背景
公司最近引入了 Flutter 技术栈，Flutter 是谷歌的移动 UI 框架，可以快速在 iOS 和 Android 上构建高质量的原生用户界面。然而由于 Flutter 还在早期发展阶段没有，生态建设还不够完善。比如项目中需要用到图表 UI 组件，经过一番调研，Google/charts 功能最强大，样式最丰富（详见 online gallery），于是引入到项目中。但是 charts 只实现了直线折线图，所以只能 fork charts 项目自己实现平滑曲线效果。
基础使用
- Goole/charts 这个图表库很强大，但是文档不太友好，只有 online gallery 上有纯示例代码，几乎没有 Api 说明。
- 可行性分析的 Demo 效果
- 仔细研究优化后的效果
- 具体使用代码及注释
return Container(
height: 150.0,
child: charts.LineChart(
_createChartData(), // 折线图的点的数据列表
animate: true, // 动画
defaultRenderer: charts.LineRendererConfig( // 折线图绘制的配置
includeArea: true,
includePoints: true,
includeLine: true,
stacked: false,
),
domainAxis: charts.NumericAxisSpec( // 主轴的配置
tickFormatterSpec: DomainFormatterSpec(widget.dateRange), // tick 值的格式化，这里把 num 转换成 String
renderSpec: charts.SmallTickRendererSpec( // 主轴绘制的配置
tickLengthPx: 0, // 刻度标识突出的长度
labelOffsetFromAxisPx: 12, // 刻度文字距离轴线的位移
labelStyle: charts.TextStyleSpec( // 刻度文字的样式
color: ChartUtil.getChartColor(HColors.lightGrey),
fontSize: HFontSizes.smaller.toInt(),
),
axisLineStyle: charts.LineStyleSpec( // 轴线的样式
color: ChartUtil.getChartColor(ChartUtil.lightBlue),
),
),
tickProviderSpec: charts.BasicNumericTickProviderSpec( // 轴线刻度配置
dataIsInWholeNumbers: false,
desiredTickCount: widget.data.length, // 期望显示几个刻度
),
),
primaryMeasureAxis: charts.NumericAxisSpec( // 交叉轴的配置，参数参考主轴配置
showAxisLine: false, // 显示轴线
tickFormatterSpec: MeasureFormatterSpec(),
tickProviderSpec: charts.BasicNumericTickProviderSpec(
dataIsInWholeNumbers: false,
desiredTickCount: 4,
),
renderSpec: charts.GridlineRendererSpec( // 交叉轴刻度水平线
tickLengthPx: 0,
labelOffsetFromAxisPx: 12,
labelStyle: charts.TextStyleSpec(
color: ChartUtil.getChartColor(HColors.lightGrey),
fontSize: HFontSizes.smaller.toInt(),
),
lineStyle: charts.LineStyleSpec(
color: ChartUtil.getChartColor(ChartUtil.lightBlue),
),
axisLineStyle: charts.LineStyleSpec(
color: ChartUtil.getChartColor(ChartUtil.lightBlue),
),
),
),
selectionModels: [ // 设置点击选中事件
charts.SelectionModelConfig(
type: charts.SelectionModelType.info,
listener: _onSelectionChanged,
)
],
behaviors: [
charts.InitialSelection(selectedDataConfig: [ // 设置默认选中
charts.SeriesDatumConfig<num>('LineChart', _index)
]),
],
),
);
复制代码平滑曲线效果实现
虽然基础使用实现的折线图效果已经很不错了，但 UI 设计是平滑曲线效果，工程师也赞同曲线效果更优雅的观点，所以决定挑战自我，自己实现平滑曲线效果。 通过一层层源码分析，最终发现绘制折线图折线的实现位置，改写该实现即可实现平滑曲线效果
line_chart.dart
defaultRenderer: charts.LineRendererConfig( // 折线图绘制的配置
includeArea: true,
includePoints: true,
includeLine: true,
stacked: false,
),
复制代码line_renderer.dart
if (config.includeLine) {
...
canvas.drawLine(
clipBounds: _getClipBoundsForExtent(line.positionExtent),
dashPattern: line.dashPattern,
points: line.points,
stroke: line.color,
strokeWidthPx: line.strokeWidthPx,
roundEndCaps: line.roundEndCaps);
}
});
}
});
复制代码chart_canvas.dart
@override
void drawLine(
...
_linePainter.draw(
canvas: canvas,
paint: _paint,
points: points,
clipBounds: clipBounds,
fill: fill,
stroke: stroke,
roundEndCaps: roundEndCaps,
strokeWidthPx: strokeWidthPx,
dashPattern: dashPattern);
}
复制代码既然找到了具体绘制折线的入口，剩下的就是如何根据给出的数据集合，绘制出平滑的曲线，而且曲线的范围不能超出数据集合的范围。前前后后尝试了三种绘制曲线的算法，前两种都由于超出数据集合范围而弃用了，最后的曲线效果采用的第三种算法绘制的。
样条插值是一种工业设计中常用的、得到平滑曲线的一种插值方法，三次样条又是其中用的较为广泛的一种。算法参考 Java 三次样条插值，代码实现如下： interpolation.dart
class Interpolation {
int n;
List<num> xs;
List<num> ys;
bool spInitialized;
List<num> spY2s;
Interpolation(List<num> _xs, List<num> _ys) {
this.n = _xs.length;
this.xs = _xs;
this.ys = _ys;
this.spInitialized = false;
}
num spline(num x) {
if (!this.spInitialized) {
// Assume Natural Spline Interpolation
num p, qn, sig, un;
List<num> us;
us = new List<num>(n - 1);
spY2s = new List<num>(n);
us[0] = spY2s[0] = 0.0;
for (int i = 1; i <= n - 2; i++) {
sig = (xs[i] - xs[i - 1]) / (xs[i + 1] - xs[i - 1]);
p = sig * spY2s[i - 1] + 2.0;
spY2s[i] = (sig - 1.0) / p;
us[i] = (ys[i + 1] - ys[i]) / (xs[i + 1] - xs[i]) -
(ys[i] - ys[i - 1]) / (xs[i] - xs[i - 1]);
us[i] = (6.0 * us[i] / (xs[i + 1] - xs[i - 1]) - sig * us[i - 1]) / p;
}
qn = un = 0.0;
spY2s[n - 1] = (un - qn * us[n - 2]) / (qn * spY2s[n - 2] + 1.0);
for (int k = n - 2; k >= 0; k--) {
spY2s[k] = spY2s[k] * spY2s[k + 1] + us[k];
}
this.spInitialized = true;
}
int klo, khi, k;
num h, b, a;
klo = 0;
khi = n - 1;
while (khi - klo > 1) {
k = (khi + klo) >> 1;
if (xs[k] > x)
khi = k;
else
klo = k;
}
h = xs[khi] - xs[klo];
if (h == 0.0) {
throw new Exception('h==0.0');
}
a = (xs[khi] - x) / h;
b = (x - xs[klo]) / h;
return a * ys[klo] +
b * ys[khi] +
((a * a * a - a) * spY2s[klo] + (b * b * b - b) * spY2s[khi]) *
(h * h) /
6.0;
}
}
复制代码line_painter.dart
/// Draws smooth lines between each point.
void _drawSmoothLine(Canvas canvas, Paint paint, List<Point> points) {
var interval = 0.1;
var interpolationPoints = List<Point>();
for (int k = 0; k < points.length; k++) {
if ((k + 1) < points.length) {
num temp = 0;
while (temp < points[k + 1].x) {
temp = temp + interval;
interpolationPoints.add(Point(temp, 0.0));
}
}
}
var tempX = points.map((item) => item.x).toList();
var tempY = points.map((item) => item.y).toList();
var ip = Interpolation(tempX, tempY);
for (int j = 0; j < interpolationPoints.length; j++) {
interpolationPoints[j] =
Point(interpolationPoints[j].x, ip.spline(interpolationPoints[j].x));
}
interpolationPoints.addAll(points);
interpolationPoints.sort((a, b) {
if (a.x == b.x)
return 0;
else if (a.x < b.x)
return -1;
else
return 1;
});
final path = new Path();
path.moveTo(interpolationPoints[0].x.toDouble(), interpolationPoints[0].y.toDouble());
for (int i = 1; i < interpolationPoints.length; i++) {
path.lineTo(interpolationPoints[i].x.toDouble(), interpolationPoints[i].y.toDouble());
}
canvas.drawPath(path, paint);
}
复制代码最终效果图
看起来效果还是挺完美的，但是其实有个致命问题，曲线的顶点可能会超出折线图数据的范围
三次贝塞尔曲线就是这样的一条曲线，它是依据四个位置任意的点坐标绘制出的一条光滑曲线，其难点是两个控制点的计算，算法参考 贝塞尔曲线平滑拟合折线段，代码实现如下： line_painter.dart
/// Draws smooth lines between each point.
void _drawSmoothLine(Canvas canvas, Paint paint, List<Point> points) {
var targetPoints = List<Point>();
targetPoints.add(points[0]);
targetPoints.addAll(points);
targetPoints.add(points[points.length - 1]);
final path = new Path();
for (int i = 1; i < targetPoints.length - 2; i++) {
path.moveTo(
targetPoints[i].x.toDouble(), targetPoints[i].y.toDouble());
var controllerPoint1 = Point(
targetPoints[i].x + (targetPoints[i + 1].x - targetPoints[i - 1].x) / 4,
targetPoints[i].y + (targetPoints[i + 1].y - targetPoints[i - 1].y) / 4,
);
var controllerPoint2 = Point(
targetPoints[i + 1].x - (targetPoints[i + 2].x - targetPoints[i].x) / 4,
targetPoints[i + 1].y - (targetPoints[i + 2].y - targetPoints[i].y) / 4,
);
path.cubicTo(
controllerPoint1.x, controllerPoint1.y, controllerPoint2.x,
controllerPoint2.y, targetPoints[i + 1].x, targetPoints[i + 1].y);
}
canvas.drawPath(path, paint);
}
复制代码平滑曲线效果也是可以实现的，但是依然存在顶点越界的问题
- 贝塞尔曲线（MonotoneX）
因为之前 RN 项目用到了 victory-native / victory-chart，通过源码和文档发现它的曲线效果实现是依赖了 d3-shap 的 d3.curveMonotoneX，算法参考 monotone.js，实现代码如下：
注：由于算法需要当前点和前两个点才能画出一段曲线，所以在折线点数据集合最后人为添加了一个点，否则画出来的曲线会缺少最后一段
line_painter.dart
/// Draws smooth lines between each point.
void _drawSmoothLine(Canvas canvas, Paint paint, List<Point> points) {
var targetPoints = List<Point>();
targetPoints.addAll(points);
targetPoints.add(Point(
points[points.length - 1].x * 2, points[points.length - 1].y * 2));
var x0,
y0,
x1,
y1,
t0,
path = Path();
for (int i = 0; i < targetPoints.length; i++) {
var t1;
var x = targetPoints[i].x;
var y = targetPoints[i].y;
if (x == x1 && y == y1) return;
switch (i) {
case 0:
path.moveTo(x, y);
break;
case 1:
break;
case 2:
t1 = MonotoneX.slope3(x0, y0, x1, y1, x, y);
MonotoneX.point(
path,
x0,
y0,
x1,
y1,
MonotoneX.slope2(x0, y0, x1, y1, t1),
t1);
break;
default:
t1 = MonotoneX.slope3(x0, y0, x1, y1, x, y);
MonotoneX.point(
path,
x0,
y0,
x1,
y1,
t0,
t1);
}
x0 = x1;
y0 = y1;
x1 = x;
y1 = y;
t0 = t1;
}
canvas.drawPath(path, paint);
}
复制代码最终效果图，顶点都是折线图数据集合里的点，完美！
- 源码
详见 GitHub dev 分支 github.com/123lxw123/c…
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