public class DoubleColumn extends NumberColumn<DoubleColumn,Double> implements NumberFillers<DoubleColumn>
comparator, locale
DEFAULT_ARRAY_SIZE
Modifier | Constructor and Description |
---|---|
protected |
DoubleColumn(String name) |
protected |
DoubleColumn(String name,
it.unimi.dsi.fastutil.doubles.DoubleArrayList data) |
Modifier and Type | Method and Description |
---|---|
DoubleColumn |
append(Column<Double> column) |
DoubleColumn |
append(Column<Double> column,
int row) |
DoubleColumn |
append(double d)
Adds the given double to this column
|
DoubleColumn |
append(Double val) |
DoubleColumn |
append(float f)
Adds the given float to this column
|
DoubleColumn |
append(int i) |
DoubleColumn |
append(Number val) |
DoubleColumn |
appendCell(String value) |
DoubleColumn |
appendCell(String value,
AbstractColumnParser<?> parser) |
DoubleColumn |
appendMissing()
Appends a missing value appropriate to the column
|
DoubleColumn |
appendObj(Object obj) |
byte[] |
asBytes(int rowNumber)
Returns the contents of the cell at rowNumber as a byte[]
|
FloatColumn |
asFloatColumn()
Returns a new FloatColumn containing a value for each value in this column, truncating if
necessary.
|
IntColumn |
asIntColumn()
Returns a new IntColumn containing a value for each value in this column, truncating if
necessary.
|
LongColumn |
asLongColumn()
Returns a new LongColumn containing a value for each value in this column, truncating if
necessary
|
Double[] |
asObjectArray() |
ShortColumn |
asShortColumn()
Returns a new ShortColumn containing a value for each value in this column, truncating if
necessary.
|
DoubleColumn |
bottom(int n)
Returns the smallest ("bottom") n values in the column TODO(lwhite): Consider whether this
should exclude missing
|
void |
clear() |
int |
compare(Double o1,
Double o2) |
DoubleColumn |
copy()
Returns a deep copy of the receiver
|
int |
countUnique()
Returns the count of unique values in this column.
|
static DoubleColumn |
create(String name) |
static DoubleColumn |
create(String name,
double[] arr) |
static DoubleColumn |
create(String name,
DoubleStream stream) |
static DoubleColumn |
create(String name,
float[] arr) |
static DoubleColumn |
create(String name,
int initialSize) |
static DoubleColumn |
create(String name,
int[] arr) |
static DoubleColumn |
create(String name,
List<Number> numberList) |
static DoubleColumn |
create(String name,
long[] arr) |
static DoubleColumn |
create(String name,
Number[] numbers) |
DoubleColumn |
createCol(String name) |
DoubleColumn |
createCol(String name,
int initialSize) |
DoubleColumn |
fillWith(double d) |
DoubleColumn |
fillWith(it.unimi.dsi.fastutil.doubles.DoubleIterator iterator) |
DoubleColumn |
fillWith(DoubleRangeIterable iterable) |
DoubleColumn |
fillWith(DoubleSupplier supplier) |
DoubleColumn |
filter(DoublePredicate test)
Returns a new NumberColumn with only those rows satisfying the predicate
|
Double |
get(int index) |
double |
getDouble(int row) |
String |
getString(int row)
Returns a string representation of the value at the given row.
|
String |
getUnformattedString(int row) |
boolean |
isMissing(int rowNumber) |
boolean |
isMissingValue(double value) |
Iterator<Double> |
iterator() |
DoubleColumn |
lag(int n)
Returns a column of the same type and size as the receiver, containing the receivers values
offset by n.
|
DoubleColumn |
removeMissing() |
DoubleColumn |
set(DoublePredicate condition,
NumericColumn<?> other)
Updates this column where values matching the selection are replaced with the corresponding
value from the given column
|
DoubleColumn |
set(int row,
Column<Double> column,
int sourceRow) |
DoubleColumn |
set(int i,
double val) |
DoubleColumn |
set(int i,
Double val) |
DoubleColumn |
setMissing(int index) |
int |
size() |
void |
sortAscending() |
void |
sortDescending() |
DoubleColumn |
subset(int[] rows) |
DoubleColumn |
top(int n)
Returns the largest ("top") n values in the column TODO(lwhite): Consider whether this should
exclude missing
|
DoubleColumn |
unique()
Returns a column of the same type as the receiver, containing only the unique values of the
receiver.
|
static boolean |
valueIsMissing(double value) |
DoubleColumn |
where(Selection selection) |
byteSize, countMissing, emptyCopy, emptyCopy, getPrintFormatter, rowComparator, set, set, setPrintFormatter, setPrintFormatter
asStringColumn, filter, first, inRange, last, map, max, min, name, sampleN, sampleX, set, set, setName, sorted, toString, type
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
allMatch, anyMatch, asDoubleArray, asDoubleColumn, asStringColumn, autoCorrelation, autoCorrelation, count, count, eval, eval, geometricMean, interpolate, isEmpty, isIn, isIn, isMissing, isNotIn, isNotIn, isNotMissing, kendalls, kurtosis, lead, mapInto, max, max, mean, median, min, min, noneMatch, pctChange, pearsons, percentile, populationVariance, product, quadraticMean, quartile1, quartile3, range, reduce, reduce, rolling, skewness, spearmans, standardDeviation, stats, sum, summarize, summary, sumOfLogs, sumOfSquares, variance
allMatch, anyMatch, asList, columnWidth, contains, count, count, filter, first, inRange, last, map, map, mapInto, max, max, min, min, name, noneMatch, print, reduce, reduce, sampleN, sampleX, set, set, set, setMissingTo, setName, sorted, title, type
forEach, spliterator
comparing, comparing, comparingDouble, comparingInt, comparingLong, equals, naturalOrder, nullsFirst, nullsLast, reversed, reverseOrder, thenComparing, thenComparing, thenComparing, thenComparingDouble, thenComparingInt, thenComparingLong
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, power, reciprocal, remainder, remainder, round, roundInt, sqrt, square, subtract, subtract, subtract
isBetweenExclusive, isBetweenInclusive, isCloseTo, isEqualTo, isEqualTo, isGreaterThan, isGreaterThan, isGreaterThanOrEqualTo, isGreaterThanOrEqualTo, isLessThan, isLessThan, isLessThanOrEqualTo, isLessThanOrEqualTo, isNegative, isNonNegative, isNotEqualTo, isNotEqualTo, isPositive, isZero
protected DoubleColumn(String name, it.unimi.dsi.fastutil.doubles.DoubleArrayList data)
protected DoubleColumn(String name)
public static boolean valueIsMissing(double value)
public String getString(int row)
Column
getString
in interface Column<Double>
getString
in class NumberColumn<DoubleColumn,Double>
row
- The index of the row.public int size()
size
in interface Column<Double>
size
in interface NumberFilters
size
in interface NumberMapFunctions
public DoubleColumn setMissing(int index)
setMissing
in interface Column<Double>
public static DoubleColumn create(String name, double[] arr)
public static DoubleColumn create(String name)
public static DoubleColumn create(String name, float[] arr)
public static DoubleColumn create(String name, int[] arr)
public static DoubleColumn create(String name, long[] arr)
public static DoubleColumn create(String name, List<Number> numberList)
public static DoubleColumn create(String name, Number[] numbers)
public static DoubleColumn create(String name, int initialSize)
public static DoubleColumn create(String name, DoubleStream stream)
public DoubleColumn createCol(String name, int initialSize)
createCol
in class NumberColumn<DoubleColumn,Double>
public DoubleColumn createCol(String name)
createCol
in class NumberColumn<DoubleColumn,Double>
public DoubleColumn where(Selection selection)
public DoubleColumn subset(int[] rows)
subset
in interface Column<Double>
subset
in class AbstractColumn<DoubleColumn,Double>
public DoubleColumn unique()
Column
public DoubleColumn top(int n)
NumberColumn
top
in class NumberColumn<DoubleColumn,Double>
n
- The maximum number of records to return. The actual number will be smaller if n is
greater than the number of observations in the columnpublic DoubleColumn bottom(int n)
NumberColumn
bottom
in class NumberColumn<DoubleColumn,Double>
n
- The maximum number of records to return. The actual number will be smaller if n is
greater than the number of observations in the columnpublic DoubleColumn lag(int n)
Column
For example if you lag a column containing 2, 3, 4 by 1, you get a column containing NA, 2, 3
public DoubleColumn removeMissing()
removeMissing
in interface Column<Double>
public DoubleColumn append(float f)
public DoubleColumn append(double d)
public DoubleColumn append(int i)
public DoubleColumn append(Double val)
public DoubleColumn append(Number val)
public DoubleColumn copy()
Column
copy
in interface NumericColumn<Double>
copy
in interface Column<Double>
copy
in class NumberColumn<DoubleColumn,Double>
Column
public Double[] asObjectArray()
asObjectArray
in interface Column<Double>
public int compare(Double o1, Double o2)
compare
in interface Comparator<Double>
public DoubleColumn set(int i, Double val)
public DoubleColumn set(int i, double val)
public DoubleColumn set(DoublePredicate condition, NumericColumn<?> other)
public DoubleColumn append(Column<Double> column)
public DoubleColumn append(Column<Double> column, int row)
public DoubleColumn set(int row, Column<Double> column, int sourceRow)
public DoubleColumn filter(DoublePredicate test)
test
- the predicatepublic byte[] asBytes(int rowNumber)
NumberColumn
asBytes
in interface Column<Double>
asBytes
in class NumberColumn<DoubleColumn,Double>
rowNumber
- index of the rowpublic int countUnique()
Column
countUnique
in interface Column<Double>
public double getDouble(int row)
getDouble
in interface NumericColumn<Double>
getDouble
in interface NumberFilters
getDouble
in interface NumberMapFunctions
public boolean isMissingValue(double value)
public boolean isMissing(int rowNumber)
isMissing
in interface Column<Double>
isMissing
in interface NumberMapFunctions
public void sortAscending()
sortAscending
in interface Column<Double>
public void sortDescending()
sortDescending
in interface Column<Double>
public DoubleColumn appendMissing()
Column
appendMissing
in interface Column<Double>
appendMissing
in class NumberColumn<DoubleColumn,Double>
public DoubleColumn appendObj(Object obj)
public DoubleColumn appendCell(String value)
appendCell
in interface Column<Double>
public DoubleColumn appendCell(String value, AbstractColumnParser<?> parser)
appendCell
in interface Column<Double>
public String getUnformattedString(int row)
getUnformattedString
in interface Column<Double>
public DoubleColumn fillWith(it.unimi.dsi.fastutil.doubles.DoubleIterator iterator)
fillWith
in interface NumberFillers<DoubleColumn>
public DoubleColumn fillWith(DoubleRangeIterable iterable)
fillWith
in interface NumberFillers<DoubleColumn>
public DoubleColumn fillWith(DoubleSupplier supplier)
fillWith
in interface NumberFillers<DoubleColumn>
public DoubleColumn fillWith(double d)
fillWith
in interface NumberFillers<DoubleColumn>
public LongColumn asLongColumn()
A narrowing primitive conversion such as this one may lose information about the overall magnitude of a numeric value and may also lose precision and range. Specifically, if the value is too small (a negative value of large magnitude or negative infinity), the result is the smallest representable value of type long.
Similarly, if the value is too large (a positive value of large magnitude or positive infinity), the result is the largest representable value of type long.
Despite the fact that overflow, underflow, or other loss of information may occur, a narrowing primitive conversion never results in a run-time exception.
A missing value in the receiver is converted to a missing value in the result
asLongColumn
in interface NumericColumn<Double>
public IntColumn asIntColumn()
A narrowing primitive conversion such as this one may lose information about the overall magnitude of a numeric value and may also lose precision and range. Specifically, if the value is too small (a negative value of large magnitude or negative infinity), the result is the smallest representable value of type int.
Similarly, if the value is too large (a positive value of large magnitude or positive infinity), the result is the largest representable value of type int.
Despite the fact that overflow, underflow, or other loss of information may occur, a narrowing primitive conversion never results in a run-time exception.
A missing value in the receiver is converted to a missing value in the result
asIntColumn
in interface NumericColumn<Double>
public ShortColumn asShortColumn()
A narrowing primitive conversion such as this one may lose information about the overall magnitude of a numeric value and may also lose precision and range. Specifically, if the value is too small (a negative value of large magnitude or negative infinity), the result is the smallest representable value of type int.
Similarly, if the value is too large (a positive value of large magnitude or positive infinity), the result is the largest representable value of type short.
Despite the fact that overflow, underflow, or other loss of information may occur, a narrowing primitive conversion never results in a run-time exception.
A missing value in the receiver is converted to a missing value in the result
asShortColumn
in interface NumericColumn<Double>
public FloatColumn asFloatColumn()
A narrowing primitive conversion such as this one may lose information about the overall magnitude of a numeric value and may also lose precision and range. Specifically, if the value is too small (a negative value of large magnitude or negative infinity), the result is the smallest representable value of type float.
Similarly, if the value is too large (a positive value of large magnitude or positive infinity), the result is the largest representable value of type float.
Despite the fact that overflow, underflow, or other loss of information may occur, a narrowing primitive conversion never results in a run-time exception.
A missing value in the receiver is converted to a missing value in the result
asFloatColumn
in interface NumericColumn<Double>
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