在Plotly.js

Question

Plotly.js是否可以在条形图之间放置刻度线？在这里，我希望刻度线表示连续分布中的切割点，而条形图表示间隔之间的计数。另一种方法是使轴标号范围，例如， “5＆lt; 10”，“10-＆lt; 25”，“25-＆lt; 50”等，但显示休息时看起来更干净。

下面是Paintbrush中的一个模型，显示了所需的效果，这里我添加了刻度线并通过拖动移动了数字标签。也是玩具数据的Codepen链接：https://codepen.io/proto/pen/bKGOXg

var chart = {
  data: [
    {
      rowKey: "current",
      name: "current",
      x: ["0.1", "0.5", "1", "2", "5", "10", "25", "50", "100", "250", "500"],
      y: [
        0.006369426751592357,
        0.012738853503184714,
        0.03821656050955414,
        0.03184713375796178,
        0.10828025477707007,
        0.24203821656050956,
        0.2229299363057325,
        0.20382165605095542,
        0.12101910828025478,
        0.006369426751592357,
        0.006369426751592357
      ],
      values: [
        0.006369426751592357,
        0.012738853503184714,
        0.03821656050955414,
        0.03184713375796178,
        0.10828025477707007,
        0.24203821656050956,
        0.2229299363057325,
        0.20382165605095542,
        0.12101910828025478,
        0.006369426751592357,
        0.006369426751592357
      ],
      text: [
        "1%",
        "1%",
        "4%",
        "3%",
        "11%",
        "24%",
        "22%",
        "20%",
        "12%",
        "1%",
        "1%"
      ],
      labels: [
        "0.1",
        "0.5",
        "1",
        "2",
        "5",
        "10",
        "25",
        "50",
        "100",
        "250",
        "500"
      ],
      type: "bar",
      hoverinfo: "x+y",
      textposition: "auto",
      orientation: "v",
      mode: "lines+markers",
      marker: { color: null, colors: null },
      uid: "2cf1e3"
    }
  ],
  layout: {

    type: "bar",
    orientation: "v",
    barmode: "",
    showlegend: false,
    dataValues: true,
    series: { hoverinfo: "x+y" },
    legend: {
      orientation: "v",
      yanchor: "bottom",
      xanchor: "right",
      traceorder: "normal"
    },
    titlefont: { size: 12 },
    margin: { l: 80, r: 10, t: 140, b: 80 },
    xaxis: {
      tickangle: 0,
      tickfont: { size: 12 },
      titlefont: { size: 12, weight: 700 },
      type: "category",
      title: "scenario",
      range: [-0.5, 10.5],
      autorange: true
    },
    yaxis: {
      title: "",
      type: "linear",
      tickformat: ".0%",
      hoverformat: ".0%",
      range: [0, 0.25477707006369427],
      autorange: true
    },
    width: 500,
    height: 360,

  },
  options: {
    displayModeBar: false,
    modeBarButtonsToRemove: ["sendDataToCloud", "hoverCompareCartesian"]
  }
};
Plotly.newPlot("myDiv", chart);

Answer 1

所以我检查了情节文档，请查看可用的文档here

我们在名为offset的{ "id": "fc10d942-f460-4fbf-abb6-36943a112bf6", "name": "Custom Method Demo", "description": "", "auth": null, "events": null, "variables": [], "order": [ "becb5ff8-6d31-48ee-be3d-8c70777d60aa" ], "folders_order": [], "folders": [], "requests": [ { "id": "becb5ff8-6d31-48ee-be3d-8c70777d60aa", "name": "Custom Request Method", "url": "https://api.library.com/:method", "description": "Use a path variable to define a custom method.", "data": null, "dataMode": "params", "headerData": [], "method": "GET", "pathVariableData": [ { "key": "method", "value": "" } ], "queryParams": [], "auth": { "type": "noauth" }, "events": [ { "listen": "prerequest", "script": { "id": "b7b91243-0c58-4dc6-b3ee-4fb4ffc604db", "type": "text/javascript", "exec": [ "" ] } } ], "folder": null, "headers": "", "pathVariables": { "method": "" } } ]} 图表对象下有一个属性。 Plotly将此属性描述为。

  

偏移（数字或数组）
  移动绘制条的位置（位置轴单位）。   在“group”barmode中，将排除设置“offset”的跟踪   而是以“叠加”模式绘制。

当我将属性设置为bar时，我得到了预期的结果。请查看以下示例，如果这样可以解决您的问题，请告诉我们！

0.1

var chart = {
  data: [
    {
      rowKey: "current",
      name: "current",
      x: ["0.1", "0.5", "1", "2", "5", "10", "25", "50", "100", "250", "500"],
      offset: 0.1,
      y: [
        0.006369426751592357,
        0.012738853503184714,
        0.03821656050955414,
        0.03184713375796178,
        0.10828025477707007,
        0.24203821656050956,
        0.2229299363057325,
        0.20382165605095542,
        0.12101910828025478,
        0.006369426751592357,
        0.006369426751592357
      ],
      values: [
        0.006369426751592357,
        0.012738853503184714,
        0.03821656050955414,
        0.03184713375796178,
        0.10828025477707007,
        0.24203821656050956,
        0.2229299363057325,
        0.20382165605095542,
        0.12101910828025478,
        0.006369426751592357,
        0.006369426751592357
      ],
      text: [
        "1%",
        "1%",
        "4%",
        "3%",
        "11%",
        "24%",
        "22%",
        "20%",
        "12%",
        "1%",
        "1%"
      ],
      labels: [
        "0.1",
        "0.5",
        "1",
        "2",
        "5",
        "10",
        "25",
        "50",
        "100",
        "250",
        "500"
      ],
      type: "bar",
      hoverinfo: "x+y",
      textposition: "auto",
      orientation: "v",
      mode: "lines+markers",
      marker: { color: null, colors: null },
      uid: "2cf1e3"
    }
  ],
  layout: {
    colorway: [
      "#3399CC",
      "#99BB66",
      "#2266AA",
      "#FFCC00",
      "#888888",
      "#FFAA00",
      "#800080"
    ],
    color: "purple",
    plotlyType: "bar",
    type: "bar",
    orientation: "v",
    barmode: "",
    showlegend: false,
    dataValues: true,
    series: { hoverinfo: "x+y" },
    legend: {
      orientation: "v",
      yanchor: "bottom",
      xanchor: "right",
      traceorder: "normal"
    },
    titlefont: { size: 12 },
    margin: { l: 80, r: 10, t: 140, b: 80 },
    xaxis: {
      tickangle: 0,
      tickfont: { size: 12 },
      titlefont: { size: 12, weight: 700 },
      type: "category",
      title: "scenario",
      range: [-0.5, 10.5],
      ticks: "outside",
      autorange: true
    },
    yaxis: {
      title: "",
      type: "linear",
      tickformat: ".0%",
      hoverformat: ".0%",
      range: [0, 0.25477707006369427],
      autorange: true
    },
    transposeData: false,
    showOverall: false,
    width: 500,
    height: 360,
    showLegend: true,
    reverse: {},
    titles: {},
    swapCategoryAndLegend: false
  },
  options: {
    displayModeBar: false,
    modeBarButtonsToRemove: ["sendDataToCloud", "hoverCompareCartesian"]
  }
};
Plotly.newPlot("myDiv", chart);