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TimeSeriesStructure[tes]

gives structural information about the timestamps and each value component for the time or event series tes.

TimeSeriesStructure[tes,comps]

gives structural information for the components comps.

TimeSeriesStructure[tes,comps,props]

selects the properties props to report.

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Basic Examples  
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TimeSeriesStructure

TimeSeriesStructure[tes]

gives structural information about the timestamps and each value component for the time or event series tes.

TimeSeriesStructure[tes,comps]

gives structural information for the components comps.

TimeSeriesStructure[tes,comps,props]

selects the properties props to report.

Details

  • TimeSeriesStructure is typically used to get structural information for each value component.
  • TimeSeriesStructure works on TimeSeries and EventSeries.
  • TimeSeriesStructure[tes,comps,props] returns a Tabular object in which the properties props are column keys and the values components comps are entries in the key column.
  • Possible forms cols of column specification include:
  • Allall components of the input data
    {comp1,comp2,…}list of components of the input data
    spattstring pattern for the component keys of the data
    critcriterion function to select component keys
  • Possible properties props include:
  • "Type"type of the component
    "MissingCount"number of missing elements in the component
    "NonMissingCount"number of non-missing elements in the component
    "ByteCount"byte count of the component
    "DuplicateFreeQ"whether the component has unique entries
    "CountDistinct"number of unique entries
    {prop1,prop2,…}list of properties propi above
    Alllist of all the properties above
    Automaticautomatic choice of some of the properties above

Examples

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Basic Examples  (2)

Build a report for a simple TimeSeries:

Wolfram Language code: TimeSeries[{1, 3, 2, 5, 6}, {0}]
Wolfram Language code: TimeSeriesStructure[%]

Build a report for a TimeSeries with multiple value components:

Wolfram Language code: ts = TimeSeries[ToTabular[<|"a" -> RandomReal[1, 10], "b" -> RandomChoice[{"one", "two", "three"}, 10], "c" -> Array[Subscript[x, #]&, 10], "d" -> Array[x, {10, 2}]|>, "Columns"], {DateObject[{2023, 9, 1}]}]
Wolfram Language code: TimeSeriesStructure[ts]

Include only some components and report only about some properties:

Wolfram Language code: TimeSeriesStructure[ts, {"a", "b"}, {"MissingCount", "ByteCount"}]

Scope  (2)

Take time series of air quality for the year 2023 in Champaign, IL:

Wolfram Language code: ts = TimeSeries[TimeEventSeries`TimestampData[Association["UniformlySpacedQ" -> True, "Count" -> 365, "Endpoints" -> TabularColumn[Association[ "Data" -> {2, {{NumericArray[{19358, 19722}, "Integer32"], {}, None}}, None}, "ElementType" ... , InterpolationOrder -> 1}, "Category" -> "PreviousElement", "Defining Parameter" -> "PreviousElement"], "TimeWindow" -> DateInterval[{DateObject[{2023, 1, 1}, "Day"], DateObject[{2023, 12, 31}, "Day"]}], "MetaInformation" -> None]];
Wolfram Language code: TimeSeriesStructure[ts]

Include all available properties:

Wolfram Language code: TimeSeriesStructure[ts, All, All]

Select only one property:

Wolfram Language code: TimeSeriesStructure[ts, All, "ResamplingMethod"]

Take an event series of UK recessions:

Wolfram Language code: es = EventSeries[TimeEventSeries`TimestampData[Association["UniformlySpacedQ" -> False, "Timestamps" -> TabularColumn[Association[ "Data" -> {19, {{{-17040758400000, -8331033600000, -8236339200000, -6248275200000, -4986057600000, - ... -> ByteArray["4P//"], "Capacity" -> 19, "BitCount" -> 14}]}, "ElementType" -> "String"]]}}]]]], Association["TimeWindow" -> DateInterval[{DateObject[{1430}, "Year"], DateObject[{2023}, "Year"]}], "MetaInformation" -> None]];
Wolfram Language code: TimeSeriesStructure[es]

Find structural information for some of the components:

Wolfram Language code: TimeSeriesStructure[es, {"Causes", "Name"}]

Report only about the value components that contain "u" in their name:

Wolfram Language code: TimeSeriesStructure[es, "*u*"]
Wolfram Research (2026), TimeSeriesStructure, Wolfram Language function, https://reference.wolfram.com/language/ref/TimeSeriesStructure.html.

Text

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

CMS

Wolfram Language. 2026. "TimeSeriesStructure." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/TimeSeriesStructure.html.

APA

Wolfram Language. (2026). TimeSeriesStructure. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/TimeSeriesStructure.html

BibTeX

@misc{reference.wolfram_2026_timeseriesstructure, author="Wolfram Research", title="{TimeSeriesStructure}", year="2026", howpublished="\url{https://reference.wolfram.com/language/ref/TimeSeriesStructure.html}", note=[Accessed: 12-June-2026]}

BibLaTeX

@online{reference.wolfram_2026_timeseriesstructure, organization={Wolfram Research}, title={TimeSeriesStructure}, year={2026}, url={https://reference.wolfram.com/language/ref/TimeSeriesStructure.html}, note=[Accessed: 12-June-2026]}