Home  >  Article  >  Web Front-end  >  ECharts drift chart: how to show data drift trends

ECharts drift chart: how to show data drift trends

王林
王林Original
2023-12-18 09:09:521214browse

ECharts drift chart: how to show data drift trends

ECharts Drift Chart: Showing Data Drift Trend

Introduction:
Data visualization is an important means of data analysis, and ECharts is an excellent open source visualization library , which provides us with rich data display methods. This article will introduce the use of drift charts in ECharts to help readers master how to display data drift trends.

1. What is a drift graph?
The drift chart is a visual chart that can present the drift trend of data. It clearly displays the changes in the relationship between data by displaying the moving paths of multiple points in the coordinate system. Drift charts are mainly used to display trend drift, distribution drift, etc. in time series data.

2. The basic structure of the drift chart
The drift chart consists of a coordinate system, data points and connecting lines.

  1. Coordinate system
    In ECharts, drift charts usually use the Cartesian coordinate system (cartesian). The coordinate system is configured as required, and you can choose a two-dimensional coordinate system or a polar coordinate system. The scale, axis line and label styles of the coordinate axes can be customized through configuration items.
  2. Data points
    Data points represent the data to be displayed. The position of each data point in the chart is determined based on the values ​​of the horizontal and vertical coordinates. Typically, data points move over time.
  3. Connecting lines
    Connecting lines are used to describe the relationship between data points. The connection line can set attributes such as color and line type through configuration items.

3. How to use the drift chart
Below we will use several examples to demonstrate how to use ECharts to draw a drift chart.

  1. Drift chart example one: single data point drift chart
// 引入 ECharts
import ECharts from 'echarts';

// 初始化 ECharts 实例
const chart = ECharts.init(document.getElementById('chart-container'));

// 配置漂移图
const option = {
  xAxis: {
    type: 'value',
    min: 0,
    max: 10
  },
  yAxis: {
    type: 'value',
    min: 0,
    max: 10
  },
  series: [
    {
      type: 'line',
      data: [[0, 0]],
      markPoint: {
        data: [{type: 'max', name: '最大值'}]
      }
    }
  ]
};

// 渲染图表
chart.setOption(option);
  1. Drift chart example two: multiple data point drift chart
// 引入 ECharts
import ECharts from 'echarts';

// 初始化 ECharts 实例
const chart = ECharts.init(document.getElementById('chart-container'));

// 配置漂移图
const option = {
  xAxis: {
    type: 'value',
    min: 0,
    max: 10
  },
  yAxis: {
    type: 'value',
    min: 0,
    max: 10
  },
  series: [
    {
      type: 'line',
      data: [
        [1, 1],
        [2, 2],
        [3, 3],
        [4, 4],
        [5, 5]
      ],
      markPoint: {
        data: [{type: 'max', name: '最大值'}]
      }
    }
  ]
};

// 渲染图表
chart.setOption(option);

The above two examples show the drift plots of a single data point and multiple data points.

4. Summary
The drift chart is an important chart that can show data drift. Using the drift chart in ECharts can be achieved through simple configuration. Through reasonable configuration, we can display the trend drift trend of the data and help us better understand the process of data change. I hope this article will be helpful to readers using ECharts to draw drift charts.

References:

  • ECharts official documentation: https://echarts.apache.org/zh/index.html

(Word count: 500 )

The above is the detailed content of ECharts drift chart: how to show data drift trends. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn