With the continuous development of the Internet, more and more enterprises need to process a large amount of data, including a lot of tabular data, and the xls format is one of the common formats. As an efficient and reliable programming language, golang can also be used to process data in xls format. This article will introduce how to use golang to convert data in xls format.
- Install golang's xlsx library
To use golang to convert data in xls format, you first need to install golang's xlsx library. You can use the following command to install:
go get github.com/tealeg/xlsx
- Create a new xlsx file
When using golang Before converting data in xls format, you need to create a new xlsx file. You can use the following code to create:
file := xlsx.NewFile()
- Create a new worksheet
Create a new xlsx file, a new worksheet needs to be created. You can use the following code to create:
sheet, err := file.AddSheet("Sheet1")
- Add data to the worksheet
After you create a new worksheet, you can add data to it. Data can be added using the following code:
row := sheet.AddRow()
cell := row.AddCell()
cell.Value = "Hello, World!"
- Save xlsx file
After adding data to the worksheet, you need to save the file in xlsx format. The file can be saved using the following code:
err = file.Save("output.xlsx")
- Full code example
Here is one Complete golang code example for converting data in xls format:
package main
import (
"fmt" "github.com/tealeg/xlsx"
)
func main() {
file := xlsx.NewFile() sheet, err := file.AddSheet("Sheet1") if err != nil { fmt.Printf(err.Error()) return } row := sheet.AddRow() cell := row.AddCell() cell.Value = "Hello, World!" err = file.Save("output.xlsx") if err != nil { fmt.Printf(err.Error()) return } fmt.Printf("xlsx file saved")
}
- Summary
This article introduces how to use golang to convert data in xls format. First you need to install golang's xlsx library, then create a new xlsx file and add data to it. Finally, save the file in xlsx format. As an efficient and reliable programming language, golang can greatly facilitate programmers to process large amounts of data, including data in xls format.
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