Create an event series from time-value pairs:

Create an event series from values and times:

Specify keys for the value components:

Specify value keys with an option:

Use iterator to specify timestamps:

With multivariate values:

Create an event series given a starting time:

Create an event series given starting and ending times:

Give a range of dates to use:

Extract values from an event series:

Select single value component:

Single value component tabular:

Select multiple value components:

Create an event series with values given as a Tabular object:

Extract timestamps:

Get the type information for the timestamps:

Extract a subevent series for a given temporal window:

Use TimeSeriesInsert to insert a missing value:

Use TimeSeriesRescale to rescale an event series to run from 0 to 20:

Use TimeSeriesShift to shift the series ahead by 2:

Compute the differences between two event series:

Use TimeSeriesThread to compute maximum event series:

Visualize an event series with values:

Provide values as a Tabular object:

Create an event series:

Extract values:

Numerical, listable functions automatically thread over values of event series:

Square the values of an event series:

Combining several event series with identical time stamps threads over values:

Use TimeSeriesThread to compute maximum values between two event series:

Aggregate events in time windows:

Give explicit component keys:

Show the data using conversion to Tabular:

Component keys are added automatically when the given list is incomplete:

Generate all component keys by giving {}:

The Automatic value of component keys argument preserves the input keys:

When component keys are given, they override the input keys:

With component keys value None, the output event series is simple, without explicit components:

When there are no input keys, the Automatic value will preserve the simple component input:

Specify time stamps as dates in a specific calendar using CalendarType:

By default, the "Gregorian" calendar is being used:

By default, data without explicit components results in a simple event series:

Show the data using conversion to Tabular:

Construct an event series with component keys "a" and "b":

By default, the date granularity is inferred from the input timestamps:

Use DateFunction to convert the granularity of the input timestamps:

Use DateList to define functions for interpreting ambiguous date strings:

Compute an event series of eclipse types for five random dates in the last 100 years:

The timestamps were stored with "Instant" granularity:

Change the timestamps to have "Day" granularity:

Use HolidayCalendar to visualize business days in a given country:

By default, the duplicate timestamps are not merged during creation of an EventSeries:

Specify how to combine values from the duplicate timestamps:

Include additional metadata as a list of rules:

Metainformation now includes "Stock":

Take an event series with missing values:

Use MissingDataMethod to replace missing values with a constant:

Replace the missing values with a mean of non-missing values:

Explicitly assume that data is regularly spaced:

By default, the time observation window is inferred from the range of the timestamps:

Specify a different time observation window:

Specify the time zone of EventSeries:

The event series of birthdays of American presidents (as of 2025):

Plot the dates:

Use AssociationThread to plot dates with names:

Birthday distribution within a year:

Find shared birthdays:

Event series of earthquake magnitudes with magnitude at least 6:

Show the distributions of the magnitudes:

Find the conditional probability of a magnitude 7 or greater earthquake in the given time interval:

Compare cumulative totals of the daily number of steps with geographical reference points from Champaign, IL:

Accumulate the event series and convert to distance units:

Maximum distance:

Calculate distances to a few cities within the maximum distance:

The quantity values of the event series are given as a QuantityArray and need Normal:

Plot the cumulative number of steps with the distance marked by the cities:

The number of patients arriving at an emergency room has been recorded for each hour from 1am to midnight:

Illustrate the 24-hour cycle to observe that fewer patients arrive late at night and in the early morning:

Compute the instants of March equinox for 800 consecutive years:

Find their days in March as reals with fractional day decimal parts:

March equinoxes happen on days 19, 20 or 21:

The fractional part represents time of the day:

Show how they drift year to year and how leap days must be handled differently in cycles of 400 years: