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danfo.StandardScaler

Standardize features by removing the mean and scaling to unit variance.

class danfo.StandScaler

danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample x is calculated as:

z = (x - u) / s

where u is the mean of the training samples or zero if with_mean=False, and s is the standard deviation of the training samples or one if with_std=False.

The API is similar to sklearn's StandardScalerarrow-up-right, and provides a fit and transform method.

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Examples

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Standardize Series Object

const dfd = require("danfojs-node")

let scaler = new dfd.StandardScaler()

let sf = new dfd.Series([100,1000,2000, 3000])
sf.print()

scaler.fit(sf)

let sf_enc = scaler.transform(sf)
sf_enc.print()

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Standardize DataFrame Object

See also MinMaxScaler

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