DataFrame.std

Return sample standard deviation over requested axis.

danfo.DataFrame.std(options)

Parameters	Type	Description	Default
options	Object	axis: 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1	{ axis: 1 }

Examples

Calculates the standard deviation of values along default axis 1 (column)

Node

const dfd = require("danfojs-node")
let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
let cols = ["A", "B", "C"]

let df = new dfd.DataFrame(data, { columns: cols })
df.std().print()

Browser

Output

╔═══╤════════════════════╗
║ 0 │ 8.504900548115383  ║
╟───┼────────────────────╢
║ 1 │ 7.094598884597588  ║
╟───┼────────────────────╢
║ 2 │ 19.697715603592208 ║
╟───┼────────────────────╢
║ 3 │ 47.37439533475159  ║
╚═══╧════════════════════╝

Calculates the standard deviation of values along row axis (0)

Node

const dfd = require("danfojs-node")
data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
cols = ["A", "B", "C"]

let df = new dfd.DataFrame(data)
df.std({axis:0}).print()

Browser

Output

╔═══╤══════════════════════╗
║   │ 0                    ║
╟───┼──────────────────────╢
║ 0 │ 8.504900548115383    ║
╟───┼──────────────────────╢
║ 1 │ 7.094598884597588    ║
╟───┼──────────────────────╢
║ 2 │ 19.697715603592208   ║
╟───┼──────────────────────╢
║ 3 │ 47.37439533475159    ║
╚═══╧══════════════════════╝