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ValueDimensions

is an option to TemporalData, TimeSeries, and EventSeries that specifies the dimension of the value space.

Details
Details and Options Details and Options
Examples  
Basic Examples  
Possible Issues  
See Also
History
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ValueDimensions

ValueDimensions

is an option to TemporalData, TimeSeries, and EventSeries that specifies the dimension of the value space.

Details

  • Possible settings include:
  • Automaticautomatically find dimensions
    1scalar values
    nvector values of length n
    {n1,n2,…}array values of dimension {n1,n2,…}
  • The ni must be positive integers.

Examples

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Basic Examples  (1)

Create a collection of four scalar-valued paths:

Interpret the same data as a single path of dimension 3:

Possible Issues  (1)

Multidimensional data may be confused with time-value pairs:

Specify ValueDimensions to treat the data as vector valued:

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

Text

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

CMS

Wolfram Language. 2014. "ValueDimensions." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ValueDimensions.html.

APA

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

BibTeX

@misc{reference.wolfram_2025_valuedimensions, author="Wolfram Research", title="{ValueDimensions}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/ValueDimensions.html}", note=[Accessed: 27-August-2025]}

BibLaTeX

@online{reference.wolfram_2025_valuedimensions, organization={Wolfram Research}, title={ValueDimensions}, year={2014}, url={https://reference.wolfram.com/language/ref/ValueDimensions.html}, note=[Accessed: 27-August-2025]}