NumericColumn (tablesaw-core 0.30.0 API)

All Superinterfaces:

Column<T>, Comparator<T>, Iterable<T>, NumberFilters, NumberMapFunctions

All Known Implementing Classes:

DoubleColumn, FloatColumn, IntColumn, LongColumn, NumberColumn, ShortColumn
```
public interface NumericColumn<T>
extends Column<T>, NumberMapFunctions, NumberFilters
```

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`default double[]`	`asDoubleArray()`
`default DoubleColumn`	`asDoubleColumn()` Returns a new DoubleColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
`default FloatColumn`	`asFloatColumn()` Returns a new FloatColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
`default IntColumn`	`asIntColumn()` Returns a new IntColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
`default LongColumn`	`asLongColumn()` Returns a new LongColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
`default ShortColumn`	`asShortColumn()`
`default int`	`count(DoublePredicate test)` Counts the number of rows satisfying predicate
`default int`	`count(DoublePredicate test, int max)` Counts the number of rows satisfying predicate, but only upto the max value
`default Selection`	`eval(BiPredicate<Number,Number> predicate, Number number)`
`default Selection`	`eval(DoubleBiPredicate predicate, DoubleColumn otherColumn)`
`default Selection`	`eval(DoubleBiPredicate predicate, Number number)`
`default Selection`	`eval(DoublePredicate predicate)`
`default Selection`	`eval(DoubleRangePredicate predicate, Number rangeStart, Number rangeEnd)`
`default double`	`geometricMean()`
`double`	`getDouble(int index)`
`default boolean`	`isEmpty()` Returns true if the column has no data
`default Selection`	`isIn(double... doubles)`
`default Selection`	`isIn(Number... numbers)`
`default Selection`	`isMissing()`
`default Selection`	`isNotIn(double... doubles)`
`default Selection`	`isNotIn(Number... numbers)`
`default Selection`	`isNotMissing()`
`default double`	`kendalls(NumericColumn<?> otherColumn)` Returns the Kendall's Tau Rank correlation between the receiver and the otherColumn
`default double`	`kurtosis()`
`NumericColumn<T>`	`lag(int n)` Returns a column of the same type and size as the receiver, containing the receivers values offset by n.
`default NumericColumn<T>`	`lead(int n)` Returns a column of the same type as the receiver, containing the receivers values offset -n For example if you lead a column containing 2, 3, 4 by 1, you get a column containing 3, 4, NA.
`default <R> Column<R>`	`mapInto(DoubleFunction<? extends R> fun, Column<R> into)` Maps the function across all rows, appending the results to the provided Column
`default double`	`max()`
`default Optional<Double>`	`max(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)` Returns the maximum row according to the provided Comparator
`default double`	`mean()`
`default double`	`median()`
`default double`	`min()`
`default Optional<Double>`	`min(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)` Returns the minimum row according to the provided Comparator
`default double`	`pearsons(NumericColumn<?> otherColumn)` Returns the pearson's correlation between the receiver and the otherColumn
`default double`	`percentile(double percentile)`
`default double`	`populationVariance()`
`default double`	`product()`
`default double`	`quadraticMean()` Returns the quadraticMean, aka the root-mean-square, for all values in this column
`default double`	`quartile1()`
`default double`	`quartile3()`
`default double`	`range()`
`default Optional<Double>`	`reduce(DoubleBinaryOperator op)` Reduction with binary operator
`default double`	`reduce(double initial, DoubleBinaryOperator op)` Reduction with binary operator and initial value
`default NumberRollingColumn`	`rolling(int windowSize)`
`default double`	`skewness()`
`default double`	`spearmans(NumericColumn<?> otherColumn)` Returns the Spearman's Rank correlation between the receiver and the otherColumn
`default double`	`standardDeviation()`
`default Stats`	`stats()`
`default double`	`sum()`
`default Double`	`summarize(Selection selection, NumericAggregateFunction function)` Summarizes the data in this column for all rows where the current value matches the selection criteria
`default Table`	`summary()`
`default double`	`sumOfLogs()`
`default double`	`sumOfSquares()`
`default double`	`variance()`
`default NumericColumn<T>`	`where(Selection selection)`

Methods inherited from interface tech.tablesaw.columns.Column
allMatch, anyMatch, append, append, append, appendCell, appendCell, appendMissing, appendObj, asBytes, asList, asObjectArray, byteSize, clear, columnWidth, contains, copy, count, count, countMissing, countUnique, emptyCopy, emptyCopy, filter, first, get, getString, getUnformattedString, inRange, isMissing, last, map, mapInto, max, max, min, min, name, noneMatch, print, reduce, reduce, removeMissing, rowComparator, sampleN, sampleX, set, set, set, set, setMissing, setName, size, sortAscending, sortDescending, sorted, subset, title, type, unique

Methods inherited from interface java.lang.Iterable
forEach, iterator, spliterator

Methods inherited from interface java.util.Comparator
compare, comparing, comparing, comparingDouble, comparingInt, comparingLong, equals, naturalOrder, nullsFirst, nullsLast, reversed, reverseOrder, thenComparing, thenComparing, thenComparing, thenComparingDouble, thenComparingInt, thenComparingLong

Methods inherited from interface tech.tablesaw.columns.numbers.NumberMapFunctions
abs, add, add, add, asPercent, asRatio, bin, cube, cubeRoot, cumProd, cumSum, difference, divide, divide, divide, log10, log1p, logN, multiply, multiply, multiply, name, neg, normalize, pctChange, power, remainder, round, roundInt, size, sqrt, square, subtract, subtract, subtract

Methods inherited from interface tech.tablesaw.columns.numbers.NumberFilters
isBetweenExclusive, isBetweenInclusive, isCloseTo, isEqualTo, isEqualTo, isGreaterThan, isGreaterThan, isGreaterThanOrEqualTo, isGreaterThanOrEqualTo, isLessThan, isLessThan, isLessThanOrEqualTo, isLessThanOrEqualTo, isNegative, isNonNegative, isNotEqualTo, isNotEqualTo, isPositive, isZero, size

- Method Detail
  - isEmpty
```
default boolean isEmpty()
```
    Description copied from interface: Column
    
    Returns true if the column has no data
    
    Specified by:
    
    isEmpty in interface Column<T>
    
    Specified by:
    
    isEmpty in interface NumberMapFunctions
    
    Returns:
    
    true if empty, false if not
  - asDoubleArray
```
default double[] asDoubleArray()
```
    Specified by:
    
    asDoubleArray in interface NumberMapFunctions
  - eval
```
default Selection eval(DoublePredicate predicate)
```
    Specified by:
    
    eval in interface NumberFilters
  - eval
```
default Selection eval(DoubleBiPredicate predicate,
                       DoubleColumn otherColumn)
```
    Specified by:
    
    eval in interface NumberFilters
  - eval
```
default Selection eval(DoubleBiPredicate predicate,
                       Number number)
```
    Specified by:
    
    eval in interface NumberFilters
  - eval
```
default Selection eval(BiPredicate<Number,Number> predicate,
                       Number number)
```
    Specified by:
    
    eval in interface NumberFilters
  - eval
```
default Selection eval(DoubleRangePredicate predicate,
                       Number rangeStart,
                       Number rangeEnd)
```
    Specified by:
    
    eval in interface NumberFilters
  - isIn
```
default Selection isIn(Number... numbers)
```
    Specified by:
    
    isIn in interface NumberFilters
  - isIn
```
default Selection isIn(double... doubles)
```
    Specified by:
    
    isIn in interface NumberFilters
  - isNotIn
```
default Selection isNotIn(Number... numbers)
```
    Specified by:
    
    isNotIn in interface NumberFilters
  - isNotIn
```
default Selection isNotIn(double... doubles)
```
    Specified by:
    
    isNotIn in interface NumberFilters
  - isMissing
```
default Selection isMissing()
```
    Specified by:
    
    isMissing in interface Column<T>
    
    Specified by:
    
    isMissing in interface NumberFilters
  - isNotMissing
```
default Selection isNotMissing()
```
    Specified by:
    
    isNotMissing in interface Column<T>
    
    Specified by:
    
    isNotMissing in interface NumberFilters
  - count
```
default int count(DoublePredicate test)
```
    Counts the number of rows satisfying predicate
    
    Parameters:
    
    test - the predicate
    
    Returns:
    
    the number of rows satisfying the predicate
  - count
```
default int count(DoublePredicate test,
                  int max)
```
    Counts the number of rows satisfying predicate, but only upto the max value
    
    Parameters:
    
    test - the predicate
    
    max - the maximum number of rows to count
    
    Returns:
    
    the number of rows satisfying the predicate
  - max
```
default Optional<Double> max(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)
```
    Returns the maximum row according to the provided Comparator
    
    Parameters:
    
    comp -
    
    Returns:
    
    the maximum row
  - min
```
default Optional<Double> min(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)
```
    Returns the minimum row according to the provided Comparator
    
    Parameters:
    
    comp -
    
    Returns:
    
    the minimum row
  - reduce
```
default double reduce(double initial,
                      DoubleBinaryOperator op)
```
    Reduction with binary operator and initial value
    
    Parameters:
    
    initial - initial value
    
    op - the operator
    
    Returns:
    
    the result of reducing initial value and all rows with operator
  - reduce
```
default Optional<Double> reduce(DoubleBinaryOperator op)
```
    Reduction with binary operator
    
    Parameters:
    
    op - the operator
    
    Returns:
    
    Optional with the result of reducing all rows with operator
  - mapInto
```
default <R> Column<R> mapInto(DoubleFunction<? extends R> fun,
                              Column<R> into)
```
    Maps the function across all rows, appending the results to the provided Column
    
    Parameters:
    
    fun - function to map
    
    into - Column to which results are appended
    
    Returns:
    
    the provided Column, to which results are appended
  - where
```
default NumericColumn<T> where(Selection selection)
```
    Specified by:
    
    where in interface Column<T>
  - summarize
```
default Double summarize(Selection selection,
                         NumericAggregateFunction function)
```
    Summarizes the data in this column for all rows where the current value matches the selection criteria
    Example: myColumn.summarize(myColumn.isLessThan(100), AggregateFunctions.count);
  - sum
```
default double sum()
```
    Specified by:
    
    sum in interface NumberMapFunctions
  - product
```
default double product()
```
  - mean
```
default double mean()
```
  - median
```
default double median()
```
  - quartile1
```
default double quartile1()
```
  - quartile3
```
default double quartile3()
```
  - percentile
```
default double percentile(double percentile)
```
  - range
```
default double range()
```
  - max
```
default double max()
```
  - min
```
default double min()
```
  - variance
```
default double variance()
```
  - populationVariance
```
default double populationVariance()
```
  - standardDeviation
```
default double standardDeviation()
```
  - sumOfLogs
```
default double sumOfLogs()
```
  - sumOfSquares
```
default double sumOfSquares()
```
  - geometricMean
```
default double geometricMean()
```
  - quadraticMean
```
default double quadraticMean()
```
    Returns the quadraticMean, aka the root-mean-square, for all values in this column
  - kurtosis
```
default double kurtosis()
```
  - skewness
```
default double skewness()
```
  - pearsons
```
default double pearsons(NumericColumn<?> otherColumn)
```
    Returns the pearson's correlation between the receiver and the otherColumn
  - spearmans
```
default double spearmans(NumericColumn<?> otherColumn)
```
    Returns the Spearman's Rank correlation between the receiver and the otherColumn
    
    Parameters:
    
    otherColumn - A NumberColumn with no missing values
    
    Throws:
    
    org.apache.commons.math3.exception.NotANumberException - if either column contains any missing values
  - kendalls
```
default double kendalls(NumericColumn<?> otherColumn)
```
    Returns the Kendall's Tau Rank correlation between the receiver and the otherColumn
  - summary
```
default Table summary()
```
    Specified by:
    
    summary in interface Column<T>
  - stats
```
default Stats stats()
```
  - rolling
```
default NumberRollingColumn rolling(int windowSize)
```
    Specified by:
    
    rolling in interface Column<T>
  - lead
```
default NumericColumn<T> lead(int n)
```
    Description copied from interface: Column
    
    Returns a column of the same type as the receiver, containing the receivers values offset -n For example if you lead a column containing 2, 3, 4 by 1, you get a column containing 3, 4, NA.
    
    Specified by:
    
    lead in interface Column<T>
  - lag
```
NumericColumn<T> lag(int n)
```
    Description copied from interface: Column
    
    Returns a column of the same type and size as the receiver, containing the receivers values offset by n.
    For example if you lag a column containing 2, 3, 4 by 1, you get a column containing NA, 2, 3
    
    Specified by:
    
    lag in interface Column<T>
  - getDouble
```
double getDouble(int index)
```
    Specified by:
    
    getDouble in interface NumberFilters
    
    Specified by:
    
    getDouble in interface NumberMapFunctions
  - asLongColumn
```
default LongColumn asLongColumn()
```
    Returns a new LongColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
  - asIntColumn
```
default IntColumn asIntColumn()
```
    Returns a new IntColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
  - asFloatColumn
```
default FloatColumn asFloatColumn()
```
    Returns a new FloatColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
  - asDoubleColumn
```
default DoubleColumn asDoubleColumn()
```
    Returns a new DoubleColumn containing a value for each value in this column The exact behavior when overridden depends on the type of the receiver (LongColumn, FloatColumn, etc.) In this version, the result is a copy of the original
  - asShortColumn
```
default ShortColumn asShortColumn()
```

Interface NumericColumn<T>

Method Summary

Methods inherited from interface tech.tablesaw.columns.Column

Methods inherited from interface java.lang.Iterable

Methods inherited from interface java.util.Comparator

Methods inherited from interface tech.tablesaw.columns.numbers.NumberMapFunctions

Methods inherited from interface tech.tablesaw.columns.numbers.NumberFilters

Method Detail

isEmpty

asDoubleArray

eval

eval

eval

eval

eval

isIn

isIn

isNotIn

isNotIn

isMissing

isNotMissing

count

count

max

min

reduce

reduce

mapInto

where

summarize

sum

product

mean

median

quartile1

quartile3

percentile

range

max

min

variance

populationVariance

standardDeviation

sumOfLogs

sumOfSquares

geometricMean

quadraticMean

kurtosis

skewness

pearsons

spearmans

kendalls

summary

stats

rolling

lead

lag

getDouble

asLongColumn

asIntColumn

asFloatColumn

asDoubleColumn

asShortColumn