將 JSON 解析為 Google 圖表

Question

我正在尋找一種將我的 json 解析為簡單 js 折線圖的方法。 我嘗試了 ChartJS 但沒有成功，然后我嘗試了 Google Charts。

問題是我有一個很長的 JSON 來解析並且無法找到過濾它並解析到谷歌圖表的方法。

我想過濾 JSON 並僅獲取一個節點的值和日期（例如：在下面的 JSON 中獲取ABEV3的值）。

JSON：

{
    "RAIL3": {
        "2021-02-12": "20.18",
        "2021-02-11": "19.81",
        "2021-02-10": "20.13",
        "2021-02-09": "20.85",
        "2021-02-08": "21.35",
        "2021-02-05": "21.35",
        "2021-02-04": "21.50",
        "2021-02-03": "21.70",
        "2021-02-02": "20.77",
        "2021-02-01": "21.10",
        "2021-01-29": "20.30",
        "2021-01-28": "20.92",
        "2021-01-27": "20.74",
        "2021-01-26": "20.67",
        "2021-01-22": "20.85",
        "2021-01-21": "20.89",
        "2021-01-20": "21.03",
        "2021-01-19": "21.10",
        "2021-01-18": "20.92",
        "2021-01-15": "21.21",
        "2021-01-14": "20.74"
    },
    "ABEV3": {
        "2021-02-12": "14.79",
        "2021-02-11": "14.95",
        "2021-02-10": "15.01",
        "2021-02-09": "14.96",
        "2021-02-08": "14.94",
        "2021-02-05": "15.52",
        "2021-02-04": "15.60",
        "2021-02-03": "15.68",
        "2021-02-02": "15.61",
        "2021-02-01": "15.60",
        "2021-01-29": "15.11",
        "2021-01-28": "15.54",
        "2021-01-27": "15.39",
        "2021-01-26": "15.40",
        "2021-01-22": "15.15",
        "2021-01-21": "15.61",
        "2021-01-20": "16.02",
        "2021-01-19": "16.27",
        "2021-01-18": "16.22",
        "2021-01-15": "15.95",
        "2021-01-14": "16.26"
    },
    "BBAS3": {
        "2021-02-12": "33.75",
        "2021-02-11": "33.94",
        "2021-02-10": "33.81",
        "2021-02-09": "34.28",
        "2021-02-08": "33.87",
        "2021-02-05": "33.96",
        "2021-02-04": "34.19",
        "2021-02-03": "34.33",
        "2021-02-02": "34.06",
        "2021-02-01": "34.29",
        "2021-01-29": "33.86",
        "2021-01-28": "34.54",
        "2021-01-27": "33.59",
        "2021-01-26": "32.79",
        "2021-01-22": "33.69",
        "2021-01-21": "34.18",
        "2021-01-20": "34.53",
        "2021-01-19": "35.32",
        "2021-01-18": "35.93",
        "2021-01-15": "36.30",
        "2021-01-14": "37.46"
    }
}

編碼：

<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
  <script type="text/javascript">
    
    // Load the Visualization API and the piechart package.
    google.charts.load('current', {'packages':['corechart']});
      
    // Set a callback to run when the Google Visualization API is loaded.
    google.charts.setOnLoadCallback(drawChart);
      
    function drawChart() {
      var jsonData = $.ajax({
          url: "jsonfile.json",
          dataType: "json",
          async: false
          }).responseText;
          
      // Create our data table out of JSON data loaded from server.
      var data = new google.visualization.DataTable(jsonData);

      // Instantiate and draw our chart, passing in some options.
      var chart = new google.visualization.Line(document.getElementById('chart_div'));
      chart.draw(data, {width: 400, height: 400});
    }

    </script>

<div id="chart_div" style="width: 100%; height: 100%"></div>

Answer 1

修改點：

• 在您的腳本中，可以使用responseJSON代替responseText 。
• 如果要使用ABEV3的值，可以使用jsonData.ABEV3檢索ABEV3的值。
• 而且，我認為需要將每個值的類型從字符串修改為數字。
• 請將google.visualization.Line修改為google.visualization.LineChart 。

當以上幾點反映到您的腳本時，它變成如下。

修改后的腳本：

請修改drawChart()如下。

function drawChart() {
  var jsonData = $.ajax({
    url: "jsonfile.json",
    dataType: "json",
    async: false
  }).responseJSON;
  
  var key = "ABEV3";  // Please set the key you want to use.
  var ar = Object.entries(jsonData[key]).map(([a, b]) => [a, Number(b)]);
  var data = new google.visualization.DataTable();
  data.addColumn('string', 'date');
  data.addColumn('number', 'value');
  data.addRows(ar);
  var chart = new google.visualization.LineChart(document.getElementById('chart_div'));
  chart.draw(data, {width: 400, height: 400});
}

筆記：

• 在此修改中，假設您的url: "jsonfile.json",可以返回您問題中的 JSON 數據。 請注意這一點。
• 此修改后的腳本是使用您的腳本進行的簡單修改。 所以，請根據您的實際情況進行修改。

參考：

• 折線圖