danfo.readExcel

Reads a JSON file from local or remote location into a DataFrame.

danfo.readExcel(source, options)

Parameters

Type

Description

source

string

source : string, URL or local file path to Excel file.

options

Object

{

sheet : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet. method: The HTTP method to use.

headers: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers.

frameConfig: Optional arguments passed when creating the DataFrame. e.g column names, index. etc.

}

Example

The readExcel method can read excel files saved on a local disk, or over the internet.

const dfd = require("danfojs-node")
const path = require("path")

let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")

async function load_process_data() {
    let df = await dfd.readExcel(local_xcel)
    df.head().print()
}

load_process_data()

<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
</head>

<body>

    <script>

        const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
        dfd.readExcel(remote_url).then(df => {
            df.head().print()
        })

         
    </script>
</body>

</html>

Reading an input file object in the browser

By specifying a valid , you can load Excel files in the browser in DataFrames/Series

<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
    <title>Document</title>
</head>

<body>
    <input type="file" id="file" name="file">
    <script>
        const inputFile = document.querySelector('#file')
        
        inputFile.addEventListener("change", async () => {
            const excelFile = inputFile.files[0]
            dfd.readExcel(excelFile).then((df) => {
                df.print()
            })
        })
         
    </script>
</body>

</html>

PreviousInput/Output Nextdanfo.toExcel

Last updated 1 month ago

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const dfd = require("danfojs-node") const path = require("path") let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs") async function load_process_data() { let df = await dfd.readExcel(local_xcel) df.head().print() } load_process_data()

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script> <title>Document</title> </head> <body> <script> const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls'; dfd.readExcel(remote_url).then(df => { df.head().print() }) </script> </body> </html>

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script> <title>Document</title> </head> <body> <input type="file" id="file" name="file"> <script> const inputFile = document.querySelector('#file') inputFile.addEventListener("change", async () => { const excelFile = inputFile.files[0] dfd.readExcel(excelFile).then((df) => { df.print() }) }) </script> </body> </html>