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.
Node.js
Browser
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/[email protected]/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>
Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
Node.js
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" });
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 });
Last modified 11mo ago