How to use polar coordinate system to display data in ECharts
How to use polar coordinate system to display data in ECharts
1. Introduction
ECharts is an open source visualization library developed based on JavaScript, which provides a wealth of The chart types and interactive capabilities make it easy to visually display data. Among them, polar coordinate system is a type of coordinate system commonly used in ECharts. It can display data in polar coordinates, making the relationship between data clearer. This article will introduce how to use the polar coordinate system to display data in ECharts, and provide some specific code examples.
2. Basic configuration
Before using ECharts to display polar coordinate system data, we first need to perform some basic configuration. In the tag of the HTML page, introduce the JavaScript file of ECharts:
1 |
|
Then, add a <div># with a certain width and height to the page. ##Element, used to accommodate ECharts charts:
1 |
|
1 |
|
Before displaying polar coordinate system data, we need to prepare the data to be displayed. Suppose we have a set of two-dimensional data. Each data consists of two values: angle and radius. It can be saved using the following data structure:
1 2 3 4 5 6 |
|
Next, We can use the
polar configuration item provided by ECharts to define a polar coordinate system. After initializing the ECharts instance, we can configure the relevant style and content of the chart by calling the
setOption method:
1 2 3 4 5 6 7 8 |
|
polar configuration item is an empty object
{}, means we use the default polar coordinate system settings.
seriesThe configuration item is used to configure the series type used by the chart. Here we use
'scatter'scatter chart series to display data. The value of the
coordinateSystem configuration item is
'polar', indicating that the series uses the polar coordinate system to display data.
dataThe configuration item is the data prepared previously.
In addition to the basic polar coordinate system configuration, we can also customize the style of the chart. The following are some commonly used custom configuration examples:
- Adjust the radius range of the polar coordinate system:
1 2 3 |
|
- Add axes and scales:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
|
- Customize the style of scatter plot:
1 2 3 4 5 6 7 8 9 10 |
|
This article introduces how to use the polar coordinate system to display data in ECharts, and provides some Specific code examples. I hope that through the introduction of this article, readers can master how to configure and use the polar coordinate system, and set custom styles according to actual needs. For more detailed configuration options, please refer to the ECharts official documentation.
The above is the detailed content of How to use polar coordinate system to display data in ECharts. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



ECharts and Java interface: How to quickly implement statistical charts such as line charts, bar charts, and pie charts. Specific code examples are required. With the advent of the Internet era, data analysis has become more and more important. Statistical charts are a very intuitive and powerful display method. Charts can display data more clearly, allowing people to better understand the connotation and patterns of the data. In Java development, we can use ECharts and Java interfaces to quickly display various statistical charts. ECharts is a software developed by Baidu

In today's context where data visualization is becoming more and more important, many developers hope to use various tools to quickly generate various charts and reports so that they can better display data and help decision-makers make quick judgments. In this context, using the Php interface and ECharts library can help many developers quickly generate visual statistical charts. This article will introduce in detail how to use the Php interface and ECharts library to generate visual statistical charts. In the specific implementation, we will use MySQL

The steps to draw a dashboard using ECharts and Python interface require specific code examples. Summary: ECharts is an excellent data visualization tool that can easily perform data processing and graphics drawing through the Python interface. This article will introduce the specific steps to draw a dashboard using ECharts and Python interface, and provide sample code. Keywords: ECharts, Python interface, dashboard, data visualization Introduction Dashboard is a commonly used form of data visualization, which uses

How to use stacked charts to display data in Highcharts Stacked charts are a common way of visualizing data, which can display the sum of multiple data series at the same time and display the contribution of each data series in the form of a bar chart. Highcharts is a powerful JavaScript library that provides a rich variety of charts and flexible configuration options to meet various data visualization needs. In this article, we will introduce how to use Highcharts to create a stacked chart and provide

How to use a map heat map to display city heat in ECharts ECharts is a powerful visual chart library that provides various chart types for developers to use, including map heat maps. Map heat maps can be used to show the popularity of cities or regions, helping us quickly understand the popularity or density of different places. This article will introduce how to use the map heat map in ECharts to display city heat, and provide code examples for reference. First, we need a map file containing geographic information, EC

How to use calendar charts to display time data in ECharts ECharts (Baidu’s open source JavaScript chart library) is a powerful and easy-to-use data visualization tool. It offers a variety of chart types, including line charts, bar charts, pie charts, and more. The calendar chart is a very distinctive and practical chart type in ECharts, which can be used to display time-related data. This article will introduce how to use calendar charts in ECharts and provide specific code examples. First, you need to use

ECharts and golang technical guide: Practical tips for creating various statistical charts, specific code examples are required. Introduction: In the field of modern data visualization, statistical charts are an important tool for data analysis and visualization. ECharts is a powerful data visualization library, while golang is a fast, reliable and efficient programming language. This article will introduce you to how to use ECharts and golang to create various types of statistical charts, and provide code examples to help you master this skill. Preparation

Does ECharts need to rely on jQuery? Detailed interpretation requires specific code examples. ECharts is an excellent data visualization library that provides a rich range of chart types and interactive functions and is widely used in web development. When using ECharts, many people will have a question: Does ECharts need to rely on jQuery? This article will explain this in detail and give specific code examples. First, to be clear, ECharts itself does not rely on jQuery;
