Struct DataFrame 

pub struct DataFrame { /* private fields */ }

A DataFrame represents a collection of named Series (columns)

Implementations

impl DataFrame

pub fn new() -> Self

Create a new empty DataFrame

pub fn from_series(columns: HashMap<String, Series>) -> Result<Self, Error>

Create a DataFrame from a map of column names to Series

pub fn n_rows(&self) -> usize

Get number of rows

pub fn n_cols(&self) -> usize

Get number of columns

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

Get column names

pub fn column(&self, name: &str) -> Option<&Series>

Get a column by name

pub fn column_mut(&mut self, name: &str) -> Option<&mut Series>

Get a mutable reference to a column

pub fn with_column(self, series: Series) -> Result<Self, Error>

Add a column to the DataFrame

pub fn drop_column(self, name: &str) -> Self

Remove a column

pub fn select(&self, col_names: &[&str]) -> Result<Self, Error>

Select specific columns

pub fn filter(&self, mask: &[bool]) -> Result<Self, Error>

Filter rows based on a boolean mask

pub fn design_matrix(&self, formula: &Formula) -> Result<Array2<f64>, Error>

Get design matrix for regression

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 FromData<Vec<Vec<f64>>> for DataFrame

fn from_data(data: Vec<Vec<f64>>) -> Result<Self, Error>

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.