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style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">Scatter</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level3" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/chart-types/scatter/basic-scatter" class="nav-link"><span class="title">Basic Scatter</span></a> <ul class="nav bd-sidenav level4" style="display:none"></ul></li></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">Common Components</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a class="nav-link"><span class="title">Geo</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level3" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/component-types/geo/svg-base-map" class="nav-link"><span class="title">SVG Base Map</span></a> <ul class="nav bd-sidenav level4" style="display:none"></ul></li></ul></li></ul></li><!----><li class="nav-item"><a class="nav-link"><span class="title">Cross Platform</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/cross-platform/server" class="nav-link"><span class="title">Server Side Rendering</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">Data</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/data/dynamic-data" class="nav-link"><span class="title">Dynamic Data</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li><!----></ul></li><li class="nav-item"><a class="nav-link"><span class="title">Label</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/label/rich-text" class="nav-link"><span class="title">Rich Text</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">Animation</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/animation/transition" class="nav-link"><span class="title">Data Transition</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li><li class="nav-item"><a class="nav-link"><span class="title">Interaction</span> <span class="glyphicon glyphicon-menu-down"></span></a> <ul class="nav bd-sidenav level2" style="display:none"><li class="nav-item"><a href="/echarts-handbook/en/how-to/interaction/drag" class="nav-link"><span class="title">Drag</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li><!----><li class="nav-item"><a href="/echarts-handbook/en/how-to/interaction/coarse-pointer" class="nav-link"><span class="title">Intelligent Pointer Snapping</span></a> <ul class="nav bd-sidenav level3" style="display:none"></ul></li></ul></li></ul></li><li class="nav-item"><div class="nav-link"><span class="title">Best Practices</span></div> <ul class="nav bd-sidenav level1"><!----><li class="nav-item"><a href="/echarts-handbook/en/best-practices/canvas-vs-svg" class="nav-link"><span class="title">Canvas vs. SVG</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li><li class="nav-item"><a href="/echarts-handbook/en/best-practices/aria" class="nav-link"><span class="title">Aria</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li><li class="nav-item"><a href="/echarts-handbook/en/best-practices/security" class="nav-link"><span class="title">Security Guidelines</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li></ul></li><li class="nav-item"><div class="nav-link"><span class="title">Edit Handbook</span></div> <ul class="nav bd-sidenav level1"><li class="nav-item"><a href="/echarts-handbook/en/meta/edit-guide" class="nav-link"><span class="title">Edit Guide</span></a> <ul class="nav bd-sidenav level2" style="display:none"></ul></li></ul></li></ul></div> <div class="open-sidebar"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 5l7 7-7 7"></path></svg></div></div> <div class="bd-content col-sm-7 pl-sm-2 col-12"><div class="post-content content"><div><div class="post-inner"><!----> <div class="nuxt-content"><article><h1 id="apache-echarts-6-new-features" tabindex="-1">Apache ECharts 6 New Features</h1> <p>Twelve years ago, ECharts was first released on GitHub, planting the seed for an open-source journey.</p> <p>From a simple charting tool to a visualization powerhouse supporting millions of developers; from a single front-end charting library to a comprehensive technology system covering mobile, large screens, and server-side rendering—over these 12 years, we've witnessed ECharts' continuous technical breakthroughs and have been delighted to see developers worldwide create countless stunning data stories with ECharts.</p> <p>Now, Apache ECharts 6.0 is officially released, bringing 12 major upgrades to take your data visualization to the next level.</p> <h2 id="feature-overview" tabindex="-1">Feature Overview</h2> <p>Twelve years of accumulation, all for more ultimate visual expression. The core strength of Apache ECharts has always come from a deep understanding of developers' real challenges. When defining the direction for 6.0, the question was clear: <strong>How can we make complex data presentation both powerful and elegant?</strong></p> <p>This drove us to evolve deeply around three core dimensions:</p> <ul><li><strong>More professional visual presentation</strong>: From a meticulously crafted default theme to intelligent dark mode switching, ensuring charts have a professional look and seamlessly integrate into modern applications.</li> <li><strong>Expanding the boundaries of data expression</strong>: New chart types and features to handle complex scenarios and enable intuitive expression of deep data.</li> <li><strong>Unleashing freedom of composition</strong>: From the revolutionary matrix coordinate system to reusable custom series and optimized axis labels—empowering developers to freely compose and turn creativity into unconstrained visual works.</li></ul> <p>We have made 12 upgrades across these three core dimensions. These are not just simple feature additions, but a solid foundation for building the next generation of data-driven applications. They all point to one goal: <strong>to make ECharts powerful, reliable, and stable in the background, leaving the stage and spotlight for your creative expression.</strong></p> <p>Below, we introduce these twelve upgrades in detail:</p> <ul><li><strong>More professional visual presentation</strong> <ul><li><strong>1. Brand New Default Theme</strong>: Modern design language for professional data expression</li> <li><strong>2. Dynamic Theme Switching</strong>: Seamless runtime theme switching for multi-theme scenarios</li> <li><strong>3. Dark Mode Support</strong>: Automatically adapts to system dark/light mode for better UX</li></ul></li> <li><strong>Expanding the boundaries of data expression</strong> <ul><li><strong>4. New Chord Chart</strong>: Visualize complex relationships and distributions</li> <li><strong>5. New Beeswarm Chart</strong>: Smartly expand overlapping data points into a honeycomb layout</li> <li><strong>6. New Scatter Jittering</strong>: Add jitter to scatter plots for better readability of dense data</li> <li><strong>7. New Broken Axis</strong>: Easily present data with large magnitude differences</li> <li><strong>8. Enhanced Stock Trading Charts</strong>: Improved label capabilities and more out-of-the-box trading charts</li></ul></li> <li><strong>Unleashing freedom of composition</strong> <ul><li><strong>9. New Matrix Coordinate System</strong>: Freely combine chart types and components like a table</li> <li><strong>10. Enhanced Custom Series</strong>: Support npm publishing and dynamic registration for code reuse</li> <li><strong>11. New Custom Charts</strong>: Violin, contour, stage, bar range, and line range charts</li> <li><strong>12. Axis Label Optimization</strong>: Smarter default axis label layout to prevent overflow and overlap</li></ul></li></ul> <p>With these upgrades, Apache ECharts 6.0 helps users create more charts more flexibly and conveniently, truly achieving "unlimited possibilities in charting"!</p> <h2 id="feature-details" tabindex="-1">Feature Details</h2> <h3 id="1.-brand-new-default-theme" tabindex="-1">1. Brand New Default Theme</h3> <p>During the development of ECharts 6.0, we analyzed real user scenarios and found that over 70% of developers use the default theme. This made us realize: an excellent default theme should not only be aesthetically pleasing but also meet the general needs of various business scenarios.</p> <p>The new theme system uses design tokens to reconstruct colors, spacing, and other design elements, <strong>making different chart types and components more harmonious and consistent</strong>.</p> <img data-src="images/feature-v6/1-default-theme.png" width="600px"> <p>Although the 6.0 theme has significant changes from 5.x, we provide a <a href="https://github.com/apache/echarts/blob/master/theme/v5.js">v5.js</a> theme file for developers who want to use new features but keep the old style for quick migration.</p> <h3 id="2.-dynamic-theme-switching" tabindex="-1">2. Dynamic Theme Switching</h3> <p>In previous versions, changing a chart's theme required disposing of the chart instance and re-initializing, which could negatively impact user experience due to repeated animations. In the new version, we implemented <strong>dynamic theme switching</strong> (see documentation), significantly improving the user experience.</p> <img data-src="images/feature-v6/2-switch-themes.gif" width="600px"> <h3 id="3.-dark-mode-support" tabindex="-1">3. Dark Mode Support</h3> <p>With dynamic theme registration and switching, a typical scenario is <strong>listening to the system's dark mode and dynamically adjusting the chart's theme</strong>.</p> <img data-src="images/feature-v6/3-responsive-themes.gif" width="600px"> <p>This is crucial for business scenarios supporting dark mode, ensuring the application interface matches the system theme and greatly enhancing user experience.</p> <p>Here's how to listen for system dark mode and change the chart theme:</p> <div class="md-code-block"><div class="nuxt-content-highlight"><pre class="language-js line-numbers"><code><span class="token keyword">const</span> darkModeMediaQuery <span class="token operator">=</span> window<span class="token punctuation">.</span><span class="token function">matchMedia</span><span class="token punctuation">(</span><span class="token string">'(prefers-color-scheme: dark)'</span><span class="token punctuation">)</span><span class="token punctuation">;</span> |
| <span class="token punctuation">}</span><span class="token punctuation">)</span><span class="token punctuation">;</span></code></pre></div> <!----> <div class="clipboard" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-6 w-6" data-v-479657ca><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M8 5H6a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2v-1M8 5a2 2 0 002 2h2a2 2 0 002-2M8 5a2 2 0 012-2h2a2 2 0 012 2m0 0h2a2 2 0 012 2v3m2 4H10m0 0l3-3m-3 3l3 3" data-v-479657ca></path></svg></svg></div></div> <h3 id="4.-new-chord-chart" tabindex="-1">4. New Chord Chart</h3> <p>Chord charts intuitively show flows and weights in complex relationship networks, ideal for scenarios like financial transactions and social networks. ECharts innovatively supports <strong>using gradient colors from source and target nodes for edges, creating unique visual effects</strong>. See <a href="https://echarts.apache.org/option.html#series-chord">series-chord</a>.</p> <img data-src="images/feature-v6/4-chord.gif" width="600px"> <h3 id="5.-new-beeswarm-chart" tabindex="-1">5. New Beeswarm Chart</h3> <p>Traditional scatter plots can become overcrowded on category axes. Beeswarm charts use non-numeric axis offsets to <strong>distribute points without overlap while preserving value axis accuracy</strong>. Set <a href="https://echarts.apache.org/option.html#xAxis.jitter">jitter</a> to a non-zero value and <a href="https://echarts.apache.org/option.html#xAxis.jitterOverlap">jitterOverlap</a> to <code>false</code> to enable beeswarm charts.</p> <img data-src="images/feature-v6/5-beeswarm.png" width="600px"> <h3 id="6.-new-scatter-jittering" tabindex="-1">6. New Scatter Jittering</h3> <p>Scatter jittering adds random offsets to non-data dimensions, <strong>solving the problem of overly dense data points</strong>.</p> <p>Without jittering, it's hard to see the distribution when data is dense:</p> <img data-src="images/feature-v6/6-jittering-off.png" width="600px"> <p>With jittering enabled, the densest range (6-8) becomes clear. Compared to beeswarm, scatter jittering offers better performance.</p> <img data-src="images/feature-v6/6-jittering-on.png" width="600px"> <p>Set <a href="https://echarts.apache.org/option.html#xAxis.jitter">jitter</a> to a non-zero value and <a href="https://echarts.apache.org/option.html#xAxis.jitterOverlap">jitterOverlap</a> to <code>true</code> to enable scatter jittering.</p> <h3 id="7.-new-broken-axis" tabindex="-1">7. New Broken Axis</h3> <p>Broken axis is a visualization technique for showing data with large magnitude differences. In ECharts 6.0, we innovatively implemented a <strong>torn-paper effect for broken axes</strong>, making the meaning more intuitive, and supporting click-to-expand to restore the real data ratio.</p> <img data-src="images/feature-v6/7-break-axis.gif" width="600px"> <h3 id="8.-enhanced-stock-trading-charts" tabindex="-1">8. Enhanced Stock Trading Charts</h3> <p>ECharts 6.0 deeply optimizes for financial trading scenarios, enhancing label positioning relative to coordinate systems to help developers quickly build professional-grade trading analysis tools.</p> <p>Below is a comprehensive stock trading chart using ECharts, combining <strong>time-sharing, MACD, volume, order book, and depth chart</strong>:</p> <img data-src="images/feature-v6/8-stock.png" width="600px"> <p>These examples help developers quickly meet financial trading needs. For example, displaying numbers in the four corners of the chart can be achieved with <a href="https://echarts.apache.org/option.html#series-line.markPoint.data.relativeTo">relativeTo</a>.</p> <h3 id="9.-new-matrix-coordinate-system" tabindex="-1">9. New Matrix Coordinate System</h3> <p>The above example also uses the new matrix coordinate system in ECharts 6.0, which is very powerful. It can be used for covariance matrix charts:</p> <iframe width="600" height="700" src=""></iframe> <p>Periodic table:</p> <iframe width="100%" height="600" src=""></iframe> <p>As a layout, it also allows developers to combine various chart types and components to create flexible and complex visualizations:</p> <iframe width="100%" height="600" src=""></iframe> <h3 id="10.-enhanced-custom-series" tabindex="-1">10. Enhanced Custom Series</h3> <p>Previously, using ECharts custom series meant developers had to write complex <code>renderItem</code> logic from scratch, and code reuse was limited to copy-pasting. Now, ECharts 6.0 brings a standardized, reusable solution:</p> <ul><li><strong>Custom series registration</strong>: Like theme registration, custom series can be dynamically registered and used as easily as built-in series. See <a href="https://echarts.apache.org/option.html#series-custom.renderItem">series-custom.renderItem</a></li> <li><strong>Official custom series project</strong>: The official project at <a href="https://github.com/apache/echarts-custom-series">https://github.com/apache/echarts-custom-series</a> provides multiple custom series, available via npm after the official release</li> <li><strong>Publish your own custom series</strong>: Submit a pull request to the above project or publish to your own repo for code reuse</li></ul> <h3 id="11.-new-custom-charts" tabindex="-1">11. New Custom Charts</h3> <p>This release provides 6 practical custom charts in the custom series project. See <a href="https://github.com/apache/echarts-custom-series">echarts-custom-series</a> for usage and documentation. Including <strong>violin chart</strong>:</p> <img data-src="images/feature-v6/11-violin.png" width="600px"> <p><strong>Contour chart</strong>:</p> <img data-src="images/feature-v6/11-contour.png" width="600px"> <p><strong>Sleep stage chart</strong>:</p> <img data-src="images/feature-v6/11-stage.png" width="600px"> <p><strong>Segmented doughnut chart</strong>:</p> <img data-src="images/feature-v6/11-segmentedDoughnut.png" width="600px"> <p><strong>Bar range chart</strong>:</p> <img data-src="images/feature-v6/11-barRange.png" width="600px"> <p><strong>Line range chart</strong>:</p> <img data-src="images/feature-v6/11-lineRange.png" width="600px"> <p>Unleash your creativity and join us in creating more custom charts!</p> <h3 id="12.-axis-label-optimization" tabindex="-1">12. Axis Label Optimization</h3> <p>In previous versions, axis labels and names in rectangular coordinate systems could easily overflow or overlap when data was long. Users couldn't always predict space needs as data changed. In this version, we've optimized the default strategies to prevent overflow and overlap.</p> <h2 id="upgrade-guide" tabindex="-1">Upgrade Guide</h2> <p>See the full <a href="https://echarts.apache.org/changelog.html#v6-0-0">changelog</a> and <a href="en/basics/release-note/v6-upgrade-guide">upgrade guide</a>.</p></article></div></div> <div class="post-contributors"><h3><span class="inline-block align-middle">Contributors</span> <a target="_blank" href="https://github.com/apache/echarts-handbook/tree/master/contents/en/basics/release-note/v6-feature.md" title="Edit this Document" class="inline-block align-middle text-sm"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor" class="h-8 w-8 inline-block align-middle"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"></path></svg> <span class="inline-block align-middle">Edit this page on GitHub</span></a></h3> <div class="post-contributors-list"><a href="https://github.com/plainheart" target="_blank" class="post-contributor has-avatar"><img alt="plainheart" src="https://echarts.apache.org/en/images/people/plainheart.jpg" loading="lazy" decoding="async" fetchpriority="low"> <span>plainheart</span></a><a href="https://github.com/Ovilia" target="_blank" class="post-contributor has-avatar"><img alt="Ovilia" src="https://echarts.apache.org/en/images/people/羡辙.jpg?_v_=20240226" loading="lazy" decoding="async" fetchpriority="low"> <span>Ovilia</span></a></div></div></div></div></div></div></div></div></div></div><script>window.__NUXT__=function(e,t,i,r,a,n,s,o,d,l,h,c,p,g,m,u,f,v,b,w,y,x,C,k,S,G,E,N,A,B,T,j,I,R,V,z,P,F,Z,D,W,L,M,X,O,U,q,J,Y,K,H,_,Q,$,ee,te,ie,re,ae,ne,se,oe,de){return{layout:"default",data:[{html:'<h1 id="apache-echarts-6-new-features" tabindex="-1">Apache ECharts 6 New Features</h1>\n<p>Twelve years ago, ECharts was first released on GitHub, planting the seed for an open-source journey.</p>\n<p>From a simple charting tool to a visualization powerhouse supporting millions of developers; from a single front-end charting library to a comprehensive technology system covering mobile, large screens, and server-side rendering—over these 12 years, we\'ve witnessed ECharts\' continuous technical breakthroughs and have been delighted to see developers worldwide create countless stunning data stories with ECharts.</p>\n<p>Now, Apache ECharts 6.0 is officially released, bringing 12 major upgrades to take your data visualization to the next level.</p>\n<h2 id="feature-overview" tabindex="-1">Feature Overview</h2>\n<p>Twelve years of accumulation, all for more ultimate visual expression. The core strength of Apache ECharts has always come from a deep understanding of developers\' real challenges. When defining the direction for 6.0, the question was clear: <strong>How can we make complex data presentation both powerful and elegant?</strong></p>\n<p>This drove us to evolve deeply around three core dimensions:</p>\n<ul>\n<li><strong>More professional visual presentation</strong>: From a meticulously crafted default theme to intelligent dark mode switching, ensuring charts have a professional look and seamlessly integrate into modern applications.</li>\n<li><strong>Expanding the boundaries of data expression</strong>: New chart types and features to handle complex scenarios and enable intuitive expression of deep data.</li>\n<li><strong>Unleashing freedom of composition</strong>: From the revolutionary matrix coordinate system to reusable custom series and optimized axis labels—empowering developers to freely compose and turn creativity into unconstrained visual works.</li>\n</ul>\n<p>We have made 12 upgrades across these three core dimensions. These are not just simple feature additions, but a solid foundation for building the next generation of data-driven applications. They all point to one goal: <strong>to make ECharts powerful, reliable, and stable in the background, leaving the stage and spotlight for your creative expression.</strong></p>\n<p>Below, we introduce these twelve upgrades in detail:</p>\n<ul>\n<li><strong>More professional visual presentation</strong>\n<ul>\n<li><strong>1. Brand New Default Theme</strong>: Modern design language for professional data expression</li>\n<li><strong>2. Dynamic Theme Switching</strong>: Seamless runtime theme switching for multi-theme scenarios</li>\n<li><strong>3. Dark Mode Support</strong>: Automatically adapts to system dark/light mode for better UX</li>\n</ul>\n</li>\n<li><strong>Expanding the boundaries of data expression</strong>\n<ul>\n<li><strong>4. New Chord Chart</strong>: Visualize complex relationships and distributions</li>\n<li><strong>5. New Beeswarm Chart</strong>: Smartly expand overlapping data points into a honeycomb layout</li>\n<li><strong>6. New Scatter Jittering</strong>: Add jitter to scatter plots for better readability of dense data</li>\n<li><strong>7. New Broken Axis</strong>: Easily present data with large magnitude differences</li>\n<li><strong>8. Enhanced Stock Trading Charts</strong>: Improved label capabilities and more out-of-the-box trading charts</li>\n</ul>\n</li>\n<li><strong>Unleashing freedom of composition</strong>\n<ul>\n<li><strong>9. New Matrix Coordinate System</strong>: Freely combine chart types and components like a table</li>\n<li><strong>10. Enhanced Custom Series</strong>: Support npm publishing and dynamic registration for code reuse</li>\n<li><strong>11. New Custom Charts</strong>: Violin, contour, stage, bar range, and line range charts</li>\n<li><strong>12. Axis Label Optimization</strong>: Smarter default axis label layout to prevent overflow and overlap</li>\n</ul>\n</li>\n</ul>\n<p>With these upgrades, Apache ECharts 6.0 helps users create more charts more flexibly and conveniently, truly achieving "unlimited possibilities in charting"!</p>\n<h2 id="feature-details" tabindex="-1">Feature Details</h2>\n<h3 id="1.-brand-new-default-theme" tabindex="-1">1. Brand New Default Theme</h3>\n<p>During the development of ECharts 6.0, we analyzed real user scenarios and found that over 70% of developers use the default theme. This made us realize: an excellent default theme should not only be aesthetically pleasing but also meet the general needs of various business scenarios.</p>\n<p>The new theme system uses design tokens to reconstruct colors, spacing, and other design elements, <strong>making different chart types and components more harmonious and consistent</strong>.</p>\n<img data-src="images/feature-v6/1-default-theme.png" width="600px" />\n<p>Although the 6.0 theme has significant changes from 5.x, we provide a <a href="https://github.com/apache/echarts/blob/master/theme/v5.js">v5.js</a> theme file for developers who want to use new features but keep the old style for quick migration.</p>\n<h3 id="2.-dynamic-theme-switching" tabindex="-1">2. Dynamic Theme Switching</h3>\n<p>In previous versions, changing a chart\'s theme required disposing of the chart instance and re-initializing, which could negatively impact user experience due to repeated animations. In the new version, we implemented <strong>dynamic theme switching</strong> (see documentation), significantly improving the user experience.</p>\n<img data-src="images/feature-v6/2-switch-themes.gif" width="600px" />\n<h3 id="3.-dark-mode-support" tabindex="-1">3. Dark Mode Support</h3>\n<p>With dynamic theme registration and switching, a typical scenario is <strong>listening to the system\'s dark mode and dynamically adjusting the chart\'s theme</strong>.</p>\n<img data-src="images/feature-v6/3-responsive-themes.gif" width="600px" />\n<p>This is crucial for business scenarios supporting dark mode, ensuring the application interface matches the system theme and greatly enhancing user experience.</p>\n<p>Here\'s how to listen for system dark mode and change the chart theme:</p>\n<md-code-block lang="js" code="\'Y29uc3QgZGFya01vZGVNZWRpYVF1ZXJ5ID0gd2luZG93Lm1hdGNoTWVkaWEoJyhwcmVmZXJzLWNvbG9yLXNjaGVtZTogZGFyayknKTsKZnVuY3Rpb24gdXBkYXRlRGFya01vZGUoKSB7CiAgICBjb25zdCBpc0RhcmtNb2RlID0gZGFya01vZGVNZWRpYVF1ZXJ5Lm1hdGNoZXM7CiAgICBmb3IgKGNvbnN0IGNoYXJ0IG9mIGNoYXJ0cykgewogICAgICAgIGNoYXJ0LnNldFRoZW1lKGlzRGFya01vZGUgPyAnZGFyaycgOiAnZGVmYXVsdCcpOwogICAgfQp9CmRhcmtNb2RlTWVkaWFRdWVyeS5hZGRFdmVudExpc3RlbmVyKCdjaGFuZ2UnLCAoKSA9PiB7CiAgICB1cGRhdGVEYXJrTW9kZSgpOwp9KTs\'" line-highlights="\'\'" />\n<h3 id="4.-new-chord-chart" tabindex="-1">4. New Chord Chart</h3>\n<p>Chord charts intuitively show flows and weights in complex relationship networks, ideal for scenarios like financial transactions and social networks. ECharts innovatively supports <strong>using gradient colors from source and target nodes for edges, creating unique visual effects</strong>. See <a href="https://echarts.apache.org/option.html#series-chord">series-chord</a>.</p>\n<img data-src="images/feature-v6/4-chord.gif" width="600px" />\n<h3 id="5.-new-beeswarm-chart" tabindex="-1">5. New Beeswarm Chart</h3>\n<p>Traditional scatter plots can become overcrowded on category axes. Beeswarm charts use non-numeric axis offsets to <strong>distribute points without overlap while preserving value axis accuracy</strong>. Set <a href="https://echarts.apache.org/option.html#xAxis.jitter">jitter</a> to a non-zero value and <a href="https://echarts.apache.org/option.html#xAxis.jitterOverlap">jitterOverlap</a> to <code>false</code> to enable beeswarm charts.</p>\n<img data-src="images/feature-v6/5-beeswarm.png" width="600px" />\n<h3 id="6.-new-scatter-jittering" tabindex="-1">6. New Scatter Jittering</h3>\n<p>Scatter jittering adds random offsets to non-data dimensions, <strong>solving the problem of overly dense data points</strong>.</p>\n<p>Without jittering, it\'s hard to see the distribution when data is dense:</p>\n<img data-src="images/feature-v6/6-jittering-off.png" width="600px" />\n<p>With jittering enabled, the densest range (6-8) becomes clear. Compared to beeswarm, scatter jittering offers better performance.</p>\n<img data-src="images/feature-v6/6-jittering-on.png" width="600px" />\n<p>Set <a href="https://echarts.apache.org/option.html#xAxis.jitter">jitter</a> to a non-zero value and <a href="https://echarts.apache.org/option.html#xAxis.jitterOverlap">jitterOverlap</a> to <code>true</code> to enable scatter jittering.</p>\n<h3 id="7.-new-broken-axis" tabindex="-1">7. New Broken Axis</h3>\n<p>Broken axis is a visualization technique for showing data with large magnitude differences. In ECharts 6.0, we innovatively implemented a <strong>torn-paper effect for broken axes</strong>, making the meaning more intuitive, and supporting click-to-expand to restore the real data ratio.</p>\n<img data-src="images/feature-v6/7-break-axis.gif" width="600px" />\n<h3 id="8.-enhanced-stock-trading-charts" tabindex="-1">8. Enhanced Stock Trading Charts</h3>\n<p>ECharts 6.0 deeply optimizes for financial trading scenarios, enhancing label positioning relative to coordinate systems to help developers quickly build professional-grade trading analysis tools.</p>\n<p>Below is a comprehensive stock trading chart using ECharts, combining <strong>time-sharing, MACD, volume, order book, and depth chart</strong>:</p>\n<img data-src="images/feature-v6/8-stock.png" width="600px" />\n<p>These examples help developers quickly meet financial trading needs. For example, displaying numbers in the four corners of the chart can be achieved with <a href="https://echarts.apache.org/option.html#series-line.markPoint.data.relativeTo">relativeTo</a>.</p>\n<h3 id="9.-new-matrix-coordinate-system" tabindex="-1">9. New Matrix Coordinate System</h3>\n<p>The above example also uses the new matrix coordinate system in ECharts 6.0, which is very powerful. It can be used for covariance matrix charts:</p>\n<md-example src="matrix-covariance" width="600" height="700" />\n<p>Periodic table:</p>\n<md-example src="matrix-periodic-table" width="100%" height="600" />\n<p>As a layout, it also allows developers to combine various chart types and components to create flexible and complex visualizations:</p>\n<md-example src="matrix-grid-layout" width="100%" height="600" />\n<h3 id="10.-enhanced-custom-series" tabindex="-1">10. Enhanced Custom Series</h3>\n<p>Previously, using ECharts custom series meant developers had to write complex <code>renderItem</code> logic from scratch, and code reuse was limited to copy-pasting. Now, ECharts 6.0 brings a standardized, reusable solution:</p>\n<ul>\n<li><strong>Custom series registration</strong>: Like theme registration, custom series can be dynamically registered and used as easily as built-in series. See <a href="https://echarts.apache.org/option.html#series-custom.renderItem">series-custom.renderItem</a></li>\n<li><strong>Official custom series project</strong>: The official project at <a href="https://github.com/apache/echarts-custom-series">https://github.com/apache/echarts-custom-series</a> provides multiple custom series, available via npm after the official release</li>\n<li><strong>Publish your own custom series</strong>: Submit a pull request to the above project or publish to your own repo for code reuse</li>\n</ul>\n<h3 id="11.-new-custom-charts" tabindex="-1">11. New Custom Charts</h3>\n<p>This release provides 6 practical custom charts in the custom series project. See <a href="https://github.com/apache/echarts-custom-series">echarts-custom-series</a> for usage and documentation. Including <strong>violin chart</strong>:</p>\n<img data-src="images/feature-v6/11-violin.png" width="600px" />\n<p><strong>Contour chart</strong>:</p>\n<img data-src="images/feature-v6/11-contour.png" width="600px" />\n<p><strong>Sleep stage chart</strong>:</p>\n<img data-src="images/feature-v6/11-stage.png" width="600px" />\n<p><strong>Segmented doughnut chart</strong>:</p>\n<img data-src="images/feature-v6/11-segmentedDoughnut.png" width="600px" />\n<p><strong>Bar range chart</strong>:</p>\n<img data-src="images/feature-v6/11-barRange.png" width="600px" />\n<p><strong>Line range chart</strong>:</p>\n<img data-src="images/feature-v6/11-lineRange.png" width="600px" />\n<p>Unleash your creativity and join us in creating more custom charts!</p>\n<h3 id="12.-axis-label-optimization" tabindex="-1">12. Axis Label Optimization</h3>\n<p>In previous versions, axis labels and names in rectangular coordinate systems could easily overflow or overlap when data was long. Users couldn\'t always predict space needs as data changed. In this version, we\'ve optimized the default strategies to prevent overflow and overlap.</p>\n<h2 id="upgrade-guide" tabindex="-1">Upgrade Guide</h2>\n<p>See the full <a href="https://echarts.apache.org/changelog.html#v6-0-0">changelog</a> and <a href="en/basics/release-note/v6-upgrade-guide">upgrade guide</a>.</p>\n',postPath:"en/basics/release-note/v6-feature",title:"ECharts 6 Features - What's New - Basics"}],fetch:{},error:null,state:{filled:!1,docVersion:"",ghVersion:"",visibleAffix:!1,homepage:{},adBlocked:!1,focusMode:!1,posts:{zh:[{title:"快速上手",dir:r},{title:"入门篇",dir:a,children:[{title:"获取 ECharts",dir:n},{title:"在项目中引入 ECharts",dir:s},{title:"资源列表",dir:o,draft:e},{title:"寻求帮助",dir:d},{title:"版本特性",dir:l,children:[{title:"ECharts 6 特性介绍",dir:h},{title:"v5 升级 v6 指南",dir:c},{title:"5.0",dir:p},{title:"v4 升级 v5 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