TimeSeriesSummary[tes]
gives content summary information about the time or event series tes.
TimeSeriesSummary[tes,coms]
gives summary information for the value components coms.
TimeSeriesSummary[tes,comsprops]
selects the properties props to report for the components coms.
TimeSeriesSummary[tes,{coms1props1,coms2props2,…}]
selects different sets of properties for different sets of components.
TimeSeriesSummary
TimeSeriesSummary[tes]
gives content summary information about the time or event series tes.
TimeSeriesSummary[tes,coms]
gives summary information for the value components coms.
TimeSeriesSummary[tes,comsprops]
selects the properties props to report for the components coms.
TimeSeriesSummary[tes,{coms1props1,coms2props2,…}]
selects different sets of properties for different sets of components.
Details
- TimeSeriesSummary is typically used to summarize the data for each component of a time or event series.
- TimeSeriesSummary works on TimeSeries and EventSeries.
- TimeSeriesSummary[tes,comsprops] returns a Tabular object in which the properties props are column keys and the values components coms are entries in the key column.
Examples
open all close allBasic Examples (2)
Build a report for a simple TimeSeries:
TimeSeries[{1, 3, 2, 5, 6}, {0}]TimeSeriesSummary[%]Build a report for a TimeSeries with multiple value components:
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[{2025, 9, 1}]}]TimeSeriesSummary[ts]Include only some components and report only about some properties:
TimeSeriesSummary[ts, {"a" -> {"Min", "Max"}, "b" -> "ByteCount"}]Scope (3)
Build a report for a time series of air quality for the year 2023 in Champaign, IL:
ts = TimeSeries[TimeEventSeries`TimestampData[Association["UniformlySpacedQ" -> True, "Count" -> 365,
"Endpoints" -> TabularColumn[Association[
"Data" -> {2, {{NumericArray[{19358, 19722}, "Integer32"], {}, None}}, None},
"ElementType" ... , 0}, "UnsignedInteger8"], {}, None}, "ElementType" ->
TypeSpecifier["Categorical"][TabularColumn[Association["Data" ->
{{0, {0, 5, 10}, "PM2.5Ozone"}, {}, None}, "ElementType" -> "String"]]]]]}}]]]],
Association[]];TimeSeriesSummary[ts]Include all available properties:
TimeSeriesSummary[ts, All -> All]TimeSeriesSummary[ts, All -> "Histogram"]Take time series of stock prices:
data = TimeSeries[«3»];ColumnKeys[data]Create a summary report for statistical properties of the price values:
TimeSeriesSummary[data, Rest[%] -> "statistical"]Build a report for an event series of tide information:
es = EventSeries[«3»];TimeSeriesSummary[es]Find summary information for one component:
TimeSeriesSummary[es, "WaterLevel"]Report only about the value components that have type "String":
TimeSeriesSummary[es, "String"]History
Text
Wolfram Research (2026), TimeSeriesSummary, Wolfram Language function, https://reference.wolfram.com/language/ref/TimeSeriesSummary.html.
CMS
Wolfram Language. 2026. "TimeSeriesSummary." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/TimeSeriesSummary.html.
APA
Wolfram Language. (2026). TimeSeriesSummary. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/TimeSeriesSummary.html
BibTeX
@misc{reference.wolfram_2026_timeseriessummary, author="Wolfram Research", title="{TimeSeriesSummary}", year="2026", howpublished="\url{https://reference.wolfram.com/language/ref/TimeSeriesSummary.html}", note=[Accessed: 12-June-2026]}
BibLaTeX
@online{reference.wolfram_2026_timeseriessummary, organization={Wolfram Research}, title={TimeSeriesSummary}, year={2026}, url={https://reference.wolfram.com/language/ref/TimeSeriesSummary.html}, note=[Accessed: 12-June-2026]}