Quick Start: Use Go language functions to implement simple data visualization chart display

Quick Start: Use Go language functions to implement simple data visualization chart display

As a powerful and concise programming language, Go (also known as Golang) has rapidly become popular in recent years. Its fast compilation, efficient execution, and concise syntax make Go one of the preferred languages ​​for many developers. This article will introduce how to use Go language functions to implement simple data visualization chart display, allowing you to get started quickly.

First, we need to install the Go language development environment. You can download the installer suitable for your operating system from the official website (https://golang.org/) and follow the installation wizard to install it. After the installation is complete, enter the command "go version". If the installed Go version number can be displayed correctly, the installation is successful.

Next, we need to choose a suitable chart library. The Go language has many excellent open source chart libraries to choose from, among which the more popular ones include GoChart, Echarts, Plot, and Gonum. In this article, we will use GoChart library for data visualization.

First, execute the following command in the terminal to install the GoChart library:

go get -u github.com/wcharczuk/go-chart

After the installation is complete, we can create a new Go file and introduce the GoChart library:

package main

import (
    "github.com/wcharczuk/go-chart"
    "os"
)

Next, we use Go language functions to generate some test data. In this example, we will create a slice of 10 random integers:

func generateTestData() []int {
    var data []int
    for i := 0; i < 10; i++ {
        data = append(data, rand.Intn(100))
    }
    return data
}

Now, we can use the GoChart library to create a simple histogram. Here is an example function that takes a slice of data and generates a histogram and saves it as a PNG file:

func createBarChart(data []int, filename string) {
    graph := chart.BarChart{
        Title: "Sample Bar Chart",
        Background: chart.Style{
            Padding: chart.Box{
                Top: 40,
            },
        },
        Height: 512,
        Width:  1024,
        Bars: []chart.Value{
            {Value: float64(data[0]), Label: strconv.Itoa(data[0])},
            {Value: float64(data[1]), Label: strconv.Itoa(data[1])},
            {Value: float64(data[2]), Label: strconv.Itoa(data[2])},
            {Value: float64(data[3]), Label: strconv.Itoa(data[3])},
            {Value: float64(data[4]), Label: strconv.Itoa(data[4])},
            {Value: float64(data[5]), Label: strconv.Itoa(data[5])},
            {Value: float64(data[6]), Label: strconv.Itoa(data[6])},
            {Value: float64(data[7]), Label: strconv.Itoa(data[7])},
            {Value: float64(data[8]), Label: strconv.Itoa(data[8])},
            {Value: float64(data[9]), Label: strconv.Itoa(data[9])},
        },
    }

    f, _ := os.Create(filename)
    defer f.Close()
    graph.Render(chart.PNG, f)
}

In the main function, we call the generate test data function and pass the data to create the histogram Function:

func main() {
    data := generateTestData()
    createBarChart(data, "barchart.png")
}

Finally, we can run the program in the terminal and find the generated PNG file in the current directory:

go run main.go

Through the above code example, we can see how to use the Go language Function implements simple data visualization chart display. The GoChart library provides a wealth of chart types and configuration options that you can adjust and extend according to your needs. I hope this article can help you quickly get started with Go language data visualization and develop more elegant and powerful applications.

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