API reference Input/Output danfo.readJSON Reads a JSON file into DataFrame.
danfo.readJSON(source, options)
Input file object, string file** **path or URL
Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported
An input file object is also supported in the browser.
Configuration options for reading JSON files. Supported options:
{
method: The HTTP method to use.
}
The readJSON method can read JSON files from a local disk, over the internet, or directly from input file objects.
Reading JSON files from local disk
Node.js
Copy const dfd = require ( "danfojs-node" )
dfd .readJSON ( "./user_names.json" )
.then (df => {
df .head () .print ()
}) .catch (err => {
console .log (err);
}) Reading JSON files from a URL
By specifying a valid URL, you can load JSON files from any location:
Node.js Browser
Copy const dfd = require ( "danfojs-node" )
dfd .readJSON ( "https://raw.githubusercontentdatasets/master/finance-charts-apple.json" )
.then (df => {
df .head () .print ()
}) .catch (err => {
console .log (err);
})
Copy <!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>
dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.json")
.then(df => {
df.head().print()
}).catch(err=>{
console.log(err);
})
</script>
</body>
</html> Reading an input file object in the browser
By specifying a valid file object , you can load a JSON file in the browser:
Browser
Copy <!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>
<input type="file" id="file" name="file">
<script>
inputFile.addEventListener("change", async () => {
const jsonFile = inputFile.files[0]
dfd.readJSON(jsonFile).then((df) => {
df.print()
})
})
</script>
</body>
</html> 