Type Parameters:

T -

All Superinterfaces:

Column<T>, Comparator<T>, FilterSpec<Selection>, Iterable<T>, NumberFilters, NumberFilterSpec<Selection>, NumberMapFunctions

All Known Implementing Classes:

DoubleColumn, FloatColumn, IntColumn, LongColumn, NumberColumn, ShortColumn
```
public interface NumericColumn<T extends Number>
extends Column<T>, NumberMapFunctions, NumberFilters
```
A Column of numeric values

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default boolean`	`allMatch(DoublePredicate test)`	Returns true if all rows satisfy the predicate, false otherwise
`default boolean`	`anyMatch(DoublePredicate test)`	Returns true if any row satisfies the predicate, false otherwise
`default double[]`	`asDoubleArray()`
`default DoubleColumn`	`asDoubleColumn()`	Returns a new DoubleColumn containing a value for each value in this column
`default FloatColumn`	`asFloatColumn()`	Returns a new FloatColumn containing a value for each value in this column
`default IntColumn`	`asIntColumn()`	Returns a new IntColumn containing a value for each value in this column
`default LongColumn`	`asLongColumn()`	Returns a new LongColumn containing a value for each value in this column
`default ShortColumn`	`asShortColumn()`	Returns a new ShortColumn containing a value for each value in this column
`StringColumn`	`asStringColumn()`	Returns a StringColumn consisting of the (unformatted) String representation of this column values
`default double`	`autoCorrelation()`	Returns the auto-correlation (correlation between each element and the next)
`default double`	`autoCorrelation(int lag)`	Returns the auto-correlation between elements separated by `lag`.
`NumericColumn<T>`	`copy()`	Returns a deep copy of the receiver
`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(DoublePredicate predicate)`
`default double`	`geometricMean()`	Returns the geometric mean of the data in this column
`double`	`getDouble(int index)`	Returns a double representation of the number at `index`
`default NumberInterpolator<T>`	`interpolate()`	Returns a `NumberInterpolator` object that can be used to interpolate values for elements missing in the column
`default boolean`	`isEmpty()`	Returns true if the column has no data
`default Selection`	`isIn(Collection<Number> numbers)`
`default Selection`	`isMissing()`	Returns a selection containing an index for every missing value in this column
`default Selection`	`isNotIn(Collection<Number> numbers)`
`default Selection`	`isNotMissing()`	Returns a selection containing an index for every non-missing value in this column
`default double`	`kendalls(NumericColumn<?> otherColumn)`	Returns the Kendall's Tau Rank correlation between the receiver and the otherColumn
`default double`	`kurtosis()`	Returns the kurtosis of the data in this column
`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 extends Column<RT>,RT> R`	`mapInto(DoubleFunction<? extends RT> fun, R into)`	Maps the function across all rows, appending the results to the provided Column
`default double`	`max()`	Returns the largest value in this column
`default Optional<Double>`	`max(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)`	Returns the maximum row according to the provided Comparator
`default double`	`mean()`	Returns the mean of the data in this column
`default double`	`median()`	Returns the median or 50th percentile of the data in this column
`default double`	`min()`	Returns the smallest value in this column
`default Optional<Double>`	`min(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)`	Returns the minimum row according to the provided Comparator
`default boolean`	`noneMatch(DoublePredicate test)`	Returns true if no row satisfies the predicate, false otherwise
`default DoubleColumn`	`pctChange(int periods)`	Returns a column containing the percentage change between values that are `periods` apart
`default double`	`pearsons(NumericColumn<?> otherColumn)`	Returns the pearson's correlation between the receiver and the otherColumn
`default double`	`percentile(double percentile)`	Returns the given percentile of the data in this column
`default double`	`populationVariance()`	Returns the population variance of the data in this column
`default double`	`product()`	Returns the product of values in this column
`default double`	`quadraticMean()`	Returns the quadraticMean, aka the root-mean-square, for all values in this column
`default double`	`quartile1()`	Returns the 1st quartile of the data in this column
`default double`	`quartile3()`	Returns the 3rd quartile of the data in this column
`default double`	`range()`	Returns the range of the data in this column
`default double`	`reduce(double initial, DoubleBinaryOperator op)`	Reduction with binary operator and initial value
`default Optional<Double>`	`reduce(DoubleBinaryOperator op)`	Reduction with binary operator
`default NumberRollingColumn`	`rolling(int windowSize)`	Returns a `RollingColumn` with the given windowSize, which can be used for performing calculations on rolling subsets of my data
`void`	`setPrintFormatter(NumberFormat format, String missingValueIndicator)`	Sets the print formatter to a new `ColumnFormatter` constructed from the given number format and missing value indicator TODO: make these return the column?
`void`	`setPrintFormatter(NumberColumnFormatter formatter)`	Sets the print formatter to the argument
`default double`	`skewness()`	Returns the skewness of the data in this column
`default double`	`spearmans(NumericColumn<?> otherColumn)`	Returns the Spearman's Rank correlation between the receiver and the otherColumn
`default double`	`standardDeviation()`	Returns the standard deviation of the data in this column
`default Stats`	`stats()`	Returns a `Stats` object that collects common statistical measures of the data in this column
`default double`	`sum()`	Returns the sum of the values in this column
`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()`	Returns a table of common statistical values that together describe the data in this column
`default double`	`sumOfLogs()`	Returns the sum of logs of the data in this column
`default double`	`sumOfSquares()`	Returns the sum of squares of the data in this column
`default double`	`variance()`	Returns the sample variance of the data in this column
`default NumericColumn<T>`	`where(Selection selection)`	Returns the subset of data in this column included in the given `Selection`

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

Methods inherited from interface java.util.Comparator
compare, equals, reversed, thenComparing, thenComparing, thenComparing, thenComparingDouble, thenComparingInt, thenComparingLong

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

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

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

- Method Detail
  - isEmpty
```
default boolean isEmpty()
```
    Returns true if the column has no data
    
    Specified by:
    
    isEmpty in interface Column<T extends Number>
    
    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(BiPredicate<Number,Number> predicate,
                       Number number)
```
    Specified by:
    
    eval in interface NumberFilters
  - isIn
```
default Selection isIn(Collection<Number> numbers)
```
    Specified by:
    
    isIn in interface NumberFilters
    
    Specified by:
    
    isIn in interface NumberFilterSpec<T extends Number>
  - isNotIn
```
default Selection isNotIn(Collection<Number> numbers)
```
    Specified by:
    
    isNotIn in interface NumberFilters
    
    Specified by:
    
    isNotIn in interface NumberFilterSpec<T extends Number>
  - isMissing
```
default Selection isMissing()
```
    Returns a selection containing an index for every missing value in this column
    
    Specified by:
    
    isMissing in interface Column<T extends Number>
    
    Specified by:
    
    isMissing in interface FilterSpec<T extends Number>
    
    Specified by:
    
    isMissing in interface NumberFilters
  - isNotMissing
```
default Selection isNotMissing()
```
    Returns a selection containing an index for every non-missing value in this column
    
    Specified by:
    
    isNotMissing in interface Column<T extends Number>
    
    Specified by:
    
    isNotMissing in interface FilterSpec<T extends Number>
    
    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
  - allMatch
```
default boolean allMatch(DoublePredicate test)
```
    Returns true if all rows satisfy the predicate, false otherwise
    
    Parameters:
    
    test - the predicate
    
    Returns:
    
    true if all rows satisfy the predicate, false otherwise
  - anyMatch
```
default boolean anyMatch(DoublePredicate test)
```
    Returns true if any row satisfies the predicate, false otherwise
    
    Parameters:
    
    test - the predicate
    
    Returns:
    
    true if any rows satisfies the predicate, false otherwise
  - noneMatch
```
default boolean noneMatch(DoublePredicate test)
```
    Returns true if no row satisfies the predicate, false otherwise
    
    Parameters:
    
    test - the predicate
    
    Returns:
    
    true if no row satisfies the predicate, false otherwise
  - max
```
default Optional<Double> max(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)
```
    Returns the maximum row according to the provided Comparator
  - min
```
default Optional<Double> min(it.unimi.dsi.fastutil.doubles.DoubleComparator comp)
```
    Returns the minimum row according to the provided Comparator
  - setPrintFormatter
```
void setPrintFormatter(NumberFormat format,
                       String missingValueIndicator)
```
    Sets the print formatter to a new ColumnFormatter constructed from the given number format and missing value indicator TODO: make these return the column?
  - setPrintFormatter
```
void setPrintFormatter(NumberColumnFormatter formatter)
```
    Sets the print formatter to the argument
  - 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 extends Column<RT>,RT> R mapInto(DoubleFunction<? extends RT> fun,
                                                  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)
```
    Returns the subset of data in this column included in the given Selection
    
    Specified by:
    
    where in interface Column<T extends Number>
  - interpolate
```
default NumberInterpolator<T> interpolate()
```
    Returns a NumberInterpolator object that can be used to interpolate values for elements missing in the column
    
    Specified by:
    
    interpolate in interface Column<T extends Number>
  - 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()
```
    Returns the sum of the values in this column
    
    Specified by:
    
    sum in interface NumberMapFunctions
  - product
```
default double product()
```
    Returns the product of values in this column
  - mean
```
default double mean()
```
    Returns the mean of the data in this column
  - median
```
default double median()
```
    Returns the median or 50th percentile of the data in this column
  - quartile1
```
default double quartile1()
```
    Returns the 1st quartile of the data in this column
  - quartile3
```
default double quartile3()
```
    Returns the 3rd quartile of the data in this column
  - percentile
```
default double percentile(double percentile)
```
    Returns the given percentile of the data in this column
  - range
```
default double range()
```
    Returns the range of the data in this column
  - max
```
default double max()
```
    Returns the largest value in this column
  - min
```
default double min()
```
    Returns the smallest value in this column
  - variance
```
default double variance()
```
    Returns the sample variance of the data in this column
  - populationVariance
```
default double populationVariance()
```
    Returns the population variance of the data in this column
  - standardDeviation
```
default double standardDeviation()
```
    Returns the standard deviation of the data in this column
  - sumOfLogs
```
default double sumOfLogs()
```
    Returns the sum of logs of the data in this column
  - sumOfSquares
```
default double sumOfSquares()
```
    Returns the sum of squares of the data in this column
  - geometricMean
```
default double geometricMean()
```
    Returns the geometric mean of the data in this column
  - quadraticMean
```
default double quadraticMean()
```
    Returns the quadraticMean, aka the root-mean-square, for all values in this column
  - kurtosis
```
default double kurtosis()
```
    Returns the kurtosis of the data in this column
  - skewness
```
default double skewness()
```
    Returns the skewness of the data in this column
  - pearsons
```
default double pearsons(NumericColumn<?> otherColumn)
```
    Returns the pearson's correlation between the receiver and the otherColumn
  - autoCorrelation
```
default double autoCorrelation()
```
    Returns the auto-correlation (correlation between each element and the next)
  - autoCorrelation
```
default double autoCorrelation(int lag)
```
    Returns the auto-correlation between elements separated by lag. If lag is 2, the correlation is computed between pairs of elements 0 and 2, 1 and 3; 2 and 4, etc.
  - 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()
```
    Returns a table of common statistical values that together describe the data in this column
    
    Specified by:
    
    summary in interface Column<T extends Number>
  - stats
```
default Stats stats()
```
    Returns a Stats object that collects common statistical measures of the data in this column
  - rolling
```
default NumberRollingColumn rolling(int windowSize)
```
    Returns a RollingColumn with the given windowSize, which can be used for performing calculations on rolling subsets of my data
    
    Specified by:
    
    rolling in interface Column<T extends Number>
    
    Parameters:
    
    windowSize - The number of elements to include in each calculation
    
    Returns:
    
    a RollingColumn
  - pctChange
```
default DoubleColumn pctChange(int periods)
```
    Returns a column containing the percentage change between values that are periods apart
  - lead
```
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.
    
    Specified by:
    
    lead in interface Column<T extends Number>
  - lag
```
NumericColumn<T> lag(int n)
```
    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 extends Number>
  - getDouble
```
double getDouble(int index)
```
    Returns a double representation of the number at 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()
```
    Returns a new ShortColumn 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
  - copy
```
NumericColumn<T> copy()
```
    Returns a deep copy of the receiver
    
    Specified by:
    
    copy in interface Column<T extends Number>
    
    Returns:
    
    a Column
  - asStringColumn
```
StringColumn asStringColumn()
```
    Returns a StringColumn consisting of the (unformatted) String representation of this column values
    
    Specified by:
    
    asStringColumn in interface Column<T extends Number>
    
    Returns:
    
    a StringColumn built using the column Column.getUnformattedString(int) method

Interface NumericColumn<T extends Number>

Method Summary

Methods inherited from interface tech.tablesaw.columns.Column

Methods inherited from interface java.util.Comparator

Methods inherited from interface java.lang.Iterable

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

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

Method Detail

isEmpty

asDoubleArray

eval

eval

isIn

isNotIn

isMissing

isNotMissing

count

count

allMatch

anyMatch

noneMatch

max

min

setPrintFormatter

setPrintFormatter

reduce

reduce

mapInto

where

interpolate

summarize

sum

product

mean

median

quartile1

quartile3

percentile

range

max

min

variance

populationVariance

standardDeviation

sumOfLogs

sumOfSquares

geometricMean

quadraticMean

kurtosis

skewness

pearsons

autoCorrelation

autoCorrelation

spearmans

kendalls

summary

stats

rolling

pctChange

lead

lag

getDouble

asLongColumn

asIntColumn

asFloatColumn

asDoubleColumn

asShortColumn

copy

asStringColumn