d.counterpart_type + ) + ) + .groupby(["year", "country", "counterpart_type"]) + .agg({"value": "sum"}) + .reset_index() + ) + + inflow_country = ( + pd.read_parquet(Paths.output / "full_flows_country.parquet", engine="pyarrow") + .query("prices=='current' and indicator_type == 'inflow'") + .loc[:, ["year", "country", "counterpart_area", "counterpart_type", "value"]] + .assign( + counterpart_type=lambda d: np.where( + d.counterpart_area == "China", "China", d.counterpart_type + ) + ) + .groupby(["year", "country", "counterpart_type"]) + .agg({"value": "sum"}) + .reset_index() + ) + + order = [ + "Developing countries", + "Low income", + "Lower middle income", + "Upper middle income", + "Africa", + "America", + "Asia", + "Europe" "Oceania", + ] + + final_df = ( + pd.concat([inflow_group, inflow_country]) + .pivot(index=["year", "country"], columns="counterpart_type", values="value") + .reset_index() + .assign( + sort_col=lambda d: d.country.apply( + lambda x: order.index(x) if x in order else len(order) + ord(x[0]) + ) + ) + .sort_values(by=["sort_col", "country", "year"]) + .drop(columns="sort_col") + .rename( + columns={ + "Bilateral": "Bilateral (excl. China)", + "Private": "Private (excl. China)", + } + ) + ) + + # save the output to a file + final_df.to_csv(Paths.output / "chart_1_2.csv", index=False) + + +if __name__ == "__main__": + chart_1_1() + chart_1_2()