Module basic 

Basic data operations for dsq

This module provides fundamental operations like selection, filtering, mapping, and basic transformations that form the building blocks of more complex data processing pipelines.

Structs

SortOptions

Sort options for specifying column and direction

Functions

add_column

Add a column to a Value

cast

Cast column types

count

Count operation on Value

drop

Drop columns

drop_columns

Drop columns from a Value

drop_nulls

Drop null values

explode

Explode list columns into separate rows

fill_null

Fill null values with a constant

filter

Filter rows based on a predicate

filter_rows

Filter rows based on a predicate function

filter_values

Filter values based on a predicate function

head

Head operation on Value

head_df

Get the first n rows from a DataFrame

map_column

Apply a function to each element in a column

melt

Melt DataFrame from wide to long format

pivot

Pivot DataFrame from long to wide format (placeholder)

rename

Rename columns

rename_columns

Rename columns in a Value

reverse

Reverse operation on Value

sample

Sample rows from DataFrame

select

Select specific columns from a DataFrame

select_by_index

Select columns by index

select_columns

Select columns from a Value (works with DataFrame, Array, Object)

slice

Slice operation on Value

slice_df

Get a slice of rows from a DataFrame

sort

Sort DataFrame by columns

sort_by_columns

Sort by columns with sort options

tail

Tail operation on Value

tail_df

Get the last n rows from a DataFrame

transpose

Transpose DataFrame

unique

Unique operation on Value

unique_df

Get unique rows from DataFrame

with_column

Add a new column with a constant value