java.lang.Object
- tech.tablesaw.columns.AbstractColumn<C,T>
- - tech.tablesaw.api.NumberColumn<FloatColumn,Float>
  - - tech.tablesaw.api.FloatColumn

All Implemented Interfaces:

Iterable<Float>, Comparator<Float>, NumericColumn<Float>, Column<Float>, NumberFilters, NumberMapFunctions, FilterSpec<Selection>, NumberFilterSpec<Selection>
```
public class FloatColumn
extends NumberColumn<FloatColumn,Float>
```
A column that contains float values

Field Summary

Fields
Modifier and Type Field Description

protected it.unimi.dsi.fastutil.floats.FloatArrayList data
- Fields inherited from class tech.tablesaw.api.NumberColumn
  comparator, locale
- Fields inherited from class tech.tablesaw.columns.AbstractColumn
  DEFAULT_ARRAY_SIZE

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`FloatColumn`	`append(float i)`
`FloatColumn`	`append(Float val)`	Appends value to the bottom of this column and return this column
`FloatColumn`	`append(Column<Float> column)`	Appends all the values in the argument to the bottom of this column and return this column
`FloatColumn`	`append(Column<Float> column, int row)`	Appends the value at the given row in the given column to the bottom of this column and return this column
`FloatColumn`	`appendCell(String value)`	Add one element to the bottom of this column and set its value to the parsed value of the given String.
`FloatColumn`	`appendCell(String value, AbstractColumnParser<?> parser)`	Add one element to the bottom of this column and set its value to the parsed value of the given String, as performed by the given parser
`FloatColumn`	`appendMissing()`	Appends a missing value appropriate to the column
`FloatColumn`	`appendObj(Object obj)`	Appends the given value to the bottom of this column and return this column
`byte[]`	`asBytes(int rowNumber)`	Returns the contents of the cell at rowNumber as a byte[].
`DoubleColumn`	`asDoubleColumn()`	Returns a new DoubleColumn containing a value for each value in this column.
`float[]`	`asFloatArray()`
`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
`Float[]`	`asObjectArray()`	Returns an array of objects as appropriate for my type of column
`Set<Float>`	`asSet()`	Returns a Set containing all the unique values in this column
`ShortColumn`	`asShortColumn()`	Returns a new IntColumn containing a value for each value in this column, truncating if necessary.
`FloatColumn`	`bottom(int n)`	Returns the smallest ("bottom") n values in the column TODO(lwhite): Consider whether this should exclude missing
`void`	`clear()`	Removes all elements TODO: Make this return this column
`int`	`compare(Float o1, Float o2)`
`FloatColumn`	`copy()`	Returns a deep copy of the receiver
`int`	`countUnique()`	Returns the count of unique values in this column.
`static FloatColumn`	`create(String name)`
`static FloatColumn`	`create(String name, float... arr)`
`static FloatColumn`	`create(String name, int initialSize)`
`static FloatColumn`	`create(String name, Float[] arr)`
`static FloatColumn`	`create(String name, Stream<Float> stream)`
`FloatColumn`	`createCol(String name)`
`FloatColumn`	`createCol(String name, int initialSize)`
`boolean`	`equals(int rowNumber1, int rowNumber2)`	Returns true if the value in this column at rowNumber1 is equal to the value at rowNumber2
`Float`	`get(int index)`	Returns the value at the given zero-based index
`double`	`getDouble(int row)`	Returns a double representation of the number at `index`
`float`	`getFloat(int row)`	Returns a float representation of the data at the given index.
`String`	`getString(int row)`	Returns a string representation of the value at the given row.
`String`	`getUnformattedString(int row)`	Returns a String representation of the value at index r, without any formatting applied
`Selection`	`isIn(float... numbers)`
`boolean`	`isMissing(int rowNumber)`	Returns true if the value at rowNumber is missing
`boolean`	`isMissingValue(float value)`
`Selection`	`isNotIn(float... numbers)`
`Iterator<Float>`	`iterator()`
`FloatColumn`	`lag(int n)`	Returns a column of the same type and size as the receiver, containing the receivers values offset by n.
`FloatColumn`	`removeMissing()`	Returns a copy of this column with the missing values removed
`FloatColumn`	`set(int i, float val)`
`FloatColumn`	`set(int i, Float val)`	Sets the value at index row to the given value and return this column
`Column<Float>`	`set(int row, String stringValue, AbstractColumnParser<?> parser)`	Sets the value at row to the parsed value of the given String using the given parser and returns this column
`FloatColumn`	`set(int row, Column<Float> column, int sourceRow)`	Sets the value at row to the value at sourceRow in the given column and return this column
`FloatColumn`	`setMissing(int i)`	Sets the value at index i to the missing-value indicator for this column type, and return this column
`int`	`size()`	Returns the number of elements in this column, including missing values
`void`	`sortAscending()`	Sorts my values in ascending order
`void`	`sortDescending()`	Sorts my values in descending order
`FloatColumn`	`subset(int[] rows)`	Return a column of the same type containing just those elements whose indexes are included in the given array
`FloatColumn`	`top(int n)`	Returns the largest ("top") n values in the column TODO(lwhite): Consider whether this should exclude missing
`FloatColumn`	`unique()`	Returns a column of the same type containing only the unique values
`int`	`valueHash(int rowNumber)`	Returns an int suitable as a hash for the value in this column at the given index
`static boolean`	`valueIsMissing(float value)`

Methods inherited from class tech.tablesaw.api.NumberColumn
byteSize, countMissing, emptyCopy, emptyCopy, getPrintFormatter, rowComparator, set, set, setPrintFormatter, setPrintFormatter

Methods inherited from class tech.tablesaw.columns.AbstractColumn
asStringColumn, filter, first, indexOf, inRange, last, lastIndexOf, map, max, min, name, parser, sampleN, sampleX, set, set, setName, setParser, sorted, toString, type

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface tech.tablesaw.columns.Column
allMatch, anyMatch, asList, columnWidth, contains, count, count, filter, first, indexOf, inRange, last, lastIndexOf, map, map, mapInto, max, max, min, min, name, noneMatch, parser, print, reduce, reduce, sampleN, sampleX, set, set, set, setMissingTo, setName, setParser, sorted, title, type

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

Methods inherited from interface java.lang.Iterable
forEach, 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

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, log10, log1p, logN, multiply, multiply, multiply, name, neg, normalize, pctChange, power, power, reciprocal, remainder, remainder, round, roundInt, sqrt, square, subtract, subtract, subtract

Methods inherited from interface tech.tablesaw.api.NumericColumn
allMatch, anyMatch, asDoubleArray, asFloatColumn, asStringColumn, autoCorrelation, autoCorrelation, count, count, eval, eval, geometricMean, interpolate, isEmpty, isIn, isMissing, 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, where

- Field Detail
  - data
```
protected final it.unimi.dsi.fastutil.floats.FloatArrayList data
```
- Method Detail
  - getString
```
public String getString(int row)
```
    Returns a string representation of the value at the given row.
    
    Specified by:
    
    getString in interface Column<Float>
    
    Overrides:
    
    getString in class NumberColumn<FloatColumn,Float>
    
    Parameters:
    
    row - The index of the row.
    
    Returns:
    
    value as String
  - valueHash
```
public int valueHash(int rowNumber)
```
    Returns an int suitable as a hash for the value in this column at the given index
  - equals
```
public boolean equals(int rowNumber1,
                      int rowNumber2)
```
    Returns true if the value in this column at rowNumber1 is equal to the value at rowNumber2
  - create
```
public static FloatColumn create(String name)
```
  - create
```
public static FloatColumn create(String name,
                                 float... arr)
```
  - create
```
public static FloatColumn create(String name,
                                 int initialSize)
```
  - create
```
public static FloatColumn create(String name,
                                 Float[] arr)
```
  - create
```
public static FloatColumn create(String name,
                                 Stream<Float> stream)
```
  - createCol
```
public FloatColumn createCol(String name,
                             int initialSize)
```
    Specified by:
    
    createCol in class NumberColumn<FloatColumn,Float>
  - createCol
```
public FloatColumn createCol(String name)
```
    Specified by:
    
    createCol in class NumberColumn<FloatColumn,Float>
  - get
```
public Float get(int index)
```
    Returns the value at the given zero-based index
  - valueIsMissing
```
public static boolean valueIsMissing(float value)
```
  - subset
```
public FloatColumn subset(int[] rows)
```
    Return a column of the same type containing just those elements whose indexes are included in the given array
    
    Specified by:
    
    subset in interface Column<Float>
    
    Overrides:
    
    subset in class AbstractColumn<FloatColumn,Float>
  - isNotIn
```
public Selection isNotIn(float... numbers)
```
  - isIn
```
public Selection isIn(float... numbers)
```
  - size
```
public int size()
```
    Returns the number of elements in this column, including missing values
  - clear
```
public void clear()
```
    Removes all elements TODO: Make this return this column
  - unique
```
public FloatColumn unique()
```
    Returns a column of the same type containing only the unique values
    
    Returns:
    
    a Column
  - top
```
public FloatColumn top(int n)
```
    Returns the largest ("top") n values in the column TODO(lwhite): Consider whether this should exclude missing
    
    Specified by:
    
    top in class NumberColumn<FloatColumn,Float>
    
    Parameters:
    
    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 column
    
    Returns:
    
    A list, possibly empty, of the largest observations
  - bottom
```
public FloatColumn bottom(int n)
```
    Returns the smallest ("bottom") n values in the column TODO(lwhite): Consider whether this should exclude missing
    
    Specified by:
    
    bottom in class NumberColumn<FloatColumn,Float>
    
    Parameters:
    
    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 column
    
    Returns:
    
    A list, possibly empty, of the smallest n observations
  - lag
```
public FloatColumn 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
  - removeMissing
```
public FloatColumn removeMissing()
```
    Returns a copy of this column with the missing values removed
  - append
```
public FloatColumn append(float i)
```
  - append
```
public FloatColumn append(Float val)
```
    Appends value to the bottom of this column and return this column
  - copy
```
public FloatColumn copy()
```
    Returns a deep copy of the receiver
    
    Returns:
    
    a Column
  - iterator
```
public Iterator<Float> iterator()
```
  - asFloatArray
```
public float[] asFloatArray()
```
  - asObjectArray
```
public Float[] asObjectArray()
```
    Returns an array of objects as appropriate for my type of column
  - compare
```
public int compare(Float o1,
                   Float o2)
```
  - set
```
public FloatColumn set(int i,
                       Float val)
```
    Sets the value at index row to the given value and return this column
  - set
```
public FloatColumn set(int i,
                       float val)
```
  - set
```
public Column<Float> set(int row,
                         String stringValue,
                         AbstractColumnParser<?> parser)
```
    Sets the value at row to the parsed value of the given String using the given parser and returns this column
  - append
```
public FloatColumn append(Column<Float> column)
```
    Appends all the values in the argument to the bottom of this column and return this column
  - append
```
public FloatColumn append(Column<Float> column,
                          int row)
```
    Appends the value at the given row in the given column to the bottom of this column and return this column
  - set
```
public FloatColumn set(int row,
                       Column<Float> column,
                       int sourceRow)
```
    Sets the value at row to the value at sourceRow in the given column and return this column
  - asBytes
```
public byte[] asBytes(int rowNumber)
```
    Returns the contents of the cell at rowNumber as a byte[].
    
    Parameters:
    
    rowNumber - index of the row
    
    Returns:
    
    content as byte[]
  - countUnique
```
public int countUnique()
```
    Returns the count of unique values in this column.
    
    Returns:
    
    unique values as int
  - getDouble
```
public double getDouble(int row)
```
    Returns a double representation of the number at index
  - getFloat
```
public float getFloat(int row)
```
    Returns a float representation of the data at the given index. Some precision may be lost, and if the value is to large to be cast to a float, an exception is thrown.
    
    Throws:
    
    ClassCastException - if the value can't be cast to ta float
  - isMissingValue
```
public boolean isMissingValue(float value)
```
  - isMissing
```
public boolean isMissing(int rowNumber)
```
    Returns true if the value at rowNumber is missing
  - setMissing
```
public FloatColumn setMissing(int i)
```
    Sets the value at index i to the missing-value indicator for this column type, and return this column
  - sortAscending
```
public void sortAscending()
```
    Sorts my values in ascending order
  - sortDescending
```
public void sortDescending()
```
    Sorts my values in descending order
  - appendMissing
```
public FloatColumn appendMissing()
```
    Appends a missing value appropriate to the column
  - appendObj
```
public FloatColumn appendObj(Object obj)
```
    Appends the given value to the bottom of this column and return this column
  - appendCell
```
public FloatColumn appendCell(String value)
```
    Add one element to the bottom of this column and set its value to the parsed value of the given String. Parsing is type-specific
  - appendCell
```
public FloatColumn appendCell(String value,
                              AbstractColumnParser<?> parser)
```
    Add one element to the bottom of this column and set its value to the parsed value of the given String, as performed by the given parser
  - getUnformattedString
```
public String getUnformattedString(int row)
```
    Returns a String representation of the value at index r, without any formatting applied
  - asLongColumn
```
public LongColumn asLongColumn()
```
    Returns a new LongColumn containing a value for each value in this column, truncating if necessary
    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
  - asIntColumn
```
public IntColumn asIntColumn()
```
    Returns a new IntColumn containing a value for each value in this column, truncating if necessary.
    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
  - asShortColumn
```
public ShortColumn asShortColumn()
```
    Returns a new IntColumn containing a value for each value in this column, truncating if necessary.
    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
  - asDoubleColumn
```
public DoubleColumn asDoubleColumn()
```
    Returns a new DoubleColumn containing a value for each value in this column.
    No information is lost in converting from the floats to doubles
    A missing value in the receiver is converted to a missing value in the result
  - asSet
```
public Set<Float> asSet()
```
    Returns a Set containing all the unique values in this column

Class FloatColumn

Field Summary

Fields inherited from class tech.tablesaw.api.NumberColumn

Fields inherited from class tech.tablesaw.columns.AbstractColumn

Method Summary

Methods inherited from class tech.tablesaw.api.NumberColumn

Methods inherited from class tech.tablesaw.columns.AbstractColumn

Methods inherited from class java.lang.Object

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

Methods inherited from interface tech.tablesaw.api.NumericColumn

Field Detail

data

Method Detail

getString

valueHash

equals

create

create

create

create

create

createCol

createCol

get

valueIsMissing

subset

isNotIn

isIn

size

clear

unique

top

bottom

lag

removeMissing

append

append

copy

iterator

asFloatArray

asObjectArray

compare

set

set

set

append

append

set

asBytes

countUnique

getDouble

getFloat

isMissingValue

isMissing

setMissing

sortAscending

sortDescending

appendMissing

appendObj

appendCell

appendCell

getUnformattedString

asLongColumn

asIntColumn

asShortColumn

asDoubleColumn

asSet