In MATLAB®, you can create timetables and assign data to them in several ways. Create a timetable from a vector of row times and data arrays by using the timetable function. Add variables to an existing timetable by using dot notation.

To create a timetable, you can read data from a file into a table using the readtimetable function, or you can convert variables having other data types. To convert: An array, use the array2timetable function. A table, use the table2timetable function. A timeseries object, use the timeseries2timetable function.

Create timetables from input row times and data arrays, by converting arrays, tables, or timeseries arrays, or by importing files with tabular data. Clean Timetable with Missing, Duplicate, or Nonuniform Times

Apr 26, 2025 · This article discussed various methods of creating timetables in MATLAB and also briefly explained how to access the elements of a table in MATLAB.

Matlab has many ways to create a timetable , here is a list of it. Following is the syntax for timetable () function. The function timetable () will create a table where var1varN are input data variables. The parameter rowTimes is a time vector.

Jul 30, 2010 · At the end of some data processing in MATLAB, I want to create a plot which shows colored timeline bars for a series of data. I have a number of processes which each go through similar steps, and start and stop and different at different times.

Nov 20, 2017 · I would like to plot all columns of a timetable. For example, let's say, I have a timetable with two columns. time = datetime({'2017-11-15'; '2017-11-18'; '2017-11-19'}); col1 = [NaN;4;5]; col2 = [7;6;4]; tt = timetable(time, col1, col2);

TT = readtimetable(___,Name,Value) creates a timetable from a file with additional options specified by one or more name-value pair arguments. Use any of the input arguments from the previous syntaxes before specifying the name-value pairs.

Oct 2, 2018 · In R2013b, MATLAB® introduced the table data type, as a convenient container for column-oriented data. And in R2016b, MATLAB introduced the timetable data type, which is a table that has timestamped rows. From the beginning, these data types offered advantages over cell arrays and structures.

Sep 18, 2019 · One option would be to create a cell array of the timetables and then use a cellfun to perform your analysis. For example, if you would like to perform the lag calculation on the timetables, you could do the following: myData = {z1, z2}; myLags cellfun(@lag, myArray);