danfo.toJSON

danfo.toJSON(data, options)

Parameters

Type

Description

Default

data

Series or DataFrame

The Series or DataFrame to write to CSV

options

object, optional

Configuration object:

{

filePath: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version fileName: The name of the file to download as. Only needed in browser environment. format: The format of the JSON. Can be one of row or column.

}

{ format: "column" }

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

Convert DataFrame/Series to JSON 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 jsonObj = dfd.toJSON(df); //column format
console.log(jsonObj);

//output
[
  { Abs: 20.2, Count: 34, 'country code': 'NG' },
  { Abs: 30, Count: 4, 'country code': 'FR' },
  { Abs: 47.3, Count: 5, 'country code': 'GH' }
]

//row format
const jsonObj = dfd.toJSON(df, {
    format: "row"
});

console.log(jsonObj);
//output
{
  Abs: [ 20.2, 30, 47.3 ],
  Count: [ 34, 4, 5 ],
  'country code': [ 'NG', 'FR', '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@1.2.0/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.toJSON();
        console.log(csv);
    </script>
</body>

</html>

Convert DataFrame/Series to JSON and write to file path

Writing a DataFrame/Series as JSON, 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.toJSON(df, { filePath: "./testOutput.json" });

Convert DataFrame/Series to JSON and download file in browser

You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a fileName and setting download to true.

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

let df = new dfd.DataFrame(data);

dfd.toJSON(df, { fileName: "test_out.json", download: true });

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<!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> 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.toJSON(); 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.toJSON(df, { filePath: "./testOutput.json" });

let data = { Abs: [20.2, 30, 47.3], Count: [34, 4, 5], "country code": ["NG", "FR", "GH"], }; let df = new dfd.DataFrame(data); dfd.toJSON(df, { fileName: "test_out.json", download: true });