在情节上徘徊在情节上并出现一些图像

时间:2017-10-16 18:16:16

标签: javascript jquery plotly

我正在使用plotly.js和jquery。

我想对图像进行自定义悬停效果。我看过the answer Etpinardhere是外观和感觉)。但我认为我需要一个不同的解决方案。

我不想要的是使用iframe,而上述解决方案适用于它。相反,我想连接到$("path.point")并在那里添加悬停功能。

我已经调查了Plot中的内容。所以,这是我的HTML代码:

<head>
    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
</head>

<body>
    <div id="myDiv"></div>
    <script src="MakePlot.js"></script>
    <script src="Mod2.js"></script>
</body>

这就是我在里面看到的:

enter image description here

enter image description here

我试图创建一个代码,它会显示图像&#39;在悬停,但它没有工作。所以我尝试了日志:

$(document.getElementById('myDiv')).ready(function () {
    $("path.point").hover(function () {
        console.log("SUCCESS!");
    }, function() {})
});

它没有显示任何内容。所以我想我是以错误的方式解决了对象(Plotly&#39; path.point的事情)。

以防万一,这是图像外观的代码:

$(document.getElementById('myDiv')).ready(function () {
    $(this).css({backgroundColor:"#00FFFFFF", color: "#00FFFFFF"}).prepend('<img src="2368518-ghost.jpg" alt="" />');},
    function () {
        $(this).css({backgroundColor: "#00FFFFFF", color: "#00FFFFFF"});
        $('img', this).remove()[0];
});

这是来自that answer的代码。

1 个答案:

答案 0 :(得分:3)

你可以使用Plotly的hoverevents而不需要jQuery。 事件数据用于显示基于跟踪索引的图像(下面代码中为curveNumber)。

var trace1 = {
  x: [1, 2, 3, 4, 5],
  y: [1, 6, 3, 6, 1],
  mode: 'markers',
  type: 'scatter',
};

var trace2 = {
  x: [1.5, 2.5, 3.5, 4.5, 5.5],
  y: [4, 1, 7, 1, 4],
  mode: 'markers',
  type: 'scatter',
};

var data = [trace1, trace2];
images = ['data:image/jpeg;base64,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',
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