Struct SparseDataFrameView 

pub struct SparseDataFrameView<'a> { /* private fields */ }

Implementations

impl<'a> SparseDataFrameView<'a>

pub fn dataframe(&self) -> &'a DataFrame

pub fn npoints(&self) -> usize

Count non-fill values across all columns.

Dense-backed DataFrames do not yet store per-column SparseDType descriptors, so the default fill value is each column dtype’s missing marker.

pub fn density(&self) -> f64

Return total non-fill density across the DataFrame.

pub fn column_npoints(&self) -> BTreeMap<String, usize>

Count non-fill values in each column.

pub fn column_density(&self) -> BTreeMap<String, f64>

Return non-fill density in each column.

pub fn npoints_with_fill_value(&self, fill_value: &Scalar) -> usize

Count values that differ from a caller-provided fill value.

This mirrors the Series sparse accessor’s SparseDType(fill_value) semantics for callers that know the intended sparse fill value.

pub fn density_with_fill_value(&self, fill_value: &Scalar) -> f64

Return total density using a caller-provided fill value.

pub fn column_npoints_with_fill_value( &self, fill_value: &Scalar, ) -> BTreeMap<String, usize>

Count per-column values that differ from a caller-provided fill value.

pub fn column_density_with_fill_value( &self, fill_value: &Scalar, ) -> BTreeMap<String, f64>

Return per-column density using a caller-provided fill value.

pub fn to_dense(&self) -> DataFrame

Materialize the sparse view as a dense DataFrame.

Current DataFrame storage is already dense; this returns a clone while preserving DataFrame metadata such as duplicate-label policy.

Trait Implementations

impl<'a> Clone for SparseDataFrameView<'a>

fn clone(&self) -> SparseDataFrameView<'a>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<'a> Copy for SparseDataFrameView<'a>

impl<'a> Debug for SparseDataFrameView<'a>

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

Formats the value using the given formatter.

impl<'a> PartialEq for SparseDataFrameView<'a>

fn eq(&self, other: &SparseDataFrameView<'a>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<'a> StructuralPartialEq for SparseDataFrameView<'a>