danfo.readCSV

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

danfo.readCSV(source, options)

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/danfojs@1.1.2/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/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 csvFile = inputFile.files[0]
            dfd.readCSV(csvFile).then((df) => {
                df.print()
            })
        })
         
    </script>
</body>

</html>

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Last updated 2 years ago

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/danfojs@1.1.2/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>

<!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 csvFile = inputFile.files[0] dfd.readCSV(csvFile).then((df) => { df.print() }) }) </script> </body> </html>