javascript - 在调整窗口大小之前，响应式 Highcharts 无法正确调整大小

Question

我在 Zurb 的 Foundation 框架中使用 Highcharts 进行类(class)元素。我在一个部分选项卡中有三个图表。一个位于 12 列 div 中，另外两个位于 6 列 div 中的同一行。

当页面加载时，特色图表不会占用 12 列的可用宽度，并且两个较小的图表会溢出其 6 列。但是，当调整窗口大小时或我尝试使用 Inspect 元素进行调查时，图表会立即捕捉到正确的尺寸。此行为发生在 Chrome、FF 和 IE 中。

我知道我可以设置一个特定的宽度，但我真的很想利用 Foundation 并让它们保持响应。

我已经调整了 CSS 和 Highcharts 初始化，但我被难住了。还有其他人遇到过这个问题吗？谁能看到我错过了什么？

这是我的 HTML 的摘录:

<div class="row">
<div class="twelve columns">
    <!--begin tabs below--> 
    <div class="section-container tabs" data-section="tabs">
      <section>
        <p class="title" data-section-title><a href="#">Heart Disease</a></p>
        <div class="content" data-section-content id="heart">

            <div class="row feature-chart">
                <div class="large-12 columns">
                    <div id="heartTimeline-container">
                    <div id="heartTimeline"></div>
                    </div>
                </div> <!--close 12 columns-->
            </div> <!--close row-->
            <div class="row small-charts">
                <div class="large-6 columns">
                    <div id="heartDemo"></div>
                </div>
                <!--close 6-->
                <div class="large-6 columns">
                    <div id="heartStages"></div>
                </div>
                <!--close 6-->
            </div>
            <!--end row-->
        </div>
      </section>
   </div>
   </div>
   <!--end twelve columns-->

这是 Highcharts js:

$(function () {
    Highcharts.setOptions({
        colors: ['#1A1A1A', '#455D78', '#BDCCD4', '#999999', '#B3B3B3', '#F2F2F2']
    });
    $('#heartTimeline').highcharts({
        chart: {
            type: 'area'
        },
        title: {
            text: 'Heart Disease Death Rates in the U.S.from 1980-2010'
        },
        subtitle: {
            text: 'Source: <a href="http://www.mdch.state.mi.us/pha/osr/deaths/Heartdx.asp">'+ 
                        'Michigan Department of Community Health</a>'
        },
        xAxis: {
            labels: {
                formatter: function() {
                    return this.value; // clean, unformatted number for year
                }
            }
        },
        yAxis: {
            title: {
                text: 'Heart Disease Death Rate Per 100,000 People'
            },
            labels: {
                formatter: function() {
                    return this.value / 1 +'k';
                }
            }
        },
        tooltip: {
            pointFormat: '{series.name} produced <b>{point.y:,.0f}</b><br/>deaths per hundred thousand people in {point.x}'
        },
        plotOptions: {
            area: {
                pointStart: 1980,
                marker: {
                    enabled: false,
                    symbol: 'circle',
                    radius: 2,
                    states: {
                        hover: {
                            enabled: true
                        }
                    }
                }
            }
        },
        series: [{
            name: 'Heart Disease',
            data: [412.1, 397, 389, 388, 378, 375, 365.1, 355.9, 352.5, 332, 321.8, 313.8, 306.1, 309.9, 299.7, 296.3, 288.3, 280.4, 272.4, 267.8, 257.9, 247.8, 240.8, 232.3, 217, 211.1, 200.2, 190.9, 186.5, 180.1, 178.5]
        }, ]
    });
});
$(function () {
    $('#heartDemo').highcharts({
        chart: {
            zoomType: 'xy'
        },
        title: {
            text: 'Most Prevelant Causes and Effects of Heart Disease 2013'
        },
        subtitle: {
            text: 'Source: http://circ.ahajournals.org (The American Heart Association)'
        },
        xAxis: [{
            categories: ['Smoking', 'Obesity (BMI > 25 kg) ', 'Total cholesterol > 200 mg)', 'High Blood Pressure', 'Diabetes Mellitus', 'Prediabetes', 'Total Cardiovascular Disease', 'Stroke', 'Coronary Heart Disease', 'Heart Failure'],
            labels: {
                rotation: -90,
                align:'right'
            }
        }],
        yAxis: [{ // Primary yAxis
            labels: {
                formatter: function() {
                    return this.value +'%';
                },
                style: {
                    color: '#000000'
                }
            },
            title: {
                text: 'Men',
                style: {
                    color: '#BDCCD4'
                }
            },
            opposite: true

        }, { // Secondary yAxis
            gridLineWidth: 0,
            title: {
                text: 'Both Sexes',
                style: {
                    color: '#455D78'
                }
            },
            labels: {
                formatter: function() {
                    return this.value +' %';
                },
                style: {
                    color: '#4572A7'
                }
            }

        }, { // Tertiary yAxis
            gridLineWidth: 0,
            title: {
                text: 'Women',
                style: {
                    color: '#AA4643'
                }
            },
            labels: {
                formatter: function() {
                    return this.value +' %';
                },
                style: {
                    color: '#AA4643'
                }
            },
            opposite: true
        }],
        tooltip: {
            shared: true
        },
        legend: {
            layout: 'vertical',
            align: 'left',
            x: 120,
            verticalAlign: 'top',
            y: 80,
            floating: true,
            backgroundColor: '#FFFFFF'
        },
        series: [{
            name: 'Both Sexes',
            color: '#455D78',
            type: 'column',
            yAxis: 1,
            data: [19, 68.2, 43.4, 33, 8.3, 38.2, 35.3, 2.8, 6.4, 2.1],
            tooltip: {
                valueSuffix: ' %'
            }
        }, {
            name: 'Women',
            type: 'spline',
            color: '#AA4643',
            yAxis: 2,
            data: [16.7, 63.7, 44.9, 32.2, 7.9, 30.5, 34, 3, 5.1, 1.8],
            marker: {
                enabled: false
            },
            dashStyle: 'shortdot',
            tooltip: {
                valueSuffix: ' %'
            }
        }, {
            name: 'Men',
            color: '#BDCCD4',
            type: 'spline',
            data: [21.3, 72.9, 41.3, 33.6, 8.7, 46, 36.7, 2.6, 7.9, 2.5],
            tooltip: {
                valueSuffix: ' %'
            }
        }]
    });
});

$(function () {
    $('#heartStages').highcharts({
        chart: {
            type: 'column'
        },
        title: {
            text: 'Number of Deaths for Different Types of Heart Diseases in the U.S. for 2008'
        },
        subtitle: {
            text: 'Source: <a href="http://www.nhlbi.nih.gov/resources/docs/2012_ChartBook_508.pdf">'+ 
                'Morbitity & Mortality: 2012 Chart Book on Cardiovascular, Lung and Blood Disease</a>'
        },
        xAxis: {
            categories: [
                'Coronary Heart Disease',
                'Heart Attack',
                'Cardiomyopathy',
                'Stroke',
                'Atrial Fibrillation and Flutter',
                'Heart Failure',
                'Diseases of Pulmonary Circulation',
                'Pulmonary Embolism',
            ],
            labels: {
                rotation: -90,
                align:'right'
            }
        },
        yAxis: {
            min: 0,
            title: {
                text: 'Heart Disease Diagnostic Category (thousands)'
            }
        },
        tooltip: {
            headerFormat: '<span style="font-size:10px">{point.key}</span><table>',
            pointFormat: '<tr><td style="color:{series.color};padding:0">{series.name}: </td>' +
                '<td style="padding:0"><b>{point.y:.1f} </b></td></tr>',
            footerFormat: '</table>',
            shared: true,
            useHTML: true
        },
        plotOptions: {
            column: {
                pointPadding: 0.2,
                borderWidth: 0
            }
        },
        series: [{
            name: 'Heart Disease Related Deaths for 2008',
            data: [405.309, 133.958, 23.932, 134.148, 15.383, 56.830, 12.927, 7.158]

        }]
    });
});

Answer 1

我从另一个答案中得到这个，所以给灰点一些信任 in this question .

解决方案:在图形加载后调用$(window).resize();(或者当你用数据填充它时)