danfo.toCSV

Writes a DataFrame or Series to CSV format.

danfo.toCSV(data, options)

The toCSV function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.

Convert DataFrame to CSV string and return value

const dfd = require("danfojs-node")

let data = {
  Abs: [20.2, 30, 47.3],
  Count: [34, 4, 5],
  "country code": ["NG", "FR", "GH"],
};

let df = new dfd.DataFrame(data);

const csv = dfd.toCSV(df);
console.log(csv);

//output
Abs,Count,country code
20.2,34,NG
30,4,FR
47.3,5,GH

<!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@1.1.2/lib/bundle.min.js"></script>
    <title>Document</title>
</head>

<body>

    <script>

       let data = {
          Abs: [20.2, 30, 47.3],
          Count: [34, 4, 5],
          "country code": ["NG", "FR", "GH"],
        };
        
        let df = new dfd.DataFrame(data);
        
        const csv = df.toCSV();
        console.log(csv);
    </script>
</body>

</html>

Convert DataFrame to CSV string and write to file path

Writing a CSV file to a local file path is only supported in the Nodejs environment

const dfd = require("danfojs-node")

let data = {
    Abs: [20.2, 30, 47.3],
    Count: [34, 4, 5],
    "country code": ["NG", "FR", "GH"],
};

let df = new dfd.DataFrame(data);

dfd.toCSV(df, { filePath: "testOut.csv"});

Convert DataFrame to CSV string and download file in Client-side lib

You can automatically convert and download a CSV file in a browser environment, by specifying a fileName and setting download to true.

const dfd = require("danfojs")

let data = {
    Abs: [20.2, 30, 47.3],
    Count: [34, 4, 5],
    "country code": ["NG", "FR", "GH"],
};

let df = new dfd.DataFrame(data);

dfd.toCSV(df, { fileName: "testOut.csv", download: true});

Previousdanfo.readCSV NextSeries

Last updated 2 years ago

const dfd = require("danfojs-node") let data = { Abs: [20.2, 30, 47.3], Count: [34, 4, 5], "country code": ["NG", "FR", "GH"], }; let df = new dfd.DataFrame(data); const csv = dfd.toCSV(df); console.log(csv); //output Abs,Count,country code 20.2,34,NG 30,4,FR 47.3,5,GH

<!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@1.1.2/lib/bundle.min.js"></script> <title>Document</title> </head> <body> <script> let data = { Abs: [20.2, 30, 47.3], Count: [34, 4, 5], "country code": ["NG", "FR", "GH"], }; let df = new dfd.DataFrame(data); const csv = df.toCSV(); console.log(csv); </script> </body> </html>

const dfd = require("danfojs-node") let data = { Abs: [20.2, 30, 47.3], Count: [34, 4, 5], "country code": ["NG", "FR", "GH"], }; let df = new dfd.DataFrame(data); dfd.toCSV(df, { filePath: "testOut.csv"});

const dfd = require("danfojs") let data = { Abs: [20.2, 30, 47.3], Count: [34, 4, 5], "country code": ["NG", "FR", "GH"], }; let df = new dfd.DataFrame(data); dfd.toCSV(df, { fileName: "testOut.csv", download: true});