datafort_sorting – DataFort

DataFort Sorting Module

This module provides standalone functions for sorting and ranking operations on data frames. All functions take a data_frame as the first argument instead of being type-bound procedures.

Functions

Sorting Functions

df_sort_by_column(df, col_index, ascending) - Sort data frame by column values

Sorting Check Functions

df_is_sorted_real(df, col_index, ascending) - Check if real column is sorted
df_is_sorted_integer(df, col_index, ascending) - Check if integer column is sorted

Ranking Functions

df_rank_real(df, col_index, ascending) - Get ranks for real column values
df_rank_integer(df, col_index, ascending) - Get ranks for integer column values

Uses

Functions

public function df_is_sorted_integer(df, col_index, ascending) result(sorted)

Check if an integer column is sorted

Arguments

Type	Intent	Optional		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
logical,	intent(in),	optional	::	ascending

Return Value logical

public function df_is_sorted_real(df, col_index, ascending) result(sorted)

Check if a real column is sorted

Arguments

Type	Intent	Optional		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
logical,	intent(in),	optional	::	ascending

Return Value logical

public function df_rank_integer(df, col_index, ascending) result(ranks)

Rank values in an integer column

Arguments

Type	Intent	Optional		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
logical,	intent(in),	optional	::	ascending

Return Value integer(kind=ik), dimension(:), allocatable

public function df_rank_real(df, col_index, ascending) result(ranks)

Rank values in a real column

Arguments

Type	Intent	Optional		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
logical,	intent(in),	optional	::	ascending

Return Value integer(kind=ik), dimension(:), allocatable

private function partition_indices_integer(values, indices, low, high, ascending) result(pivot_idx)

Partition function for integer value quicksort

Arguments

Type	Intent	Attributes		Name
integer(kind=ik),	intent(in),	dimension(:)	::	values
integer,	intent(inout),	dimension(:)	::	indices
integer,	intent(in)		::	low
integer,	intent(in)		::	high
logical,	intent(in)		::	ascending

Return Value integer

private function partition_indices_real(values, indices, low, high, ascending) result(pivot_idx)

Partition function for real value quicksort

Arguments

Type	Intent	Attributes		Name
real(kind=rk),	intent(in),	dimension(:)	::	values
integer,	intent(inout),	dimension(:)	::	indices
integer,	intent(in)		::	low
integer,	intent(in)		::	high
logical,	intent(in)		::	ascending

Return Value integer

Subroutines

public subroutine df_sort_by_column(df, col_index, ascending)

Sort data frame by column values

Arguments

Type	Intent	Optional		Name
type(data_frame),	intent(inout)		::	df
integer,	intent(in)		::	col_index
logical,	intent(in),	optional	::	ascending

private recursive subroutine quicksort_indices_integer(values, indices, low, high, ascending)

Quicksort implementation for integer value indices

Arguments

Type	Intent	Attributes		Name
integer(kind=ik),	intent(in),	dimension(:)	::	values
integer,	intent(inout),	dimension(:)	::	indices
integer,	intent(in)		::	low
integer,	intent(in)		::	high
logical,	intent(in)		::	ascending

private recursive subroutine quicksort_indices_real(values, indices, low, high, ascending)

Quicksort implementation for real value indices

Arguments

Type	Intent	Attributes		Name
real(kind=rk),	intent(in),	dimension(:)	::	values
integer,	intent(inout),	dimension(:)	::	indices
integer,	intent(in)		::	low
integer,	intent(in)		::	high
logical,	intent(in)		::	ascending

private subroutine reorder_all_columns(df, indices)

Reorder all columns based on index array

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
integer,	intent(in),		dimension(:)	::	indices

private subroutine sort_indices_integer(values, indices, ascending)

Sort indices array based on integer values

Arguments

Type	Intent	Attributes		Name
integer(kind=ik),	intent(in),	dimension(:)	::	values
integer,	intent(inout),	dimension(:)	::	indices
logical,	intent(in)		::	ascending

private subroutine sort_indices_real(values, indices, ascending)

Sort indices array based on real values

Arguments

Type	Intent	Attributes		Name
real(kind=rk),	intent(in),	dimension(:)	::	values
integer,	intent(inout),	dimension(:)	::	indices
logical,	intent(in)		::	ascending

datafort_sorting Module

Contents

Functions

Subroutines

Functions

Sorting Functions

Sorting Check Functions

Ranking Functions

Uses

Functions

public function df_is_sorted_integer(df, col_index, ascending) result(sorted)

Arguments

Return Value logical

public function df_is_sorted_real(df, col_index, ascending) result(sorted)

Arguments

Return Value logical

public function df_rank_integer(df, col_index, ascending) result(ranks)

Arguments

Return Value integer(kind=ik), dimension(:), allocatable

public function df_rank_real(df, col_index, ascending) result(ranks)

Arguments

Return Value integer(kind=ik), dimension(:), allocatable

private function partition_indices_integer(values, indices, low, high, ascending) result(pivot_idx)

Arguments

Return Value integer

private function partition_indices_real(values, indices, low, high, ascending) result(pivot_idx)

Arguments

Return Value integer

Subroutines

public subroutine df_sort_by_column(df, col_index, ascending)

Arguments

private recursive subroutine quicksort_indices_integer(values, indices, low, high, ascending)

Arguments

private recursive subroutine quicksort_indices_real(values, indices, low, high, ascending)

Arguments

private subroutine reorder_all_columns(df, indices)

Arguments

private subroutine sort_indices_integer(values, indices, ascending)

Arguments

private subroutine sort_indices_real(values, indices, ascending)

Arguments