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Class: timeseries

Plot time series


plot(ts,Name, Value)
plot(tsc.tsname,Name, Value)


plot(ts) plots the timeseries data ts against time and interpolates values between samples by using either zero-order-hold ('zoh') or linear interpolation (the default). The plot displays in the current axes. MATLAB® creates a title and axes, if none exists.

plot(tsc.tsname) plots the timeseries object, tsname that is part of the tscollection, tsc.

plot(ts,linespec) plots the timeseries data using a line graph and applies the specified linespec to lines, markers, or both.

plot(tsc.tsname,linespec) plots the timeseries object that is part of a timeseries collection as a line graph and applies the specified linespec to lines, markers, or both.

plot(ts,Name, Value) plots a line graph of the time series data using the values specified for Line Properties.

plot(tsc.tsname,Name, Value) plots a line graph of the timeseries object that is part of the specified timeseries collection using the values specified for Line Properties.

Input Arguments


A timeseries object.


A tscollection.


The name of a timeseries object within the tscollection .


expand all

Create a time series object, set the start date, and then plot the time vector relative to the start date.

x = [2 5 8 2 11 3 6];
ts1 = timeseries(x,1:7);

ts1.Name = 'Daily Count';
ts1.TimeInfo.Units = 'days';
ts1.TimeInfo.StartDate = '01-Jan-2011';     % Set start date.
ts1.TimeInfo.Format = 'mmm dd, yy';       % Set format for display on x-axis.

ts1.Time = ts1.Time - ts1.Time(1);        % Express time relative to the start date.


Create two time series objects from traffic count data, and then plot them in sequence on the same axes. Add an event to one series, which is automatically displayed with a red marker.

load count.dat;
count1 = timeseries(count(:,1),1:24);
count1.Name = 'Oak St. Traffic Count';
count1.TimeInfo.Units = 'hours';
grid on

Obtain time of maximum value and add it as an event:

[~,index] = max(count1.Data);
max_event = tsdata.event('peak',count1.Time(index));
max_event.Units = 'hours';

Add the event to the time series:

count1 = addevent(count1,max_event);

Replace plot with new one showing the event:

grid on

Make a new time series object from column 2 of the same data source:

count2 = timeseries(count(:,2),1:24);
count2.Name = 'Maple St. Traffic Count';
count2.TimeInfo.Units = 'Hours';

Turn hold on to add the new data to the plot:

hold on

The plot method does not add labels to a held plot. Use property/value pairs to customize markers:


Labels are erased, so generate them manually:

title('Time Series: Oak Street and Maple Street')
xlabel('Hour of day')
ylabel('Vehicle count')

Add a legend in the upper left:

legend('Oak St.','Maple St.','Location','northwest')


  • The timeseries/plot method generates titles and axis labels automatically. These labels are:

    • Plot Title — 'Time Series Plot: <name>'

      where <name> is the string assigned to ts.Name, or by default, 'unnamed'

    • X-Axis Label — 'Time (<units>)'

      where <units> is the value of the ts.TimeInfo.Units field, which defaults to 'seconds'

    • Y-Axis Label — '<name>'

      where <name> is the string assigned to ts.Name, or by default, 'unnamed'

  • You can place new time series data on a time series plot (by setting hold on, for example, and issuing another timeseries/plot command). When you add data to a plot, the title and axis labels become blank strings to avoid labeling confusion. You can add your own labels after plotting using the title, xlabel, and ylabel commands.

  • Time series events, when defined, are marked in the plot with a circular marker with red fill. You can also specify markers for all data points using a linespec or name/value syntax in addition to any event markers your data defines. The event markers plot on top of the markers you define.

  • The value assigned to ts.DataInfo.Interpolation.Name controls the type of interpolation the plot method uses when plotting and resampling time series data. Invoke the timeseries method setinterpmethod to change default linear interpolation to zero-order hold interpolation (staircase). This method creates a new timeseries object, with which you can overwrite the original one if you want. For example, to cause time series ts to use zero-order hold interpolation, type the following:

    ts = ts.setinterpmethod('zoh');

Introduced before R2006a

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