axis: 0 or 1. If 0, compute the power column-wise, if 1, row-wise
{axis: 1}
Examples
Apply a function to each element in a DataFrame
Note that the specified function passed to applyMap will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the function.
const dfd = require("danfojs-node")
let data = {
short_name: ["NG", "GH", "EGY", "SA"],
long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
}
let df = new dfd.DataFrame(data)
function lower(x) {
return `${x}`.toLowerCase()
}
let df_new = df.apply_map(lower)
df_new.print()
╔════════════╤═══════════════════╤═══════════════════╗
║ │ short_name │ long_name ║
╟────────────┼───────────────────┼───────────────────╢
║ 0 │ ng │ nigeria ║
╟────────────┼───────────────────┼───────────────────╢
║ 1 │ gh │ ghana ║
╟────────────┼───────────────────┼───────────────────╢
║ 2 │ egy │ eqypt ║
╟────────────┼───────────────────┼───────────────────╢
║ 3 │ sa │ south africa ║
╚════════════╧═══════════════════╧═══════════════════╝