Example usage for java.util.stream Collectors summarizingDouble

Introduction

In this page you can find the example usage for java.util.stream Collectors summarizingDouble.

Prototype

public static <T> Collector<T, ?, DoubleSummaryStatistics> summarizingDouble(
        ToDoubleFunction<? super T> mapper) 

Source Link

Document

Returns a Collector which applies an double -producing mapping function to each input element, and returns summary statistics for the resulting values.

Usage

From source file:Main.java

public static void main(String[] args) {
    DoubleSummaryStatistics incomeStats = Employee.persons().stream()
            .collect(Collectors.summarizingDouble(Employee::getIncome));
    System.out.println(incomeStats);
}

---

From source file:Main.java

public static void main(String[] args) {
    Map<Employee.Gender, DoubleSummaryStatistics> incomeStatsByGender = Employee.persons().stream().collect(
            Collectors.groupingBy(Employee::getGender, Collectors.summarizingDouble(Employee::getIncome)));

    System.out.println(incomeStatsByGender);
}

---

From source file:io.yields.math.concepts.operator.Smoothness.java

public static List<Tuple> normalize(Collection<Tuple> tuples) {
    DoubleSummaryStatistics statsForX = tuples.stream()
            .collect(Collectors.summarizingDouble(tuple -> tuple.getX()));
    DoubleSummaryStatistics statsForY = tuples.stream()
            .collect(Collectors.summarizingDouble(tuple -> tuple.getY()));
    double minX = statsForX.getMin();
    double maxX = statsForX.getMax();
    double minY = statsForY.getMin();
    double maxY = statsForY.getMax();
    return tuples.stream().map(tuple -> {
        double x = (tuple.getX() - minX) / (maxX - minX);
        double y = (tuple.getY() - minY) / (maxY - minY);
        return new Tuple(x, y);
    }).collect(Collectors.toList());
}

---

From source file:com.gs.collections.impl.jmh.AggregateByTest.java

@Warmup(iterations = 20)
@Measurement(iterations = 10)// ww  w .java 2 s.  c o m
@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_serial_lazy_jdk() {
    Map<Product, DoubleSummaryStatistics> result = this.jdkPositions.stream().collect(Collectors
            .groupingBy(Position::getProduct, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(result);
    return result;
}

---

From source file:com.gs.collections.impl.jmh.AggregateByTest.java

@Warmup(iterations = 20)
@Measurement(iterations = 10)/*from  ww w  .ja  va 2s.c  o m*/
@Benchmark
public Map<Account, DoubleSummaryStatistics> aggregateByAccount_serial_lazy_jdk() {
    Map<Account, DoubleSummaryStatistics> accountDoubleMap = this.jdkPositions.stream().collect(Collectors
            .groupingBy(Position::getAccount, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(accountDoubleMap);
    return accountDoubleMap;
}

---

From source file:com.gs.collections.impl.jmh.AggregateByTest.java

@Warmup(iterations = 20)
@Measurement(iterations = 10)//from   ww  w.ja v  a 2s  .  c o m
@Benchmark
public Map<String, DoubleSummaryStatistics> aggregateByCategory_serial_lazy_jdk() {
    Map<String, DoubleSummaryStatistics> categoryDoubleMap = this.jdkPositions.stream().collect(Collectors
            .groupingBy(Position::getCategory, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(categoryDoubleMap);
    return categoryDoubleMap;
}

---

From source file:com.gs.collections.impl.jmh.AggregateByTest.java

@Warmup(iterations = 20)
@Measurement(iterations = 10)//  w w  w  .  ja  v a2s  .  c  om
@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_parallel_lazy_jdk() {
    Map<Product, DoubleSummaryStatistics> result = this.jdkPositions.parallelStream().collect(Collectors
            .groupingBy(Position::getProduct, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(result);
    return result;
}

---

From source file:com.gs.collections.impl.jmh.AggregateByTest.java

@Warmup(iterations = 20)
@Measurement(iterations = 10)/*from www .j  a  va2 s.com*/
@Benchmark
public Map<Account, DoubleSummaryStatistics> aggregateByAccount_parallel_lazy_jdk() {
    Map<Account, DoubleSummaryStatistics> result = this.jdkPositions.parallelStream().collect(Collectors
            .groupingBy(Position::getAccount, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(result);
    return result;
}

---

From source file:com.gs.collections.impl.jmh.AggregateByTest.java

@Warmup(iterations = 20)
@Measurement(iterations = 10)//  w w  w  . j av a 2s  .c  o  m
@Benchmark
public Map<String, DoubleSummaryStatistics> aggregateByCategory_parallel_lazy_jdk() {
    Map<String, DoubleSummaryStatistics> result = this.jdkPositions.parallelStream().collect(Collectors
            .groupingBy(Position::getCategory, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(result);
    return result;
}

---

From source file:org.eclipse.collections.impl.jmh.AggregateByTest.java

@Benchmark
public Map<Product, DoubleSummaryStatistics> aggregateByProduct_serial_lazy_jdk() {
    Map<Product, DoubleSummaryStatistics> result = this.jdkPositions.stream().collect(Collectors
            .groupingBy(Position::getProduct, Collectors.summarizingDouble(Position::getMarketValue)));
    Assert.assertNotNull(result);//from  www .j  a v a2  s.c o  m
    return result;
}

---

• «
• 1
• 2
• 3
• »