javascript - 计算先前元素的数量

Question

我有一个这样的对象数组:

const data = [
  {
    "continent": "Europe",
    "year": 2016,
    "state": " mx l",
    "value": 93.10611646419025
  },
  {
    "continent": "Europe",
    "year": 2016,
    "state": "Q  xe",
    "value": 46.14966763264863
  },
  {
    "continent": "Europe",
    "year": 2017,
    "state": " mx l",
    "value": 29.392192664199012
  },
  {
    "continent": "Europe",
    "year": 2017,
    "state": "Q  xe",
    "value": 14.676226327897535
  },
  {
    "continent": "Europe",
    "year": 2018,
    "state": " mx l",
    "value": 7.9210338610822495
  },
  {
    "continent": "Europe",
    "year": 2018,
    "state": "Q  xe",
    "value": 42.77961684001821
  },
  {
    "continent": "Europe",
    "year": 2019,
    "state": " mx l",
    "value": 30.195477072260847
  },
  {
    "continent": "Europe",
    "year": 2019,
    "state": "Q  xe",
    "value": 0.4764215061746846
  },
  {
    "continent": "Asia",
    "year": 2016,
    "state": "Mxhvisio",
    "value": 52.184301395612096
  },
  {
    "continent": "Asia",
    "year": 2016,
    "state": "Velgbvsy",
    "value": 66.56540671530074
  },
  {
    "continent": "Asia",
    "year": 2016,
    "state": "Otxenpwe",
    "value": 81.28417729926467
  },
  {
    "continent": "Asia",
    "year": 2017,
    "state": "Mxhvisio",
    "value": 24.959281347996697
  },
  {
    "continent": "Asia",
    "year": 2017,
    "state": "Velgbvsy",
    "value": 62.620083230638166
  },
  {
    "continent": "Asia",
    "year": 2017,
    "state": "Otxenpwe",
    "value": 29.259822764307053
  },
  {
    "continent": "Asia",
    "year": 2018,
    "state": "Mxhvisio",
    "value": 97.99032287910472
  },
  {
    "continent": "Asia",
    "year": 2018,
    "state": "Velgbvsy",
    "value": 15.553958337919838
  },
  {
    "continent": "Asia",
    "year": 2018,
    "state": "Otxenpwe",
    "value": 1.0460838512473591
  },
  {
    "continent": "Asia",
    "year": 2019,
    "state": "Mxhvisio",
    "value": 36.11846533794167
  },
  {
    "continent": "Asia",
    "year": 2019,
    "state": "Velgbvsy",
    "value": 25.467981394020022
  },
  {
    "continent": "Asia",
    "year": 2019,
    "state": "Otxenpwe",
    "value": 59.55173397523441
  },
  {
    "continent": "Africa",
    "year": 2016,
    "state": "Oqkaqap",
    "value": 66.8220176856509
  },
  {
    "continent": "Africa",
    "year": 2016,
    "state": " vnzkxo",
    "value": 11.062951843116519
  },
  {
    "continent": "Africa",
    "year": 2016,
    "state": "Juucqrd",
    "value": 8.482606846746087
  },
  {
    "continent": "Africa",
    "year": 2017,
    "state": "Oqkaqap",
    "value": 78.48483030953402
  },
  {
    "continent": "Africa",
    "year": 2017,
    "state": " vnzkxo",
    "value": 93.20229532997375
  },
  {
    "continent": "Africa",
    "year": 2017,
    "state": "Juucqrd",
    "value": 96.36196870652273
  },
  {
    "continent": "Africa",
    "year": 2018,
    "state": "Oqkaqap",
    "value": 18.806971985682488
  },
  {
    "continent": "Africa",
    "year": 2018,
    "state": " vnzkxo",
    "value": 59.864704301091365
  },
  {
    "continent": "Africa",
    "year": 2018,
    "state": "Juucqrd",
    "value": 77.49958555283216
  },
  {
    "continent": "Africa",
    "year": 2019,
    "state": "Oqkaqap",
    "value": 55.113253844664015
  },
  {
    "continent": "Africa",
    "year": 2019,
    "state": " vnzkxo",
    "value": 20.65153716524726
  },
  {
    "continent": "Africa",
    "year": 2019,
    "state": "Juucqrd",
    "value": 1.6831843892751275
  },
  {
    "continent": "Americas",
    "year": 2016,
    "state": "Ktaq np",
    "value": 27.574234534710442
  },
  {
    "continent": "Americas",
    "year": 2016,
    "state": "Xjzxccd",
    "value": 56.92744198752449
  },
  {
    "continent": "Americas",
    "year": 2017,
    "state": "Ktaq np",
    "value": 41.10078504806991
  },
  {
    "continent": "Americas",
    "year": 2017,
    "state": "Xjzxccd",
    "value": 28.56665484963914
  },
  {
    "continent": "Americas",
    "year": 2018,
    "state": "Ktaq np",
    "value": 79.81517223034149
  },
  {
    "continent": "Americas",
    "year": 2018,
    "state": "Xjzxccd",
    "value": 17.274959818275715
  },
  {
    "continent": "Americas",
    "year": 2019,
    "state": "Ktaq np",
    "value": 48.15827138437179
  },
  {
    "continent": "Americas",
    "year": 2019,
    "state": "Xjzxccd",
    "value": 57.19057047246159
  }
]

和一系列大陆:

const continents = ['Europe', 'Asia', 'Africa', 'Americas']

我以这种方式迭代 continents 数组:

continents.map((continent, i) => {
   const numOfPreviousStates = ??
})

numOfPreviousStates 应包含当前大陆之前的州数。

因此，如果 continent = 'Europe'，则 numOfPreviousStates = 0，如果 continent = 'Asia'，则 numOfPreviousStates = 0 +8=8，如果 continent = 'Africa' 那么 numOfPreviousStates = 8+12=20 并且如果 continent = 'Americas' 然后 numOfPreviousStates = 8+12+12 = 32。

我该怎么做？我想我可以使用 reduce 但如何使用呢？

Answer 1

你可以像这样使用过滤:

continents.map((continent, i) => {
   return data.filter(e => continents.indexOf(e.continent)<i).length;
})