【Flutter】graphic图表实现自定义tooltip
renderer
graphic中tooltip的TooltipGuide类提供了renderer方法，接收三个参数Size类型，Offset类型，Map<int, Tuple>类型。可查到的文档是真的少，所以只能在源码中扒拉例子，做符合需求的修改。
官方github示例
官方示例
这个例子感觉像是tooltip和提供的那些属性的源码实现，然后改变了背景颜色等，但如果实现想echarts那样对每条线的数据前增加颜色块区分，还是要自己摸索。先看一下这个例子都做了什么吧
List<MarkElement> simpleTooltip(Size size,Offset anchor,Map<int, Tuple> selectedTuples,) {// 返回的元素列表List<MarkElement> elements;// 生成tooltip内容String textContent = '';// 选中的数据 ({date: xxx, name: 线条1, points: xxx}, {date: xx, name: 线条2, points: xx}...)final selectedTupleList = selectedTuples.values;// 选中的数据的字段名列表// 单条线：[date, points]// 多条线：会通过name区分不同线的数值[date, name, points]final fields = selectedTupleList.first.keys.toList();// 如果只有一条线if (selectedTuples.length == 1) {// 取出选中的数据final original = selectedTupleList.single;// 取出第一个字段的值var field = fields.first;// 将第一个字段的值放入到tooltip的第一行/*** 此时的数据结构是：* date: 2023-11-24*/textContent += '$field: ${original[field]}';// 遍历字段名列表for (var i = 1; i < fields.length; i++) {// 取出第i个字段field = fields[i];// 将第i个字段的值放入到tooltip的第二行/*** 遍历后的数据结构是：* date: 2023-11-24* points: 123*/textContent += '\n$field: ${original[field]}';}} else {// 如果有多条线// 遍历选中的数据（几条线几条数据），将每个数据的第二个字段和第三个字段的值放入到tooltip的第二行和第三行for (var original in selectedTupleList) {// 取出第一个字段final domainField = fields.first;// 取出最后一个字段final measureField = fields.last;/*** 遍历结束后的数据结构是：* 2023-11-24：线条1* 2023-11-24：线条2* ....*/textContent += '\n${original[domainField]}: ${original[measureField]}';}}// 提出一些变量const textStyle = TextStyle(fontSize: 12, color: Colors.white);const padding = EdgeInsets.all(5);const align = Alignment.topRight;const offset = Offset(5, -5);const elevation = 1.0;const backgroundColor = Colors.black;final painter = TextPainter(text: TextSpan(text: textContent, style: textStyle),textDirection: TextDirection.ltr,);painter.layout();// 计算tooltip的宽高final width = padding.left + painter.width + padding.right;final height = padding.top + painter.height + padding.bottom;// 调整tooltip弹框（包含内容）的位置final paintPoint = getBlockPaintPoint(anchor + offset,width,height,align,);// 调整tooltip弹框（不包含内容）的位置final window = Rect.fromLTWH(paintPoint.dx,paintPoint.dy,width,height,);// 计算tooltip文本的位置var textPaintPoint = paintPoint + padding.topLeft;elements = <MarkElement>[RectElement(rect: window,style: PaintStyle(fillColor: backgroundColor, elevation: elevation)),LabelElement(text: textContent,anchor: textPaintPoint,style:LabelStyle(textStyle: textStyle, align: Alignment.bottomRight)),];return elements;}
效果
根据需求调整
改动后代码
List<MarkElement> simpleTooltip(Size size,Offset anchor,Map<int, Tuple> selectedTuples,) {// 返回的元素列表List<MarkElement> elements;// 标识元素列表List<MarkElement> tagElements = [];// 生成tooltip内容String textContent = '';// 选中的数据 ({date: xxx, name: 线条1, points: xxx}, {date: xx, name: 线条2, points: xx}...)final selectedTupleList = selectedTuples.values;// 选中的数据的字段名列表 [date, name, points]final fields = selectedTupleList.first.keys.toList();// 选中的数据的第一个数据的第一个字段的值，放入到tooltip的第一行/*** 目前的数据结构是：* 2023-11-24*/textContent = '${selectedTupleList.first[fields.first]}';// 遍历选中的数据（几条线几条数据），将每个数据的第二个字段和第三个字段的值放入到tooltip的第二行和第三行for (var original in selectedTupleList) {final domainField = fields[1];final measureField = fields.last;/*** 遍历结束后的数据结构是：* 2023-11-24* 线条1: 123* 线条2: 456* ....*/textContent += '\n ${original[domainField]}: ${original[measureField]}';}// 提出一些变量const textStyle = TextStyle(fontSize: 12, color: Colors.black, height: 2);const padding = EdgeInsets.all(5);const align = Alignment.topRight;const offset = Offset(5, -5);const elevation = 1.0;const backgroundColor = Colors.white;final painter = TextPainter(text: TextSpan(text: textContent, style: textStyle),textDirection: ui.TextDirection.ltr,);painter.layout();// tooltip的宽高final width = padding.left + painter.width + padding.right;final height = padding.top + painter.height + padding.bottom;// tooltip的位置// 大概根据中间的数据判断算了下位置,避免一直在左或右,边界超出屏幕final move = anchor < const Offset(250, 90)? anchor + offset - const Offset(-10, -40): anchor + Offset(-width - 20, 40);final paintPoint = getBlockPaintPoint(move,width,height,align,);final window = Rect.fromLTWH(paintPoint.dx - 10, //横向位置paintPoint.dy,width + 20,height,);var textPaintPoint = paintPoint + padding.topLeft;// 生成tooltip线条前的标识元素for (int i = 0; i < selectedTupleList.length; i++) {tagElements.add(LabelElement(text: '●',anchor: textPaintPoint + padding.topLeft + Offset(-15, 26 + i * 23),style: LabelStyle(textStyle: TextStyle(color: Defaults.colors10[i],fontWeight: FontWeight.w900,fontSize: 12),align: Alignment.bottomRight)),);}elements = <MarkElement>[RectElement(rect: window,style: PaintStyle(fillColor: backgroundColor, elevation: elevation)),...tagElements,LabelElement(text: textContent,anchor: textPaintPoint,style:LabelStyle(textStyle: textStyle, align: Alignment.bottomRight)),];return elements;}
效果
整体代码
// linePage.dart
import 'package:flutter/gestures.dart';
import 'package:flutter/material.dart';
import 'package:graphic/graphic.dart';
import 'dart:ui' as ui;
import './components/static/data.dart';class linePage extends StatelessWidget {linePage({super.key});final GlobalKey<ScaffoldState> _scaffoldKey = GlobalKey<ScaffoldState>();List<MarkElement> simpleTooltip(Size size,Offset anchor,Map<int, Tuple> selectedTuples,) {// 返回的元素列表List<MarkElement> elements;// 标识元素列表List<MarkElement> tagElements = [];// 生成tooltip内容String textContent = '';// 选中的数据 ({date: xxx, name: 线条1, points: xxx}, {date: xx, name: 线条2, points: xx}...)final selectedTupleList = selectedTuples.values;// 选中的数据的字段名列表 [date, name, points]final fields = selectedTupleList.first.keys.toList();// 选中的数据的第一个数据的第一个字段的值，放入到tooltip的第一行/*** 目前的数据结构是：* 2023-11-24*/textContent = '${selectedTupleList.first[fields.first]}';// 遍历选中的数据（几条线几条数据），将每个数据的第二个字段和第三个字段的值放入到tooltip的第二行和第三行for (var original in selectedTupleList) {final domainField = fields[1];final measureField = fields.last;/*** 遍历结束后的数据结构是：* 2023-11-24* 线条1: 123* 线条2: 456* ....*/textContent += '\n ${original[domainField]}: ${original[measureField]}';}// 提出一些变量const textStyle = TextStyle(fontSize: 12, color: Colors.black, height: 2);const padding = EdgeInsets.all(5);const align = Alignment.topRight;const offset = Offset(5, -5);const elevation = 1.0;const backgroundColor = Colors.white;final painter = TextPainter(text: TextSpan(text: textContent, style: textStyle),textDirection: ui.TextDirection.ltr,);painter.layout();// tooltip的宽高final width = padding.left + painter.width + padding.right;final height = padding.top + painter.height + padding.bottom;// tooltip的位置// 大概根据中间的数据判断算了下位置,避免一直在左或右,边界超出屏幕final move = anchor < const Offset(250, 90)? anchor + offset - const Offset(-10, -40): anchor + Offset(-width - 20, 40);final paintPoint = getBlockPaintPoint(move,width,height,align,);final window = Rect.fromLTWH(paintPoint.dx - 10, //横向位置paintPoint.dy,width + 20,height,);var textPaintPoint = paintPoint + padding.topLeft;// 生成tooltip线条前的标识元素for (int i = 0; i < selectedTupleList.length; i++) {tagElements.add(LabelElement(text: '●',anchor: textPaintPoint + padding.topLeft + Offset(-15, 26 + i * 23),style: LabelStyle(textStyle: TextStyle(color: Defaults.colors10[i],fontWeight: FontWeight.w900,fontSize: 12),align: Alignment.bottomRight)),);}elements = <MarkElement>[RectElement(rect: window,style: PaintStyle(fillColor: backgroundColor, elevation: elevation)),...tagElements,LabelElement(text: textContent,anchor: textPaintPoint,style:LabelStyle(textStyle: textStyle, align: Alignment.bottomRight)),];return elements;}@overrideWidget build(BuildContext context) {return SingleChildScrollView(child: Center(child: Column(children: <Widget>[Container(padding: const EdgeInsets.fromLTRB(20, 40, 20, 5),child: const Text('Smooth Line and Area chart',style: TextStyle(fontSize: 20),),),Container(margin: const EdgeInsets.only(top: 10),width: 350,height: 300,child: Chart(// 数据源data: invalidData,// 变量配置variables: {'date': Variable(accessor: (Map map) => map['date'] as String,scale: OrdinalScale(tickCount: 5, // x轴刻度数量),),'name': Variable(accessor: (Map map) => map['name'] as String,),'points': Variable(accessor: (Map map) => (map['points'] ?? double.nan) as num,),},marks: [// 线条LineMark(// 如果单线条加name则必须有position属性配置，否则是一条直线position:Varset('date') * Varset('points') / Varset('name'),shape: ShapeEncode(value: BasicLineShape(smooth: true),),// 粗细size: SizeEncode(value: 1.5),),// 线条与X轴之间区域填充AreaMark(// 如果单线条加name则必须有position属性配置，否则不显示position:Varset('date') * Varset('points') / Varset('name'),shape: ShapeEncode(value:BasicAreaShape(smooth: true), // smooth: true 使线条变得平滑),color: ColorEncode(value: Colors.pink.withAlpha(80),),),],// 坐标轴配置axes: [Defaults.horizontalAxis,Defaults.verticalAxis,],selections: {'touchMove': PointSelection(on: {GestureType.scaleUpdate,GestureType.tapDown,GestureType.hover,GestureType.longPressMoveUpdate},dim: Dim.x,)},// 触摸弹框提示tooltip: TooltipGuide(// 跟随鼠标位置// followPointer: [false, true],// align: Alignment.topLeft, // 弹框对于点击位置的对齐方式// offset: const Offset(-20, -20), // 偏移量// 使用自定义需要注释上面的一些配置renderer: simpleTooltip,),// 十字准线crosshair: CrosshairGuide(followPointer: [false, true]),),),Container(padding: const EdgeInsets.fromLTRB(20, 40, 20, 5),child: const Text('Group interactions',style: TextStyle(fontSize: 20),),),Container(margin: const EdgeInsets.only(top: 10),width: 350,height: 300,child: Chart(data: invalidData1,variables: {'date': Variable(accessor: (Map map) => map['date'] as String,scale: OrdinalScale(tickCount: 5, inflate: true),),'name': Variable(accessor: (Map map) => map['name'] as String,),'points': Variable(accessor: (Map map) => (map['points'] ?? double.nan) as num,),},coord: RectCoord(horizontalRange: [0.1, 0.99]),marks: [LineMark(position:Varset('date') * Varset('points') / Varset('name'),shape: ShapeEncode(value: BasicLineShape(smooth: true)),size: SizeEncode(value: 1.5),color: ColorEncode(variable: 'name',values: Defaults.colors10,// updaters: {// 'groupMouse': {false: (color) => color.withAlpha(100)},// // 'groupTouch': {false: (color) => color.withAlpha(100)},// },),),// PointMark(// color: ColorEncode(// variable: 'name',// values: Defaults.colors10,// updaters: {// 'groupMouse': {false: (color) => color.withAlpha(100)},// 'groupTouch': {false: (color) => color.withAlpha(100)},// },// ),// ),],axes: [Defaults.horizontalAxis,Defaults.verticalAxis,],// // 提示框选项配置selections: {'666': PointSelection(on: {GestureType.hover, GestureType.tap},// 设备devices: {PointerDeviceKind.mouse},variable: 'date',),'groupMouse': PointSelection(on: {GestureType.hover,},// variable: 'name',devices: {PointerDeviceKind.mouse},),'tooltipTouch': PointSelection(on: {GestureType.scaleUpdate,GestureType.tapDown,GestureType.longPressMoveUpdate},// variable: 'name',devices: {PointerDeviceKind.touch},),},tooltip: TooltipGuide(selections: {'tooltipTouch', '666'},// multiTuples: true,// followPointer: [false, true],// align: Alignment.topLeft,// // mark: 0,// // 与上方selections中定义的variable相排斥// variables: [// // 'date',// 'name',// 'points',// ],renderer: simpleTooltip),crosshair: CrosshairGuide(selections: {'tooltipTouch', '666'},styles: [PaintStyle(strokeColor: const Color.fromARGB(255, 92, 68, 68)),PaintStyle(strokeColor: const Color.fromARGB(0, 158, 154, 154)),],followPointer: [false, true],),),),],),),);}
}
// data.dart
const invalidData1 = [{"date": "2016-01-04", "name": "线条1", "points": 126.12},{"date": "2016-01-05", "name": "线条1", "points": 125.688},{"date": "2016-01-06", "name": "线条1", "points": 119.704},{"date": "2016-01-07", "name": "线条1", "points": 120.19},{"date": "2016-01-08", "name": "线条1", "points": 121.157},{"date": "2016-01-11", "name": "线条1", "points": 117},{"date": "2016-01-12", "name": "线条1", "points": 120},{"date": "2016-01-13", "name": "线条1", "points": 122},{"date": "2016-01-14", "name": "线条1", "points": 117.76},{"date": "2016-01-15", "name": "线条1", "points": 114.397},{"date": "2016-01-18", "name": "线条1", "points": 116.373},{"date": "2016-01-19", "name": "线条1", "points": 120.547},{"date": "2016-01-20", "name": "线条1", "points": 113.733},{"date": "2016-01-21", "name": "线条1", "points": 114.098},{"date": "2016-01-22", "name": "线条1", "points": 123.833},{"date": "2016-01-25", "name": "线条1", "points": 125},{"date": "2016-01-26", "name": "线条1", "points": 124.866},{"date": "2016-01-27", "name": "线条1", "points": 120.264},{"date": "2016-01-28", "name": "线条1", "points": 122.296},{"date": "2016-01-29", "name": "线条1", "points": 124.502},{"date": "2016-02-01", "name": "线条1", "points": 127.936},{"date": "2016-02-02", "name": "线条1", "points": null},{"date": "2016-02-03", "name": "线条1", "points": 129.95},{"date": "2016-02-04", "name": "线条1", "points": 129.275},{"date": "2016-02-05", "name": "线条1", "points": 127.898},{"date": "2016-02-08", "name": "线条1", "points": 134.9},{"date": "2016-02-09", "name": "线条1", "points": 122.819},{"date": "2016-02-10", "name": "线条1", "points": 120.108},{"date": "2016-02-11", "name": "线条1", "points": 119.447},{"date": "2016-02-12", "name": "线条1", "points": 117.8},{"date": "2016-02-15", "name": "线条1", "points": null},{"date": "2016-02-16", "name": "线条1", "points": 121.865},{"date": "2016-02-17", "name": "线条1", "points": 126.3},{"date": "2016-02-18", "name": "线条1", "points": 128.259},{"date": "2016-02-19", "name": "线条1", "points": 125.724},{"date": "2016-02-22", "name": "线条1", "points": 130},{"date": "2016-02-23", "name": "线条1", "points": 129.948},{"date": "2016-02-24", "name": "线条1", "points": 132.5},{"date": "2016-02-25", "name": "线条1", "points": 128.08},{"date": "2016-02-26", "name": "线条1", "points": 122},{"date": "2016-02-29", "name": "线条1", "points": 122},{"date": "2016-03-01", "name": "线条1", "points": 123.449},{"date": "2016-03-02", "name": "线条1", "points": double.nan},{"date": "2016-03-03", "name": "线条1", "points": 132},{"date": "2016-03-04", "name": "线条1", "points": 135},{"date": "2016-03-07", "name": "线条1", "points": 123.905},{"date": "2016-03-08", "name": "线条1", "points": 125.155},{"date": "2016-03-09", "name": "线条1", "points": 126},{"date": "2016-03-10", "name": "线条1", "points": 126.778},{"date": "2016-03-11", "name": "线条1", "points": 129.656},{"date": "2016-03-14", "name": "线条1", "points": 127.64},{"date": "2016-03-15", "name": "线条1", "points": 124.786},{"date": "2016-03-16", "name": "线条1", "points": 124.469},{"date": "2016-03-17", "name": "线条1", "points": 123.5},{"date": "2016-03-18", "name": "线条1", "points": 124.061},{"date": "2016-03-21", "name": "线条1", "points": 123.5},{"date": "2016-03-22", "name": "线条1", "points": 129.002},{"date": "2016-03-23", "name": "线条1", "points": 129},{"date": "2016-03-24", "name": "线条1", "points": 131.31},{"date": "2016-03-29", "name": "线条1", "points": 133},{"date": "2016-03-30", "name": "线条1", "points": 129.298},{"date": "2016-03-31", "name": "线条1", "points": 127.4},{"date": "2016-04-01", "name": "线条1", "points": 122.376},{"date": "2016-04-04", "name": "线条1", "points": 119.467},{"date": "2016-04-05", "name": "线条1", "points": 120.695},{"date": "2016-04-06", "name": "线条1", "points": 118.725},{"date": "2016-04-07", "name": "线条1", "points": 127.539},{"date": "2016-04-08", "name": "线条1", "points": 129.8},{"date": "2016-04-11", "name": "线条1", "points": 129.5},{"date": "2016-04-12", "name": "线条1", "points": 134.465},{"date": "2016-04-13", "name": "线条1", "points": 133},{"date": "2016-04-14", "name": "线条1", "points": 137.35},{"date": "2016-04-15", "name": "线条1", "points": 137.2},{"date": "2016-04-18", "name": "线条1", "points": 132.611},{"date": "2016-04-19", "name": "线条1", "points": 135.479},{"date": "2016-04-20", "name": "线条1", "points": 139.05},{"date": "2016-04-21", "name": "线条1", "points": 142},{"date": "2016-04-22", "name": "线条1", "points": 135.761},{"date": "2016-04-25", "name": "线条1", "points": 136.174},{"date": "2016-04-26", "name": "线条1", "points": 134.782},{"date": "2016-04-27", "name": "线条1", "points": 128},{"date": "2016-04-28", "name": "线条1", "points": 121.5},{"date": "2016-04-29", "name": "线条1", "points": 120},{"date": "2016-05-02", "name": "线条1", "points": 123.966},{"date": "2016-05-03", "name": "线条1", "points": 122.538},{"date": "2016-05-04", "name": "线条1", "points": 120},{"date": "2016-05-05", "name": "线条1", "points": 120.21},{"date": "2016-05-06", "name": "线条1", "points": 121.01},{"date": "2016-05-09", "name": "线条1", "points": double.nan},{"date": "2016-05-10", "name": "线条1", "points": 120.622},{"date": "2016-05-11", "name": "线条1", "points": 123.85},{"date": "2016-05-12", "name": "线条1", "points": 122.963},{"date": "2016-05-13", "name": "线条1", "points": 126},{"date": "2016-05-17", "name": "线条1", "points": 130},{"date": "2016-05-18", "name": "线条1", "points": 128.845},{"date": "2016-05-19", "name": "线条1", "points": 130.17},{"date": "2016-05-20", "name": "线条1", "points": 129.741},{"date": "2016-05-23", "name": "线条1", "points": 129.668},{"date": "2016-05-24", "name": "线条1", "points": 126.886},{"date": "2016-05-25", "name": "线条1", "points": 128.239},{"date": "2016-05-26", "name": "线条1", "points": 127.239},{"date": "2016-05-27", "name": "线条1", "points": 127.457},{"date": "2016-05-30", "name": "线条1", "points": 127.37},{"date": "2016-05-31", "name": "线条1", "points": 130.756},{"date": "2016-06-01", "name": "线条1", "points": 133.232},{"date": "2016-06-02", "name": "线条1", "points": 126.47},{"date": "2016-06-03", "name": "线条1", "points": 126.385},{"date": "2016-06-06", "name": "线条1", "points": 128.331},{"date": "2016-06-07", "name": "线条1", "points": 130.914},{"date": "2016-06-08", "name": "线条1", "points": 133},{"date": "2016-06-09", "name": "线条1", "points": 133.041},{"date": "2016-06-10", "name": "线条1", "points": 133.041},{"date": "2016-06-13", "name": "线条1", "points": 129},{"date": "2016-06-14", "name": "线条1", "points": 129.166},{"date": "2016-06-15", "name": "线条1", "points": 124.687},{"date": "2016-06-16", "name": "线条1", "points": 122.77},{"date": "2016-06-17", "name": "线条1", "points": 126.461},{"date": "2016-06-20", "name": "线条1", "points": 127},{"date": "2016-06-21", "name": "线条1", "points": 125.594},{"date": "2016-06-22", "name": "线条1", "points": 127.438},{"date": "2016-06-23", "name": "线条1", "points": 124.44},{"date": "2016-06-24", "name": "线条1", "points": 122.131},{"date": "2016-06-27", "name": "线条1", "points": 120.53},{"date": "2016-06-28", "name": "线条1", "points": 120.296},{"date": "2016-06-29", "name": "线条1", "points": 125.877},{"date": "2016-06-30", "name": "线条1", "points": 126.404},{"date": "2016-01-04", "name": "线条2", "points": 130.914},{"date": "2016-01-05", "name": "线条2", "points": 133},{"date": "2016-01-06", "name": "线条2", "points": 159.704},{"date": "2016-01-07", "name": "线条2", "points": 133.19},{"date": "2016-01-08", "name": "线条2", "points": 202.157},{"date": "2016-01-11", "name": "线条2", "points": 128},{"date": "2016-01-12", "name": "线条2", "points": 138},{"date": "2016-01-13", "name": "线条2", "points": 152},{"date": "2016-01-14", "name": "线条2", "points": 157.76},{"date": "2016-01-15", "name": "线条2", "points": 134.397},{"date": "2016-01-18", "name": "线条2", "points": 170.373},{"date": "2016-01-19", "name": "线条2", "points": 140.547},{"date": "2016-01-20", "name": "线条2", "points": 133.733},{"date": "2016-01-21", "name": "线条2", "points": 124.098},{"date": "2016-01-22", "name": "线条2", "points": 113.833},{"date": "2016-01-25", "name": "线条2", "points": 125},{"date": "2016-01-26", "name": "线条2", "points": 154.866},{"date": "2016-01-27", "name": "线条2", "points": 130.264},{"date": "2016-01-28", "name": "线条2", "points": 142.296},{"date": "2016-01-29", "name": "线条2", "points": 114.502},{"date": "2016-02-01", "name": "线条2", "points": 137.936},{"date": "2016-02-02", "name": "线条2", "points": null},{"date": "2016-02-03", "name": "线条2", "points": 169.95},{"date": "2016-02-04", "name": "线条2", "points": 119.275},{"date": "2016-02-05", "name": "线条2", "points": 127.898},{"date": "2016-02-08", "name": "线条2", "points": 134.9},{"date": "2016-02-09", "name": "线条2", "points": 152.819},{"date": "2016-02-10", "name": "线条2", "points": 100.108},{"date": "2016-02-11", "name": "线条2", "points": 109.447},{"date": "2016-02-12", "name": "线条2", "points": 127.8},{"date": "2016-02-15", "name": "线条2", "points": null},{"date": "2016-02-22", "name": "线条2", "points": 120},{"date": "2016-02-23", "name": "线条2", "points": 149.948},{"date": "2016-02-24", "name": "线条2", "points": 102.5},{"date": "2016-03-03", "name": "线条2", "points": 142},{"date": "2016-03-04", "name": "线条2", "points": 165},{"date": "2016-03-07", "name": "线条2", "points": 173.905},{"date": "2016-03-08", "name": "线条2", "points": 128.155},{"date": "2016-02-25", "name": "线条2", "points": 118.08},{"date": "2016-04-04", "name": "线条2", "points": 149.467},{"date": "2016-04-05", "name": "线条2", "points": 130.695},{"date": "2016-04-06", "name": "线条2", "points": 128.725},{"date": "2016-04-07", "name": "线条2", "points": 137.539},{"date": "2016-04-08", "name": "线条2", "points": 135.8},{"date": "2016-04-11", "name": "线条2", "points": 138.5},{"date": "2016-04-12", "name": "线条2", "points": 124.465},{"date": "2016-04-13", "name": "线条2", "points": 143},{"date": "2016-04-14", "name": "线条2", "points": 134.35},{"date": "2016-04-15", "name": "线条2", "points": 127.2},{"date": "2016-04-18", "name": "线条2", "points": 112.611},{"date": "2016-04-19", "name": "线条2", "points": 135.479},{"date": "2016-02-26", "name": "线条2", "points": 142},{"date": "2016-02-29", "name": "线条2", "points": 132},{"date": "2016-03-01", "name": "线条2", "points": 113.449},{"date": "2016-03-02", "name": "线条2", "points": double.nan},{"date": "2016-02-16", "name": "线条2", "points": 131.865},{"date": "2016-02-17", "name": "线条2", "points": 156.3},{"date": "2016-02-18", "name": "线条2", "points": 148.259},{"date": "2016-02-19", "name": "线条2", "points": 135.724},{"date": "2016-03-09", "name": "线条2", "points": 116},{"date": "2016-03-10", "name": "线条2", "points": 176.778},{"date": "2016-03-11", "name": "线条2", "points": 139.656},{"date": "2016-03-14", "name": "线条2", "points": 157.64},{"date": "2016-03-15", "name": "线条2", "points": double.nan},{"date": "2016-03-16", "name": "线条2", "points": 144.469},{"date": "2016-03-17", "name": "线条2", "points": 133.5},{"date": "2016-03-18", "name": "线条2", "points": 184.061},{"date": "2016-03-21", "name": "线条2", "points": 163.5},{"date": "2016-03-22", "name": "线条2", "points": 159.002},{"date": "2016-03-23", "name": "线条2", "points": 149},{"date": "2016-03-24", "name": "线条2", "points": 111.31},{"date": "2016-03-29", "name": "线条2", "points": 123},{"date": "2016-03-30", "name": "线条2", "points": 139.298},{"date": "2016-03-31", "name": "线条2", "points": 147.4},{"date": "2016-04-01", "name": "线条2", "points": 132.376},{"date": "2016-04-20", "name": "线条2", "points": 149.05},{"date": "2016-04-21", "name": "线条2", "points": 162},{"date": "2016-04-22", "name": "线条2", "points": 155.761},{"date": "2016-04-25", "name": "线条2", "points": 126.174},{"date": "2016-04-26", "name": "线条2", "points": 134.782},{"date": "2016-04-27", "name": "线条2", "points": 118},{"date": "2016-04-28", "name": "线条2", "points": 141.5},{"date": "2016-05-31", "name": "线条2", "points": 130.756},{"date": "2016-06-01", "name": "线条2", "points": 143.232},{"date": "2016-06-02", "name": "线条2", "points": 176.47},{"date": "2016-06-03", "name": "线条2", "points": 156.385},{"date": "2016-06-06", "name": "线条2", "points": 168.331},{"date": "2016-06-07", "name": "线条2", "points": 130.914},{"date": "2016-06-08", "name": "线条2", "points": 123},{"date": "2016-06-09", "name": "线条2", "points": 133.041},{"date": "2016-06-10", "name": "线条2", "points": 133.041},{"date": "2016-06-13", "name": "线条2", "points": 129},{"date": "2016-06-14", "name": "线条2", "points": null},{"date": "2016-06-15", "name": "线条2", "points": 114.687},{"date": "2016-06-16", "name": "线条2", "points": 122.77},{"date": "2016-06-17", "name": "线条2", "points": 146.461},{"date": "2016-06-20", "name": "线条2", "points": 127},{"date": "2016-06-21", "name": "线条2", "points": 155.594},{"date": "2016-06-22", "name": "线条2", "points": 127.438},{"date": "2016-06-23", "name": "线条2", "points": 134.44},{"date": "2016-06-24", "name": "线条2", "points": 112.131},{"date": "2016-06-27", "name": "线条2", "points": 100.53},{"date": "2016-06-28", "name": "线条2", "points": 150.296},{"date": "2016-06-29", "name": "线条2", "points": 135.877},{"date": "2016-06-30", "name": "线条2", "points": 126.404},{"date": "2016-04-29", "name": "线条2", "points": 130},{"date": "2016-05-02", "name": "线条2", "points": 123.966},{"date": "2016-05-03", "name": "线条2", "points": 122.538},{"date": "2016-05-04", "name": "线条2", "points": 130},{"date": "2016-05-05", "name": "线条2", "points": 120.21},{"date": "2016-05-06", "name": "线条2", "points": 131.01},{"date": "2016-05-09", "name": "线条2", "points": double.nan},{"date": "2016-05-10", "name": "线条2", "points": 120.622},{"date": "2016-05-11", "name": "线条2", "points": 153.85},{"date": "2016-05-12", "name": "线条2", "points": 162.963},{"date": "2016-05-13", "name": "线条2", "points": 146},{"date": "2016-05-17", "name": "线条2", "points": 130},{"date": "2016-05-18", "name": "线条2", "points": 138.845},{"date": "2016-05-19", "name": "线条2", "points": 120.17},{"date": "2016-05-20", "name": "线条2", "points": 149.741},{"date": "2016-05-23", "name": "线条2", "points": 119.668},{"date": "2016-05-24", "name": "线条2", "points": 136.886},{"date": "2016-05-25", "name": "线条2", "points": 108.239},{"date": "2016-05-26", "name": "线条2", "points": 147.239},{"date": "2016-05-27", "name": "线条2", "points": 127.457},{"date": "2016-05-30", "name": "线条2", "points": 137.37},
];const invalidData = [{"date": "2016-01-04", "name": "线条1", "points": 126.12},{"date": "2016-01-05", "name": "线条1", "points": 125.688},{"date": "2016-01-06", "name": "线条1", "points": 119.704},{"date": "2016-01-07", "name": "线条1", "points": 120.19},{"date": "2016-01-08", "name": "线条1", "points": 121.157},{"date": "2016-01-11", "name": "线条1", "points": 117},{"date": "2016-01-12", "name": "线条1", "points": 120},{"date": "2016-01-13", "name": "线条1", "points": 122},{"date": "2016-01-14", "name": "线条1", "points": 117.76},{"date": "2016-01-15", "name": "线条1", "points": 114.397},{"date": "2016-01-18", "name": "线条1", "points": 116.373},{"date": "2016-01-19", "name": "线条1", "points": 120.547},{"date": "2016-01-20", "name": "线条1", "points": 113.733},{"date": "2016-01-21", "name": "线条1", "points": 114.098},{"date": "2016-01-22", "name": "线条1", "points": 123.833},{"date": "2016-01-25", "name": "线条1", "points": 125},{"date": "2016-01-26", "name": "线条1", "points": 124.866},{"date": "2016-01-27", "name": "线条1", "points": 120.264},{"date": "2016-01-28", "name": "线条1", "points": 122.296},{"date": "2016-01-29", "name": "线条1", "points": 124.502},{"date": "2016-02-01", "name": "线条1", "points": 127.936},{"date": "2016-02-02", "name": "线条1", "points": null},{"date": "2016-02-03", "name": "线条1", "points": 129.95},{"date": "2016-02-04", "name": "线条1", "points": 129.275},{"date": "2016-02-05", "name": "线条1", "points": 127.898},{"date": "2016-02-08", "name": "线条1", "points": 134.9},{"date": "2016-02-09", "name": "线条1", "points": 122.819},{"date": "2016-02-10", "name": "线条1", "points": 120.108},{"date": "2016-02-11", "name": "线条1", "points": 119.447},{"date": "2016-02-12", "name": "线条1", "points": 117.8},{"date": "2016-02-15", "name": "线条1", "points": null},{"date": "2016-02-16", "name": "线条1", "points": 121.865},{"date": "2016-02-17", "name": "线条1", "points": 126.3},{"date": "2016-02-18", "name": "线条1", "points": 128.259},{"date": "2016-02-19", "name": "线条1", "points": 125.724},{"date": "2016-02-22", "name": "线条1", "points": 130},{"date": "2016-02-23", "name": "线条1", "points": 129.948},{"date": "2016-02-24", "name": "线条1", "points": 132.5},{"date": "2016-02-25", "name": "线条1", "points": 128.08},{"date": "2016-02-26", "name": "线条1", "points": 122},{"date": "2016-02-29", "name": "线条1", "points": 122},{"date": "2016-03-01", "name": "线条1", "points": 123.449},{"date": "2016-03-02", "name": "线条1", "points": double.nan},{"date": "2016-03-03", "name": "线条1", "points": 132},{"date": "2016-03-04", "name": "线条1", "points": 135},{"date": "2016-03-07", "name": "线条1", "points": 123.905},{"date": "2016-03-08", "name": "线条1", "points": 125.155},{"date": "2016-03-09", "name": "线条1", "points": 126},{"date": "2016-03-10", "name": "线条1", "points": 126.778},{"date": "2016-03-11", "name": "线条1", "points": 129.656},{"date": "2016-03-14", "name": "线条1", "points": 127.64},{"date": "2016-03-15", "name": "线条1", "points": 124.786},{"date": "2016-03-16", "name": "线条1", "points": 124.469},{"date": "2016-03-17", "name": "线条1", "points": 123.5},{"date": "2016-03-18", "name": "线条1", "points": 124.061},{"date": "2016-03-21", "name": "线条1", "points": 123.5},{"date": "2016-03-22", "name": "线条1", "points": 129.002},{"date": "2016-03-23", "name": "线条1", "points": 129},{"date": "2016-03-24", "name": "线条1", "points": 131.31},{"date": "2016-03-29", "name": "线条1", "points": 133},{"date": "2016-03-30", "name": "线条1", "points": 129.298},{"date": "2016-03-31", "name": "线条1", "points": 127.4},{"date": "2016-04-01", "name": "线条1", "points": 122.376},{"date": "2016-04-04", "name": "线条1", "points": 119.467},{"date": "2016-04-05", "name": "线条1", "points": 120.695},{"date": "2016-04-06", "name": "线条1", "points": 118.725},{"date": "2016-04-07", "name": "线条1", "points": 127.539},{"date": "2016-04-08", "name": "线条1", "points": 129.8},{"date": "2016-04-11", "name": "线条1", "points": 129.5},{"date": "2016-04-12", "name": "线条1", "points": 134.465},{"date": "2016-04-13", "name": "线条1", "points": 133},{"date": "2016-04-14", "name": "线条1", "points": 137.35},{"date": "2016-04-15", "name": "线条1", "points": 137.2},{"date": "2016-04-18", "name": "线条1", "points": 132.611},{"date": "2016-04-19", "name": "线条1", "points": 135.479},{"date": "2016-04-20", "name": "线条1", "points": 139.05},{"date": "2016-04-21", "name": "线条1", "points": 142},{"date": "2016-04-22", "name": "线条1", "points": 135.761},{"date": "2016-04-25", "name": "线条1", "points": 136.174},{"date": "2016-04-26", "name": "线条1", "points": 134.782},{"date": "2016-04-27", "name": "线条1", "points": 128},{"date": "2016-04-28", "name": "线条1", "points": 121.5},{"date": "2016-04-29", "name": "线条1", "points": 120},{"date": "2016-05-02", "name": "线条1", "points": 123.966},{"date": "2016-05-03", "name": "线条1", "points": 122.538},{"date": "2016-05-04", "name": "线条1", "points": 120},{"date": "2016-05-05", "name": "线条1", "points": 120.21},{"date": "2016-05-06", "name": "线条1", "points": 121.01},{"date": "2016-05-09", "name": "线条1", "points": double.nan},{"date": "2016-05-10", "name": "线条1", "points": 120.622},{"date": "2016-05-11", "name": "线条1", "points": 123.85},{"date": "2016-05-12", "name": "线条1", "points": 122.963},{"date": "2016-05-13", "name": "线条1", "points": 126},{"date": "2016-05-17", "name": "线条1", "points": 130},{"date": "2016-05-18", "name": "线条1", "points": 128.845},{"date": "2016-05-19", "name": "线条1", "points": 130.17},{"date": "2016-05-20", "name": "线条1", "points": 129.741},{"date": "2016-05-23", "name": "线条1", "points": 129.668},{"date": "2016-05-24", "name": "线条1", "points": 126.886},{"date": "2016-05-25", "name": "线条1", "points": 128.239},{"date": "2016-05-26", "name": "线条1", "points": 127.239},{"date": "2016-05-27", "name": "线条1", "points": 127.457},{"date": "2016-05-30", "name": "线条1", "points": 127.37},{"date": "2016-05-31", "name": "线条1", "points": 130.756},{"date": "2016-06-01", "name": "线条1", "points": 133.232},{"date": "2016-06-02", "name": "线条1", "points": 126.47},{"date": "2016-06-03", "name": "线条1", "points": 126.385},{"date": "2016-06-06", "name": "线条1", "points": 128.331},{"date": "2016-06-07", "name": "线条1", "points": 130.914},{"date": "2016-06-08", "name": "线条1", "points": 133},{"date": "2016-06-09", "name": "线条1", "points": 133.041},{"date": "2016-06-10", "name": "线条1", "points": 133.041},{"date": "2016-06-13", "name": "线条1", "points": 129},{"date": "2016-06-14", "name": "线条1", "points": 129.166},{"date": "2016-06-15", "name": "线条1", "points": 124.687},{"date": "2016-06-16", "name": "线条1", "points": 122.77},{"date": "2016-06-17", "name": "线条1", "points": 126.461},{"date": "2016-06-20", "name": "线条1", "points": 127},{"date": "2016-06-21", "name": "线条1", "points": 125.594},{"date": "2016-06-22", "name": "线条1", "points": 127.438},{"date": "2016-06-23", "name": "线条1", "points": 124.44},{"date": "2016-06-24", "name": "线条1", "points": 122.131},{"date": "2016-06-27", "name": "线条1", "points": 120.53},{"date": "2016-06-28", "name": "线条1", "points": 120.296},{"date": "2016-06-29", "name": "线条1", "points": 125.877},{"date": "2016-06-30", "name": "线条1", "points": 126.404},
];相关文章：
【Flutter】graphic图表实现自定义tooltip
renderer graphic中tooltip的TooltipGuide类提供了renderer方法，接收三个参数Size类型，Offset类型，Map<int, Tuple>类型。可查到的文档是真的少，所以只能在源码中扒拉例子，做符合需求的修改。 官方github示例 …...
手机上的记事本怎么打开？安卓手机通用的记事本APP
有不少上班族发现，自己想要在电脑上随手记录一些工作文字内容，直接使用电脑上的记事本工具来编辑文字是比较便捷的。但是如果想要在手机上记录文字内容，就找不到手机上的记事本了。那么手机上的记事本怎么打开？安卓手机通用的记事…...
一起学docker系列之十五深入了解 Docker Network：构建容器间通信的桥梁
目录 1 前言2 什么是 Docker Network3 Docker Network 的不同模式3.1 桥接模式（Bridge）3.2 Host 模式3.3 无网络模式（None）3.4 容器模式（Container） 4 Docker Network 命令及用法4.1 docker network ls4.2 …...
前端OFD文件预览（vue案例cafe-ofd）
0、提示 下面只有vue的使用示例demo ，官文档参考 cafe-ofd - npm 其他平台可以参考 ofd - npm 官方线上demo: ofd 1、安装包 npm install cafe-ofd --save 2、引入 import cafeOfd from cafe-ofd import cafe-ofd/package/index.css Vue.use(cafeOfd) 3、使…...
Java[list/set]通用遍历方法之Iterator
需求：输入一个字符串 将其拆解成单个汉字 然后一行一个输出 这里要求使用到Arraylist集合实现方法Itrator遍历的原理import java.util.ArrayList; import java.util.Collection; import java.util.Iterator;public class Main{public static void main(String[] arg…...
ubuntu/vscode下的c/c++开发之-CMake语法与练习
Cmake学习 1 语法特性介绍 基本语法格式：指令(参数 1 参数 2...) 参数使用括弧括起参数之间使用空格或分号分开 指令是大小写无关的，参数和变量是大小写相关的 set(HELLO hello.cpp) add_executable(hello main.cpp hello.cpp) ADD_EXECUTABLE(hello ma…...
Java(119):ExcelUtil工具类(org.apache.poi读取和写入Excel)
ExcelUtil工具类(XSSFWorkbook读取和写入Excel)，入参和出参都是：List<Map<String,Object>> 一、读取Excel testdata.xlsx 1、new XSSFWorkbook对象 File file = new File(filePath); FileInputStream fis = new FileInputStream(file);…...
Kong处理web服务跨域
前言 好久没写文章了，大概有半年多了，这半年故事太多，本文写不下，就写写文章标题问题！ 问题描述 关于跨域的本质问题我这里不过多介绍，详细请看历史文章 跨域产生的原因以及常见的解决方案。 我这边是新…...
Kotlin学习——kt里的作用域函数scope function，let，run，with，apply，also
Kotlin 是一门现代但已成熟的编程语言，旨在让开发人员更幸福快乐。 它简洁、安全、可与 Java 及其他语言互操作，并提供了多种方式在多个平台间复用代码，以实现高效编程。 https://play.kotlinlang.org/byExample/01_introduction/02_Functio…...
informer辅助笔记：utils/timefeatures.py
定义了一套与时间特征相关的类和函数，旨在从时间序列数据中提取有用的时间特征，以支持各种时间序列分析和预测任务 from typing import Listimport numpy as np import pandas as pd from pandas.tseries import offsets from pandas.tseries.frequenc…...
[Verilog语法]：===和!==运算符使用注意事项
[Verilog语法]：和!运算符使用注意事项 1， 和 !运算符使用注意事项2，3， 1， 和 !运算符使用注意事项 参考文献： 1，[SystemVerilog语法拾遗] 和!运算符使用注意事项 2， 3，...
mybatis 高并发查询性能问题
场景： 使用Mybatis （3.5.10）SelectProvider注解执行动态sql 在高并发查询时 QPS 很低 问题复现 mybatis 配置 （getOfflineConfigSqlTemplate 该方法返回的是动态sql ） 压测结果 观察线程阻塞情况 此时的QPS 在 …...
我在Vscode学OpenCV 图像处理一（阈值处理、形态学操作【连通性，腐蚀和膨胀，开闭运算，礼帽和黑帽，内核】）
文章目录 一、阈值处理1.1 OpenCV 提供了函数 cv2.threshold()和函数 cv2.adaptiveThreshold()，用于实现阈值处理1.1.1. cv2.threshold()：(1)在函数cv2.threshold()中，参数threshold_type用于指定阈值处理的方式。它有以下几种可选的阈值类型…...
Yolov8实现瓶盖正反面检测
一、模型介绍 模型基于 yolov8n数据集采用SKU-110k，这数据集太大了十几个 G，所以只训练了 10 轮左右就拿来微调了 基于原木数据微调：训练 200 轮的效果 10 轮SKU-110k 20 轮原木 200 轮瓶盖正反面 微调模型下载地址https://wwxd.lanzouu.co…...
GAN：WGAN前作
WGAN前作：有原则的方法来训练GANs 论文：https://arxiv.org/abs/1701.04862 发表：ICLR 2017 本文是wgan三部曲的第一部。文中并没有引入新的算法，而是标是朝着完全理解生成对抗网络的训练动态过程迈进理论性的一步。 文中基本是…...
数据库应用：MongoDB 文档与索引管理
目录 一、理论 1.MongoDB文档管理 2.MongoDB索引管理 二、实验 1.MongoDB文档管理 2.MongoDB索引管理（索引添加与删除） 3.MongoDB索引管理（全文索引） 4.MongoDB索引管理（多列索引） 5.MongoDB索引管…...
Python批处理PDF文件，PDF附件轻松批量提取
PDF附件是指在PDF文档中嵌入的其他文件，如图像、表格、音频、视频或其他文档。这些附件可以与PDF文档一起存储、传输和共享，为文档提供了更丰富的内容和更多的功能。通过添加附件，我们可以将相关文件和信息捆绑在一起，使其更易于管…...
Python可迭代对象排序：深入排序算法与定制排序
更多Python学习内容：ipengtao.com 排序在计算机科学中是一项基础而关键的操作，而Python提供了强大的排序工具来满足不同场景下的排序需求。本文将深入探讨Python中对可迭代对象进行排序的方法，涵盖基础排序算法、sorted函数的应用、以及定制排…...
基于matlab的图像去噪算法设计与实现
摘 要 随着我们生活水平的提高，科技产品飞速更新换代，在信息传输中，图像传输所占的比重越来越大。但自然噪声会在图像传输时干扰其传输过程，甚至会使图片不能表达其原来的意义。去噪处理就是为了去除图像中的噪声，从而…...
NFTScan 正式上线 Starknet NFTScan 浏览器和 NFT API 数据服务
2023 年 11 月 30 号，NFTScan 团队正式对外发布了 Starknet NFTScan 浏览器，将为 Starknet 生态的 NFT 开发者和用户提供简洁高效的 NFT 数据搜索查询服务。NFTScan 作为全球领先的 NFT 数据基础设施服务商，Starknet 是继 Bitcoin、Ethereum、…...
Unity3D中Gfx.WaitForPresent优化方案
前言 在Unity中，Gfx.WaitForPresent占用CPU过高通常表示主线程在等待GPU完成渲染（即CPU被阻塞），这表明存在GPU瓶颈或垂直同步/帧率设置问题。以下是系统的优化方案： 对惹，这里有一个游戏开发交流小组&…...
前端倒计时误差!
提示：记录工作中遇到的需求及解决办法 文章目录 前言一、误差从何而来？二、五大解决方案1. 动态校准法（基础版）2. Web Worker 计时3. 服务器时间同步4. Performance API 高精度计时5. 页面可见性API优化三、生产环境最佳实践四、终极解决方案架构前言 前几天听说公司某个项…...
解锁数据库简洁之道：FastAPI与SQLModel实战指南
在构建现代Web应用程序时，与数据库的交互无疑是核心环节。虽然传统的数据库操作方式（如直接编写SQL语句与psycopg2交互）赋予了我们精细的控制权，但在面对日益复杂的业务逻辑和快速迭代的需求时，这种方式的开发效率和可…...
【机器视觉】单目测距——运动结构恢复
ps：图是随便找的，为了凑个封面 前言 在前面对光流法进行进一步改进，希望将2D光流推广至3D场景流时，发现2D转3D过程中存在尺度歧义问题，需要补全摄像头拍摄图像中缺失的深度信息，否则解空间不收敛…...
渲染学进阶内容——模型
最近在写模组的时候发现渲染器里面离不开模型的定义，在渲染的第二篇文章中简单的讲解了一下关于模型部分的内容，其实不管是方块还是方块实体，都离不开模型的内容 🧱 一、CubeListBuilder 功能解析 CubeListBuilder 是 Minecraft Java 版模型系统的核心构建器，用于动态创…...
第一篇：Agent2Agent (A2A) 协议——协作式人工智能的黎明
AI 领域的快速发展正在催生一个新时代，智能代理（agents）不再是孤立的个体，而是能够像一个数字团队一样协作。然而，当前 AI 生态系统的碎片化阻碍了这一愿景的实现，导致了“AI 巴别塔问题”——不同代理之间…...
TRS收益互换：跨境资本流动的金融创新工具与系统化解决方案
一、TRS收益互换的本质与业务逻辑 （一）概念解析 TRS（Total Return Swap）收益互换是一种金融衍生工具，指交易双方约定在未来一定期限内，基于特定资产或指数的表现进行现金流交换的协议。其核心特征包括&am…...
什么？连接服务器也能可视化显示界面？：基于X11 Forwarding + CentOS + MobaXterm实战指南
文章目录 什么是X11？环境准备实战步骤1️⃣ 服务器端配置（CentOS）2️⃣ 客户端配置（MobaXterm）3️⃣ 验证X11 Forwarding4️⃣ 运行自定义GUI程序(Python示例)5️⃣ 成功效果
推荐 github 项目:GeminiImageApp(图片生成方向，可以做一定的素材)
推荐 github 项目:GeminiImageApp(图片生成方向，可以做一定的素材) 这个项目能干嘛? 使用 gemini 2.0 的 api 和 google 其他的 api 来做衍生处理 简化和优化了文生图和图生图的行为(我的最主要) 并且有一些目标检测和切割(我用不到) 视频和 imagefx 因为没 a…...
C/C++ 中附加包含目录、附加库目录与附加依赖项详解
在 C/C 编程的编译和链接过程中，附加包含目录、附加库目录和附加依赖项是三个至关重要的设置，它们相互配合，确保程序能够正确引用外部资源并顺利构建。虽然在学习过程中，这些概念容易让人混淆，但深入理解它们的作用和联…...