Struct DataFrame 

pub struct DataFrame {
    pub columns: Vec<(String, Column)>,
}

A columnar DataFrame.

Fields

columns: Vec<(String, Column)>

Implementations

impl DataFrame

pub fn new() -> Self

Create an empty DataFrame with no columns.

pub fn from_columns(columns: Vec<(String, Column)>) -> Result<Self, DataError>

Create a DataFrame from a list of named columns.

Returns an error if column lengths are not all equal.

pub fn nrows(&self) -> usize

Returns the number of rows (determined from the first column, or 0 if empty).

pub fn ncols(&self) -> usize

Returns the number of columns.

pub fn column_names(&self) -> Vec<&str>

Returns the column names in order.

pub fn get_column(&self, name: &str) -> Option<&Column>

Look up a column by name, returning a reference if found.

pub fn to_tensor_data( &self, col_names: &[&str], ) -> Result<(Vec<f64>, Vec<usize>), DataError>

Convert selected columns to a flat Vec (for tensor bridge).

impl DataFrame

pub fn to_tensor(&self, col_names: &[&str]) -> Result<Tensor, DataError>

Convert selected numeric columns to a cjc_runtime::Tensor with shape [nrows, len(col_names)] (row-major).

All selected columns must be Float or Int; Str and Bool columns will return DataError::InvalidOperation. Convert selected numeric columns into a Tensor with shape [nrows, ncols].

pub fn push_row(&mut self, values: &[&str]) -> Result<(), DataError>

Append a single row of string values (parsed to the column type).

values must match self.ncols() in length. Each string is parsed according to the existing column type:

• Float: parsed as f64, falls back to 0.0 on parse error
• Int: parsed as i64, falls back to 0 on parse error
• Str: stored as-is
• Bool: "true" / "1" → true, anything else → false

impl DataFrame

pub fn tidy(self) -> TidyView

Wrap this DataFrame as a TidyView for Phase 10 tidy operations.

Consumes self (zero-copy – moves into an Rc).

pub fn tidy_mut(self) -> TidyFrame

Wrap this DataFrame as a TidyFrame for mutable tidy operations.

Trait Implementations

impl Clone for DataFrame

fn clone(&self) -> DataFrame

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DataFrame

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for DataFrame

fn default() -> Self

Returns the “default value” for a type.

impl Display for DataFrame

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.