Package com.cupoftea.table.vector

Class DoubleColumnVector

java.lang.Object

com.cupoftea.table.vector.ColumnVector

com.cupoftea.table.vector.DoubleColumnVector

All Implemented Interfaces:

Serializable

public class DoubleColumnVector
extends ColumnVector

High-performance primitive columnar vector for 64-bit IEEE 754 floating point doubles.

See Also:

• Serialized Form

Field Summary

Fields inherited from class com.cupoftea.table.vector.ColumnVector

DEFAULT_INITIAL_CAPACITY, dt, name, nullable, nulls, size, str, type

Constructor Summary

Constructors

Constructor	Description
DoubleColumnVector(String name, boolean nullable, double[] data, BitSet nulls, int size)
DoubleColumnVector(String name, double[] data, BitSet nulls, int size)
DoubleColumnVector(String name, int initialCapacity, boolean nullable)

Method Summary

Modifier and Type	Method	Description
void	appendDouble(double val)
void	appendNull()
void	appendObject(Object value)
void	clear()
int	compareRows(int rowA, int rowB)
ColumnVector	copy()
void	copyIndexedValuesOnly(ColumnVector src, int[] srcIndices, int count, int dstOffset)	Copies values (without modifying the shared null BitSet) at srcIndices[0 .. count) from src into this starting at dstOffset.
void	copyNullableIndexedValuesOnly(ColumnVector src, int[] srcIndices, int count, int dstOffset)	Copies values (without modifying the shared null BitSet) at srcIndices[0 .. count) from src into this starting at dstOffset, where negative indices (-1) represent unmatched/null rows.
void	fillna(Object value)
ColumnVector	filter(BitSet retainMask, int retainedCount)	Creates a new filtered ColumnVector without mutating this or performing a redundant full copy.
void	filterInPlace(BitSet retainMask, int retainedCount)
double	getDouble(int row)
Object	getObject(int row)
double[]	getRawData()
DoubleColumnVector	mapDouble(DoubleUnaryOperator mapper)
DoubleColumnVector	mapDouble(DoubleUnaryOperator mapper, ExecutorService executor, int parallelThreshold)
double	max()	Computes the maximum value, or Double.NaN if column has no valid values.
Object	max(int from, int to)
Object	max(ExecutorService executor, int parallelThreshold)
Object	maxIndexed(int[] indices, int count)
Object	mean(int from, int to)
Object	mean(ExecutorService executor, int parallelThreshold)
Object	meanIndexed(int[] indices, int count)
double	min()	Computes the minimum value, or Double.NaN if column has no valid values.
Object	min(int from, int to)
Object	min(ExecutorService executor, int parallelThreshold)
Object	minIndexed(int[] indices, int count)
void	permute(int[] order)
void	remove(int row)
void	setDouble(int row, double val)
void	setObject(int row, Object value)
protected void	setObjectValueOnly(int row, Object value)
void	setSizeUnchecked(int newSize)
ColumnVector	slice(int from, int to)
double	sum()	Computes the sum of non-null values, or Double.NaN if column has no valid values.
Object	sum(int from, int to)
Object	sum(ExecutorService executor, int parallelThreshold)
double	sumDouble()
double	sumDouble(int from, int to)
double	sumDouble(ExecutorService executor, int parallelThreshold)
Object	sumIndexed(int[] indices, int count)
double[]	toDoubleArray()
double[]	toPrimitiveDoubleArray()	Extracts non-null, non-NA values into a contiguous primitive double[] array.
double	variance(boolean isSample)	Computes sample (isSample=true, ddof=1) or population (isSample=false, ddof=0) variance.

Methods inherited from class com.cupoftea.table.vector.ColumnVector

appendBoolean, appendFloat, appendInt, appendLong, appendString, applyNullsFromIndexed, applyNullsFromNullableIndexed, checkRowBounds, checkSliceBounds, clearNull, countNonNull, countNonNull, countNonNull, countNonNullIndexed, create, create, createEmptyWithSameEncoding, dt, filter, filterFromChunks, get, getBoolean, getFloat, getInt, getLong, getName, getNullCount, getNulls, getString, getType, hasNulls, isDictionaryEncoded, isNull, isNullable, kurt, kurtosis, kurtosis, map, map, max, mean, mean, median, min, nullCount, partition, quantile, setBoolean, setFloat, setInt, setLong, setName, setNull, setNullable, setString, setType, size, skew, skewness, skewness, sliceView, standardDeviation, standardDeviation, std, std, str, sum, toCategorical, toDictionary, toDictionary, validCount, var, var, variance

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

DoubleColumnVector

public DoubleColumnVector(String name,
 int initialCapacity,
 boolean nullable)

DoubleColumnVector

public DoubleColumnVector(String name,
 double[] data,
 BitSet nulls,
 int size)

DoubleColumnVector

public DoubleColumnVector(String name,
 boolean nullable,
 double[] data,
 BitSet nulls,
 int size)

Method Details

getRawData

public double[] getRawData()

setSizeUnchecked

public void setSizeUnchecked(int newSize)

Overrides:

setSizeUnchecked in class ColumnVector

getDouble

public double getDouble(int row)

Overrides:

getDouble in class ColumnVector

setDouble

public void setDouble(int row,
 double val)

Overrides:

setDouble in class ColumnVector

appendDouble

public void appendDouble(double val)

Overrides:

appendDouble in class ColumnVector

getObject

public Object getObject(int row)

Specified by:

getObject in class ColumnVector

setObject

public void setObject(int row,
 Object value)

Specified by:

setObject in class ColumnVector

setObjectValueOnly

protected void setObjectValueOnly(int row,
 Object value)

Overrides:

setObjectValueOnly in class ColumnVector

appendObject

public void appendObject(Object value)

Specified by:

appendObject in class ColumnVector

appendNull

public void appendNull()

Specified by:

appendNull in class ColumnVector

remove

public void remove(int row)

Specified by:

remove in class ColumnVector

copy

public ColumnVector copy()

Specified by:

copy in class ColumnVector

slice

public ColumnVector slice(int from,
 int to)

Specified by:

slice in class ColumnVector

fillna

public void fillna(Object value)

Specified by:

fillna in class ColumnVector

permute

public void permute(int[] order)

Specified by:

permute in class ColumnVector

filter

public ColumnVector filter(BitSet retainMask,
 int retainedCount)

Description copied from class: ColumnVector

Creates a new filtered ColumnVector without mutating this or performing a redundant full copy.

Overrides:

filter in class ColumnVector

filterInPlace

public void filterInPlace(BitSet retainMask,
 int retainedCount)

Specified by:

filterInPlace in class ColumnVector

copyIndexedValuesOnly

public void copyIndexedValuesOnly(ColumnVector src,
 int[] srcIndices,
 int count,
 int dstOffset)

Description copied from class: ColumnVector

Copies values (without modifying the shared null BitSet) at srcIndices[0 .. count) from src into this starting at dstOffset. Safe for concurrent invocation across disjoint dstOffset ranges.

Overrides:

copyIndexedValuesOnly in class ColumnVector

copyNullableIndexedValuesOnly

public void copyNullableIndexedValuesOnly(ColumnVector src,
 int[] srcIndices,
 int count,
 int dstOffset)

Description copied from class: ColumnVector

Copies values (without modifying the shared null BitSet) at srcIndices[0 .. count) from src into this starting at dstOffset, where negative indices (-1) represent unmatched/null rows.

Overrides:

copyNullableIndexedValuesOnly in class ColumnVector

mapDouble

public DoubleColumnVector mapDouble(DoubleUnaryOperator mapper)

mapDouble

public DoubleColumnVector mapDouble(DoubleUnaryOperator mapper,
 ExecutorService executor,
 int parallelThreshold)

sumDouble

public double sumDouble()

sumDouble

public double sumDouble(int from,
 int to)

sumDouble

public double sumDouble(ExecutorService executor,
 int parallelThreshold)

sum

public Object sum(int from,
 int to)

Overrides:

sum in class ColumnVector

sum

public Object sum(ExecutorService executor,
 int parallelThreshold)

Overrides:

sum in class ColumnVector

sumIndexed

public Object sumIndexed(int[] indices,
 int count)

Overrides:

sumIndexed in class ColumnVector

min

public Object min(int from,
 int to)

Overrides:

min in class ColumnVector

min

public Object min(ExecutorService executor,
 int parallelThreshold)

Overrides:

min in class ColumnVector

minIndexed

public Object minIndexed(int[] indices,
 int count)

Overrides:

minIndexed in class ColumnVector

max

public Object max(int from,
 int to)

Overrides:

max in class ColumnVector

max

public Object max(ExecutorService executor,
 int parallelThreshold)

Overrides:

max in class ColumnVector

maxIndexed

public Object maxIndexed(int[] indices,
 int count)

Overrides:

maxIndexed in class ColumnVector

mean

public Object mean(int from,
 int to)

Overrides:

mean in class ColumnVector

mean

public Object mean(ExecutorService executor,
 int parallelThreshold)

Overrides:

mean in class ColumnVector

meanIndexed

public Object meanIndexed(int[] indices,
 int count)

Overrides:

meanIndexed in class ColumnVector

compareRows

public int compareRows(int rowA,
 int rowB)

Specified by:

compareRows in class ColumnVector

clear

public void clear()

Specified by:

clear in class ColumnVector

toDoubleArray

public double[] toDoubleArray()

toPrimitiveDoubleArray

public double[] toPrimitiveDoubleArray()

Description copied from class: ColumnVector

Extracts non-null, non-NA values into a contiguous primitive double[] array.

Overrides:

toPrimitiveDoubleArray in class ColumnVector

sum

public double sum()

Description copied from class: ColumnVector

Computes the sum of non-null values, or Double.NaN if column has no valid values.

Overrides:

sum in class ColumnVector

min

public double min()

Description copied from class: ColumnVector

Computes the minimum value, or Double.NaN if column has no valid values.

Overrides:

min in class ColumnVector

max

public double max()

Description copied from class: ColumnVector

Computes the maximum value, or Double.NaN if column has no valid values.

Overrides:

max in class ColumnVector

variance

public double variance(boolean isSample)

Description copied from class: ColumnVector

Computes sample (isSample=true, ddof=1) or population (isSample=false, ddof=0) variance.

Overrides:

variance in class ColumnVector