danfo.MinMaxScaler

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danfo.MinMaxScaler
Transform features by scaling each feature to a range of max and min values.
class danfo.MinMaxScaler [source]
danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
This transformation is often used as an alternative to zero mean, unit variance scaling like Standardscaler.
The API is similar to sklearn's MinMaxScaler, and provides a fit and transform method. 
Examples
Standardize DataFrame Object using MinMaxScaler
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const dfd = require("danfojs-node")
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let scaler = new dfd.MinMaxScaler()
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​
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let data = [[100,1000,2000, 3000] ,
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            [20, 30, 20, 10],
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            [1, 1, 1, 0]]
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​
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let df = new dfd.DataFrame(data)
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df.print()
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scaler.fit(df)
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let df_enc = scaler.transform(df)
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df_enc.print()
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Output
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╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
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║   │ 0                 │ 1                 │ 2                 │ 3                 ║
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╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
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╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 1 │ 20                │ 30                │ 20                │ 10                ║
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╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
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╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
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 Shape: (3,4) 
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╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
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║   │ 0                 │ 1                 │ 2                 │ 3                 ║
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╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 0 │ 1                 │ 1                 │ 1                 │ 1                 ║
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╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 1 │ 0.19191919267...  │ 0.02902902849...  │ 0.00950475223...  │ 0.00333333341...  ║
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╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
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╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
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Standardize Series Object Using MinMaxScaler
Node
Browser
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const dfd = require("danfojs-node")
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let scaler = new dfd.MinMaxScaler()
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​
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let data = [[100,1000,2000, 3000] ,
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            [20, 30, 20, 10],
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            [1, 1, 1, 0]]
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​
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let df = new dfd.DataFrame(data)
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let sf = df.iloc({columns: ["0"]})
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​
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scaler.fit(sf)
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​
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let df_enc = scaler.transform(sf)
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df_enc.print()
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​
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Output
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 Shape: (3,1) 
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╔═══╤═══════════════════╗
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║   │ 0                 ║
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╟───┼───────────────────╢
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║ 0 │ 1                 ║
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╟───┼───────────────────╢
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║ 1 │ 0.19191919267...  ║
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╟───┼───────────────────╢
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║ 2 │ 0                 ║
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╚═══╧═══════════════════╝
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See also MinMaxScaler​
danfo.StandardScaler
danfo.LabelEncoder
Last modified 1yr ago
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Contents
Examples
Standardize DataFrame Object using MinMaxScaler
Standardize Series Object Using MinMaxScaler