![]() ![]() Image by author Using Position Coordinates In all cases, the linear indices have been included over the plots to illustrate which parts of the grid they are covering. Finally, the last sub-plot is in the bottom right corner and spans the last two rows. The second sub-plot is placed in the bottom left corner and covers a 2 x 2 sub-grid. The first sub-plot is placed at the top of the grid and spans all three columns. This method lets you make some really nice looking plots that can easily accommodate various types of data. So for example, subplot( 1, 3, ) would create a subplot grid that has three columns and a single plot that occupies the first two columns. This is accomplished by passing in an array of linear indices as third argument, rather than just a single value. ![]() Image by author Using Different Sized PlotsĪ slightly more flexible way of using subplot() is to place sub-plots over multiple points in the grid. ![]() For convenience, I have also used the text() function to display the linear index in each subplot. Let’s start with a simple example that includes three sub-plots along a single row. It’s OK if this doesn’t make sense yet, the ordering is visualized in all of the examples within this section, and is especially obvious in the grid example. The index starts at 1 and increases from left to right and top to bottom. The third argument is a linear index that selects the current active plot axes. The first two arguments define the number of rows and columns that will be included in the grid. The basic form of the subplot() command takes in three inputs: nRows, nCols, linearIndex. The subplot() function in MATLAB/Octave allows you to insert multiple plots on a grid within a single figure. ![]() The source code for the included examples can be found in the GitHub repository. The provided examples work in both MATLAB and Octave. In this tutorial, I describe three different ways to use the subplot() command and provide examples of each. They can also be used to quickly create interactive Graphical User Interfaces (GUIs). They allow users to very quickly create customized data visualizations and displays. Line 7-10: Index the ax array to plot different subplots on the figure fig.Sub-plotting is a very powerful feature in MATLAB.Line 5: Generate some data using numpy.Line 4: Generate a figure with 2 rows and 2 columns of subplots.Line 1-2: Import matplotlib.pyplot for plotting and numpy for generating data to plot.Here is an example on how to use the method: ax: A single object of the axes.Axes object if there is only one plot, or an array of axes.Axes objects if there are multiple plots, as specified by the nrows and ncols.fig: The object to be used as a container for all the subplots.Here is an explanation of the tuple returned by the function: **fig_kw: Any additional keyword arguments to be passed to pyplot.figure call.gridspec_kw: Dict of grid specifications passed to GridSpec constructor to place grids on each subplot.subplot_kw: Dict of keywords to be passed to the add_subplot call to add keywords to each subplot.squeeze: Boolean value specifying whether to squeeze out extra dimension from the returned axes array ax.Possible values are none, all, row, col or a boolean with a default value of False. sharex, sharey: Specifies sharing of properties between axes.Both of these are optional with a default value of 1. nrows, ncols: Number of rows and columns of the subplot grid.Given below is the detail of each parameter to the method: ![]()
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