danfo.readCSV

Reads a comma-separated values (CSV) file into DataFrame. Also supports the reading of CSV files in chunks.

danfo.readCSV(source, options)

Parameters

Type

Description

Default

source

File object, File path, URL

Any valid string path is acceptable. The string could be a URL or a valid local file path.

A browser input file object is also supported.

options

object, optional

Supports all Papaparse config parameters. See https://www.papaparse.com/docs#config.

{

header: true

}

The readCSV method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.

Reading files from local disk

By specifying a valid file path, you can load CSV files from local disk:

const dfd = require("danfojs-node")

dfd.readCSV("./user_names.csv") //assumes file is in CWD
  .then(df => {
  
   df.head().print()

  }).catch(err=>{
     console.log(err);
  })

Reading files from a URL

By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:

const dfd = require("danfojs-node")

dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
  .then(df => {
  
   df.head().print()

  }).catch(err=>{
     console.log(err);
  })

<!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.plot.ly/plotly-2.2.0.min.js"></script> 
     <script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/bundle.min.js"></script>
    <title>Document</title>
</head>

<body>

    <div id="plot_div"></div>
    <script>

         dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
            .then(df => {

                //do something like display descriptive statistics
                df.describe().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 CSV files in the browser in DataFrames/Series

<!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>
    <input type="file" id="file" name="file">
    <script>
            
        inputFile.addEventListener("change", async () => {
            const csvFile = inputFile.files[0]
            dfd.readCSV(csvFile).then((df) => {
                df.print()
            })
        })
         
    </script>
</body>

</html>

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Last updated 10 months ago

hashtagReading files from local disk

hashtagReading files from a URL

hashtagReading an input file object in the browser

Reading files from local disk

Reading files from a URL

Reading an input file object in the browser