FloatColumn (tablesaw-core 0.33.2 API)

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

All Implemented Interfaces:

Iterable<Float>, Comparator<Float>, NumericColumn<Float>, Column<Float>, NumberFilters, NumberMapFunctions
```
public class FloatColumn
extends NumberColumn<Float>
```

Field Summary
- Fields inherited from class tech.tablesaw.api.NumberColumn
  comparator, locale, printFormatter
- 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 and Description
`FloatColumn`	`append(Column<Float> column)`
`FloatColumn`	`append(Column<Float> column, int row)`
`FloatColumn`	`append(float i)`
`FloatColumn`	`append(Float val)`
`FloatColumn`	`appendCell(String value)`
`FloatColumn`	`appendCell(String value, AbstractColumnParser<?> parser)`
`FloatColumn`	`appendMissing()` Appends a missing value appropriate to the column
`FloatColumn`	`appendObj(Object obj)`
`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.
`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 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.
`Float[]`	`asObjectArray()`
`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()`
`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)`
`FloatColumn`	`createCol(String name)`
`FloatColumn`	`createCol(String name, int initialSize)`
`FloatColumn`	`emptyCopy()` Returns a copy of the receiver with no data.
`FloatColumn`	`emptyCopy(int rowSize)` Returns an empty copy of the receiver, with its internal storage initialized to the given row size.
`FloatColumn`	`filter(Predicate<? super Float> test)` Returns a new Column of the same type with only those rows satisfying the predicate
`FloatColumn`	`first(int numRows)`
`Float`	`get(int index)`
`double`	`getDouble(int row)`
`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)`
`FloatColumn`	`inRange(int start, int end)` Returns a column containing the rows in this column beginning with start inclusive, and ending with end exclusive
`boolean`	`isMissing(int rowNumber)`
`boolean`	`isMissingValue(float value)`
`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`	`last(int numRows)`
`FloatColumn`	`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.
`FloatColumn`	`map(Function<? super Float,? extends Float> fun)` Maps the function across all rows, appending the results to a new Column of the same type
`FloatColumn`	`max(Column<Float> other)` Returns a column containing the element-wise min between this column and other column TODO(lwhite) Override in column subtypes for better performance
`FloatColumn`	`min(Column<Float> other)` Returns a column containing the element-wise min between this column and other column TODO(lwhite) Override in column subtypes for better performance
`FloatColumn`	`removeMissing()`
`FloatColumn`	`sampleN(int n)` Returns a column containing a random sample of the values in this column
`FloatColumn`	`sampleX(double proportion)` Returns a table consisting of randomly selected values from this column.
`FloatColumn`	`set(int row, Column<Float> column, int sourceRow)`
`FloatColumn`	`set(int i, float val)`
`FloatColumn`	`set(int i, Float val)`
`FloatColumn`	`set(Selection condition, Column<Float> other)` Updates this column where values matching the selection are replaced with the corresponding value from the given column
`FloatColumn`	`set(Selection rowSelection, Float newValue)` Conditionally update this column, replacing current values with newValue for all rows where the current value matches the selection criteria
`Column<Float>`	`setMissing(int i)`
`FloatColumn`	`setName(String name)` Sets the columns name to the given string
`int`	`size()`
`void`	`sortAscending()`
`void`	`sortDescending()`
`FloatColumn`	`sorted(Comparator<? super Float> comp)` Returns a new Column of the same type sorted according to the provided Comparator
`FloatColumn`	`subset(int[] rows)`
`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 as the receiver, containing only the unique values of the receiver.
`FloatColumn`	`where(Selection selection)`

Methods inherited from class tech.tablesaw.api.NumberColumn
allMatch, anyMatch, byteSize, countMissing, noneMatch, rowComparator, setPrintFormatter, setPrintFormatter

Methods inherited from class tech.tablesaw.columns.AbstractColumn
asStringColumn, name, 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.api.NumericColumn
asDoubleArray, asFloatColumn, asStringColumn, count, count, eval, eval, eval, eval, eval, geometricMean, isEmpty, isIn, isIn, isMissing, isNotIn, isNotIn, isNotMissing, kendalls, kurtosis, mapInto, max, max, mean, median, min, min, pearsons, percentile, populationVariance, product, quadraticMean, quartile1, quartile3, range, reduce, reduce, rolling, skewness, spearmans, standardDeviation, stats, sum, summarize, summary, sumOfLogs, sumOfSquares, variance

Methods inherited from interface tech.tablesaw.columns.Column
allMatch, anyMatch, asList, columnWidth, contains, count, count, mapInto, max, min, name, noneMatch, print, reduce, reduce, title, type

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

Methods inherited from interface java.util.Comparator
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, 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

- Method Detail
  - getString
```
public String getString(int row)
```
    Description copied from interface: Column
    
    Returns a string representation of the value at the given row.
    
    Specified by:
    
    getString in interface Column<Float>
    
    Overrides:
    
    getString in class NumberColumn<Float>
    
    Parameters:
    
    row - The index of the row.
    
    Returns:
    
    value as String
  - 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)
```
  - createCol
```
public FloatColumn createCol(String name,
                             int initialSize)
```
    Specified by:
    
    createCol in class NumberColumn<Float>
  - createCol
```
public FloatColumn createCol(String name)
```
    Specified by:
    
    createCol in class NumberColumn<Float>
  - get
```
public Float get(int index)
```
  - subset
```
public FloatColumn subset(int[] rows)
```
  - size
```
public int size()
```
  - clear
```
public void clear()
```
  - unique
```
public FloatColumn unique()
```
    Description copied from interface: Column
    
    Returns a column of the same type as the receiver, containing only the unique values of the receiver.
    
    Returns:
    
    a Column
  - top
```
public FloatColumn top(int n)
```
    Description copied from class: NumberColumn
    
    Returns the largest ("top") n values in the column TODO(lwhite): Consider whether this should exclude missing
    
    Specified by:
    
    top in class NumberColumn<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)
```
    Description copied from class: NumberColumn
    
    Returns the smallest ("bottom") n values in the column TODO(lwhite): Consider whether this should exclude missing
    
    Specified by:
    
    bottom in class NumberColumn<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)
```
    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
  - removeMissing
```
public FloatColumn removeMissing()
```
  - append
```
public FloatColumn append(float i)
```
  - append
```
public FloatColumn append(Float val)
```
  - emptyCopy
```
public FloatColumn emptyCopy()
```
    Description copied from interface: Column
    
    Returns a copy of the receiver with no data. The column name and type are the same.
    
    Specified by:
    
    emptyCopy in interface Column<Float>
    
    Overrides:
    
    emptyCopy in class NumberColumn<Float>
    
    Returns:
    
    a empty copy of Column
  - emptyCopy
```
public FloatColumn emptyCopy(int rowSize)
```
    Description copied from interface: Column
    
    Returns an empty copy of the receiver, with its internal storage initialized to the given row size.
    
    Specified by:
    
    emptyCopy in interface Column<Float>
    
    Overrides:
    
    emptyCopy in class NumberColumn<Float>
    
    Parameters:
    
    rowSize - the initial row size
    
    Returns:
    
    a Column
  - copy
```
public FloatColumn copy()
```
    Description copied from interface: Column
    
    Returns a deep copy of the receiver
    
    Specified by:
    
    copy in interface Column<Float>
    
    Specified by:
    
    copy in class NumberColumn<Float>
    
    Returns:
    
    a Column
  - iterator
```
public Iterator<Float> iterator()
```
  - asObjectArray
```
public Float[] asObjectArray()
```
  - compare
```
public int compare(Float o1,
                   Float o2)
```
  - set
```
public FloatColumn set(int i,
                       Float val)
```
  - set
```
public FloatColumn set(int i,
                       float val)
```
  - append
```
public FloatColumn append(Column<Float> column)
```
  - append
```
public FloatColumn append(Column<Float> column,
                          int row)
```
  - set
```
public FloatColumn set(int row,
                       Column<Float> column,
                       int sourceRow)
```
  - asBytes
```
public byte[] asBytes(int rowNumber)
```
    Description copied from class: NumberColumn
    
    Returns the contents of the cell at rowNumber as a byte[]
    
    Specified by:
    
    asBytes in interface Column<Float>
    
    Specified by:
    
    asBytes in class NumberColumn<Float>
    
    Parameters:
    
    rowNumber - index of the row
    
    Returns:
    
    content as byte[]
  - countUnique
```
public int countUnique()
```
    Description copied from interface: Column
    
    Returns the count of unique values in this column.
    
    Returns:
    
    unique values as int
  - getDouble
```
public double getDouble(int row)
```
  - 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)
```
  - setMissing
```
public Column<Float> setMissing(int i)
```
  - sortAscending
```
public void sortAscending()
```
  - sortDescending
```
public void sortDescending()
```
  - appendMissing
```
public FloatColumn appendMissing()
```
    Description copied from interface: Column
    
    Appends a missing value appropriate to the column
    
    Specified by:
    
    appendMissing in interface Column<Float>
    
    Specified by:
    
    appendMissing in class NumberColumn<Float>
  - appendObj
```
public FloatColumn appendObj(Object obj)
```
  - appendCell
```
public FloatColumn appendCell(String value)
```
  - appendCell
```
public FloatColumn appendCell(String value,
                              AbstractColumnParser<?> parser)
```
  - getUnformattedString
```
public String getUnformattedString(int row)
```
  - inRange
```
public FloatColumn inRange(int start,
                           int end)
```
    Description copied from interface: Column
    
    Returns a column containing the rows in this column beginning with start inclusive, and ending with end exclusive
    
    Specified by:
    
    inRange in interface Column<Float>
    
    Overrides:
    
    inRange in class NumberColumn<Float>
  - where
```
public FloatColumn where(Selection selection)
```
  - lead
```
public FloatColumn 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.
  - setName
```
public FloatColumn setName(String name)
```
    Description copied from interface: Column
    
    Sets the columns name to the given string
    
    Specified by:
    
    setName in interface Column<Float>
    
    Overrides:
    
    setName in class AbstractColumn<Float>
    
    Parameters:
    
    name - The new name MUST be unique for any table containing this column
    
    Returns:
    
    this Column to allow method chaining
  - filter
```
public FloatColumn filter(Predicate<? super Float> test)
```
    Description copied from interface: Column
    
    Returns a new Column of the same type with only those rows satisfying the predicate
    
    Parameters:
    
    test - the predicate
    
    Returns:
    
    a new Column of the same type with only those rows satisfying the predicate
  - sorted
```
public FloatColumn sorted(Comparator<? super Float> comp)
```
    Description copied from interface: Column
    
    Returns a new Column of the same type sorted according to the provided Comparator
    
    Parameters:
    
    comp - the Comparator
    
    Returns:
    
    a sorted Column
  - map
```
public FloatColumn map(Function<? super Float,? extends Float> fun)
```
    Description copied from interface: Column
    
    Maps the function across all rows, appending the results to a new Column of the same type
    
    Parameters:
    
    fun - function to map
    
    Returns:
    
    the Column with the results
  - min
```
public FloatColumn min(Column<Float> other)
```
    Description copied from interface: Column
    
    Returns a column containing the element-wise min between this column and other column TODO(lwhite) Override in column subtypes for better performance
  - max
```
public FloatColumn max(Column<Float> other)
```
    Description copied from interface: Column
    
    Returns a column containing the element-wise min between this column and other column TODO(lwhite) Override in column subtypes for better performance
  - set
```
public FloatColumn set(Selection condition,
                       Column<Float> other)
```
    Description copied from interface: Column
    
    Updates this column where values matching the selection are replaced with the corresponding value from the given column
  - set
```
public FloatColumn set(Selection rowSelection,
                       Float newValue)
```
    Description copied from interface: Column
    
    Conditionally update this column, replacing current values with newValue for all rows where the current value matches the selection criteria
  - first
```
public FloatColumn first(int numRows)
```
  - last
```
public FloatColumn last(int numRows)
```
  - sampleN
```
public FloatColumn sampleN(int n)
```
    Description copied from interface: Column
    
    Returns a column containing a random sample of the values in this column
    
    Parameters:
    
    n - the number of values to select
    
    Returns:
    
    A column of the same type as the receiver
  - sampleX
```
public FloatColumn sampleX(double proportion)
```
    Description copied from interface: Column
    
    Returns a table consisting of randomly selected values from this column. The sample size is based on the given proportion of the total number of cells in this column
    
    Parameters:
    
    proportion - The proportion to go in the sample
  - 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

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.api.NumericColumn

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

getString

create

create

create

createCol

createCol

get

subset

size

clear

unique

top

bottom

lag

removeMissing

append

append

emptyCopy

emptyCopy

copy

iterator

asObjectArray

compare

set

set

append

append

set

asBytes

countUnique

getDouble

getFloat

isMissingValue

isMissing

setMissing

sortAscending

sortDescending

appendMissing

appendObj

appendCell

appendCell

getUnformattedString

inRange

where

lead

setName

filter

sorted

map

min

max

set

set

first

last

sampleN

sampleX

asLongColumn

asIntColumn

asShortColumn

asDoubleColumn