43:["$","title",null,{"children":"Select Transform / Observable Plot | 1907040108 | Observable"}] 4b:[{"id":"3ccff97fd2d93da734e76829b2b066eafdaac6a1fafdec0faf6ebc443271cfc109d29e80dd217468fcb2aff1e6bffdc73f356cc48feb657f35378e6abbbb63b9","href":"https://static.observableusercontent.com/files/3ccff97fd2d93da734e76829b2b066eafdaac6a1fafdec0faf6ebc443271cfc109d29e80dd217468fcb2aff1e6bffdc73f356cc48feb657f35378e6abbbb63b9","name":"aapl.csv","type":"text/csv","lastModified":1637117372943.898,"size":92399},{"id":"51ef8c06edd5d139385ad9477c0a42cbf0152f5a4facf30a52d5eaa3ce4debecf1114c4a51199e734274e4411ec8149ffdd0d094cd334095cf8f2a004fc90d44","href":"https://static.observableusercontent.com/files/51ef8c06edd5d139385ad9477c0a42cbf0152f5a4facf30a52d5eaa3ce4debecf1114c4a51199e734274e4411ec8149ffdd0d094cd334095cf8f2a004fc90d44","name":"amzn.csv","type":"text/csv","lastModified":1637117372943.898,"size":94124},{"id":"3ca44f93993f84575ab5461b4097d37b814438266e8cfe8774f70882f49bb289143c190963a158e8dc886989433af1161798ba76f2f4b36d17cc7150cba94477","href":"https://static.observableusercontent.com/files/3ca44f93993f84575ab5461b4097d37b814438266e8cfe8774f70882f49bb289143c190963a158e8dc886989433af1161798ba76f2f4b36d17cc7150cba94477","name":"goog.csv","type":"text/csv","lastModified":1637117372943.898,"size":93857},{"id":"c56b9e232d72bf1df96ca3eeca37e29e811adb72f49d943659a0006c015e74d2c429186d9dca251060784f364eb2a16fd39584695d523588bdcb87e4d9eac650","href":"https://static.observableusercontent.com/files/c56b9e232d72bf1df96ca3eeca37e29e811adb72f49d943659a0006c015e74d2c429186d9dca251060784f364eb2a16fd39584695d523588bdcb87e4d9eac650","name":"ibm.csv","type":"text/csv","lastModified":1637117372943.898,"size":93315}] 47:{"id":"e2ace939b4e9a3b2","slug":"select-transform-observable-plot","title":"Select Transform / Observable Plot","thumbnail":"f769e773816e0e30bfbca8b74f9d8481dd56feed141151e074a7b488f4d65ecb","access_level":"public","create_time":"$D2021-11-17T02:49:32.943Z","update_time":"$D2021-11-17T04:17:59.710Z","view_time":null,"first_public_time":"$D2021-11-17T04:18:36.361Z","has_unpublished_edits":null,"fork":{"id":"388e64af7cdc956c","slug":"plot-select","title":"Select Transform / Observable Plot","owner":{"id":"f35c755083683fe5","login":"observablehq","name":"Observable"}},"stars":0,"starred":false,"owner":{"type":"team","id":"78113d61fa0b7dac","login":"1907040108","name":"","avatar_url":"https://avatars-next.observableusercontent.com/939e6ac8543cf3de57c24d3c996dd9f43e3365ac037e9a35ef3261e055b963ed","tier":"starter_2024","bio":"hello everybody","followed_by_you":false,"follows_you":false},"version":81,"publish_version":81,"role":null,"authored":false,"authors":[{"type":"individual","id":"9092fa51634d9367","login":"1907040108","name":"","avatar_url":"https://avatars-next.observableusercontent.com/939e6ac8543cf3de57c24d3c996dd9f43e3365ac037e9a35ef3261e055b963ed","tier":null,"bio":"hello everybody","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"9092fa51634d9367","login":"1907040108","name":"","avatar_url":"https://avatars-next.observableusercontent.com/939e6ac8543cf3de57c24d3c996dd9f43e3365ac037e9a35ef3261e055b963ed","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Select Transform / Observable Plot","cells":[{"id":0,"value":"md`

Select Transform / Observable Plot

Observable Plot › Transforms › Select · API

\n\n# Plot: Select\n\n选择变换过滤器标记。它类似于基本的 [过滤器变换](/@observablehq/plot-transforms)，不同之处在于它为从每个系列中提取单个值提供了方便的速记。数据使用 *z*、*fill* 或 *stroke* 通道以与 [area](/@observablehq/plot-area) and [line](/@observablehq/plot-line) 标记`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"stocks = (await Promise.all([FileAttachment(\"aapl.csv\"), FileAttachment(\"amzn.csv\"), FileAttachment(\"goog.csv\"), FileAttachment(\"ibm.csv\")]\n .map(async file => [file.name.slice(0, -4).toUpperCase(), await file.csv({typed: \"true\"})])))\n .flatMap(([Symbol, data]) => data.map(d => ({Symbol, ...d})))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"Plot.plot({\n marginRight: 40,\n y: {\n grid: true,\n label: \"↑ Price ($)\"\n },\n marks: [\n Plot.line(stocks, {x: \"Date\", y: \"Close\", stroke: \"Symbol\"}),\n Plot.text(stocks, Plot.selectLast({x: \"Date\", y: \"Close\", z: \"Symbol\", text: \"Symbol\", textAnchor: \"start\", dx: 3}))\n ]\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":56,"value":"md`Next \nAPI Reference`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W4b","stdlib":"1"}} 42:null