DataFrame.apply
Apply a function to each element or along a specified axis of a DataFrame.
danfo.DataFrame.apply(callable, options)
Parameters | Type | Description | Default |
|---|---|---|---|
callable | Function | Function to apply to each column or row | |
options | Object | axis: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
Note that the specified function passed to
apply will be called with an array of the values across the specified axis.Node
Browser
const dfd = require("danfojs-node")
let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
let cols = ["A", "B", "C"]
let df = new dfd.DataFrame(data, { columns: cols })
function sum_vals(col) {
return col.reduce((a, b) => a + b, 0);
}
let df_new = df.apply(sum_vals, { axis: 1 })
df_new.print()
Output
╔═══╤═════╗
║ 0 │ 6 ║
╟───┼─────╢
║ 1 │ 15 ║
╟── ─┼─────╢
║ 2 │ 90 ║
╟───┼─────╢
║ 3 │ 206 ║
╚═══╧═════╝
Node
Browser
const dfd = require("danfojs-node")
let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
let cols = ["A", "B", "C"]
let df = new dfd.DataFrame(data, { columns: cols })
function sum_vals(col) {
return col.reduce((a, b) => a + b, 0);
}
let df_new = df.apply(sum_vals, { axis: 0 })
df_new.print()
Output
╔═══╤═════╗
║ A │ 64 ║
╟───┼─────╢
║ B │ 126 ║
╟───┼─────╢
║ C │ 127 ║
╚═══╧═════╝
Last modified 1yr ago