datafort_manipulation

DataFort Manipulation Module

This module provides standalone functions for data frame manipulation operations. All functions take a data_frame as the first argument instead of being type-bound procedures.

Functions

Selection and Slicing

df_select_columns(df, column_indices) - Extract subset of columns
df_slice_rows(df, start_row, end_row) - Extract row range

Filtering

df_filter_rows_logical(df, logical_col_index) - Filter rows by logical column
df_filter_rows_real_range(df, col_index, min_val, max_val) - Filter rows by real value range
df_filter_rows_integer_range(df, col_index, min_val, max_val) - Filter rows by integer value range
df_filter_rows_string_pattern(df, col_index, pattern) - Filter rows by string pattern

Copy and Transform

df_copy(df) - Create a deep copy of the data frame
df_transpose(df) - Transpose the data frame (converts to character)

Column Manipulation

df_rename_column(df, col_index, new_name) - Rename a column
df_drop_column(df, col_index) - Remove a column
df_reorder_columns(df, new_order) - Reorder columns

Uses

Functions

public function df_copy(df) result(new_df)

Create a deep copy of a data frame

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(in)			::	df

Return Value type(data_frame)

public function df_filter_rows_integer_range(df, col_index, min_val, max_val) result(filtered_df)

Filter rows by integer value range

Arguments

Type	Intent		Name
type(data_frame),	intent(in)	::	df
integer,	intent(in)	::	col_index
integer(kind=ik),	intent(in)	::	min_val
integer(kind=ik),	intent(in)	::	max_val

Return Value type(data_frame)

public function df_filter_rows_logical(df, logical_col_index) result(new_df)

Filter rows based on a logical column

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(in)			::	df
integer,	intent(in)			::	logical_col_index

Return Value type(data_frame)

public function df_filter_rows_real_range(df, col_index, min_val, max_val) result(filtered_df)

Filter rows by real value range

Arguments

Type	Intent		Name
type(data_frame),	intent(in)	::	df
integer,	intent(in)	::	col_index
real(kind=rk),	intent(in)	::	min_val
real(kind=rk),	intent(in)	::	max_val

Return Value type(data_frame)

public function df_filter_rows_string_pattern(df, col_index, pattern) result(filtered_df)

Filter rows by string pattern

Arguments

Type	Intent		Name
type(data_frame),	intent(in)	::	df
integer,	intent(in)	::	col_index
character(len=*),	intent(in)	::	pattern

Return Value type(data_frame)

public function df_isin_character(df, col_index, values) result(mask)

Check if character values are in a given list

Arguments

Type	Intent	Attributes		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
character(len=*),	intent(in),	dimension(:)	::	values

Return Value logical, dimension(:), allocatable

public function df_isin_integer(df, col_index, values) result(mask)

Check if integer values are in a given list

Arguments

Type	Intent	Attributes		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
integer(kind=ik),	intent(in),	dimension(:)	::	values

Return Value logical, dimension(:), allocatable

public function df_isin_real(df, col_index, values) result(mask)

Check if real values are in a given list

Arguments

Type	Intent	Attributes		Name
type(data_frame),	intent(in)		::	df
integer,	intent(in)		::	col_index
real(kind=rk),	intent(in),	dimension(:)	::	values

Return Value logical, dimension(:), allocatable

public function df_select_columns(df, column_indices) result(new_df)

Select specific columns from a data frame

Arguments

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

Return Value type(data_frame)

public function df_slice_rows(df, start_row, end_row) result(new_df)

Slice rows to create a new data frame

Arguments

Type	Intent		Name
type(data_frame),	intent(in)	::	df
integer,	intent(in)	::	start_row
integer,	intent(in)	::	end_row

Return Value type(data_frame)

public function df_transpose(df) result(transposed_df)

Transpose a data frame

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(in)			::	df

Return Value type(data_frame)

Subroutines

private subroutine copy_column_to_df(source_df, col_index, target_df)

Helper subroutine to copy a column from one dataframe to another

Arguments

Type	Intent		Name
type(data_frame),	intent(in)	::	source_df
integer,	intent(in)	::	col_index
type(data_frame),	intent(inout)	::	target_df

public subroutine copy_filtered_column(source_df, target_df, col_index, selected_rows)

Helper subroutine to copy filtered rows for a single column

Arguments

Type	Intent	Attributes		Name
type(data_frame),	intent(in)		::	source_df
type(data_frame),	intent(inout)		::	target_df
integer,	intent(in)		::	col_index
integer,	intent(in),	dimension(:)	::	selected_rows

public subroutine df_drop_column(df, col_index)

Drop a column from the data frame

Arguments

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

public subroutine df_insert_column_character(df, data, position, header)

Insert a character column at a specific position

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
character(len=*),	intent(in),		dimension(:)	::	data
integer,	intent(in)			::	position
character(len=*),	intent(in),	optional		::	header

public subroutine df_insert_column_complex(df, data, position, header)

Insert a complex column at a specific position

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
complex(kind=rk),	intent(in),		dimension(:)	::	data
integer,	intent(in)			::	position
character(len=*),	intent(in),	optional		::	header

public subroutine df_insert_column_integer(df, data, position, header)

Insert an integer column at a specific position

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
integer(kind=ik),	intent(in),		dimension(:)	::	data
integer,	intent(in)			::	position
character(len=*),	intent(in),	optional		::	header

public subroutine df_insert_column_logical(df, data, position, header)

Insert a logical column at a specific position

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
logical,	intent(in),		dimension(:)	::	data
integer,	intent(in)			::	position
character(len=*),	intent(in),	optional		::	header

public subroutine df_insert_column_real(df, data, position, header)

Insert a real column at a specific position

Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
real(kind=rk),	intent(in),		dimension(:)	::	data
integer,	intent(in)			::	position
character(len=*),	intent(in),	optional		::	header

public subroutine df_rename_column(df, col_index, new_name)

Rename a column in the data frame

Arguments

Type	Intent		Name
type(data_frame),	intent(inout)	::	df
integer,	intent(in)	::	col_index
character(len=*),	intent(in)	::	new_name

public subroutine df_reorder_columns(df, new_order)

Reorder columns in the data frame

Arguments

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

datafort_manipulation Module

Contents

Functions

Subroutines

Functions

Selection and Slicing

Filtering

Copy and Transform

Column Manipulation

Uses

Functions

public function df_copy(df) result(new_df)

Arguments

Return Value type(data_frame)

public function df_filter_rows_integer_range(df, col_index, min_val, max_val) result(filtered_df)

Arguments

Return Value type(data_frame)

public function df_filter_rows_logical(df, logical_col_index) result(new_df)

Arguments

Return Value type(data_frame)

public function df_filter_rows_real_range(df, col_index, min_val, max_val) result(filtered_df)

Arguments

Return Value type(data_frame)

public function df_filter_rows_string_pattern(df, col_index, pattern) result(filtered_df)

Arguments

Return Value type(data_frame)

public function df_isin_character(df, col_index, values) result(mask)

Arguments

Return Value logical, dimension(:), allocatable

public function df_isin_integer(df, col_index, values) result(mask)

Arguments

Return Value logical, dimension(:), allocatable

public function df_isin_real(df, col_index, values) result(mask)

Arguments

Return Value logical, dimension(:), allocatable

public function df_select_columns(df, column_indices) result(new_df)

Arguments

Return Value type(data_frame)

public function df_slice_rows(df, start_row, end_row) result(new_df)

Arguments

Return Value type(data_frame)

public function df_transpose(df) result(transposed_df)

Arguments

Return Value type(data_frame)

Subroutines

private subroutine copy_column_to_df(source_df, col_index, target_df)

Arguments

public subroutine copy_filtered_column(source_df, target_df, col_index, selected_rows)

Arguments

public subroutine df_drop_column(df, col_index)

Arguments

public subroutine df_insert_column_character(df, data, position, header)

Arguments

public subroutine df_insert_column_complex(df, data, position, header)

Arguments

public subroutine df_insert_column_integer(df, data, position, header)

Arguments

public subroutine df_insert_column_logical(df, data, position, header)

Arguments

public subroutine df_insert_column_real(df, data, position, header)

Arguments

public subroutine df_rename_column(df, col_index, new_name)

Arguments

public subroutine df_reorder_columns(df, new_order)

Arguments