Struct Scalar

pub struct Scalar {
    pub scalar: Option<SerializedComponentBatch>,
}

👎Deprecated: since 0.23.0: Use Scalars instead.

Archetype: A double-precision scalar, e.g. for use for time-series plots.

The current timeline value will be used for the time/X-axis, hence scalars should not be static.

When used to produce a plot, this archetype is used to provide the data that is referenced by archetypes::SeriesLines or archetypes::SeriesPoints. You can do this by logging both archetypes to the same path, or alternatively configuring the plot-specific archetypes through the blueprint.

⚠️ Deprecated since 0.23.0: Use Scalars instead.

Examples

Update a scalar over time

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let rec = rerun::RecordingStreamBuilder::new("rerun_example_scalar_row_updates").spawn()?;

    for step in 0..64 {
        rec.set_time_sequence("step", step);
        rec.log(
            "scalars",
            &rerun::Scalars::single((step as f64 / 10.0).sin()),
        )?;
    }

    Ok(())
}

Update a scalar over time, in a single operation

use rerun::TimeColumn;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let rec = rerun::RecordingStreamBuilder::new("rerun_example_scalar_column_updates").spawn()?;

    let times = TimeColumn::new_sequence("step", 0..64);
    let scalars = (0..64).map(|step| (step as f64 / 10.0).sin());

    rec.send_columns(
        "scalars",
        [times],
        rerun::Scalars::new(scalars).columns_of_unit_batches()?,
    )?;

    Ok(())
}

Fields

scalar: Option<SerializedComponentBatch>

👎Deprecated: since 0.23.0: Use Scalars instead.

The scalar value to log.

Implementations

impl Scalar

pub fn descriptor_scalar() -> ComponentDescriptor

Returns the ComponentDescriptor for Self::scalar.

pub fn descriptor_indicator() -> ComponentDescriptor

Returns the ComponentDescriptor for the associated indicator component.

impl Scalar

pub const NUM_COMPONENTS: usize = 2usize

The total number of components in the archetype: 1 required, 1 recommended, 0 optional

impl Scalar

pub fn new(scalar: impl Into<Scalar>) -> Scalar

Create a new Scalar.

pub fn update_fields() -> Scalar

Update only some specific fields of a Scalar.

pub fn clear_fields() -> Scalar

Clear all the fields of a Scalar.

pub fn columns<I>( self, _lengths: I, ) -> Result<impl Iterator<Item = SerializedComponentColumn>, SerializationError>

where I: IntoIterator<Item = usize> + Clone,

Partitions the component data into multiple sub-batches.

Specifically, this transforms the existing SerializedComponentBatches data into SerializedComponentColumns instead, via SerializedComponentBatch::partitioned.

This makes it possible to use RecordingStream::send_columns to send columnar data directly into Rerun.

The specified lengths must sum to the total length of the component batch.

pub fn columns_of_unit_batches( self, ) -> Result<impl Iterator<Item = SerializedComponentColumn>, SerializationError>

Helper to partition the component data into unit-length sub-batches.

This is semantically similar to calling Self::columns with std::iter::take(1).repeat(n), where n is automatically guessed.

pub fn with_scalar(self, scalar: impl Into<Scalar>) -> Scalar

The scalar value to log.

pub fn with_many_scalar( self, scalar: impl IntoIterator<Item = impl Into<Scalar>>, ) -> Scalar

This method makes it possible to pack multiple crate::components::Scalar in a single component batch.

This only makes sense when used in conjunction with Self::columns. Self::with_scalar should be used when logging a single row’s worth of data.

Trait Implementations

impl Archetype for Scalar

type Indicator = GenericIndicatorComponent<Scalar>

The associated indicator component, whose presence indicates that the high-level archetype-based APIs were used to log the data.

fn name() -> ArchetypeName

The fully-qualified name of this archetype, e.g. rerun.archetypes.Points2D.

fn display_name() -> &'static str

Readable name for displaying in UI.

fn indicator() -> SerializedComponentBatch

Creates a ComponentBatch out of the associated Self::Indicator component.

fn required_components() -> Cow<'static, [ComponentDescriptor]>

Returns all component descriptors that must be provided by the user when constructing this archetype.

fn recommended_components() -> Cow<'static, [ComponentDescriptor]>

Returns all component descriptors that should be provided by the user when constructing this archetype.

fn optional_components() -> Cow<'static, [ComponentDescriptor]>

Returns all component descriptors that may be provided by the user when constructing this archetype.

fn all_components() -> Cow<'static, [ComponentDescriptor]>

Returns all component descriptors that must, should and may be provided by the user when constructing this archetype.

fn from_arrow_components( arrow_data: impl IntoIterator<Item = (ComponentDescriptor, Arc<dyn Array>)>, ) -> Result<Scalar, DeserializationError>

Given an iterator of Arrow arrays and their respective ComponentNames, deserializes them into this archetype.

fn from_arrow( data: impl IntoIterator<Item = (Field, Arc<dyn Array>)>, ) -> Result<Self, DeserializationError>

where Self: Sized,

Given an iterator of Arrow arrays and their respective field metadata, deserializes them into this archetype.

impl AsComponents for Scalar

fn as_serialized_batches(&self) -> Vec<SerializedComponentBatch>

Exposes the object’s contents as a set of SerializedComponentBatches.

fn to_arrow(&self) -> Result<Vec<(Field, Arc<dyn Array>)>, SerializationError>

Serializes all non-null Components of this bundle into Arrow arrays.

impl Clone for Scalar

fn clone(&self) -> Scalar

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Scalar

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

Formats the value using the given formatter.

impl Default for Scalar

fn default() -> Scalar

Returns the “default value” for a type.

impl PartialEq for Scalar

fn eq(&self, other: &Scalar) -> 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 SizeBytes for Scalar

fn heap_size_bytes(&self) -> u64

Returns how many bytes self uses on the heap.

fn total_size_bytes(&self) -> u64

Returns the total size of self in bytes, accounting for both stack and heap space.

fn stack_size_bytes(&self) -> u64

Returns the total size of self on the stack, in bytes.

fn is_pod() -> bool

Is Self just plain old data?

impl ArchetypeReflectionMarker for Scalar

impl StructuralPartialEq for Scalar