Struct DataFrameDictTight 

pub struct DataFrameDictTight {
    pub index: Vec<Scalar>,
    pub columns: DataFrameDictAxisLabels,
    pub data: Vec<Vec<Scalar>>,
    pub index_names: Vec<Option<String>>,
    pub column_names: Vec<Option<String>>,
}

Pandas 2.2 to_dict(orient='tight') payload.

Fields

index: Vec<Scalar>

Row index labels, in row order.

columns: DataFrameDictAxisLabels

Column labels, in column order. Flat columns stay flat; MultiIndex columns are emitted as tuples of level labels.

data: Vec<Vec<Scalar>>

Row-major nested data: data[row][col].

index_names: Vec<Option<String>>

Names of each index level (pandas emits [None] for an unnamed single-level index).

column_names: Vec<Option<String>>

Names of each column level (always [None] until MultiIndex columns land).

Trait Implementations

impl Clone for DataFrameDictTight

fn clone(&self) -> DataFrameDictTight

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataFrameDictTight

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

Formats the value using the given formatter.

impl PartialEq for DataFrameDictTight

fn eq(&self, other: &DataFrameDictTight) -> 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 StructuralPartialEq for DataFrameDictTight