Add to Cart Charts
IM体育提供可定制的响应式图表,包括:赛事热度趋势、球队表现对比和赛果分布。
IM Sports Component
请确保在您的文档中链接到 Chartist 的 CSS 和 JS 文件:vendor/chartist/dist/chartist.min.css 和 vendor/chartist/dist/chartist.min.js。将此页面作为参考。
数据接口详解
IM体育为核心功能增加了数据属性层,可以直接在 HTML 文档中访问。主要有 3 个属性:
data-line-chart | data-bar-chart | data-pie-chart - 以 JSON 格式传入数据,分别显示在趋势图、对比图或饼图中。data-options- 以 JSON 格式传入附加选项。data-series-color- 为每个数据集分配单独的颜色。数据以 JSON 格式传入。 查看下方代码示例。
更多功能,请访问官方插件网站:
http://gionkunz.github.io/chartist-js/index.htmlLine chart
Company 1
Company 2
Company 3
<!-- Line chart: Multiple lines of different color + Legend -->
<!-- Legend -->
<div class="d-flex flex-wrap justify-content-center fs-ms">
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #4e54c8;"></div>
<span class="d-inline-block align-middle">Company 1</span>
</div>
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #fea569;"></div>
<span class="d-inline-block align-middle">Company 2</span>
</div>
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #f34770;"></div>
<span class="d-inline-block align-middle">Company 3</span>
</div>
</div>
<!-- Chart -->
<div class="ct-chart ct-perfect-fourth" data-line-chart='{"labels": ["W1", "W2", "W3", "W4", "W5", "W6", "W7", "W8", "W9"], "series": [[12, 9, 7, 8, 6, 4, 3, 2, 0], [2, 1, 3, 7, 9, 8, 7.7, 4, 7], [1, 3, 4, 5, 6, 8, 9, 10, 11]]}' data-options='{"axisY": {"onlyInteger": true}}' data-series-color='{"colors": ["#4e54c8", "#fea569", "#f34770"]}'></div> // Line chart: Multiple lines of different color + Legend
// Legend
.d-flex.flex-wrap.justify-content-center.fs-ms
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #4e54c8;")
span.d-inline-block.align-middle Company 1
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #fea569;")
span.d-inline-block.align-middle Company 2
.border.rounded.py-1.px-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #f34770;")
span.d-inline-block.align-middle Company 3
// Chart
.ct-chart.ct-perfect-fourth(data-line-chart='{"labels": ["W1", "W2", "W3", "W4", "W5", "W6", "W7", "W8", "W9"], "series": [[12, 9, 7, 8, 6, 4, 3, 2, 0], [2, 1, 3, 7, 9, 8, 7.7, 4, 7], [1, 3, 4, 5, 6, 8, 9, 10, 11]]}', data-options='{"axisY": {"onlyInteger": true}}', data-series-color='{"colors": ["#4e54c8", "#fea569", "#f34770"]}')
Bar chart
Company 1
Company 2
<!-- Bar chart: Multiple bars of different color + Legend -->
<!-- Legend -->
<div class="d-flex flex-wrap justify-content-center fs-ms">
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #f34770;"></div>
<span class="d-inline-block align-middle">Company 1</span>
</div>
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #fea569;"></div>
<span class="d-inline-block align-middle">Company 2</span>
</div>
</div>
<!-- Chart -->
<div class="ct-chart ct-perfect-fourth" data-bar-chart='{"labels": ["2016", "2017", "2018", "2019", "2020", "2021"], "series": [[12000, 9000, 7000, 8000, 11000, 6000], [3500, 5000, 8750, 1300, 3000, 8750]]}', data-series-color='{"colors": ["#f34770", "#fea569"]}'></div> // Bar chart: Multiple bars of different color + Legend
// Legend
.d-flex.flex-wrap.justify-content-center.fs-ms
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #f34770;")
span.d-inline-block.align-middle Company 1
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #fea569;")
span.d-inline-block.align-middle Company 2
// Chart
.ct-chart.ct-perfect-fourth(data-bar-chart='{"labels": ["2016", "2017", "2018", "2019", "2020", "2021"], "series": [[12000, 9000, 7000, 8000, 11000, 6000], [3500, 5000, 8750, 1300, 3000, 8750]]}', data-series-color='{"colors": ["#f34770", "#fea569"]}')
Pie chart
Company 1
Company 2
Company 3
<!-- Pie chart: Multiple slices of different color + Legend -->
<!-- Legend -->
<div class="d-flex flex-wrap justify-content-center fs-ms">
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #69b3fe;"></div>
<span class="d-inline-block align-middle">Company 1</span>
</div>
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #42d697;"></div>
<span class="d-inline-block align-middle">Company 2</span>
</div>
<div class="border rounded py-1 px-2 me-2 mb-2">
<div class="d-inline-block align-middle me-1" style="width: .75rem; height: .75rem; background-color: #f34770;"></div>
<span class="d-inline-block align-middle">Company 3</span>
</div>
</div>
<!-- Chart -->
<div class="ct-chart ct-perfect-fourth" data-pie-chart='{"series": [5, 3, 4]}', data-series-color='{"colors": ["#69b3fe", "#42d697", "#f34770"]}'></div> // Pie chart: Multiple slices of different color + Legend
// Legend
.d-flex.flex-wrap.justify-content-center.fs-ms
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #69b3fe;")
span.d-inline-block.align-middle Company 1
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #42d697;")
span.d-inline-block.align-middle Company 2
.border.rounded.py-1.px-2.me-2.mb-2
.d-inline-block.align-middle.me-1(style="width: .75rem; height: .75rem; background-color: #f34770;")
span.d-inline-block.align-middle Company 3
// Chart
.ct-chart.ct-perfect-fourth(data-pie-chart='{"series": [5, 3, 4]}', data-series-color='{"colors": ["#69b3fe", "#42d697", "#f34770"]}')