Procedures

Add a column with automatic type detection

Helper subroutine to build joined dataframe from match indices

Calculate maximum of a real column

Calculate mean of a real column

Calculate minimum of a real column

Calculate standard deviation of a real column

Contains substring comparison for character columns

Helper subroutine to copy a column from one dataframe to another

Internal: Copy filtered column from source to target

Helper subroutine to copy filtered rows for a single column

Take absolute value of all elements in an integer column

Take absolute value of all elements in a real column

Append a character-valued column to the data frame

Append a complex-valued column to the data frame

Append an integer-valued column to the data frame

Append a logical-valued column to the data frame

Append a real-valued column to the data frame

Apply a function to all rows

Apply custom function to column

Apply a function to a specific row

Clear the dataframe (destroy and re-initialize)

Clip (clamp) values in an integer column to [min_val, max_val]

Clip (clamp) values in a real column to [min_val, max_val]

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

Initialize a new data frame

Create a deep copy of a data frame

Calculate Pearson correlation coefficient between two real columns

Calculate cumulative sum for an integer column (modifies in place)

Calculate cumulative sum for a real column (modifies in place)

Print summary statistics for all numeric columns

Destroy a data frame and free all memory

Calculate differences between consecutive rows (result has n-1 elements)

Calculate differences between consecutive rows (result has n-1 elements)

Drop a column from the data frame

Remove duplicate rows

Drop duplicate rows based on specific columns (subset)

Remove rows containing NaN values

Check which rows are duplicates

Check if dataframe is empty (no rows or no columns)

Check if two dataframes are identical

Apply exponential to column

Replace NaN values in an integer column with a fill value

Replace NaN values in a real column with a fill value

Filter data frame using a boolean mask (pandas-like df[mask] operation)

Filter rows by integer value range

Filter rows based on a logical column

Filter rows by real value range

Filter rows by string pattern

Get character column by index

Get complex column by index

Get integer column by index

Get logical column by index

Get real column by index

Get single character value from data frame

Get single complex value from data frame

Get single integer value from data frame

Get single logical value from data frame

Get single real value from data frame

Return first n rows as a new dataframe

Print information about the dataframe

Perform an inner join between two data frames

Insert a character column at a specific position

Insert a complex column at a specific position

Insert an integer column at a specific position

Insert a logical column at a specific position

Insert a real column at a specific position

Check if an integer column is sorted

Check if a real column is sorted

Check if character values are in a given list

Check if integer values are in a given list

Check if real values are in a given list

Check for NaN values in an integer column

Check for NaN values in a real column

Calculate kurtosis of integer column

Calculate kurtosis (measure of tailedness) of real column

Perform a left join between two data frames

Apply natural logarithm to column

Find maximum value in integer column

Find maximum value in real column

Calculate the arithmetic mean of an integer column

Calculate the arithmetic mean of a real column

Calculate median of integer column

Calculate median of real column

Merge two dataframes on column names (similar to SQL join but using names)

Find minimum value in integer column

Find minimum value in real column

Return dataframe with n largest values in an integer column

Return dataframe with n largest values in a real column

Normalize a real column to [0, 1] range

Return dataframe with n smallest values in an integer column

Return dataframe with n smallest values in a real column

Count number of unique values in character column

Count number of unique values in integer column

Count number of unique values in real column

Perform an outer join between two data frames

Calculate percentile of integer column

Calculate percentile of real column

Apply a custom function to a dataframe (for method chaining)

Raise column to a power

Rank values in an integer column

Rank values in a real column

Import CSV file into data frame

Rename a column in the data frame

Reorder columns in the data frame

Replace all occurrences of a value in an integer column

Replace all occurrences of a value in a real column

Perform a right join between two data frames

Round real column to specified number of decimal places

Get n random rows from the dataframe

Select specific columns from a data frame

Set entire character column by index

Set entire complex column by index

Set entire integer column by index

Set entire logical column by index

Set entire real column by index

Set single character value in data frame

Set single complex value in data frame

Set single integer value in data frame

Set single logical value in data frame

Set single real value in data frame

Return shape as [nrows, ncols]

Shuffle all rows randomly in place

Calculate skewness of integer column

Calculate skewness (measure of asymmetry) of real column

Internal: Slice rows to create a new data frame

Slice rows to create a new data frame

Sort data frame by column values

Apply square root to column

Standardize a real column (z-score: mean=0, std=1)

Calculate standard deviation of integer column

Calculate standard deviation of real column

Calculate sum of integer column

Calculate sum of real column

Return last n rows as a new dataframe

Convert dataframe to 2D real array

Transpose a data frame

Get unique values from a character column

Get unique values from an integer column

Get unique values from a real column

Count occurrences of each value in a character column

Count occurrences of each value in an integer column

Count occurrences of each value in a real column

Calculate variance of integer column

Calculate variance of real column

Display data frame in console

Export data frame to CSV file

Equality comparison for character columns

Equality comparison for integer columns

Equality comparison for real columns

Greater than or equal comparison for integer columns

Greater than or equal comparison for real columns

Get column index from either integer or character input

Greater than comparison for integer columns

Greater than comparison for real columns

Initialize the NaN_rk constant

Check if an integer value is NaN (sentinel)

Check if a real value is NaN

Less than or equal comparison for integer columns

Less than or equal comparison for real columns

Less than comparison for integer columns

Less than comparison for real columns

Logical AND operation on two masks

Initialize a boolean mask from a logical array

Destroy a boolean mask and free memory

Get the logical array from the mask

Get the size of the mask

Check if mask is initialized

Logical NOT operation on a mask

Logical OR operation on two masks

Not equal comparison for character columns

Not equal comparison for integer columns

Not equal comparison for real columns

Parse a CSV line into fields

Partition function for integer value quicksort

Partition function for real value quicksort

Quicksort implementation for integer value indices

Quicksort implementation for real value indices

Internal: Reorder all columns according to index array

Reorder all columns based on index array

Sort indices array based on integer values

Sort indices array based on real values