datafort_advanced

DataFort Advanced Operations Module

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

Functions

Unique Value Functions

df_unique_real(df, col_index) - Get unique values from real column
df_unique_integer(df, col_index) - Get unique values from integer column
df_unique_character(df, col_index) - Get unique values from character column

Value Counting Functions

df_value_counts_real(df, col_index) - Count occurrences of each value (real)
df_value_counts_integer(df, col_index) - Count occurrences of each value (integer)
df_value_counts_character(df, col_index) - Count occurrences of each value (character)

Concatenation Functions

df_concat(df1, df2, axis) - Concatenate two data frames (axis=0: vertical, axis=1: horizontal)

Duplicate Detection and Removal Functions

df_duplicated(df) - Check which rows are duplicates
df_drop_duplicates(df) - Remove duplicate rows
df_drop_duplicates_subset(df, col_indices) - Remove duplicates based on specific columns

Notes

Unique functions return sorted unique values (except character which is unsorted)
Value counts return a data frame with “Value” and “Count” columns
Concat with axis=0 requires same number of columns; axis=1 requires same number of rows
Duplicate detection compares all data types including NaN values

Uses

Functions

public function df_concat(df1, df2, axis) result(result_df)

Concatenate two data frames vertically (rows) or horizontally (columns)

Arguments

Type	Intent		Name
type(data_frame),	intent(in)	::	df1
type(data_frame),	intent(in)	::	df2
integer,	intent(in)	::	axis

Return Value type(data_frame)

public function df_drop_duplicates(df) result(unique_df)

Remove duplicate rows

Arguments

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

Return Value type(data_frame)

public function df_drop_duplicates_subset(df, col_indices) result(unique_df)

Drop duplicate rows based on specific columns (subset)

Arguments

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

Return Value type(data_frame)

public function df_duplicated(df) result(is_dup)

Check which rows are duplicates

Arguments

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

Return Value logical, dimension(:), allocatable

public function df_nunique_character(df, col_index) result(n_unique)

Count number of unique values in character column

Arguments

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

Return Value integer

public function df_nunique_integer(df, col_index) result(n_unique)

Count number of unique values in integer column

Arguments

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

Return Value integer

public function df_nunique_real(df, col_index) result(n_unique)

Count number of unique values in real column

Arguments

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

Return Value integer

public function df_unique_character(df, col_index) result(unique_vals)

Get unique values from a character column

Arguments

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

Return Value character(len=:), allocatable, (:)

public function df_unique_integer(df, col_index) result(unique_vals)

Get unique values from an integer column

Arguments

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

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

public function df_unique_real(df, col_index) result(unique_vals)

Get unique values from a real column

Arguments

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

Return Value real(kind=rk), dimension(:), allocatable

public function df_value_counts_character(df, col_index) result(counts_df)

Count occurrences of each value in a character column

Arguments

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

Return Value type(data_frame)

public function df_value_counts_integer(df, col_index) result(counts_df)

Count occurrences of each value in an integer column

Arguments

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

Return Value type(data_frame)

public function df_value_counts_real(df, col_index) result(counts_df)

Count occurrences of each value in a real column

Arguments

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

datafort_advanced Module

Contents

Functions

Functions

Unique Value Functions

Value Counting Functions

Concatenation Functions

Duplicate Detection and Removal Functions

Notes

Uses

Functions

public function df_concat(df1, df2, axis) result(result_df)

Arguments

Return Value type(data_frame)

public function df_drop_duplicates(df) result(unique_df)

Arguments

Return Value type(data_frame)

public function df_drop_duplicates_subset(df, col_indices) result(unique_df)

Arguments

Return Value type(data_frame)

public function df_duplicated(df) result(is_dup)

Arguments

Return Value logical, dimension(:), allocatable

public function df_nunique_character(df, col_index) result(n_unique)

Arguments

Return Value integer

public function df_nunique_integer(df, col_index) result(n_unique)

Arguments

Return Value integer

public function df_nunique_real(df, col_index) result(n_unique)

Arguments

Return Value integer

public function df_unique_character(df, col_index) result(unique_vals)

Arguments

Return Value character(len=:), allocatable, (:)

public function df_unique_integer(df, col_index) result(unique_vals)

Arguments

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

public function df_unique_real(df, col_index) result(unique_vals)

Arguments

Return Value real(kind=rk), dimension(:), allocatable

public function df_value_counts_character(df, col_index) result(counts_df)

Arguments

Return Value type(data_frame)

public function df_value_counts_integer(df, col_index) result(counts_df)

Arguments

Return Value type(data_frame)

public function df_value_counts_real(df, col_index) result(counts_df)

Arguments

Return Value type(data_frame)