extractevents

Extract event table from subset of timetable data

Since R2023a

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Syntax

ET = extractevents(TT,rows)
ET = extractevents(TT,labels)
ET = extractevents(___,Name=Value)
[ET,TT2] = extractevents(___)

Description

The extractevents function extracts data from a timetable to create an event table. An event table is a timetable of events. For more information on event tables, see eventtable.

When you attach an event table to a timetable, it enables you to find and label rows in the timetable that occur during events. To attach an event table to a timetable, assign it to the Events property of the timetable.

Timetable with attached event table

ET = extractevents(TT,rows) creates an event table using row times from the specified rows of the input timetable. The output event table has event times but no variables.

example

ET = extractevents(TT,labels) creates an event table using the row times from the input timetable and attaches event labels in labels. The labels input argument must be a categorical vector. The number of elements in labels must be the same as the number of rows of the input timetable. The category names in labels become event labels in a variable of the output event table.

If any row of labels has a missing value, then the corresponding row time of TT is not included in the output event table. In a categorical array, missing values are elements that belong to an undefined category. You can use missing values in labels to exclude rows of the input timetable from the output event table.

ET = extractevents(___,Name=Value) specifies event labels, event lengths, event end times, or data variables using one or more name-value arguments in addition to the input arguments in previous syntaxes.

Event lengths and event end times are mutually exclusive. You can specify event lengths or event end times, but not both.

example

[ET,TT2] = extractevents(___) also returns a modified copy of the input timetable. The output timetable does not include input timetable variables that you specify as the variables containing event labels, event lengths, event end times, or event data, unless you also specify the PreserveEventVariables name-value argument as true.

example

Examples

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Open Live Script

Import a timetable from a file. Then extract an event table using row times from the timetable rows that you specify. You can also specify additional information such as event labels.

To import a timetable from a comma-separated values (CSV) file, use the readtimetable function. The first column that has dates or times is the source of the row times of the timetable.

TT = readtimetable("outages.csv",TextType="string")
TT=1468×5 timetable
       OutageTime         Region        Loss     Customers     RestorationTime           Cause      
    ________________    ___________    ______    __________    ________________    _________________

    2002-02-01 12:18    "SouthWest"    458.98    1.8202e+06    2002-02-07 16:50    "winter storm"   
    2003-01-23 00:49    "SouthEast"    530.14    2.1204e+05                 NaT    "winter storm"   
    2003-02-07 21:15    "SouthEast"     289.4    1.4294e+05    2003-02-17 08:14    "winter storm"   
    2004-04-06 05:44    "West"         434.81    3.4037e+05    2004-04-06 06:10    "equipment fault"
    2002-03-16 06:18    "MidWest"      186.44    2.1275e+05    2002-03-18 23:23    "severe storm"   
    2003-06-18 02:49    "West"              0             0    2003-06-18 10:54    "attack"         
    2004-06-20 14:39    "West"         231.29           NaN    2004-06-20 19:16    "equipment fault"
    2002-06-06 19:28    "West"         311.86           NaN    2002-06-07 00:51    "equipment fault"
    2003-07-16 16:23    "NorthEast"    239.93         49434    2003-07-17 01:12    "fire"           
    2004-09-27 11:09    "MidWest"      286.72         66104    2004-09-27 16:37    "equipment fault"
    2004-09-05 17:48    "SouthEast"    73.387         36073    2004-09-05 20:46    "equipment fault"
    2004-05-21 21:45    "West"         159.99           NaN    2004-05-22 04:23    "equipment fault"
    2002-09-01 18:22    "SouthEast"    95.917         36759    2002-09-01 19:12    "severe storm"   
    2003-09-27 07:32    "SouthEast"       NaN    3.5517e+05    2003-10-04 07:02    "severe storm"   
    2003-11-12 06:12    "West"         254.09    9.2429e+05    2003-11-17 02:04    "winter storm"   
    2004-09-18 05:54    "NorthEast"         0             0                 NaT    "equipment fault"
      ⋮

To create an event table from TT, use the extractevents function. You can specify rows of the timetable using row times, row numbers, logical values, or timerange or withtol subscripts.

Extract the first five rows of the input timetable as an event table. The output event table has five event times, which are equal to the row times of the first five rows of the timetable. The event table has no variables because this extractevents call specifies only rows.

ET = extractevents(TT,1:5)
ET =

  5×0 empty eventtable

  Event Labels Variable: <unset>
  Event Lengths Variable: <instantaneous>

       OutageTime   
    ________________

    2002-02-01 12:18
    2003-01-23 00:49
    2003-02-07 21:15
    2004-04-06 05:44
    2002-03-16 06:18

Add event labels as a variable of the event table. Specify the source of event labels for the output event table as the Cause variable of the input timetable.

ET = extractevents(TT,1:5,EventLabelsVariable="Cause")
ET = 5×1 eventtable
  Event Labels Variable: Cause
  Event Lengths Variable: <instantaneous>

       OutageTime             Cause      
    ________________    _________________

    2002-02-01 12:18    "winter storm"   
    2003-01-23 00:49    "winter storm"   
    2003-02-07 21:15    "winter storm"   
    2004-04-06 05:44    "equipment fault"
    2002-03-16 06:18    "severe storm"
Open Live Script

Create an event table from the rows of a timetable that are within a time range.

Import a timetable from a CSV file.

TT = readtimetable("outages.csv",TextType="string")
TT=1468×5 timetable
       OutageTime         Region        Loss     Customers     RestorationTime           Cause      
    ________________    ___________    ______    __________    ________________    _________________

    2002-02-01 12:18    "SouthWest"    458.98    1.8202e+06    2002-02-07 16:50    "winter storm"   
    2003-01-23 00:49    "SouthEast"    530.14    2.1204e+05                 NaT    "winter storm"   
    2003-02-07 21:15    "SouthEast"     289.4    1.4294e+05    2003-02-17 08:14    "winter storm"   
    2004-04-06 05:44    "West"         434.81    3.4037e+05    2004-04-06 06:10    "equipment fault"
    2002-03-16 06:18    "MidWest"      186.44    2.1275e+05    2002-03-18 23:23    "severe storm"   
    2003-06-18 02:49    "West"              0             0    2003-06-18 10:54    "attack"         
    2004-06-20 14:39    "West"         231.29           NaN    2004-06-20 19:16    "equipment fault"
    2002-06-06 19:28    "West"         311.86           NaN    2002-06-07 00:51    "equipment fault"
    2003-07-16 16:23    "NorthEast"    239.93         49434    2003-07-17 01:12    "fire"           
    2004-09-27 11:09    "MidWest"      286.72         66104    2004-09-27 16:37    "equipment fault"
    2004-09-05 17:48    "SouthEast"    73.387         36073    2004-09-05 20:46    "equipment fault"
    2004-05-21 21:45    "West"         159.99           NaN    2004-05-22 04:23    "equipment fault"
    2002-09-01 18:22    "SouthEast"    95.917         36759    2002-09-01 19:12    "severe storm"   
    2003-09-27 07:32    "SouthEast"       NaN    3.5517e+05    2003-10-04 07:02    "severe storm"   
    2003-11-12 06:12    "West"         254.09    9.2429e+05    2003-11-17 02:04    "winter storm"   
    2004-09-18 05:54    "NorthEast"         0             0                 NaT    "equipment fault"
      ⋮

Create a time range that covers the first six months of the year 2002.

TR = timerange("2002-01-01","2002-06-30")
TR = 
	timetable timerange subscript:

		Select timetable rows with times in the half-open interval:
		  Starting at, including:   01-Jan-2002 00:00:00
		  Ending at, but excluding: 30-Jun-2002 00:00:00

	See Select Times in Timetable.

Extract an event table from the timetable rows that fall within the specified time range. Specify the source of the event labels as the Cause variable of the input timetable.

ET = extractevents(TT,TR,EventLabelsVariable="Cause")
ET = 12×1 eventtable
  Event Labels Variable: Cause
  Event Lengths Variable: <instantaneous>

       OutageTime             Cause       
    ________________    __________________

    2002-02-01 12:18    "winter storm"    
    2002-03-16 06:18    "severe storm"    
    2002-06-06 19:28    "equipment fault" 
    2002-03-26 01:59    "winter storm"    
    2002-04-20 16:46    "unknown"         
    2002-05-18 11:04    "unknown"         
    2002-05-20 10:57    "unknown"         
    2002-03-05 17:53    "wind"            
    2002-05-27 09:44    "wind"            
    2002-05-08 20:34    "thunder storm"   
    2002-06-02 16:11    "energy emergency"
    2002-06-17 23:01    "thunder storm"
Open Live Script

Extract an event table from rows of a timetable that meet a condition. When you extract the events, also specify event end times that make the events into interval events.

Import a timetable from a CSV file. The timetable lists a series of power outages. The data includes number of customers affected by the power outages as well as the times when the power outages begin and the times when power is restored.

TT = readtimetable("outages.csv",TextType="string")
TT=1468×5 timetable
       OutageTime         Region        Loss     Customers     RestorationTime           Cause      
    ________________    ___________    ______    __________    ________________    _________________

    2002-02-01 12:18    "SouthWest"    458.98    1.8202e+06    2002-02-07 16:50    "winter storm"   
    2003-01-23 00:49    "SouthEast"    530.14    2.1204e+05                 NaT    "winter storm"   
    2003-02-07 21:15    "SouthEast"     289.4    1.4294e+05    2003-02-17 08:14    "winter storm"   
    2004-04-06 05:44    "West"         434.81    3.4037e+05    2004-04-06 06:10    "equipment fault"
    2002-03-16 06:18    "MidWest"      186.44    2.1275e+05    2002-03-18 23:23    "severe storm"   
    2003-06-18 02:49    "West"              0             0    2003-06-18 10:54    "attack"         
    2004-06-20 14:39    "West"         231.29           NaN    2004-06-20 19:16    "equipment fault"
    2002-06-06 19:28    "West"         311.86           NaN    2002-06-07 00:51    "equipment fault"
    2003-07-16 16:23    "NorthEast"    239.93         49434    2003-07-17 01:12    "fire"           
    2004-09-27 11:09    "MidWest"      286.72         66104    2004-09-27 16:37    "equipment fault"
    2004-09-05 17:48    "SouthEast"    73.387         36073    2004-09-05 20:46    "equipment fault"
    2004-05-21 21:45    "West"         159.99           NaN    2004-05-22 04:23    "equipment fault"
    2002-09-01 18:22    "SouthEast"    95.917         36759    2002-09-01 19:12    "severe storm"   
    2003-09-27 07:32    "SouthEast"       NaN    3.5517e+05    2003-10-04 07:02    "severe storm"   
    2003-11-12 06:12    "West"         254.09    9.2429e+05    2003-11-17 02:04    "winter storm"   
    2004-09-18 05:54    "NorthEast"         0             0                 NaT    "equipment fault"
      ⋮

Extract an event table from the timetable rows for power outages that affected more than 1,500,000 customers. Label the events as "High Customer Impact". Also include event end times in the event table by specifying their source as the RestorationTime variable of the input timetable.

ET = extractevents(TT,TT.Customers > 1.5e6, ...
                   EventLabels="High Customer Impact", ...
                   EventEndsVariable="RestorationTime")
ET = 14×2 eventtable
  Event Labels Variable: EventLabels
  Event Ends Variable: RestorationTime

       OutageTime       RestorationTime          EventLabels      
    ________________    ________________    ______________________

    2002-02-01 12:18    2002-02-07 16:50    "High Customer Impact"
    2002-12-10 10:45    2002-12-11 18:06    "High Customer Impact"
    2002-05-20 10:57    2002-05-21 15:22    "High Customer Impact"
    2004-09-20 12:37    2004-10-02 06:00    "High Customer Impact"
    2003-08-15 19:06    2003-08-16 05:13    "High Customer Impact"
    2004-09-13 11:51    2004-09-15 23:41    "High Customer Impact"
    2006-10-21 00:12    2006-10-21 12:38    "High Customer Impact"
    2006-12-28 14:04    2007-01-04 14:26    "High Customer Impact"
    2006-07-16 00:05    2006-07-27 14:42    "High Customer Impact"
    2006-01-01 11:54    2006-01-11 01:21    "High Customer Impact"
    2008-09-07 23:35    2008-09-19 17:19    "High Customer Impact"
    2010-01-24 18:47    2010-01-30 01:43    "High Customer Impact"
    2010-05-17 09:10    2010-05-18 22:43    "High Customer Impact"
    2010-07-05 21:07    2010-07-09 03:33    "High Customer Impact"

Attach the event table to the timetable. When you display the timetable, you can see event labels from the event table at the timetable rows whose row times match event times.

TT.Properties.Events = ET
TT=1468×5 timetable with 14 events
                               OutageTime         Region        Loss     Customers     RestorationTime           Cause      
                            ________________    ___________    ______    __________    ________________    _________________

    High Customer Impact    2002-02-01 12:18    "SouthWest"    458.98    1.8202e+06    2002-02-07 16:50    "winter storm"   
                            2003-01-23 00:49    "SouthEast"    530.14    2.1204e+05                 NaT    "winter storm"   
                            2003-02-07 21:15    "SouthEast"     289.4    1.4294e+05    2003-02-17 08:14    "winter storm"   
                            2004-04-06 05:44    "West"         434.81    3.4037e+05    2004-04-06 06:10    "equipment fault"
                            2002-03-16 06:18    "MidWest"      186.44    2.1275e+05    2002-03-18 23:23    "severe storm"   
                            2003-06-18 02:49    "West"              0             0    2003-06-18 10:54    "attack"         
                            2004-06-20 14:39    "West"         231.29           NaN    2004-06-20 19:16    "equipment fault"
                            2002-06-06 19:28    "West"         311.86           NaN    2002-06-07 00:51    "equipment fault"
                            2003-07-16 16:23    "NorthEast"    239.93         49434    2003-07-17 01:12    "fire"           
    High Customer Impact    2004-09-27 11:09    "MidWest"      286.72         66104    2004-09-27 16:37    "equipment fault"
                            2004-09-05 17:48    "SouthEast"    73.387         36073    2004-09-05 20:46    "equipment fault"
                            2004-05-21 21:45    "West"         159.99           NaN    2004-05-22 04:23    "equipment fault"
                            2002-09-01 18:22    "SouthEast"    95.917         36759    2002-09-01 19:12    "severe storm"   
                            2003-09-27 07:32    "SouthEast"       NaN    3.5517e+05    2003-10-04 07:02    "severe storm"   
                            2003-11-12 06:12    "West"         254.09    9.2429e+05    2003-11-17 02:04    "winter storm"   
                            2004-09-18 05:54    "NorthEast"         0             0                 NaT    "equipment fault"
      ⋮
Open Live Script

When you use extractevents to create an event table from a timetable, you can attach the event table to the original timetable. But you can also attach it to the modified copy of the timetable that is returned as the second output of extractevents. The modified copy of the timetable does not include the input timetable variables that were used as variables in the event table.

Import a timetable from a CSV file. Display the first five rows.

TT = readtimetable("outages.csv",TextType="string");
TTdisplay = head(TT,5)
TTdisplay=5×5 timetable
       OutageTime         Region        Loss     Customers     RestorationTime           Cause      
    ________________    ___________    ______    __________    ________________    _________________

    2002-02-01 12:18    "SouthWest"    458.98    1.8202e+06    2002-02-07 16:50    "winter storm"   
    2003-01-23 00:49    "SouthEast"    530.14    2.1204e+05                 NaT    "winter storm"   
    2003-02-07 21:15    "SouthEast"     289.4    1.4294e+05    2003-02-17 08:14    "winter storm"   
    2004-04-06 05:44    "West"         434.81    3.4037e+05    2004-04-06 06:10    "equipment fault"
    2002-03-16 06:18    "MidWest"      186.44    2.1275e+05    2002-03-18 23:23    "severe storm"

Then extract an event table from the timetable. Extract the timetable rows where the cause of the outage does not contain the word "storm". Specify the timetable variables that have the event labels and the event end times. The output event table includes these two variables. The second output is a copy of TT that does not include the RestorationTime or Cause variables. You might not need to keep these variables in the output timetable because you have copies of them in the event table.

[ET,TTcopy] = extractevents(TT,~contains(TT.Cause,"storm"), ...
                            EventLabelsVariable="Cause", ...
                            EventEndsVariable="RestorationTime");
ETdisplay = head(ET,5)
ETdisplay = 5×2 eventtable
  Event Labels Variable: Cause
  Event Ends Variable: RestorationTime

       OutageTime       RestorationTime           Cause      
    ________________    ________________    _________________

    2004-04-06 05:44    2004-04-06 06:10    "equipment fault"
    2003-06-18 02:49    2003-06-18 10:54    "attack"         
    2004-06-20 14:39    2004-06-20 19:16    "equipment fault"
    2002-06-06 19:28    2002-06-07 00:51    "equipment fault"
    2003-07-16 16:23    2003-07-17 01:12    "fire"           


TTcopydisplay = head(TTcopy,5)
TTcopydisplay=5×3 timetable
       OutageTime         Region        Loss     Customers 
    ________________    ___________    ______    __________

    2002-02-01 12:18    "SouthWest"    458.98    1.8202e+06
    2003-01-23 00:49    "SouthEast"    530.14    2.1204e+05
    2003-02-07 21:15    "SouthEast"     289.4    1.4294e+05
    2004-04-06 05:44    "West"         434.81    3.4037e+05
    2002-03-16 06:18    "MidWest"      186.44    2.1275e+05

To specify timetable variables that become event data variables in the output event table, specify the EventDataVariables name-value argument.

[ET,TTcopy] = extractevents(TT,~contains(TT.Cause,"storm") ,...
                            EventLabelsVariable="Cause", ...
                            EventEndsVariable="RestorationTime", ...
                            EventDataVariables="Region");
ETdisplay = head(ET,5)
ETdisplay = 5×3 eventtable
  Event Labels Variable: Cause
  Event Ends Variable: RestorationTime

       OutageTime       RestorationTime           Cause            Region   
    ________________    ________________    _________________    ___________

    2004-04-06 05:44    2004-04-06 06:10    "equipment fault"    "West"     
    2003-06-18 02:49    2003-06-18 10:54    "attack"             "West"     
    2004-06-20 14:39    2004-06-20 19:16    "equipment fault"    "West"     
    2002-06-06 19:28    2002-06-07 00:51    "equipment fault"    "West"     
    2003-07-16 16:23    2003-07-17 01:12    "fire"               "NorthEast"


TTcopydisplay = head(TTcopy,5)
TTcopydisplay=5×2 timetable
       OutageTime        Loss     Customers 
    ________________    ______    __________

    2002-02-01 12:18    458.98    1.8202e+06
    2003-01-23 00:49    530.14    2.1204e+05
    2003-02-07 21:15     289.4    1.4294e+05
    2004-04-06 05:44    434.81    3.4037e+05
    2002-03-16 06:18    186.44    2.1275e+05

To attach the event table to the modified copy of the timetable, assign it to the Events property of the timetable.

TTcopy.Properties.Events = ET;
TTcopydisplay = head(TTcopy,5)
TTcopydisplay=5×2 timetable with 784 events
                          OutageTime        Loss     Customers 
                       ________________    ______    __________

                       2002-02-01 12:18    458.98    1.8202e+06
                       2003-01-23 00:49    530.14    2.1204e+05
                       2003-02-07 21:15     289.4    1.4294e+05
    equipment fault    2004-04-06 05:44    434.81    3.4037e+05
                       2002-03-16 06:18    186.44    2.1275e+05

Input Arguments

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Input timetable.

Rows of the input timetable, specified as a datetime, duration, numeric, or logical vector, or as a timerange or withtol subscript.

Event labels, specified as a categorical vector. The number of elements in the labels input argument must be the same as the number of rows of the input timetable. The category names in labels become event labels in a variable of the output event table. The event table has a row for every row time in the input timetable, except for any row where labels has a missing value.

Name-Value Arguments

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Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Example: ET = extractevents(TT,TT.Var1 > 10,EventLabels="High") extracts timetable rows where TT.Var1 is greater than 10 and returns them as an event table with High event labels.

Event labels, specified as a scalar or vector. The scalar or vector can have any data type except for datetime, duration, calendarDuration, table, or timetable. If this argument is a vector, then it must have the same number of elements as the rows input argument.

Example: ET = extractevents(TT,rows,EventLabels=cause) creates an event table from timetable TT and specifies vector cause as the source of the event labels in ET.

Variable of the input timetable that has event labels, specified as a string scalar, character vector, integer, logical array, or pattern scalar. The event labels can have any data type except for datetime, duration, calendarDuration, table, or timetable.

  • If you specify a logical array, then it must have one true value that specifies one variable of the input timetable.

  • If you specify a pattern scalar, then the name of the first variable of the input timetable that it matches becomes the value of EventLabelsVariable.

Example: ET = extractevents(TT,rows,EventLabelsVariable="Var1") creates an event table from timetable TT and specifies the variable named Var1 in TT as the source of the event labels in ET.

Lengths of time that events last, specified as a duration or calendarDuration scalar or vector. If this argument is a vector, then it must have the same number of elements as the rows input argument.

  • If the row times of the input timetable are datetime values, then the event lengths can be either duration or calendarDuration values.

  • If the row times of the input timetable are duration values, then the event lengths can be only duration values.

If you specify this name-value argument, then you cannot specify either the EventEnds or the EventEndsVariable arguments.

Example: ET = extractevents(TT,rows,EventLengths=eventDurations) creates an event table from timetable TT and specifies vector eventDurations as the source of the event lengths in ET.

Variable of the input timetable that has event lengths, specified as a string scalar, character vector, integer, logical array, or pattern scalar.

  • If you specify a logical array, then it must have one true value that specifies one variable of the input timetable.

  • If you specify a pattern scalar, then the name of the first variable of the input timetable that it matches becomes the value of EventLengthsVariable.

The event lengths must be duration or calendarDuration values.

  • If the row times of the input timetable are datetime values, then the event lengths in the variable specified by EventLengthsVariable can be either duration or calendarDuration values.

  • If the row times of the input timetable are duration values, then the event lengths in the variable specified by EventLengthsVariable can be only duration values.

If you specify this name-value argument, then you cannot specify either the EventEnds or the EventEndsVariable argument.

Example: ET = extractevents(TT,rows,EventLengthsVariable="EventDurations") creates an event table from timetable TT and specifies the variable named "EventDurations" in TT as the source of the event lengths in ET.

Times at which events end, specified as a datetime or duration scalar or vector. If this argument is a vector, then it must have the same number of elements as the rows input argument. Also, the data type of this argument must match the data type of the vector of row times of the input timetable. For example, if the timetable row times are datetime values, then you must specify EventEnds as a datetime vector.

If you specify this name-value argument, then you cannot specify either the EventLengths or the EventLengthsVariable arguments.

Example: ET = extractevents(TT,rows,EventEnds=endTimes) creates an event table from timetable TT and specifies vector endTimes as the source of the end times of the events in ET.

Variable of the input timetable that has event ends, specified as a string scalar, character vector, integer, logical array, or pattern scalar.

  • If you specify a logical array, then it must have one true value that specifies one variable of the input timetable.

  • If you specify a pattern scalar, then the name of the first variable of the input timetable that it matches becomes the value of EventEndsVariable.

The event ends must be datetime or duration values. Also, the event ends and the event times must have the same data type. For example, if the input timetable has row times that are datetime values, then you must specify EventEndsVariable as a variable that is a datetime vector.

If you specify this name-value argument, then you cannot specify either the EventLengths or the EventLengthsVariable argument.

Example: ET = extractevents(TT,rows,EventEndsVariable="EndTimes") creates an event table from timetable TT and specifies the variable named "EndTimes" in TT as the source of the end times of the events in ET.

Variables of the input timetable that become variables of the output event table, specified as a string array, character vector, integer array, logical array, or pattern scalar. These variables do not label events or specify their ends or durations. They are data variables that extractevents copies to the output event table.

  • If you specify a logical array, then it must have a true value for every variable that is copied to the event table.

  • If you specify a pattern scalar, then EventDataVariables is an array of the timetable variable names that match the pattern.

Example: ET = extractevents(TT,rows,EventDataVariables=["Var1","Var2","Var3"]) creates an event table from timetable TT and specifies that the variables named "Var1", "Var2", and "Var3" in TT become variables in the output event table ET.

Preserve data variables in the second output, specified as a numeric or logical 1 (true) or 0 (false).

Example: [ET,TT2] = extractevents(TT,rows,EventDataVariables=["Var1","Var2","Var3"],PreserveEventVariables=true) specifies that the variables named "Var1", "Var2", and "Var3" are data variables in ET and are preserved in TT2.

Output Arguments

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Event table.

Modified copy of the input timetable, returned as a timetable.

The copy does not include input timetable variables that you specify using the EventDataVariables name-value argument, unless you also specify the PreserveEventVariables argument as true.

Version History

Introduced in R2023a

See Also

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Topics