# DataFrame.toJSON
{% hint style="danger" %}
Deprecated in v1.1.0: Use the [dfd.toJSON](https://danfo.jsdata.org/api-reference/input-output/danfo.to_json) function directly instead
{% endhint %}
> DataFrame.toJSON(options)
| | | | |
| -------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
| **Parameters** | Type | Description | Default |
| **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
{% tabs %}
{% tab title="Node.js" %}
```javascript
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 = df.toJSON(); //defaults to 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 jsonObjRow = df.toJSON({
format: "row"
});
console.log(jsonObjRow);
//output
{
Abs: [ 20.2, 30, 47.3 ],
Count: [ 34, 4, 5 ],
'country code': [ 'NG', 'FR', 'GH' ]
}
```
{% endtab %}
{% tab title="Browser" %}
```markup
Document
```
{% endtab %}
{% endtabs %}
### Convert DataFrame/Series to JSON and write to local file path
Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
{% tabs %}
{% tab title="Node.js" %}
```javascript
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);
df.toJSON({ filePath: "./testOutput.json" });
```
{% endtab %}
{% endtabs %}
### 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**.
```javascript
let data = {
Abs: [20.2, 30, 47.3],
Count: [34, 4, 5],
"country code": ["NG", "FR", "GH"],
};
let df = new dfd.DataFrame(data);
df.toJSON({ fileName: "test_out.json", download: true });
```