Struct ManualRule 

pub struct ManualRule {
    pub groups: Vec<ManualRuleGroup>,
}

Allows you to manually organize the values in a source data column into buckets with names of your choosing. For example, a pivot table that aggregates population by state: +—––+—————––+ | State | SUM of Population | +—––+—————––+ | AK | 0.7 | | AL | 4.8 | | AR | 2.9 | … +—––+—————––+ could be turned into a pivot table that aggregates population by time zone by providing a list of groups (for example, groupName = ‘Central’, items = [‘AL’, ‘AR’, ‘IA’, …]) to a manual group rule. Note that a similar effect could be achieved by adding a time zone column to the source data and adjusting the pivot table. +———–+—————––+ | Time Zone | SUM of Population | +———–+—————––+ | Central | 106.3 | | Eastern | 151.9 | | Mountain | 17.4 | … +———–+—————––+

Fields

groups: Vec<ManualRuleGroup>

Allows you to manually organize the values in a source data column into buckets with names of your choosing. For example, a pivot table that aggregates population by state: +—––+—————––+ | State | SUM of Population | +—––+—————––+ | AK | 0.7 | | AL | 4.8 | | AR | 2.9 | … +—––+—————––+ could be turned into a pivot table that aggregates population by time zone by providing a list of groups (for example, groupName = ‘Central’, items = [‘AL’, ‘AR’, ‘IA’, …]) to a manual group rule. Note that a similar effect could be achieved by adding a time zone column to the source data and adjusting the pivot table. +———–+—————––+ | Time Zone | SUM of Population | +———–+—————––+ | Central | 106.3 | | Eastern | 151.9 | | Mountain | 17.4 | … +———–+—————––+

Trait Implementations

impl Clone for ManualRule

fn clone(&self) -> ManualRule

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ManualRule

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ManualRule

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for ManualRule

fn schema_name() -> String

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

impl PartialEq for ManualRule

fn eq(&self, other: &ManualRule) -> 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 ManualRule

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 ManualRule