extractevents
Syntax
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.
creates an event table using the row times from the input timetable and attaches event
labels in ET
= extractevents(TT
,labels
)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.
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.ET
= extractevents(___,Name=Value
)
Event lengths and event end times are mutually exclusive. You can specify event lengths or event end times, but not both.
[
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
ET
,TT2
] = extractevents(___)PreserveEventVariables
name-value argument as
true
.
Examples
Extract Event Table from Timetable
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 = 5x0 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 = 5x1 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"
Extract Events Within Time Range
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
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 = 12x1 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"
Extract Events from Rows That Meet Condition
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 = 14x2 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
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"
⋮
Return Event Table and Modified Timetable
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 = 5x2 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 = 5x3 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
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
TT
— Input timetable
timetable
Input timetable.
labels
— Event labels
categorical
vector
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
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.
EventLabels
— Event labels
scalar | vector
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
.
EventLabelsVariable
— Variable of input timetable that has event labels
string scalar | character vector | integer | logical array | pattern
scalar
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 ofEventLabelsVariable
.
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
.
EventLengths
— Lengths of time that events last
duration
or calendarDuration
scalar or
vector
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 eitherduration
orcalendarDuration
values.If the row times of the input timetable are
duration
values, then the event lengths can be onlyduration
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
.
EventLengthsVariable
— Variable of input timetable that has event lengths
string scalar | character vector | integer | logical array | pattern
scalar
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 ofEventLengthsVariable
.
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 byEventLengthsVariable
can be eitherduration
orcalendarDuration
values.If the row times of the input timetable are
duration
values, then the event lengths in the variable specified byEventLengthsVariable
can be onlyduration
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
.
EventEnds
— Times at which events end
datetime
or duration
scalar or
vector
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
.
EventEndsVariable
— Variable of input timetable that has event ends
string scalar | character vector | integer | logical array | pattern
scalar
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 ofEventEndsVariable
.
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
.
EventDataVariables
— Variables of input timetable that become variables of output event table
string array | character vector | integer array | logical array | pattern
scalar
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, thenEventDataVariables
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
.
PreserveEventVariables
— Preserve data variables in second output
false
or 0
(default) | true
or 1
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
ET
— Event table
event table
Event table.
TT2
— Modified copy of input timetable
timetable
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
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