小编Edg*_*jak的帖子

In first API call I'm getting an array of IDs to be able to make another API call to grab revenue key/value pairs, then push it back to the main object(as it doesn't have it by default).

const mainURL =
  "https://api.themoviedb.org/3/discover/movie?api_key=2339027b84839948cd9be5de8b2b36da&language=en-US&sort_by=revenue.desc&include_adult=false&include_video=false&page=";
const movieBaseURL =
  "https://api.themoviedb.org/3/movie/335?api_key=2339027b84839948cd9be5de8b2b36da&language=en-US";
const apiKey = "2339027b84839948cd9be5de8b2b36da";
let getRevenueByID,revenue, data, response, obj;
let Each_ID_Array = [],
  All_ID_Array = [],
  All_ID_Array_merged = [],
  pages_Array = [1, 2],
  keyValueArr = [],
  allKeyValueArr = [],
  objectArr = [];
  responses = []; …

我正在尝试用面积图形状将线上的点拟合，但是不适合。我认为这是由于.curve使用d3.curveBasis。

data = [
  {
    "login_date": "2017-09-24",
    "unique_user_count": 2,
    "total_login_count": 2
  },
  {
    "login_date": "2017-09-25",
    "unique_user_count": 25,
    "total_login_count": 46
  },
  {
    "login_date": "2017-09-26",
    "unique_user_count": 31,
    "total_login_count": 74
  },
  {
    "login_date": "2017-09-27",
    "unique_user_count": 29,
    "total_login_count": 58
  },
  {
    "login_date": "2017-09-28",
    "unique_user_count": 29,
    "total_login_count": 60
  },
  {
    "login_date": "2017-09-29",
    "unique_user_count": 31,
    "total_login_count": 71
  },
  {
    "login_date": "2017-09-30",
    "unique_user_count": 1,
    "total_login_count": 1
  },
  {
    "login_date": "2017-10-01",
    "unique_user_count": 1,
    "total_login_count": 1
  },
  {
    "login_date": "2017-10-02",
    "unique_user_count": 41,
    "total_login_count": 71
  },
  {
    "login_date": …

我正在使用d3-fetch库以能够使用异步/等待，但是出现以下错误：fetch.json不是一个函数。

它确实与d3.json（）一起工作。

我在这里做错了什么？

    async function fetchAllData() {

    try {

        let data = await fetch.json('https://api.myjson.com/bins/1cpi9w');
        return data;

        console.log("Initial data: ", data);

        console.log("type of n: ", indicateType(data[0].n));

        let format = d3.timeFormat("%Y");


        //Nesting data by category
        let updatedData = d3.nest()
            .key(d => d.category)
            .sortValues((a, b) =>  a.year - b.year)
            .entries(data);

        //Define xScale domain (min,max assume it has been sorted by year)
        xScale.domain([
            d3.min(updatedData, function(s) { return s.values[0].year; }),
            d3.max(updatedData, function(s) { return s.values[s.values.length - 1].year })
        ]);

        console.log("Nested data: ", updatedData); …