Download [TOP] 23 Timetable

timetable is a type of table that associates a time with each row for use with time series data. Like tables, timetables store column-oriented data variables that can have different data types and sizes as long as they have the same number of rows. In addition, timetables provide time-specific functions to align, combine, and perform calculations with timestamped data in one or more timetables.

The row times of a timetable are datetime or duration values that label the rows. You can index into a timetable by row time and variable. To index into a timetable, use smooth parentheses () to return a subtable or curly braces {} to extract the contents. You can reference variables and the vector of row times using names. For more information on indexing, see Select Times in Timetable and Access Data in Tables.

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To find and label events in a timetable, attach an event table to it. Event tables list the times at which events occur, along with event labels and other information about events. For more information, see eventtable. (since R2023a)

Alternatively, you can use the timetable function described below. Create a timetable from input arrays or preallocate space for variables whose values are filled in later. To specify the row times, you can either use an input vector of row times or create the row times by using a sample rate or time step.

TT = timetable(rowTimes,var1,...,varN) creates a timetable from the input data variables var1,...,varN and the time vector rowTimes. The data variables can have different sizes and data types as long as they have the same number of rows. rowTimes must be a datetime or duration vector, also with the same number of rows.

TT = timetable(var1,...,varN,'RowTimes',rowTimes) specifies rowTimes as the source of the row times of TT. When you use this syntax, the name of the row times vector of TT is always Time, even when rowTimes is a workspace variable with a different name.

TT = timetable(var1,...,varN,'SampleRate',Fs) uses the sample rate Fs to calculate regularly spaced row times. Fs is a positive numeric scalar that specifies the number of samples per second (Hz). The first row time is zero seconds.

TT = timetable(var1,...,varN,'TimeStep',dt) uses the time step dt to calculate regularly spaced row times. dt is a duration or calendarDuration value that specifies the length of time between consecutive row times. The first row time is zero seconds.

TT = timetable('Size',sz,'VariableTypes',varTypes,'RowTimes',rowTimes) creates a timetable and preallocates space for the variables that have data types you specify. sz is a two-element numeric array, where sz(1) specifies the number of rows and sz(2) specifies the number of variables. varTypes specifies the data types of the variables. The number of times in rowTimes must equal sz(1).

TT = timetable(___,Name,Value) specifies additional input arguments using one or more name-value pair arguments. For example, you can specify variable names using the 'VariableNames' name-value pair. You also can specify a start time using the 'StartTime' name-value pair with a sample rate or time step. You can use this syntax with any of the input arguments of the previous syntaxes.

Times associated with rows of a timetable, specified as a datetime vector or duration vector. Each time labels a row in the output timetable, TT. The time values in rowTimes do not need to be unique, sorted, or regular.

Size of the preallocated timetable, specified as a two-element numeric vector. The first element of sz specifies the number of rows, and the second element specifies the number of timetable variables.

If you specify 'char' as a data type, then timetable preallocates the corresponding variable as a cell array of character vectors, not as a character array. Best practice is to avoid creating table or timetable variables that are character arrays. When working with text data in a table or a timetable, consider using a string array or a categorical array.

A timetable contains metadata properties that describe the timetable, its row times, and its variables. Access these properties using the syntax timetableName.Properties.PropertyName, where PropertyName is the name of a property. For example, you can access the names of the variables in the timetable TT through the TT.Properties.VariableNames property.

Timetables provide metadata access through the Properties property because you can access timetable data directly using dot syntax. For example, if timetable TT has a variable named Var1, then you can access the values in the variable by using the syntax TT.Var1.

Events, specified as an event table, a datetime vector, or a duration vector. Event tables list the times at which events occur, labels that describe the events, and sometimes other information about the events. To find and label timetable rows that occur during events, attach events to the timetable by assignment to the Events property.

The row times of the timetable and the event times associated with events must have the same data type. For example, you cannot attach a duration vector, or an event table whose event times are duration values, to a timetable whose row times are datetime values.

The variable names are visible when viewing the timetable and when using the summary function. Furthermore, you can use the variable names within parentheses, within curly braces, or with dot indexing to access table data.

The values in VariableContinuity affect how the retime or synchronize functions work. If you specify VariableContinuity and call retime or synchronize, then you do not need to specify a method. Instead, retime and synchronize fill in the output timetable variables using the following default methods:

The CustomProperties object is a container for customized metadata that you can add to a timetable. By default, CustomProperties has zero properties. Each property you add to CustomProperties can contain either table metadata or variable metadata. If a property contains variable metadata, then its value must be an array, and the number of elements in the array must equal the number of timetable variables.

To access or modify customized metadata, use the syntax timetableName.Properties.CustomProperties.PropertyName. In this syntax, PropertyName is the name you chose when you added that property using addprop.

Create a timetable from workspace variables. The values in MeasurementTime become the row times of the timetable. All the other input arguments become the timetable variables. When you use this syntax, the names of the row times vector and the variables of TT are the names of the corresponding input arguments.

Access the row times using the name of the row times vector. This name is also the name of the first dimension of the timetable. outdoors stores the row times as a datetime vector. Display the first three times.

Access all the timetable data as a matrix, using the syntax outdoors.Variables. This syntax uses the second dimension name of the timetable, and is equivalent to accessing all the contents using curly brace indexing, outdoors{:,:}. However, the matrix does not include row times, because the vector of row times is timetable metadata, not a variable. If the timetable data cannot be concatenated into a matrix, then an error message is raised.

Add a row of data to TT. Preallocation can be a useful technique when your code adds one row of data, or a few rows of data, at a time. Instead of growing the timetable every time you add a row, you can fill in table variables that already have room for your data. You can encapsulate a row of data values in a cell array, and assign it to a row of the timetable.

Starting in R2019b you can specify timetable variable names that are not valid MATLAB identifiers. Such variable names can include spaces, non-ASCII characters, and can have any character as the leading character.

In certain cases, you can call timetable with a syntax that specifies a regular time step between row times, and yet timetable returns an irregular timetable. This result occurs when you specify the time step using a calendar unit of time and there is a row time that introduces an irregular step. For example, if you create a timetable with a time step of one calendar month, starting on January 31, 2019, then it is irregular with respect to months.

Manually construct a tall timetable from the variables in a tall table using the timetable constructor.ds = tabularTextDatastore('data/folder/path.csv');tt = tall(ds);TT = timetable(rowTimes, tt.Var1, tt.Var2, ...)

Supported Functions. The Extended Capabilities section at the bottom of each reference page indicates whether that function supports tall arrays, and if so, whether there are any limitations when using the function with tall timetables.

You can now perform calculations directly on tables and timetables without extracting their data. All the variables in your tables and timetables must have data types that support calculations. You can also perform operations where one operand is a table or timetable and the other is a numeric or logical array. Previously, all calculations required you to extract data from your tables and timetables by indexing into them.

To find and label events in a timetable, attach an event table to it. An event table is a timetable of events. An event consists of an event time (when something happened), often an event length or event end time (how long it happened), often an event label (what happened), and sometimes additional information about the event. Event tables are designed to be attached to timetables. When you attach an event table to a timetable, you can find or label rows in the timetable that occur during events.

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