Series.cumSum

Return a cumulative sum of a series

danfo.Series.cumSum(options)

Parameters

Type

Description

Default

options

Object

inplace: Whether to perform the operation in-place or not.

{

inplace: false

}

Example

const dfd = require("danfojs-node")


let data1 = [10, 45, 56, 25, 23, 20, 10]
let sf1 = new dfd.Series(data1)

sf1.cumSum().print()

<!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@0.2.4/dist/index.min.js"></script>
    <title>Document</title>
</head>

<body>

    <script>

      //danfo is exposed on dfd namespace 
      s = new dfd.Series([1,2,3,4,5]) 

    </script>

</body>

</html>

╔═══╤═════╗
║ 0 │ 10  ║
╟───┼─────╢
║ 1 │ 55  ║
╟───┼─────╢
║ 2 │ 111 ║
╟───┼─────╢
║ 3 │ 136 ║
╟───┼─────╢
║ 4 │ 159 ║
╟───┼─────╢
║ 5 │ 179 ║
╟───┼─────╢
║ 6 │ 189 ║
╚═══╧═════╝

PreviousSeries.append NextSeries.cumMax

Last updated 3 years ago

Was this helpful?

Series.cumSum

Return a cumulative sum of a series

danfo.Series.cumSum(options)

Parameters

Type

Description

Default

options

Object

inplace: Whether to perform the operation in-place or not.

{

inplace: false

}

Example

const dfd = require("danfojs-node")


let data1 = [10, 45, 56, 25, 23, 20, 10]
let sf1 = new dfd.Series(data1)

sf1.cumSum().print()

<!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@0.2.4/dist/index.min.js"></script>
    <title>Document</title>
</head>

<body>

    <script>

      //danfo is exposed on dfd namespace 
      s = new dfd.Series([1,2,3,4,5]) 

    </script>

</body>

</html>

╔═══╤═════╗
║ 0 │ 10  ║
╟───┼─────╢
║ 1 │ 55  ║
╟───┼─────╢
║ 2 │ 111 ║
╟───┼─────╢
║ 3 │ 136 ║
╟───┼─────╢
║ 4 │ 159 ║
╟───┼─────╢
║ 5 │ 179 ║
╟───┼─────╢
║ 6 │ 189 ║
╚═══╧═════╝

PreviousSeries.append NextSeries.cumMax

Last updated 3 years ago

Was this helpful?