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High-performance Java Dataframe with integrated columnar storage (fork of tablesaw)

There is a newer version: 0.9.1

package org.datavec.dataframe.columns;

import it.unimi.dsi.fastutil.ints.IntIterable;
import org.datavec.dataframe.filtering.doubles.DoubleBiPredicate;
import org.datavec.dataframe.filtering.doubles.DoublePredicate;

/**
 *
 */
public interface DoubleColumnUtils extends Column, IntIterable {

    DoublePredicate isZero = i -> i == 0.0;

    DoublePredicate isNegative = i -> i < 0;

    DoublePredicate isPositive = i -> i > 0;

    DoublePredicate isNonNegative = i -> i >= 0;

    DoubleBiPredicate isGreaterThan = (valueToTest, valueToCompareAgainst) -> valueToTest > valueToCompareAgainst;

    DoubleBiPredicate isGreaterThanOrEqualTo =
                    (valueToTest, valueToCompareAgainst) -> valueToTest >= valueToCompareAgainst;

    DoubleBiPredicate isLessThan = (valueToTest, valueToCompareAgainst) -> valueToTest < valueToCompareAgainst;

    DoubleBiPredicate isLessThanOrEqualTo =
                    (valueToTest, valueToCompareAgainst) -> valueToTest <= valueToCompareAgainst;

    DoubleBiPredicate isEqualTo = (valueToTest, valueToCompareAgainst) -> valueToTest == valueToCompareAgainst;

    DoubleBiPredicate notIsEqualTo = (valueToTest, valueToCompareAgainst) -> valueToTest != valueToCompareAgainst;


    DoublePredicate isMissing = i -> i != i;

    DoublePredicate isNotMissing = i -> i == i;
}