RegularlySampledQ

RegularlySampledQ[tseries]

gives True if tseries is a regular time series, and False otherwise.

Details

  • A time series is regular if the sampling increment is some constant .
  • The data tseries can be a list of values {x1,x2,…}, a list of time-value pairs {{t1,x1},{t2,x2},…}, or TemporalData.
  • For TemporalData with multiple paths, RegularlySampledQ returns True if all paths in the ensemble are regular.
  • For tseries with date-valued time stamps, RegularlySampledQ returns True if MinimumTimeIncrement returns a date step or list of date steps.

Examples

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Basic Examples  (2)

Check whether a time series is uniformly spaced:

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Check that all time series in a collection are regular:

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Resample the data to make it regular:

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Scope  (5)

Properties & Relations  (3)

Possible Issues  (2)

See Also

MovingMap  TimeSeriesAggregate  TimeSeriesResample  TimeSeriesThread  MinimumTimeIncrement  TimeSeriesShift  TimeSeriesRescale  TimeSeriesMap  TimeSeriesMapThread  TimeSeriesInsert  TimeSeriesModelFit  TimeSeriesWindow  TemporalData  TimeSeries  EventSeries

Introduced in 2014
(10.0)