如何在 plotly python 中将箱形图中位数与多类别 x 轴连接起来

Question

我正在尝试绘制此图，但在 Whosebug 或 plotly 论坛中找不到任何示例。我将 plotly js 示例放在这里以重现代码 better.But 我在 plotly python.

中需要的真正解决方案

提前感谢您提供此问题的指南或解决方案。

一些研究，但我有多个分类 x 轴！！

Plotly: How to add a median line on a box plot

这是我用过的代码。当然，稍微修改一下以表示我想要的实际情节。 https://plotly.com/javascript/axes/

var trace1 = {
  x: [
    
    ['giraffes', 'orangutans', 'monkeys','giraffes', 'orangutans', 'monkeys'],
    ['SF Zoo','SF Zoo','SF Zoo','SF Zoo','SF Zoo','SF Zoo']
  ],
  y: [5, 14, 23,12,13,14],
   boxpoints: 'all',
  name: 'SF Zoo',
  type: 'box',
  boxmean:true

};

var trace2 = {
  x: [
     ['giraffes', 'orangutans', 'monkeys','giraffes', 'orangutans', 'monkeys','monkeys','giraffes'],
    ['LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo']
  ],
  y: [12, 18, 29,22,11,19,12,26],
  //name: 'LA Zoo',
  type: 'box',
  boxmean:true,
  name: 'LA Zoo',

  boxpoints: 'all'
  
};

var x= [
    ['LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo'],
    ['giraffes', 'orangutans', 'monkeys','giraffes', 'orangutans', 'monkeys','monkeys','giraffes']
  ];

var y = [12, 18, 29,22,11,19,12,26];

var connecting_means = [{
  type: 'scatter',
  x: x,
  y: y,
  //mode: 'line',
  transforms: [{
    type: 'aggregate',
    groups: x,
    aggregations: [
      {target: 'y', func: 'mean', enabled: true}]}]
}];

var data = [trace1, trace2,connecting_means];
var layout = {
  showlegend: true,
  xaxis: {
    tickson: "boundaries",
    ticklen: 15,
    showdividers: true,
    dividercolor: 'grey',
    dividerwidth: 3
  }
};


Plotly.newPlot('myDiv', data, layout,connecting_means);

<head>
    <!-- Load plotly.js into the DOM -->
    <script src='https://cdn.plot.ly/plotly-2.4.2.min.js'></script>
</head>

<body>
    <div id='myDiv'><!-- Plotly chart will be drawn inside this DIV --></div>
</body>

Answer 1

正如@r-beginners 评论的那样，Plotly 没有提取箱线图统计数据（例如中位数或四分位数）的能力。因此，您需要手动计算每个框的中位数，并在框之间画线作为轨迹。

这是 Plotly.js 中的一个解决方案，我们为每个单独的箱线图创建数组，使用 written by @JBallin, and connect them using additional traces. I've restructured your data a bit, and used a loop to connect the boxes within each category. You can find the codepen here.

找到它们的中位数

var giraffe_sf = [5,12]
var giraffe_la = [12,22,26]
var orang_sf = [13,14]
var orang_la = [18,11]
var monkeys_sf = [14,24]
var monkeys_la = [29,19,12]

sf_y = giraffe_sf.concat(orang_sf, monkeys_sf)
la_y = giraffe_la.concat(orang_la, monkeys_la)

var categories = ['giraffes', 'orangutans', 'monkeys']
var all_data = [[giraffe_sf, giraffe_la], [orang_sf, orang_la], [monkeys_sf, monkeys_la]]

function median(numbers) {
    const sorted = numbers.slice().sort((a, b) => a - b);
    const middle = Math.floor(sorted.length / 2);

    if (sorted.length % 2 === 0) {
        return (sorted[middle - 1] + sorted[middle]) / 2;
    }

    return sorted[middle];
}

// sort the arrays
var trace1 = {
  x: [
    ['giraffes', 'giraffes', 'orangutans', 'orangutans', 'monkeys', 'monkeys'],
    ['SF Zoo','SF Zoo','SF Zoo','SF Zoo','SF Zoo','SF Zoo']
  ],
  y: sf_y,
   boxpoints: 'all',
  name: 'SF Zoo',
  type: 'box',
  boxmean:true

};

var trace2 = {
  x: [
     ['giraffes', 'giraffes', 'giraffes', 'orangutans', 'orangutans', 'monkeys','monkeys', 'monkeys'],
    ['LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo','LA Zoo']
  ],
  y: la_y,
  type: 'box',
  boxmean:true,
  name: 'LA Zoo',
  boxpoints: 'all'
};

var data = [trace1, trace2];

for (let i = 0; i < categories.length; i++) {
  trace = {
    x: [
      [categories[i], categories[i]],
      ['SF Zoo','LA Zoo']
    ],
    y: [median(all_data[i][0]),median(all_data[i][1])],
    mode: 'lines',
    type: 'scatter',
    marker: {color: 'black'},
    showlegend: false
  }
  data.push(trace)
};

var layout = {
  showlegend: true,
  xaxis: {
    tickson: "boundaries",
    ticklen: 15,
    showdividers: true,
    dividercolor: 'grey',
    dividerwidth: 3
  }
};

Plotly.newPlot('myDiv', data, layout);

如何在 plotly python 中将箱形图中位数与多类别 x 轴连接起来

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