pandasx / Resampler

Class: Resampler<T>

Defined in: src/resample.ts:35

Type Parameters

Type Parameter	Default type
T extends WindowTarget	WindowTarget

Constructors

Constructor

new Resampler<T>(target, rule, options?): Resampler<T>

Defined in: src/resample.ts:43

Parameters

Parameter	Type
target	T
rule	string | DateOffset
options	ResampleOptions

Returns

Resampler<T>

Methods

[iterator]()

[iterator](): IterableIterator<[Date, WindowTarget]>

Defined in: src/resample.ts:232

Iterates [binLabel, rows].

Returns

IterableIterator<[Date, WindowTarget]>

---

agg()

agg(spec): WindowTarget

Defined in: src/resample.ts:190

One func for every column, a list, or {column: func | func[]}.

Parameters

Parameter	Type
spec	AggFunc | readonly AggFunc[] | Record<string, AggFunc | readonly AggFunc[]>

Returns

WindowTarget

---

aggregate()

aggregate(spec): WindowTarget

Defined in: src/resample.ts:216

Parameters

Parameter	Type
spec	AggFunc | readonly AggFunc[] | Record<string, AggFunc | readonly AggFunc[]>

Returns

WindowTarget

---

apply()

apply(fn): Series

Defined in: src/resample.ts:221

Calls fn(binSeriesOrFrame) per bin.

Parameters

Parameter	Type
fn	(group) => unknown

Returns

Series

---

asfreq()

asfreq(fillValue?): T

Defined in: src/resample.ts:241

Value at each bin label exactly (NA when absent).

Parameters

Parameter	Type	Default value
fillValue	unknown	null

Returns

T

---

bfill()

bfill(limit?): T

Defined in: src/resample.ts:251

Next observation at or after each label.

Parameters

Parameter	Type	Default value
limit	number	Infinity

Returns

T

---

count()

count(): T

Defined in: src/resample.ts:164

Returns

T

---

ffill()

ffill(limit?): T

Defined in: src/resample.ts:246

Last observation at or before each label.

Parameters

Parameter	Type	Default value
limit	number	Infinity

Returns

T

---

first()

first(): T

Defined in: src/resample.ts:162

Returns

T

---

interpolate()

interpolate(method?): T

Defined in: src/resample.ts:265

Upsamples and interpolates numeric columns ('linear' uses time spacing).

Parameters

Parameter	Type	Default value
method	InterpolateMethod	'linear'

Returns

T

---

last()

last(): T

Defined in: src/resample.ts:163

Returns

T

---

max()

max(): T

Defined in: src/resample.ts:161

Returns

T

---

mean()

mean(): T

Defined in: src/resample.ts:155

Returns

T

---

median()

median(): T

Defined in: src/resample.ts:156

Returns

T

---

min()

min(): T

Defined in: src/resample.ts:160

Returns

T

---

nearest()

nearest(): T

Defined in: src/resample.ts:256

Nearest observation.

Returns

T

---

nunique()

nunique(): T

Defined in: src/resample.ts:165

Returns

T

---

ohlc()

ohlc(): DataFrame

Defined in: src/resample.ts:177

open / high / low / close per bin (columns prefixed per input column for frames).

Returns

DataFrame

---

pipe()

pipe<T>(fn): T

Defined in: src/resample.ts:227

Type Parameters

Type Parameter
T

Parameters

Parameter	Type
fn	(r) => T

Returns

T

---

prod()

prod(): T

Defined in: src/resample.ts:154

Returns

T

---

quantile()

quantile(q?): T

Defined in: src/resample.ts:166

Parameters

Parameter	Type	Default value
q	number	0.5

Returns

T

---

sem()

sem(): T

Defined in: src/resample.ts:159

Returns

T

---

size()

size(): Series

Defined in: src/resample.ts:172

Rows per bin.

Returns

Series

---

std()

std(): T

Defined in: src/resample.ts:157

Returns

T

---

sum()

sum(): T

Defined in: src/resample.ts:153

Returns

T

---

var()

var(): T

Defined in: src/resample.ts:158

Returns

T