Javascript MPLD3：条形图的标签信息

我试图扩展提供的示例：

我的目的是在单击对象时显示标签，但使用条形图而不是散点图

它不适用于相同的Javascript代码：

from mpld3 import utils

class ClickInfo(plugins.PluginBase):
    """Plugin for getting info on click"""

    JAVASCRIPT = """
    mpld3.register_plugin("clickinfo", ClickInfo);
    ClickInfo.prototype = Object.create(mpld3.Plugin.prototype);
    ClickInfo.prototype.constructor = ClickInfo;
    ClickInfo.prototype.requiredProps = ["id"];
    function ClickInfo(fig, props){
        mpld3.Plugin.call(this, fig, props);
    };

    ClickInfo.prototype.draw = function(){
        var obj = mpld3.get_element(this.props.id);
        obj.elements().on("mousedown",
                          function(d, i){alert("clicked on bar[" + i + "]");});
    }
    """
    def __init__(self, bars):
        self.dict_ = {"type": "clickinfo",
                      "id": utils.get_id(bars)}
x = range(0,10)
y = np.random.rand(10)

fig, ax = plt.subplots()
bars = ax.bar(x, y)

plugins.connect(fig, ClickInfo(bars))

但是，我可以为其中一个条获取工作行为。例如，对于plugins.connectfig，单击信息栏[0]，单击第一个栏将触发警报Javascript代码

问题:

我怎么能对每个酒吧都有相同的行为

---

此外，由于我对D3和Javascript缺乏经验，对代码的工作原理进行简短的解释将非常有帮助。由于我找不到MPLD3教程，所以也欢迎任何要学习的资源

你走在正确的轨道上。以下是一种让您拥有的东西发挥作用的方法：

from mpld3 import utils, plugins

class ClickInfo(plugins.PluginBase):
    """Plugin for getting info on click"""

    JAVASCRIPT = """
    mpld3.register_plugin("clickinfo", ClickInfo);
    ClickInfo.prototype = Object.create(mpld3.Plugin.prototype);
    ClickInfo.prototype.constructor = ClickInfo;
    ClickInfo.prototype.requiredProps = ["ids"];
    function ClickInfo(fig, props){
        mpld3.Plugin.call(this, fig, props);
    };

    ClickInfo.prototype.draw = function(){
        this.props.ids.forEach(function(id, i) {
            var obj = mpld3.get_element(id);
            obj.elements().on("mousedown",
                              function(d){alert("clicked on bar[" + i + "]");});
                              });
    }
    """
    def __init__(self, bars):
        self.dict_ = {"type": "clickinfo",
                      "ids": [utils.get_id(bar) for bar in bars]}
x = range(0,10)
y = np.random.rand(10)

fig, ax = plt.subplots()
bars = ax.bar(x, y)

plugins.connect(fig, ClickInfo(bars))

---

你可以。也许其他人会有时间进一步解释代码的工作原理来扩展这个答案。

我遇到了同样的问题，我扩展了带有浮动标签的堆叠条形图的答案，您可以在这里找到：

代码可在此处找到：

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import mpld3
from mpld3 import plugins, utils

class BarLabelToolTip(plugins.PluginBase):    
    JAVASCRIPT = """
    mpld3.register_plugin("barlabeltoolTip", BarLabelToolTip);
    BarLabelToolTip.prototype = Object.create(mpld3.Plugin.prototype);
    BarLabelToolTip.prototype.constructor = BarLabelToolTip;
    BarLabelToolTip.prototype.requiredProps = ["ids","labels"];
    BarLabelToolTip.prototype.defaultProps = {
        hoffset: 0,
        voffset: 10,
        location: 'mouse'
    };
    function BarLabelToolTip(fig, props){
        mpld3.Plugin.call(this, fig, props);
    };

    BarLabelToolTip.prototype.draw = function(){
        var svg = d3.select("#" + this.fig.figid);
        var objs = svg.selectAll(".mpld3-path");
        var loc = this.props.location;
        var labels = this.props.labels

        test = this.fig.canvas.append("text")
            .text("hello world")
            .style("font-size", 72)
            .style("opacity", 0.5)
            .style("text-anchor", "middle")
            .attr("x", this.fig.width / 2)
            .attr("y", this.fig.height / 2)
            .style("visibility", "hidden");

        function mousemove(d) {
            if (loc === "mouse") {
                var pos = d3.mouse(this.fig.canvas.node())
                this.x = pos[0] + this.props.hoffset;
                this.y = pos[1] - this.props.voffset;
            }

            test
                .attr("x", this.x)
                .attr("y", this.y);
        };

        function mouseout(d) {
            test.style("visibility", "hidden")
        };

        this.props.ids.forEach(function(id, i) {


            var obj = mpld3.get_element(id);

            function mouseover(d) {
                test.style("visibility", "visible")
                    .style("font-size", 24)
                    .style("opacity", 0.7)
                    .text(labels[i])
            };

            obj.elements().on("mouseover", mouseover.bind(this))

        });

       objs.on("mousemove", mousemove.bind(this)) 
           .on("mouseout", mouseout.bind(this));     

    }       
    """
    def __init__(self, ids, labels=None, location="mouse"):

        self.dict_ = {"type": "barlabeltoolTip",
                      "ids": ids,
                      "labels": labels,
                      "location": location}

fig, ax = plt.subplots()
x = range(0,10)
y = np.random.rand(10)
bars = ax.bar(x, y)

labels = [round(bar.get_height(),2) for bar in bars]
ids = [utils.get_id(bar) for bar in bars]

plugins.connect(fig, BarLabelToolTip(ids, labels))

---

谢谢我理解python部分，但对这个仍然感到困惑。props.ids.forEachfunctionid，I{。不过，答案是完美的！这是一个更具python风格的函数编程版本：maplambda id:…，[id1，id2，id3]你好，Robert，虽然此链接可以回答问题，但最好在此处包含答案的基本部分，并提供链接供参考。如果链接页面发生更改，则仅链接的答案可能无效。请查看此处：

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import mpld3
from mpld3 import plugins, utils

class BarLabelToolTip(plugins.PluginBase):    
    JAVASCRIPT = """
    mpld3.register_plugin("barlabeltoolTip", BarLabelToolTip);
    BarLabelToolTip.prototype = Object.create(mpld3.Plugin.prototype);
    BarLabelToolTip.prototype.constructor = BarLabelToolTip;
    BarLabelToolTip.prototype.requiredProps = ["ids","labels"];
    BarLabelToolTip.prototype.defaultProps = {
        hoffset: 0,
        voffset: 10,
        location: 'mouse'
    };
    function BarLabelToolTip(fig, props){
        mpld3.Plugin.call(this, fig, props);
    };

    BarLabelToolTip.prototype.draw = function(){
        var svg = d3.select("#" + this.fig.figid);
        var objs = svg.selectAll(".mpld3-path");
        var loc = this.props.location;
        var labels = this.props.labels

        test = this.fig.canvas.append("text")
            .text("hello world")
            .style("font-size", 72)
            .style("opacity", 0.5)
            .style("text-anchor", "middle")
            .attr("x", this.fig.width / 2)
            .attr("y", this.fig.height / 2)
            .style("visibility", "hidden");

        function mousemove(d) {
            if (loc === "mouse") {
                var pos = d3.mouse(this.fig.canvas.node())
                this.x = pos[0] + this.props.hoffset;
                this.y = pos[1] - this.props.voffset;
            }

            test
                .attr("x", this.x)
                .attr("y", this.y);
        };

        function mouseout(d) {
            test.style("visibility", "hidden")
        };

        this.props.ids.forEach(function(id, i) {


            var obj = mpld3.get_element(id);

            function mouseover(d) {
                test.style("visibility", "visible")
                    .style("font-size", 24)
                    .style("opacity", 0.7)
                    .text(labels[i])
            };

            obj.elements().on("mouseover", mouseover.bind(this))

        });

       objs.on("mousemove", mousemove.bind(this)) 
           .on("mouseout", mouseout.bind(this));     

    }       
    """
    def __init__(self, ids, labels=None, location="mouse"):

        self.dict_ = {"type": "barlabeltoolTip",
                      "ids": ids,
                      "labels": labels,
                      "location": location}

fig, ax = plt.subplots()
x = range(0,10)
y = np.random.rand(10)
bars = ax.bar(x, y)

labels = [round(bar.get_height(),2) for bar in bars]
ids = [utils.get_id(bar) for bar in bars]

plugins.connect(fig, BarLabelToolTip(ids, labels))