Struct DataScalarColumn 

#[non_exhaustive]
pub struct DataScalarColumn {
    pub meta: Option<ScalarMeta>,
    pub name: Option<String>,
    pub type_: Option<ScalarColumnTypeNumber>,
    pub values: Option<Vec<Option<f64>>>,
    pub additional_properties: BTreeMap<String, Value>,
    /* private fields */
}

A column containing the numerical results for a formula or query.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

meta: Option<ScalarMeta>

Metadata for the resulting numerical values.

name: Option<String>

The name referencing the formula or query for this column.

type_: Option<ScalarColumnTypeNumber>

The type of column present for numbers.

values: Option<Vec<Option<f64>>>

The array of numerical values for one formula or query.

additional_properties: BTreeMap<String, Value>

Implementations

impl DataScalarColumn

pub fn new() -> DataScalarColumn

pub fn meta(self, value: ScalarMeta) -> Self

pub fn name(self, value: String) -> Self

pub fn type_(self, value: ScalarColumnTypeNumber) -> Self

pub fn values(self, value: Vec<Option<f64>>) -> Self

pub fn additional_properties(self, value: BTreeMap<String, Value>) -> Self

Trait Implementations

impl Clone for DataScalarColumn

fn clone(&self) -> DataScalarColumn

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataScalarColumn

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

Formats the value using the given formatter.

impl Default for DataScalarColumn

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DataScalarColumn

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DataScalarColumn

fn eq(&self, other: &DataScalarColumn) -> 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 Serialize for DataScalarColumn

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DataScalarColumn