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ResamplingMethod

is an option for functions such as TimeSeries, TemporalData and MovingMap that specifies how values in between given times should be computed.

Details
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Examples  
Basic Examples  
Scope  
Properties & Relations  
Possible Issues  
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ResamplingMethod

ResamplingMethod

is an option for functions such as TimeSeries, TemporalData and MovingMap that specifies how values in between given times should be computed.

Details

  • ResamplingMethod is typically used to specify how to resample a time series.
  • Typical settings include:
  • Automaticpick the resampling method automatically
    Noneuse Missing[…]
    "LinearInterpolation"use linear (order 1) interpolation
    "PreviousElement"use the previous element
    "NextElement"use the next element
    "NearestElement"use the closest element
    {"Constant",c}use the value c
    {"Interpolation",InterpolationOrderorder}use interpolation with the specified order
  • TimeSeries does not admit None as a ResamplingMethod value.

Examples

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Basic Examples  (3)

By default, values at intermediate times in a TimeSeries are computed using linear interpolation:

Wolfram Language code: ts1 = TimeSeries[{0, 1, 3, 2, 6, 2, 5}]
Wolfram Language code: ts1[1.5]

Use second-order interpolation:

Wolfram Language code: ts2 = TimeSeries[{0, 1, 3, 2, 6, 2, 5}, ResamplingMethod -> {"Interpolation", InterpolationOrder -> 2}]
Wolfram Language code: Plot[{ts1[t], ts2[t]}, {t, 0, 6}]

Treat values in between the given timestamps as Missing objects:

Wolfram Language code: TemporalData[{Subscript[x, 1], Subscript[x, 2], Subscript[x, 3], Subscript[x, 4]}, {{2, 4, 6, 8}}, ResamplingMethod -> None]
Wolfram Language code: %[Range[2, 8]]["Domain"]

Use a constant value c in between the given timestamps:

Wolfram Language code: TimeSeries[{Subscript[x, 1], Subscript[x, 2], Subscript[x, 3], Subscript[x, 4]}, {{2, 4, 6, 8}}, ResamplingMethod -> {"Constant", c}]
Wolfram Language code: %[Range[2, 8]]//Normal

Scope  (1)

ResamplingMethod specifies how to upsample a TimeSeries using TimeSeriesResample:

Wolfram Language code: ts = TimeSeries[{{1, -0.55}, {2, 0.58}, {3, 0.04}, {4, 0.98}, {5, -0.07}, {6, 0.91}, {7, -0.91}, {8, 0.468}, {9, -0.283}, {10, -0.029}}]

Resample with a step of 1/2 with interpolation of order 0:

Wolfram Language code: ts0 = TimeSeriesResample[ts, 1 / 2, ResamplingMethod -> {"Interpolation", InterpolationOrder -> 0}]

Use interpolation of order 2:

Wolfram Language code: ts2 = TimeSeriesResample[ts, 1 / 2, ResamplingMethod -> {"Interpolation", InterpolationOrder -> 2}]

Compare the plots:

Wolfram Language code: Show[ListPlot[ts, PlotStyle -> PointSize[.04]], ListLinePlot[{ts0, ts2}]]

Properties & Relations  (2)

For EventSeries, the default ResamplingMethod is None:

Wolfram Language code: es = EventSeries[TimeEventSeries`TimestampData[Association["UniformlySpacedQ" -> True, "Count" -> 5, "Endpoints" -> TabularColumn[Association["Data" -> {{1, 5}, {}, None}, "ElementType" -> "Integer64"]], "MinimumTimeIncrement" -> 1, "Caller" -> EventSeries]], TabularColumn[Association["Data" -> {{-0.5543962648077652, 0.5825310698198298, 0.043602941865214184, 0.984529483672107, -0.0718708433783739}, {}, None}, "ElementType" -> "Real64"]], Association[]];
Wolfram Language code: TimeSeriesResample[es, 1 / 2]
Wolfram Language code: Normal[%]

For TimeSeries, the default ResamplingMethod is linear interpolation:

Wolfram Language code: ts = TimeSeries[{{1, 10}, {2, 20}, {3, 30}, {4, 40}, {5, 50}}]
Wolfram Language code: TimeSeriesResample[ts, 1 / 2]
Wolfram Language code: Normal[%]

Possible Issues  (2)

If the resampling method specification is invalid, the Automatic value will be used:

Wolfram Language code: TimeSeries[{1, 2, 3}, ResamplingMethod -> foo]
Wolfram Language code: %["ResamplingType"]

For TemporalData:

Wolfram Language code: TemporalData[{1, 2, 3}, ResamplingMethod -> foo]
Wolfram Language code: %["ResamplingType"]

TimeSeries does not allow None as a specification for ResamplingMethod and uses the default method:

Wolfram Language code: ts = TimeSeries[{1, 2, 3}, ResamplingMethod -> None]
Wolfram Language code: ts["ResamplingType"]
Wolfram Language code: ts[.5]

To still have Missing between the timestamps, use it as the constant value specification:

Wolfram Language code: ts1 = TimeSeries[{1, 2, 3}, ResamplingMethod -> {"Constant", Missing[]}];
Wolfram Language code: ts1["ResamplingType"]
Wolfram Language code: ts1[.5]
Wolfram Research (2014), ResamplingMethod, Wolfram Language function, https://reference.wolfram.com/language/ref/ResamplingMethod.html (updated 2026).

Text

Wolfram Research (2014), ResamplingMethod, Wolfram Language function, https://reference.wolfram.com/language/ref/ResamplingMethod.html (updated 2026).

CMS

Wolfram Language. 2014. "ResamplingMethod." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2026. https://reference.wolfram.com/language/ref/ResamplingMethod.html.

APA

Wolfram Language. (2014). ResamplingMethod. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ResamplingMethod.html

BibTeX

@misc{reference.wolfram_2026_resamplingmethod, author="Wolfram Research", title="{ResamplingMethod}", year="2026", howpublished="\url{https://reference.wolfram.com/language/ref/ResamplingMethod.html}", note=[Accessed: 12-June-2026]}

BibLaTeX

@online{reference.wolfram_2026_resamplingmethod, organization={Wolfram Research}, title={ResamplingMethod}, year={2026}, url={https://reference.wolfram.com/language/ref/ResamplingMethod.html}, note=[Accessed: 12-June-2026]}