FloatColumn

Defined in: src/dataframe/column.ts:484

Strongly-typed column. Use get and set to access elements by index.

Extends

• Column<number>

Constructors

Constructor

new FloatColumn(dart): FloatColumn

Defined in: src/dataframe/column.ts:30

Parameters

Parameter	Type
dart	any

Returns

FloatColumn

Inherited from

Column.constructor

Properties

Property	Modifier	Type	Inherited from	Defined in
dart	public	any	Column.dart	src/dataframe/column.ts:25
tags	public	any	Column.tags	src/dataframe/column.ts:27
temp	public	any	Column.temp	src/dataframe/column.ts:26

Accessors

categories

Get Signature

get categories(): string[]

Defined in: src/dataframe/column.ts:395

Returns all unique strings in a sorted order. Applicable to string column only.

Returns

string[]

Inherited from

Column.categories

---

colors

Get Signature

get colors(): any

Defined in: src/dataframe/column.ts:251

Returns

any

Inherited from

Column.colors

---

dataFrame

Get Signature

get dataFrame(): DataFrame

Defined in: src/dataframe/column.ts:206

Parent table

Returns

DataFrame

Inherited from

Column.dataFrame

---

dialogs

Get Signature

get dialogs(): any

Defined in: src/dataframe/column.ts:246

Returns

any

Inherited from

Column.dialogs

---

doublePrecision

Get Signature

get doublePrecision(): boolean

Defined in: src/dataframe/column.ts:485

Returns

boolean

Set Signature

set doublePrecision(enableDoublePrecision): void

Defined in: src/dataframe/column.ts:488

Parameters

Parameter	Type
enableDoublePrecision	boolean

Returns

void

---

isCategorical

Get Signature

get isCategorical(): boolean

Defined in: src/dataframe/column.ts:182

Is the column categorical (string, boolean)

Returns

boolean

Inherited from

Column.isCategorical

---

isEmpty

Get Signature

get isEmpty(): boolean

Defined in: src/dataframe/column.ts:359

Returns whether all values in the columns are empty.

Returns

boolean

Inherited from

Column.isEmpty

---

isNumerical

Get Signature

get isNumerical(): boolean

Defined in: src/dataframe/column.ts:176

Is the column numerical (float, int, bigint, qnum)

Returns

boolean

Inherited from

Column.isNumerical

---

isVirtual

Get Signature

get isVirtual(): boolean

Defined in: src/dataframe/column.ts:194

Is this column virtual

Returns

boolean

Inherited from

Column.isVirtual

---

layoutColumnId

Get Signature

get layoutColumnId(): string

Defined in: src/dataframe/column.ts:222

Layout column ID

Returns

string

Set Signature

set layoutColumnId(s): void

Defined in: src/dataframe/column.ts:226

Parameters

Parameter	Type
s	string

Returns

void

Inherited from

Column.layoutColumnId

---

length

Get Signature

get length(): number

Defined in: src/dataframe/column.ts:200

Number of elements

Returns

number

Inherited from

Column.length

---

markers

Get Signature

get markers(): any

Defined in: src/dataframe/column.ts:256

Returns

any

Inherited from

Column.markers

---

max

Get Signature

get max(): number

Defined in: src/dataframe/column.ts:424

Column's maximum value. The result is cached.

Returns

number

Inherited from

Column.max

---

meta

Get Signature

get meta(): ColumnMetaHelper

Defined in: src/dataframe/column.ts:36

Returns

ColumnMetaHelper

Inherited from

Column.meta

---

min

Get Signature

get min(): number

Defined in: src/dataframe/column.ts:421

Column's minimum value. The result is cached.

Returns

number

Inherited from

Column.min

---

name

Get Signature

get name(): string

Defined in: src/dataframe/column.ts:231

Returns

string

Set Signature

set name(s): void

Defined in: src/dataframe/column.ts:235

Parameters

Parameter	Type
s	string

Returns

void

Inherited from

Column.name

---

semType

Get Signature

get semType(): string

Defined in: src/dataframe/column.ts:212

Semantic type

Returns

string

Set Signature

set semType(s): void

Defined in: src/dataframe/column.ts:216

Parameters

Parameter	Type
s	string

Returns

void

Inherited from

Column.semType

---

stats

Get Signature

get stats(): Stats

Defined in: src/dataframe/column.ts:434

Basic descriptive statistics. The result is cached.

Returns

Stats

Inherited from

Column.stats

---

type

Get Signature

get type(): "string" | "bigint" | "object" | "int" | "double" | "bool" | "byte_array" | "datetime" | "qnum" | "dataframe"

Defined in: src/dataframe/column.ts:188

Column data type.

Returns

"string" | "bigint" | "object" | "int" | "double" | "bool" | "byte_array" | "datetime" | "qnum" | "dataframe"

Inherited from

Column.type

---

valueComparer

Get Signature

get valueComparer(): Comparer | null

Defined in: src/dataframe/column.ts:417

Value comparison function to be used for sorting. Null means default sorting. Sample: https://public.datagrok.ai/js/samples/data-frame/sorting/custom-comparer

Returns

Comparer | null

Set Signature

set valueComparer(cmp): void

Defined in: src/dataframe/column.ts:418

Parameters

Parameter	Type
cmp	Comparer | null

Returns

void

Inherited from

Column.valueComparer

---

version

Get Signature

get version(): number

Defined in: src/dataframe/column.ts:241

Version of the column. Increases each time the column was changed

Returns

number

Inherited from

Column.version

Methods

aggregate()

aggregate(type): any

Defined in: src/dataframe/column.ts:472

Aggregates a column using the [type] function, which corresponds to

• [DG.AGG] for int, bigint, float, qnum columns,
• [DG.STR_AGG] and [DG.STAT_COUNTS] for string columns,
• [DG.STAT_COUNTS], [DG.AGG.MIN], [DG.AGG.MAX], [DG.AGG.AVG] for datetime columns,
• [DG.AGG.TOTAL_COUNT] and [DG.AGG.MISSING_VALUE_COUNT] for virtual columns.

Parameters

Parameter	Type
type	string

Returns

any

Inherited from

Column.aggregate

---

applyFormula()

applyFormula(formula, type?, treatAsString?): Promise<Column<any, any> | null>

Defined in: src/dataframe/column.ts:448

Applies the specified formula to a calculated column. Returns a new column object, if applied successfully, and null otherwise.

Parameters

Parameter	Type	Default value
formula	string	undefined
type	"string" | "bigint" | "object" | "int" | "double" | "bool" | "byte_array" | "datetime" | "qnum" | "dataframe" | null	null
treatAsString	boolean	false

Returns

Promise<Column<any, any> | null>

Inherited from

Column.applyFormula

---

asDoubleList()

asDoubleList(): Float32Array

Defined in: src/dataframe/column.ts:478

Returns

Float32Array

• typed array of float values representing the column. Does not guarantee to perform a copy of the underlying data.

Inherited from

Column.asDoubleList

---

clone()

clone(mask?): Column<number>

Defined in: src/dataframe/column.ts:280

Performs deep cloning, optionally taking mask of the rows to be included. Note that the cloned colum is not added to this column's dataframe.

Parameters

Parameter	Type
mask?	BitSet

Returns

Column<number>

Inherited from

Column.clone

---

compact()

compact(): any

Defined in: src/dataframe/column.ts:384

Compacts the internal column representation. Currently, it only affects string columns where values were modified.

Returns

any

Inherited from

Column.compact

---

convertTo()

convertTo(newType, format?): Column

Defined in: src/dataframe/column.ts:457

Creates and returns a new column by converting [column] to the specified [newType].

Parameters

Parameter	Type	Default value
newType	string	undefined
format	string | null	null

Returns

Column

Inherited from

Column.convertTo

---

fireValuesChanged()

fireValuesChanged(): void

Defined in: src/dataframe/column.ts:343

Call this method after setting elements without notifications via set

Returns

void

Inherited from

Column.fireValuesChanged

---

get()

get(row): number | null

Defined in: src/dataframe/column.ts:318

Gets i-th value

Parameters

Parameter	Type	Description
row	number	row index

Returns

number | null

• or null if isNone(i)

Inherited from

Column.get

---

getCategory()

getCategory(categoryIndex): string

Defined in: src/dataframe/column.ts:400

Returns i-th category. Applicable to string column only.

Parameters

Parameter	Type
categoryIndex	number

Returns

string

Inherited from

Column.getCategory

---

getCategoryOrder()

getCategoryOrder(): string[]

Defined in: src/dataframe/column.ts:410

Gets order of categories

Returns

string[]

Inherited from

Column.getCategoryOrder

---

getNumber()

getNumber(i): number

Defined in: src/dataframe/column.ts:329

Returns i-th value as number. None if isNone(i)

Parameters

Parameter	Type
i	number

Returns

number

Inherited from

Column.getNumber

---

getRawData()

getRawData(): Int32Array<ArrayBufferLike> | Uint32Array<ArrayBufferLike> | Float32Array<ArrayBufferLike> | Float64Array<ArrayBufferLike>

Defined in: src/dataframe/column.ts:294

FOR EXPERT USE ONLY!

Returns the raw buffer containing data. Sample: https://public.datagrok.ai/js/samples/data-frame/performance/access Return type depends on the column type: {Int32Array} for ints, INT_NULL represents null. {Float32Array} or {Float64Array} for floats depending on doublePrecision parameter, FLOAT_NULL represents null. {Float64Array} for qnums, FLOAT_NULL represents null. {Float64Array} for datetime, in microseconds since epoch, FLOAT_NULL represents null. {Int32Array} for strings indexes of categories. {Uint32Array} bit array.

Returns

Int32Array<ArrayBufferLike> | Uint32Array<ArrayBufferLike> | Float32Array<ArrayBufferLike> | Float64Array<ArrayBufferLike>

Inherited from

Column.getRawData

---

getSortedOrder()

getSortedOrder(): Int32Array

Defined in: src/dataframe/column.ts:413

Returns an array of indexes sorted using [valueComparer].

Returns

Int32Array

Inherited from

Column.getSortedOrder

---

getString()

getString(i): string

Defined in: src/dataframe/column.ts:324

Returns i-th value as string, taking into account value format defined for the column. An empty string is returned if there is no value.

Parameters

Parameter	Type
i	number

Returns

string

Inherited from

Column.getString

---

getTag()

getTag(tag): string

Defined in: src/dataframe/column.ts:369

Returns the value of the specified tag, or null if the tag is not present.

Parameters

Parameter	Type
tag	string

Returns

string

Inherited from

Column.getTag

---

init()

init(valueInitializer): Column

Defined in: src/dataframe/column.ts:264

Initializes all values in the column to [columnInitializer].

Parameters

Parameter	Type	Description
valueInitializer	string | number | boolean | Date | Dayjs | ((ind) => any) | null	value, or a function that returns value by index

Returns

Column

Inherited from

Column.init

---

isNone()

isNone(i): boolean

Defined in: src/dataframe/column.ts:364

Returns whether i-th value is missing.

Parameters

Parameter	Type
i	number

Returns

boolean

Inherited from

Column.isNone

---

matches()

matches(filter): boolean

Defined in: src/dataframe/column.ts:429

Checks whether the column passes the specified [filter]. [filter] can be either specific data [type] such as 'int' or 'string', more broadly - 'numerical', or 'categorical', or null for any columns.

Parameters

Parameter	Type
filter	"string" | "bigint" | "object" | "int" | "double" | "bool" | "byte_array" | "datetime" | "qnum" | "dataframe" | "categorical" | "numerical" | null

Returns

boolean

Inherited from

Column.matches

---

scale()

scale(idx): number

Defined in: src/dataframe/column.ts:307

Linearly maps idx-th value to the [0,1] interval, where 0 represents column minimum, and 1 represents maximum.

Parameters

Parameter	Type
idx	number

Returns

number

Inherited from

Column.scale

---

set()

set(i, value, notify?): void

Defined in: src/dataframe/column.ts:354

Sets [i]-th value to [x], and optionally notifies the dataframe about this change.

Parameters

Parameter	Type	Default value	Description
i	number	undefined	Row index.
value	number | null	undefined	Value to set.
notify	boolean	true	whether DataFrame's changed event should be fired. Call fireValuesChanged after you are done modifying the column.

Returns

void

Inherited from

Column.set

---

setCategoryOrder()

setCategoryOrder(order): void

Defined in: src/dataframe/column.ts:405

Sets order of categories

Parameters

Parameter	Type
order	string[]

Returns

void

Inherited from

Column.setCategoryOrder

---

setRawData()

setRawData(rawData, notify?): void

Defined in: src/dataframe/column.ts:311

Parameters

Parameter	Type	Default value
rawData	Int32Array<ArrayBufferLike> | Uint32Array<ArrayBufferLike> | Float32Array<ArrayBufferLike> | Float64Array<ArrayBufferLike>	undefined
notify	boolean	true

Returns

void

Inherited from

Column.setRawData

---

setString()

setString(i, str, notify?): boolean

Defined in: src/dataframe/column.ts:338

Attempts to set i-th value by converting a provided string to the corresponding strongly-typed value. Returns true if text was successfully parsed and set, otherwise false. Examples: dateColumn.setString('April 1, 2020'); intColumn.setString('42');

Parameters

Parameter	Type	Default value	Description
i	number	undefined	-
str	string	undefined	-
notify	boolean	true	whether DataFrame's changed event should be fired

Returns

boolean

Inherited from

Column.setString

---

setTag()

setTag(tag, value): Column

Defined in: src/dataframe/column.ts:377

Sets a tag to the specified value.

Parameters

Parameter	Type	Description
tag	string	Key.
value	string	Value.

Returns

Column

. *

Inherited from

Column.setTag

---

toList()

toList(): any[]

Defined in: src/dataframe/column.ts:390

Copies column values to an array. Avoid using this method for performance-critical routines; consider using getRawData

Returns

any[]

Inherited from

Column.toList

---

toString()

toString(): string

Defined in: src/dataframe/column.ts:462

Returns

string

• string representation of this column

Inherited from

Column.toString

---

values()

values(): Generator<number | null, void, unknown>

Defined in: src/dataframe/column.ts:440

An iterator over all values in this column.

Returns

Generator<number | null, void, unknown>

Inherited from

Column.values

---

bool()

static bool(name, length?): Column<boolean>

Defined in: src/dataframe/column.ts:138

Creates a boolean column with the specified name and length.

Parameters

Parameter	Type	Default value
name	string	undefined
length	number	0

Returns

Column<boolean>

Inherited from

Column.bool

---

dataFrame()

static dataFrame(name, length?): Column<DataFrame>

Defined in: src/dataframe/column.ts:148

Creates a column containing dataframes with the specified name and length.

Parameters

Parameter	Type	Default value
name	string	undefined
length	number	0

Returns

Column<DataFrame>

Inherited from

Column.dataFrame

---

dateTime()

static dateTime(name, length?): Column

Defined in: src/dataframe/column.ts:143

Creates a datetime column with the specified name and length.

Parameters

Parameter	Type	Default value
name	string	undefined
length	number	0

Returns

Column

Inherited from

Column.dateTime

---

float()

static float(name, length?): Column<number>

Defined in: src/dataframe/column.ts:128

Creates a floating point column with the specified name and length.

Parameters

Parameter	Type	Default value
name	string	undefined
length	number	0

Returns

Column<number>

Inherited from

Column.float

---

fromBigInt64Array()

static fromBigInt64Array(name, array): Column<any, any>

Defined in: src/dataframe/column.ts:87

Creates BigIntColumn from BigInt64Array / BigUint64Array

Parameters

Parameter	Type
name	string
array	BigInt64Array<ArrayBufferLike> | BigUint64Array<ArrayBufferLike>

Returns

Column<any, any>

Inherited from

Column.fromBigInt64Array

---

fromBitSet()

static fromBitSet(name, bitset): Column<boolean>

Defined in: src/dataframe/column.ts:118

Creates a Column from the bitset.

Parameters

Parameter	Type	Description
name	string	column name
bitset	BitSet	bitset. The resulting boolean column will be of length bitset.length

Returns

Column<boolean>

Inherited from

Column.fromBitSet

---

fromFloat32Array()

static fromFloat32Array(name, array, length?): Column<number>

Defined in: src/dataframe/column.ts:77

[array] will be not be copied and will be used as column's storage

Parameters

Parameter	Type	Default value
name	string	undefined
array	Float32Array	undefined
length	number | null	null

Returns

Column<number>

Inherited from

Column.fromFloat32Array

---

fromFloat64Array()

static fromFloat64Array(name, array, length?): Column<number>

Defined in: src/dataframe/column.ts:82

[array] will be not be copied and will be used as column's storage

Parameters

Parameter	Type	Default value
name	string	undefined
array	Float64Array	undefined
length	number | null	null

Returns

Column<number>

Inherited from

Column.fromFloat64Array

---

fromIndexes()

static fromIndexes(name, categories, indexes): Column

Defined in: src/dataframe/column.ts:110

Crates a Column of string type from categories and indexes

Parameters

Parameter	Type	Description
name	string	-
categories	string[]	-
indexes	Int32Array	-

Returns

Column

Inherited from

Column.fromIndexes

---

fromInt32Array()

static fromInt32Array(name, array, length?): Column<number>

Defined in: src/dataframe/column.ts:72

[array] will be not be copied and will be used as column's storage

Parameters

Parameter	Type	Default value
name	string	undefined
array	Int32Array	undefined
length	number | null	null

Returns

Column<number>

Inherited from

Column.fromInt32Array

---

fromList()

static fromList(type, name, list): Column

Defined in: src/dataframe/column.ts:98

Creates a Column from the list of values.

Parameters

Parameter	Type	Description
type	"string" | "bigint" | "object" | "int" | "double" | "bool" | "byte_array" | "datetime" | "qnum" | "dataframe"	-
name	string	column name
list	any[]	list of values

Returns

Column

See

COLUMN_TYPE

Inherited from

Column.fromList

---

fromStrings()

static fromStrings(name, list): Column

Defined in: src/dataframe/column.ts:54

Creates a Column from the list of string values Please note that method performs type promotion if all listed values are numeric

Parameters

Parameter	Type	Description
name	string	Column name
list	string[]	List of column values https://dev.datagrok.ai/script/samples/javascript/data-frame/construction/create-from-columns https://dev.datagrok.ai/script/samples/javascript/data-frame/construction/create-from-arrays

Returns

Column

Inherited from

Column.fromStrings

---

fromType()

static fromType(type, name?, length?): Column

Defined in: src/dataframe/column.ts:67

Creates a Column with explicitly specified type

Parameters

Parameter	Type	Default value	Description
type	"string" | "bigint" | "object" | "int" | "double" | "bool" | "byte_array" | "datetime" | "qnum" | "dataframe"	undefined	column type code COLUMN_TYPE
name?	string | null	undefined	Column name
length?	number	0	Column length (should match row count of the data frame ) DataFrame.create

Returns

Column

See

COLUMN_TYPE

Inherited from

Column.fromType

---

int()

static int(name, length?): Column<number>

Defined in: src/dataframe/column.ts:123

Creates an integer column with the specified name and length.

Parameters

Parameter	Type	Default value
name	string	undefined
length	number	0

Returns

Column<number>

Inherited from

Column.int

---

qnum()

static qnum(name, length?, values?, exact?): Column<number>

Defined in: src/dataframe/column.ts:161

Creates a qualified number column with the specified name and length. Initialized values with [values], if it is specified; strips out the qualifier part if [exact] is true.

Parameters

Parameter	Type	Default value	Description
name	string	undefined	-
length	number	0	-
values	number[]	[]	-
exact	boolean	true	if true, strips out qualifier from [values].

Returns

Column<number>

Inherited from

Column.qnum

---

string()

static string(name, length?): Column<string>

Defined in: src/dataframe/column.ts:133

Creates a string column with the specified name and length.

Parameters

Parameter	Type	Default value
name	string	undefined
length	number	0

Returns

Column<string>

Inherited from

Column.string