datafort_nan Module

DataFort NaN Handling Module

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

Functions

NaN Detection Functions

• df_isna_real(df, col_index) - Check for NaN values in real column
• df_isna_integer(df, col_index) - Check for NaN values in integer column

NaN Replacement Functions

• df_fillna_real(df, col_index, fill_value) - Replace NaN with fill value (real)
• df_fillna_integer(df, col_index, fill_value) - Replace NaN with fill value (integer)

Row Removal Functions

• df_dropna(df) - Remove rows containing NaN values

Notes

• For real columns, NaN is detected using IEEE floating-point NaN
• For integer columns, NaN is represented by a sentinel value (huge(1_ik))
• df_dropna returns a new data frame with NaN-containing rows removed
• df_fillna_* subroutines modify the data frame in-place

Functions

public function df_dropna(df) result(clean_df)

Remove rows containing NaN values

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Arguments

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

Return Value type(data_frame)

public function df_isna_integer(df, col_index) result(mask)

Check for NaN values in an integer column

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Arguments

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

Return Value logical, dimension(:), allocatable

public function df_isna_real(df, col_index) result(mask)

Check for NaN values in a real column

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Arguments

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

Return Value logical, dimension(:), allocatable

Subroutines

public subroutine df_fillna_integer(df, col_index, fill_value)

Replace NaN values in an integer column with a fill value

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Arguments

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

public subroutine df_fillna_real(df, col_index, fill_value)

Replace NaN values in a real column with a fill value

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Arguments

Type	Intent	Optional	Attributes		Name
type(data_frame),	intent(inout)			::	df
integer,	intent(in)			::	col_index
real(kind=rk),	intent(in)			::	fill_value