From beginner to proficient: Use ECharts and golang to create professional-level statistical charts-Golang-php.cn

Home

Backend Development

Golang

From beginner to proficient: Use ECharts and golang to create professional-level statistical charts

Dec 17, 2023 am 08:54 AM

getting Started golang echarts

From beginner to proficient: Use ECharts and golang to create professional-level statistical charts

From entry to proficiency: Use ECharts and golang to create professional-level statistical charts

Abstract: Statistical charts are an important tool for data visualization, which can make complex data become Intuitive and easy to understand. This article introduces how to use ECharts and golang to create professional-level statistical charts, including the basic settings of charts, import and display of data, and adjustment of chart styles. At the same time, specific code examples are provided to help readers better understand and apply.

1. Introduction
Statistical charts play a vital role in the field of data analysis and visualization. It can help us understand the data more intuitively and discover patterns and trends in the data. ECharts is an open source JavaScript chart library that is highly flexible and customizable and can be used to create various types of statistical charts. Golang is a powerful programming language through which we can manipulate data, process logic, and pass data to the front-end page for display.

2. Environment setup
Before we start making statistical charts, we need to set up the corresponding development environment. First, you need to install and configure the golang development environment. Secondly, you need to import the relevant files of ECharts. You can download the source code of ECharts or directly import the ECharts files on CDN.

3. Basic settings of the chart
In golang, we can use the following code example to create a simple web page and introduce the relevant scripts and style files of ECharts.

package main

import (
    "fmt"
    "net/http"
)

func main() {
    http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
        fmt.Fprintf(w, `
            <html>
                <head>
                    <title>统计图表示例</title>
                    <script src="echarts.min.js"></script>
                </head>
                <body>
                    <div id="chart" style="width: 600px; height: 400px;"></div>
                    <script type="text/javascript">
                        var chart = echarts.init(document.getElementById('chart'));
                        // 在这里填写具体的图表配置和数据
                        chart.setOption({ /* 具体配置 */ });
                    </script>
                </body>
            </html>
        `)
    })

    http.ListenAndServe(":8080", nil)
}

Copy after login

In this example, we create a web page with a div element with an id of "chart" to display our statistical charts. We build a simple web server by using golang's http library in the background, and return the web page to the browser for display.

4. Data import and display
In the code of the previous step, we can see chart.setOption({ /* specific configuration*/ });This line of code , which is the configuration and data used to set up the chart. ECharts supports a variety of chart types, such as line charts, bar charts, pie charts, etc. We can choose the corresponding chart type according to our needs and provide data for display.

Take the line chart as an example. Here is a simple code example:

var option = {
    title: {
        text: '折线图示例'
    },
    xAxis: {
        data: ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
    },
    yAxis: {},
    series: [{
        name: '销量',
        type: 'line',
        data: [5, 20, 36, 10, 10, 20, 5]
    }]
};

chart.setOption(option);

Copy after login

In this example, we create a line chart and provide the data for the x-axis and the y-axis. data. In this way, the corresponding line chart can be drawn based on these data.

5. Adjustment of chart style
In addition to importing and displaying data, we can also adjust the style of the chart to make it more beautiful and easier to read. ECharts provides a wealth of configuration options that can be used to adjust chart colors, fonts, label display, etc.

The following is a simple code example of style adjustment:

var option = {
    title: {
        text: '折线图示例',
        textStyle: {
            color: '#666',
            fontSize: 16
        }
    },
    xAxis: {
        data: ['周一', '周二', '周三', '周四', '周五', '周六', '周日'],
        axisLine: {   //设置x轴的样式
            lineStyle: {
                color: '#999'
            }
        }
    },
    yAxis: {
        axisLine: {    //设置y轴的样式
            lineStyle: {
                color: '#999'
            }
        }
    },
    series: [{
        name: '销量',
        type: 'line',
        data: [5, 20, 36, 10, 10, 20, 5],
        itemStyle: {    //设置折线的样式
            color: '#f00'
        }
    }]
};

chart.setOption(option);

Copy after login

In this example, we configure the relevant style options to make the title color #666 , the font size is 16, the color of the x-axis and y-axis markings is #999, and the color of the polyline is #f00.

6. Summary
This article introduces how to use ECharts and golang to create professional-level statistical charts. Through basic settings, data import and display, and adjustment of chart styles, we can create various types of beautiful statistical charts. At the same time, specific code examples are provided to help readers better understand and apply.

I hope this article will be helpful to readers in using ECharts and golang to create statistical charts. I hope readers can use these tools to create more beautiful and useful statistical charts.

The above is the detailed content of From beginner to proficient: Use ECharts and golang to create professional-level statistical charts. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website

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