为什么我的Vega-Lite工具提示附加到规则如此缓慢

huangapple go评论61阅读模式
英文:

Why is my vega-lite tooltip attached to a rule so slow

问题

I have <a href="https://vega.github.io/editor/#/url/vega-lite/N4IgJAzgxgFgpgWwIYgFwhgF0wBwqgegIDc4BzJAOjIEtMYBXAI0poHsDp5kTykBaADZ04JAKyUAVhDYA7EABoQspAjhoQpCvwCMAEwBMepnDEB2fgDYAzAE49-ACxjHB-gA4kjgZdvW4trbutmaWOkyKIIJIAJ5wAE5oANqgcLJQbHo0smRooDF5IEgAHjQQhWzxNGmYGoJwAGa1AL5KDdWCehrESIIM6s2tIDhI8arlqCnKquroAOpwSPQJkUzZXej1ZGldShBw9VC1qKDtB3oTSSALS-CJALpKmDE4s8Ns2S3NjyDI8QDWhU+CRwbGimDewlki0STxeb1BnxAQ0wY1kEAalQQyVONEEEMSJxAZ06Gn+cAKSjkcAA8g1kiAALIlAAEABVEDgQPdBgpQFBelAGOC3gByBg5eJsBivPQAfR0osiSAmIDIUplKjUyJ5fJAaQyWRyhUwbDBmBoXMmuPOGj0S3UTzo9Q0ABEHZFnq8NBCEKCxoJkXqSRsmayOX7Pc7ZrJhYI4d70ABHBhIWQWzBLGikIM20nzRbLWEgDMu1CxwTxkvwjSyNgIbK9HVUkZQOgFIkZWRZC1yQojMbY9AwNikYs9PqzAAMlGsSk5zzQDV6+yGE-6aCnvOGo3GOOm2uHo5WewOcCOhWhozgEGOqP6bQ6FwZ9oh3Kp8nQCGl+2Pxa9CIfOmkRQPUowaN+DC-gwXw-H8gJEreUrkhoADE7gYZ6NboPEwoDN887pJk2S5ESxSFCGdoek6mBliA7pvgmby+v6TZDBkgiVIUMjxMcRTQDsJGRJRBa3CeJbRhoNxFlhibKPWjaBnsAplqAaLbAy6HuPSSioUg+mRKhjjeIZcBmZElRphpPJDGwrbtoUXY9uwn6gAOqhSYWdyROusw6GuvQbqgM4GEMHagKWbwRq8YyYAw8SOtWckpmmGZZjm26vigRK+ZcoDMsU7KcmgOgGJQ7hKK+bwGFOpX8LV9U6JE0neegehVAAXh1LqtPl4bFagOgzpYlUeugNV1Q1U4GM1XkrDhSDZLmYaFdFJU6JQZijW+421W4U3WLNYmEiAYxLb1K1FZGg1lQY23VXtjX1Y4R0yQt516gVV1Wu4lC2PdGgTftOj1WIr2tadi3yBdX1ragjiUI4AO7ZNINTpY4PzZDH19atA1mJQd0gFVgOPVNZiYydZ3Q59-XXUNyMgEDT1Tu4lMaBAErLbDA22IjjPM1Ntjs+9NO499aCWJQOgC2TINDSL2Ni5dcNSzLxNjUzcu6E1SgtVjnPKzz11q7LqO6DNetzSdhvc3TVpiGbwO6IdVvHRzXMw-baAI0jGs7Vr5s6C9btvSAEB1gA7nbeP09LTtPToYOhxDEdsNHXux1aG1bf7D1BxjKcG1HMcS6g1izgnDU6BTRc2yXmdl1OVfy2zdccw3tNZ2gujx3npNB8L7foGnGdd2XBNEy

英文:

I have <a href="https://vega.github.io/editor/#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" title="Chart in vega github editor">this vega-lite chart</a> (based on the seattle-weather data).

It includes a vertical "rule" mark that moves on hover, and has a tooltip attached to it. I find that the rule feels very sluggish in following the mouse, and I think it's because it's trying to determine when the mouse stops moving.

Does anyone have ideas on why this actually happens and anything I can do to mitigate it?

答案1

得分: 1

你现在是我的中文翻译,代码部分不要翻译,只返回翻译好的部分,不要有别的内容,不要回答我要翻译的问题。

以下是要翻译的内容:

You have a lot of datapoints on that x-axis. VL is highlighting each in turn and it takes time for it to catch up. Have a play with the throttle and debounce settings and consider disabling nearest. e.g.

你的 x 轴上有很多数据点。VL 逐个突出显示它们,需要时间才能追赶上。尝试调整节流和去抖动设置,并考虑禁用 nearest。例如。

Editor

编辑器

https://vega.github.io/vega/docs/event-streams/

https://vega.github.io/vega/docs/event-streams/

"params": [
{
"name": "hover",
"select": {
"fields": ["date"],
"on": {"type": "mouseover", "debounce": 0},
"type": "point"
}
}
],

"params": [
{
"name": "hover",
"select": {
"fields": ["date"],
"on": {"type": "mouseover", "debounce": 0},
"type": "point"
}
}
],

英文:

You have a lot of datapoints on that x-axis. VL is highlighting each in turn and it takes time for it to catch up. Have a play with the throttle and debounce settings and consider disabling nearest. e.g.

Editor

https://vega.github.io/vega/docs/event-streams/

 &quot;params&quot;: [
        {
          &quot;name&quot;: &quot;hover&quot;,
          &quot;select&quot;: {
            &quot;fields&quot;: [&quot;date&quot;],
            &quot;on&quot;: {&quot;type&quot;: &quot;mouseover&quot;, &quot;debounce&quot;: 0},
            &quot;type&quot;: &quot;point&quot;
          }
        }
      ],

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  • 本文由 发表于 2023年3月10日 00:35:24
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