


ECharts and golang technical guide: practical tips for creating various statistical charts
Dec 17, 2023 pm 09:56 PMECharts and golang technical guide: Practical tips for creating various statistical charts, specific code examples are required
Introduction:
In the field of modern data visualization, statistics 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 work:
First, you need to install the relevant libraries of ECharts. You can install ECharts in golang with the following command:1
2
3
go get -u github.com/go-echarts/go-echarts
go get -u github.com/Unknwon/com
go get -u github.com/gin-gonic/gin
Copy after login Create a histogram:
Histogram is a common statistical chart used to display data distribution. The following is a sample code for creating a bar chart using ECharts and golang:1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
package main
import (
"github.com/gin-gonic/gin"
"github.com/go-echarts/go-echarts/v2/charts"
"github.com/go-echarts/go-echarts/v2/opts"
"net/http"
)
func main() {
r := gin.Default()
r.GET("/", func(c *gin.Context) {
bar := charts.NewBar()
bar.SetGlobalOptions(charts.TitleOpts{Title: "柱状图示例"})
bar.AddXAxis([]string{"A", "B", "C", "D"}).
AddYAxis("Series A", []opts.BarData{{Value: 10}, {Value: 20}, {Value: 30}, {Value: 40}})
bar.Render(c.Writer)
})
http.ListenAndServe(":8080", r)
}
Copy after loginCreating a line chart:
Line charts are usually used to observe trends and changes in data. The following is a sample code for creating a line chart using ECharts and golang:1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
package main
import (
"github.com/gin-gonic/gin"
"github.com/go-echarts/go-echarts/v2/charts"
"github.com/go-echarts/go-echarts/v2/opts"
"net/http"
)
func main() {
r := gin.Default()
r.GET("/", func(c *gin.Context) {
line := charts.NewLine()
line.SetGlobalOptions(charts.TitleOpts{Title: "折线图示例"})
line.AddXAxis([]string{"A", "B", "C", "D"}).
AddYAxis("Series A", []opts.LineData{{Value: 10}, {Value: 20}, {Value: 30}, {Value: 40}})
line.Render(c.Writer)
})
http.ListenAndServe(":8080", r)
}
Copy after loginCreating a pie chart:
Pie charts are used to display the relative proportions of data. The following is a sample code for creating a pie chart using ECharts and golang:1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
package main
import (
"github.com/gin-gonic/gin"
"github.com/go-echarts/go-echarts/v2/charts"
"github.com/go-echarts/go-echarts/v2/opts"
"net/http"
)
func main() {
r := gin.Default()
r.GET("/", func(c *gin.Context) {
pie := charts.NewPie()
pie.SetGlobalOptions(charts.TitleOpts{Title: "饼图示例"})
pie.Add("Series", []opts.PieData{{Value: 10, Name: "A"}, {Value: 20, Name: "B"}, {Value: 30, Name: "C"}, {Value: 40, Name: "D"}})
pie.Render(c.Writer)
})
http.ListenAndServe(":8080", r)
}
Copy after loginCreating a radar chart:
Radar charts are often used to display data comparisons in multiple dimensions. The following is a sample code for creating a radar chart using ECharts and golang:1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
package main
import (
"github.com/gin-gonic/gin"
"github.com/go-echarts/go-echarts/v2/charts"
"github.com/go-echarts/go-echarts/v2/opts"
"net/http"
)
func main() {
r := gin.Default()
r.GET("/", func(c *gin.Context) {
radar := charts.NewRadar()
radar.SetGlobalOptions(charts.TitleOpts{Title: "雷达图示例"})
radar.Add("Series A", []opts.RadarIndicator{{Text: "A", Max: 100}, {Text: "B", Max: 100}, {Text: "C", Max: 100}, {Text: "D", Max: 100}}).
Add("Series B", []opts.RadarIndicator{{Text: "E", Max: 100}, {Text: "F", Max: 100}, {Text: "G", Max: 100}, {Text: "H", Max: 100}})
radar.Render(c.Writer)
})
http.ListenAndServe(":8080", r)
}
Copy after login
Summary:
Through this article, you have learned how to use ECharts and golang to create various types of statistical charts . We provide code examples for bar charts, line charts, pie charts, and radar charts to help you get started with this technique. You can customize and extend it according to your needs to develop more interesting charts. I hope this article will be helpful to you and bring you more inspiration and creativity. I wish you more success on the road to data visualization!
The above is the detailed content of ECharts and golang technical guide: practical tips for creating various statistical charts. For more information, please follow other related articles on the PHP Chinese website!

Hot Article

Hot tools Tags

Hot Article

Hot Article Tags

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

How to safely read and write files using Golang?

How to configure connection pool for Golang database connection?

Similarities and Differences between Golang and C++

How steep is the learning curve of golang framework architecture?

How to generate random elements from list in Golang?

Comparison of advantages and disadvantages of golang framework

What are the best practices for error handling in Golang framework?

golang framework document usage instructions
