DataFrame.sample
Return a random sample of rows from DataFrame.
danfo.DataFrame.sample(num, options)
Parameters
Type
Description
Default
num
Integer
The number of rows to return. Defaults to 5, which shuffles and return all rows.
5
options
Object
seed: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.
{ seed: 1 }
Sample a DataFrame randomly
Node
Browser
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const dfd = require("danfojs-node")
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async function sample_data() {
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let data = {
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Name: ["Apples", "Mango", "Banana", "Pear"],
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Count: [21, 5, 30, 10],
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Price: [200, 300, 40, 250],
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};
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let df = new dfd.DataFrame(data);
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let s_df = await df.sample(2);
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s_df.print();
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}
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sample_data()
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Output
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╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
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║ │ Name │ Count │ Price ║
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╟───┼───────────────────┼───────────────────┼───────────────────╢
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║ 0 │ Apples │ 21 │ 200 ║
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╟───┼───────────────────┼───────────────────┼───────────────────╢
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║ 2 │ Banana │ 30 │ 40 ║
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╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
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Sample a DataFrame randomly with seed
By setting
seed when using sample, you can ensure that the random sampling is reproducible.Node
Browser
1
const dfd = require("danfojs-node")
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async function load_data() {
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let data = {
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Name: ["Apples", "Mango", "Banana", "Pear"],
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Count: [21, 5, 30, 10],
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Price: [200, 300, 40, 250],
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};
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let df = new dfd.DataFrame(data);
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let s_df = await df.sample(3, { seed: 2 });
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s_df.print();
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}
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load_data()
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1
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Output
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╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
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║ │ Name │ Count │ Price ║
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╟────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 1 │ Mango │ 5 │ 300 ║
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╟────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 2 │ Banana │ 30 │ 40 ║
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╟────────────┼───────────────────┼───────────────────┼───────────────────╢
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║ 0 │ Apples │ 21 │ 200 ║
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╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
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Last modified 3mo ago
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