如何去掉 canvas 矩形之间的细线
How do I get rid of tiny lines between canvas rects
我是 D3 的新手,正如您在上图中看到的,每个矩形之间有微小的 lines/gaps,我想去掉,这是在 canvas 上绘制的每个矩形的元素从最后一个矩形开始,使用 D3.js 按照 this 教程几乎完全减去每个正方形之间的间隙。
我试过了
this.canvas.imageSmoothingQuality = 'low';
draw() {
const canvas = d3
.select(this.chartContainer.nativeElement)
.append('canvas')
.attr('width', this.width)
.attr('height', this.height)
.attr(
'transform',
'translate(' + this.margin.left + ',' + this.margin.top + ')'
);
this.canvas = canvas.node().getContext('2d');
this.clearCanvas();
this.canvas.imageSmoothingQuality = 'low';
const elements = this.shadowContainer.selectAll('custom.rect');
const _this = this;
elements.each(function(d, i) {
const node = d3.select(this);
// Here you retrieve the colour from the individual in-memory node and set the fillStyle for the canvas paint
_this.canvas.fillStyle = node.attr('color');
// Here you retrieve the position of the node and apply it to the fillRect context function which will fill and paint the square.
_this.canvas.fillRect(
Number(node.attr('x')),
Number(node.attr('y')),
Number(node.attr('width')),
Number(node.attr('height'))
);
});
}
private dataBind(value) {
const customBase = document.createElement('custom');
this.shadowContainer = d3.select(customBase);
const {
viewModes: {
heatMap: {
data,
chartOptions: { engagementStatus, xAxis, yAxis }
}
}
} = value;
const x = this.d3
.scaleBand()
.range([0, this.width])
.domain(xAxis.categories);
this.shadowContainer
.append('g')
.style('font-size', 11)
.attr('class', 'x-axis')
.call(this.d3.axisTop(x).tickSize(0))
.select('.domain')
.remove();
this.shadowContainer
.selectAll('.x-axis text')
.style('text-anchor', 'start')
.attr('transform', function(d) {
return `translate(8, -8)rotate(-90)`;
});
const y = this.d3
.scaleBand()
.domain(d3.reverse(yAxis.categories))
.range([this.height, 0]);
const color = this.d3
.scaleLinear()
.domain([-2, -1, 0, 1])
// @ts-ignore
.range(['#5b717d', '#ffb957', '#ee6b56', '#40a050']);
const join = this.shadowContainer
.selectAll('custom.rect')
.data(data, function(d) {
return `${d.Date}:${d.Member}`;
});
const enterSelection = join
.enter()
.append('custom')
.attr('class', 'rect')
.attr('x', d =>
this.getCorrectDatePosition(
d.Date,
x,
xAxis.categories[0].split('/').length
)
)
.attr('y', function(d) {
return y(d.Member);
})
.attr('width', 24)
.attr('height', 24);
join
.merge(enterSelection)
.attr('width', x.bandwidth())
.attr('height', y.bandwidth())
.attr('color', function(d) {
return color(d.score);
});
const exitSelection = join
.exit()
.transition()
.attr('width', 0)
.attr('height', 0)
.remove();
}
这可能是您的体重秤引起的问题。它可以与 SVG 或 canvas 一起出现,并且在处理需要在像素的分数处绘制的坐标时发生。
这是一个 SVG 演示:
var data = d3.range(20);
var x = d3.scaleBand()
.range([10,250])
.domain(data)
var svg = d3.select("body")
.append("svg")
.attr("width", 500);
var rect = svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d=>x(d) )
.attr("y", 50)
.attr("width", x.bandwidth())
.attr("height",100)
.attr("fill","crimson")
svg.transition()
.attrTween("tween", function() {
var i = d3.interpolate(250,480)
return function(t) {
x.range([50,i(t)])
rect.attr("x",d=>x(d))
.attr("width", x.bandwidth());
return "";
}
})
.duration(10000);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
还有一个 Canvas:
var data = d3.range(20);
var x = d3.scaleBand()
.range([10,250])
.domain(data)
var canvas = d3.select("body")
.append("canvas")
.attr("width", 500);
var rect = d3.create("div").selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d=>x(d) )
.attr("y", 50)
.attr("width", x.bandwidth())
.attr("height",100)
.attr("fill","crimson")
canvas.transition()
.attrTween("tween", function() {
var i = d3.interpolate(250,480)
var context = canvas.node().getContext("2d");
return function(t) {
x.range([50,i(t)])
context.fillStyle = "#fff";
context.fillRect(0,0,550,300);
rect.attr("x",d=>x(d))
.attr("width", x.bandwidth())
.each(function() {
var node = d3.select(this);
context.fillStyle = "crimson"
context.fillRect(
+node.attr("x"),
+node.attr("y"),
+node.attr("width"),
+node.attr("height"))
})
return "";
}
})
.duration(10000);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
解决方案是更多地参与设置比例尺的域和范围。从所需的带宽开始,以像素为单位的整数,并设置范围,使最小值和最大值之间的差异等于域中值的数量 * 带宽。
所以代替:
const x = this.d3
.scaleBand()
.range([0, this.width])
.domain(xAxis.categories);
你会:
const length = 10; // length of a box side
const x = this.d3
.scaleBand()
.domain(xAxis.categories)
.range([0,xAxis.categories * length])
您还可以动态计算上面的 length
,例如使用:Math.floor(width/xAxis.categories)
使用上述方法和一个稍微人为设计的示例来适应转换,我们删除了 aliasing/moire 模式。 因为我们只使用完整像素,所以随着每个条的宽度同时增加一个完整像素,过渡会跳跃,因为 space 在以下范围内可用:
var data = d3.range(20);
var length = 30;
var x = d3.scaleBand()
.range([10,data.length*length])
.domain(data)
var canvas = d3.select("body")
.append("canvas")
.attr("width", 500);
var rect = d3.create("div").selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d=>x(d) )
.attr("y", 50)
.attr("width", x.bandwidth())
.attr("height",100)
.attr("fill","crimson")
canvas.transition()
.attrTween("tween", function() {
var i = d3.interpolate(250,480)
var context = canvas.node().getContext("2d");
return function(t) {
length = Math.floor(i(t)/data.length)
x.range([10,length*data.length+10])
context.fillStyle = "#fff";
context.fillRect(0,0,550,300);
rect.attr("x",d=>x(d))
.attr("width", x.bandwidth())
.each(function(d,i) {
var node = d3.select(this);
context.fillStyle = d3.schemeCategory10[i%10];
context.fillRect(
+node.attr("x"),
+node.attr("y"),
+node.attr("width"),
+node.attr("height"))
})
return "";
}
})
.duration(10000);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
我是 D3 的新手,正如您在上图中看到的,每个矩形之间有微小的 lines/gaps,我想去掉,这是在 canvas 上绘制的每个矩形的元素从最后一个矩形开始,使用 D3.js 按照 this 教程几乎完全减去每个正方形之间的间隙。
我试过了
this.canvas.imageSmoothingQuality = 'low';
draw() {
const canvas = d3
.select(this.chartContainer.nativeElement)
.append('canvas')
.attr('width', this.width)
.attr('height', this.height)
.attr(
'transform',
'translate(' + this.margin.left + ',' + this.margin.top + ')'
);
this.canvas = canvas.node().getContext('2d');
this.clearCanvas();
this.canvas.imageSmoothingQuality = 'low';
const elements = this.shadowContainer.selectAll('custom.rect');
const _this = this;
elements.each(function(d, i) {
const node = d3.select(this);
// Here you retrieve the colour from the individual in-memory node and set the fillStyle for the canvas paint
_this.canvas.fillStyle = node.attr('color');
// Here you retrieve the position of the node and apply it to the fillRect context function which will fill and paint the square.
_this.canvas.fillRect(
Number(node.attr('x')),
Number(node.attr('y')),
Number(node.attr('width')),
Number(node.attr('height'))
);
});
}
private dataBind(value) {
const customBase = document.createElement('custom');
this.shadowContainer = d3.select(customBase);
const {
viewModes: {
heatMap: {
data,
chartOptions: { engagementStatus, xAxis, yAxis }
}
}
} = value;
const x = this.d3
.scaleBand()
.range([0, this.width])
.domain(xAxis.categories);
this.shadowContainer
.append('g')
.style('font-size', 11)
.attr('class', 'x-axis')
.call(this.d3.axisTop(x).tickSize(0))
.select('.domain')
.remove();
this.shadowContainer
.selectAll('.x-axis text')
.style('text-anchor', 'start')
.attr('transform', function(d) {
return `translate(8, -8)rotate(-90)`;
});
const y = this.d3
.scaleBand()
.domain(d3.reverse(yAxis.categories))
.range([this.height, 0]);
const color = this.d3
.scaleLinear()
.domain([-2, -1, 0, 1])
// @ts-ignore
.range(['#5b717d', '#ffb957', '#ee6b56', '#40a050']);
const join = this.shadowContainer
.selectAll('custom.rect')
.data(data, function(d) {
return `${d.Date}:${d.Member}`;
});
const enterSelection = join
.enter()
.append('custom')
.attr('class', 'rect')
.attr('x', d =>
this.getCorrectDatePosition(
d.Date,
x,
xAxis.categories[0].split('/').length
)
)
.attr('y', function(d) {
return y(d.Member);
})
.attr('width', 24)
.attr('height', 24);
join
.merge(enterSelection)
.attr('width', x.bandwidth())
.attr('height', y.bandwidth())
.attr('color', function(d) {
return color(d.score);
});
const exitSelection = join
.exit()
.transition()
.attr('width', 0)
.attr('height', 0)
.remove();
}
这可能是您的体重秤引起的问题。它可以与 SVG 或 canvas 一起出现,并且在处理需要在像素的分数处绘制的坐标时发生。
这是一个 SVG 演示:
var data = d3.range(20);
var x = d3.scaleBand()
.range([10,250])
.domain(data)
var svg = d3.select("body")
.append("svg")
.attr("width", 500);
var rect = svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d=>x(d) )
.attr("y", 50)
.attr("width", x.bandwidth())
.attr("height",100)
.attr("fill","crimson")
svg.transition()
.attrTween("tween", function() {
var i = d3.interpolate(250,480)
return function(t) {
x.range([50,i(t)])
rect.attr("x",d=>x(d))
.attr("width", x.bandwidth());
return "";
}
})
.duration(10000);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
还有一个 Canvas:
var data = d3.range(20);
var x = d3.scaleBand()
.range([10,250])
.domain(data)
var canvas = d3.select("body")
.append("canvas")
.attr("width", 500);
var rect = d3.create("div").selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d=>x(d) )
.attr("y", 50)
.attr("width", x.bandwidth())
.attr("height",100)
.attr("fill","crimson")
canvas.transition()
.attrTween("tween", function() {
var i = d3.interpolate(250,480)
var context = canvas.node().getContext("2d");
return function(t) {
x.range([50,i(t)])
context.fillStyle = "#fff";
context.fillRect(0,0,550,300);
rect.attr("x",d=>x(d))
.attr("width", x.bandwidth())
.each(function() {
var node = d3.select(this);
context.fillStyle = "crimson"
context.fillRect(
+node.attr("x"),
+node.attr("y"),
+node.attr("width"),
+node.attr("height"))
})
return "";
}
})
.duration(10000);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
解决方案是更多地参与设置比例尺的域和范围。从所需的带宽开始,以像素为单位的整数,并设置范围,使最小值和最大值之间的差异等于域中值的数量 * 带宽。
所以代替:
const x = this.d3
.scaleBand()
.range([0, this.width])
.domain(xAxis.categories);
你会:
const length = 10; // length of a box side
const x = this.d3
.scaleBand()
.domain(xAxis.categories)
.range([0,xAxis.categories * length])
您还可以动态计算上面的 length
,例如使用:Math.floor(width/xAxis.categories)
使用上述方法和一个稍微人为设计的示例来适应转换,我们删除了 aliasing/moire 模式。 因为我们只使用完整像素,所以随着每个条的宽度同时增加一个完整像素,过渡会跳跃,因为 space 在以下范围内可用:
var data = d3.range(20);
var length = 30;
var x = d3.scaleBand()
.range([10,data.length*length])
.domain(data)
var canvas = d3.select("body")
.append("canvas")
.attr("width", 500);
var rect = d3.create("div").selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d=>x(d) )
.attr("y", 50)
.attr("width", x.bandwidth())
.attr("height",100)
.attr("fill","crimson")
canvas.transition()
.attrTween("tween", function() {
var i = d3.interpolate(250,480)
var context = canvas.node().getContext("2d");
return function(t) {
length = Math.floor(i(t)/data.length)
x.range([10,length*data.length+10])
context.fillStyle = "#fff";
context.fillRect(0,0,550,300);
rect.attr("x",d=>x(d))
.attr("width", x.bandwidth())
.each(function(d,i) {
var node = d3.select(this);
context.fillStyle = d3.schemeCategory10[i%10];
context.fillRect(
+node.attr("x"),
+node.attr("y"),
+node.attr("width"),
+node.attr("height"))
})
return "";
}
})
.duration(10000);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>