Enum NumericSeries 

pub enum NumericSeries {
    Aggregate(AggregateNumericSeries),
    Arithmetic(ArithmeticSeries),
    BitOperation(BitOperationSeries),
    CountDuplicate(EnumCountDuplicateSeries),
    CumulativeSum(CumulativeSumSeries),
    Derivative(DerivativeSeries),
    Integral(IntegralSeries),
    Max(MaxSeries),
    Mean(MeanSeries),
    Min(MinSeries),
    Offset(OffsetSeries),
    Product(ProductSeries),
    Raw(Reference),
    Channel(Box<ChannelSeries>),
    Derived(Box<DerivedSeries>),
    Resample(NumericResampleSeries),
    RollingOperation(RollingOperationSeries),
    SignalFilter(SignalFilterSeries),
    Sum(SumSeries),
    Scale(ScaleSeries),
    TimeDifference(TimeDifferenceSeries),
    AbsoluteTimestamp(AbsoluteTimestampSeries),
    TimeRangeFilter(NumericTimeRangeFilterSeries),
    TimeShift(NumericTimeShiftSeries),
    UnaryArithmetic(UnaryArithmeticSeries),
    BinaryArithmetic(BinaryArithmeticSeries),
    Union(NumericUnionSeries),
    UnitConversion(UnitConversionSeries),
    ValueDifference(ValueDifferenceSeries),
    FilterTransformation(NumericFilterTransformationSeries),
    ThresholdFilter(NumericThresholdFilterSeries),
    ApproximateFilter(NumericApproximateFilterSeries),
    Select1dArrayIndex(SelectIndexFrom1dNumericArraySeries),
    SelectNewestPoints(SelectNewestPointsSeries),
    AggregateUnderRanges(AggregateUnderRangesSeries),
    FilterByExpression(FilterByExpressionSeries),
    EnumToNumeric(EnumToNumericSeries),
    Refprop(RefpropSeries),
    Unknown(Unknown),
}

Variants

Aggregate(AggregateNumericSeries)

Arithmetic(ArithmeticSeries)

BitOperation(BitOperationSeries)

CountDuplicate(EnumCountDuplicateSeries)

CumulativeSum(CumulativeSumSeries)

Derivative(DerivativeSeries)

Integral(IntegralSeries)

Max(MaxSeries)

Mean(MeanSeries)

Min(MinSeries)

Offset(OffsetSeries)

Product(ProductSeries)

Raw(Reference)

Channel(Box<ChannelSeries>)

Derived(Box<DerivedSeries>)

Resample(NumericResampleSeries)

RollingOperation(RollingOperationSeries)

SignalFilter(SignalFilterSeries)

Sum(SumSeries)

Scale(ScaleSeries)

TimeDifference(TimeDifferenceSeries)

AbsoluteTimestamp(AbsoluteTimestampSeries)

TimeRangeFilter(NumericTimeRangeFilterSeries)

TimeShift(NumericTimeShiftSeries)

UnaryArithmetic(UnaryArithmeticSeries)

BinaryArithmetic(BinaryArithmeticSeries)

Union(NumericUnionSeries)

UnitConversion(UnitConversionSeries)

ValueDifference(ValueDifferenceSeries)

FilterTransformation(NumericFilterTransformationSeries)

ThresholdFilter(NumericThresholdFilterSeries)

ApproximateFilter(NumericApproximateFilterSeries)

Select1dArrayIndex(SelectIndexFrom1dNumericArraySeries)

SelectNewestPoints(SelectNewestPointsSeries)

AggregateUnderRanges(AggregateUnderRangesSeries)

FilterByExpression(FilterByExpressionSeries)

EnumToNumeric(EnumToNumericSeries)

Refprop(RefpropSeries)

Unknown(Unknown)

An unknown variant.

Trait Implementations

impl Clone for NumericSeries

fn clone(&self) -> NumericSeries

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NumericSeries

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for NumericSeries

fn deserialize<D>(d: D) -> Result<NumericSeries, D::Error>

where D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Hash for NumericSeries

fn hash<H: Hasher>(&self, state: &mut H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl Ord for NumericSeries

fn cmp(&self, other: &Self) -> Ordering

This method returns an Ordering between self and other.

fn max(self, other: Self) -> Self

where Self: Sized,

Compares and returns the maximum of two values.

fn min(self, other: Self) -> Self

where Self: Sized,

Compares and returns the minimum of two values.

fn clamp(self, min: Self, max: Self) -> Self

where Self: Sized,

Restrict a value to a certain interval.

impl PartialEq for NumericSeries

fn eq(&self, other: &Self) -> 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 PartialOrd for NumericSeries

fn partial_cmp(&self, other: &Self) -> Option<Ordering>

This method returns an ordering between self and other values if one exists.

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

Tests less than (for self and other) and is used by the < operator.

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

Tests less than or equal to (for self and other) and is used by the <= operator.

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

Tests greater than (for self and other) and is used by the > operator.

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

Tests greater than or equal to (for self and other) and is used by the >= operator.

impl Serialize for NumericSeries

fn serialize<S>(&self, s: S) -> Result<S::Ok, S::Error>

where S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for NumericSeries