Types of MATLAB Plots. There are various functions that you can use to plot data in MATLAB ®. This table classifies and illustrates the common graphics functions.

Create plots by passing a table to the plot function followed by the variables you want to plot. When you specify your data as a table, the axis labels and the legend (if present) are automatically labeled using the table variable names.

Use the plot function to plot graph and digraph objects. By default, plot examines the size and type of graph to determine which layout to use. The resulting figure window contains no axes tick marks.

Create Plot Spanning Multiple Rows or Columns. To create a plot that spans multiple rows or columns, specify the span argument when you call nexttile. For example, create a 2-by-2 layout. Plot into the first two tiles. Then create a plot that spans one row and two columns.

Create a two-dimensional line plot using the plot function. For example, plot the value of the sine function from 0 to 2 π . x = linspace(0,2*pi,100); y = sin(x); plot(x,y)

The MATLAB plot gallery provides examples of many ways to display data graphically in MATLAB. You can view and download source code for each plot, and use it in your own MATLAB project.

Plot the graph, labeling the edges with their weights, and making the width of the edges proportional to their weights. Use a rescaled version of the edge weights to determine the width of each edge, such that the widest line has a width of 5.

Specify Plot Colors. MATLAB ® creates plots using a default set of colors. The default colors provide a clean and consistent look across the different plots you create. You can customize the colors if you need to. Many plotting functions have an input argument such as c or colorspec for customizing the color. The objects returned by these ...

To create two-dimensional line plots, use the plot function. For example, plot the sine function over a linearly spaced vector of values from 0 to 2 π : x = linspace(0,2*pi); y = sin(x); plot(x,y)

2021年6月29日 · It is not clear whether you want both plots in the same graph, or both plots in separate graphs but in the same window. Below are the possible solutions for either of those which you can try. I've taken dead nodes v/s rounds and alive nodes v/s rounds for the plots.