I need to align x-axis labels as shown in the snapshot below: I tried: .attr("transform",function(d) {return"rotate(-90)"}) But it rotated the whole axis/scale. How do I fix this? jsFiddle EDIT:I updated my code: svg.append("g") .attr("class","x axis") .attr("transform...
旋转x轴文本标签是Chart.js中的一个功能,它允许用户将x轴上的文本标签旋转以适应较长的标签或更好地展示数据。通过旋转文本标签,可以提高图表的可读性和美观性。 在Chart.js中,可以通过以下方式旋转x轴文本标签: 使用ticks配置项:可以通过设置x轴的ticks配置项来旋转文本标签。ticks配置项是一个对象,可以设置各种与...
xAxis: { show: true, // 是否显示 x 轴 position: 'top', // x 轴的位置('top','bottom') type: 'category', // 坐标轴类型 nameRotate: 10, // 坐标轴名字旋转,角度值 inverse: false, // 是否是反向坐标轴 boundaryGap: ['20%', '20%'], // 坐标轴两边留白策略 splitNumber: 5, // ...
1st - Overriding the scale draw function http://jsfiddle.net/leighking2/96grgz0d/ Only change here is before drawing the x-axis label we test if the label is a number and if its remainder when divided by 5 is not equal to 0 (so any number not dividable by 5) if it matches both...
Version 4.5.0 Steps to reproduce In a chart with large amount of data, when zooming the chart, I can't make the axis Label rotate or disappear. I searched on docs, but I don't find something about. In interval prop, I take only the index...
# 使用的 x 轴的 index,在单个图表实例中存在多个 x 轴的时候有用。 xaxis_index: Optional[Numeric] = None, # 使用的 y 轴的 index,在单个图表实例中存在多个 y 轴的时候有用。 yaxis_index: Optional[Numeric] = None, # 系列 label 颜色 ...
要旋转整个图表元素（如在图像中），可以使用CSSrotate transform function：
The line chart requires an array of labels for each of the data points. This is show on the X axis. The data for line charts is broken up into an array of datasets. Each dataset has a colour for the fill, a colour for the line and colours for the points and strokes of the points...
ChartJS xAxis标签位置 、、 我有一个ChartJS,当您将窗口调整为较小尺寸时,它会将标签显示为倾斜的。我想要做的是将X标签垂直降低一点,这样如果可能的话,它们就不会离图形的底部太近。在谷歌搜索之后,看起来我可以禁用x轴的刻度显示,并使用该选项的动画手动执行此操作。我尝试在下面的中实现这一点。ctx.fillTe...
xAxis: [ { type:'category', data: ['Mon','Tue','Wed','Thu','Fri','Sat','Sun'], axisLabel: { interval:0, rotate:30}, splitLine: { show:false} }, { gridIndex:1, type:'category', data: ['Mon1','Tue1','Wed1','Thu1','Fri1','Sat1','Sun1'], ...