Struct DataFrame 

pub struct DataFrame { /* private fields */ }

Pandas-compatible DataFrame structure

Implementations

impl DataFrame

pub fn new() -> DataFrame

Create a new DataFrame

pub fn from_ndarray( array: &ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, columns: Option<Vec<String>>, ) -> Result<DataFrame, SklearsError>

Create DataFrame from ndarray (assumes numeric data)

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

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<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, SklearsError>

Convert to ndarray (numeric columns only)

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

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<(), Error>

Formats the value using the given formatter.

impl Default for DataFrame

fn default() -> DataFrame

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DataFrame

fn deserialize<__D>( __deserializer: __D, ) -> Result<DataFrame, <__D as Deserializer<'de>>::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 as Serializer>::Ok, <__S as Serializer>::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.