Sample  type: sample

class lumen.transforms.base.Sample(*, frac, n, replace, controls, name)

Sample returns a random sample of items.

df.sample(n=<n>, frac=<frac>, replace=<replace>)

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Parameters

frac

type: Number
default: None
bounds: (0, 1)
Fraction of axis items to return.

n

type: int
default: None
bounds: None
Number of items to return.

replace

type: bool
default: False
Sample with or without replacement.

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Methods

Sample.apply(table: DataFrame) → DataFrame

Given a table transform it in some way and return it.

Parameters:

table (DataFrame) – The queried table as a DataFrame.

Returns:

A DataFrame containing the transformed data.

Return type:

DataFrame

Sample.to_spec(context: Dict[str, Any] | None = None) → Dict[str, Any]

Exports the full specification to reconstruct this component.

Return type:

Resolved and instantiated Component object