DataFrame Library API Reference

Serie

A column of data with elements of the same type, providing the fundamental building block of the library.

Dataframe

A collection of named Series that can have different element types.

filter

Creates a new Serie containing only elements that satisfy a predicate function.

find

Finds the first element that matches a predicate function.

forEach

Iterates over each element in a Serie to perform an operation without changing the Serie.

map

Transforms each element in a Serie using a callback function, returning a new Serie.

parallel_map

Transforms elements in parallel using multiple threads for better performance.

print

Outputs Serie contents to the console for debugging and inspection.

reduce

Reduces a Serie to a single value by applying a function against an accumulator.

reject

Creates a new Serie excluding elements that satisfy a predicate function.

where

Alternative to filter for selecting elements that match specified criteria.

compose

Creates a new function by composing multiple functions together.

if_then_else

Conditionally transforms elements based on a predicate with true/false paths.

map_if

Conditionally applies a transformation to elements that match a condition.

memoise

Caches function results to avoid redundant computation on repeated calls.

pipe

Composes multiple operations into a reusable processing pipeline.

switch

Selects from multiple transformations based on element values.

whenAll

Executes a function when all conditions are satisfied.

for

Creates a Serie by applying a function to each index in a range.

ones

Creates a Serie filled with ones of a specified length.

range

Creates a Serie with a sequence of numbers in a specified range.

zeros

Creates a Serie filled with zeros of a specified length.

chain

Combines multiple Series sequentially into a single Serie.

concat

Concatenates multiple Series into a single Serie.

chunk

Splits a Serie into chunks of a specified size.

flatMap

function applies a transformation to each element in a Serie, where the transformation returns a Serie for each element, and then flattens all those Series into a single Serie. It's essentially a combination of map followed by a flatten operation.

flatten

Converts a Serie of arrays or nested Series into a flat Serie.

merge

Combines multiple Series with a custom merge function.

partition

Divides a Serie into two Series based on a predicate function.

skip

Creates a Serie that skips the first n elements from the source Serie.

slice

Creates a Serie from a subset of elements specified by start and end indices.

split

Divides a Serie into multiple equal-sized parts.

take

Creates a Serie with the first n elements from the source Serie.

unzip

Separates a Serie of tuples into multiple Series.

zip

Combines elements from multiple Series into tuples based on position.

sort

Creates a sorted copy of a Serie in ascending or descending order.

orderBy

Sorts a Serie based on a key function that determines the sorting order.

groupBy

Groups Serie elements by a key function and returns a map of keys to Series.

unique

Creates a Serie with duplicate elements removed.

format

Converts a Serie to a formatted string representation with customizable options.

CSV

JSON

Binary

RandomForest

The RandomForest class provides an implementation of the Random Forest algorithm integrated with the DataFrame library.

Lime

LIME (Local Interpretable Model-agnostic Explanations) is a technique designed to explain the predictions of any machine learning model by approximating it locally with an interpretable model.

Manager

Decomposer

Coordinates

Components