Struct DataFrame 

pub struct DataFrame { /* private fields */ }

Pandas-compatible DataFrame structure

Implementations

impl DataFrame

pub fn new() -> Self

Create a new DataFrame

pub fn from_ndarray( array: &Array2<f64>, columns: Option<Vec<String>>, ) -> Result<Self>

Create DataFrame from ndarray (assumes numeric data)

pub fn add_column(&mut self, name: String, values: Vec<DataValue>) -> Result<()>

Add a column to the DataFrame

pub fn columns(&self) -> &[String]

Get column names

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

Get a column by name

pub fn shape(&self) -> (usize, usize)

Get shape (rows, columns)

pub fn to_ndarray(&self) -> Result<Array2<f64>>

Convert to ndarray (numeric columns only)

pub fn describe(&self) -> Result<DataFrame>

Get summary statistics

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<'de> Deserialize<'de> for DataFrame

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for DataFrame

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.