All these ways of commenting in MATLAB are covered here read for more info. We can use the single line, block comment, or spanning multiple lines comments in MATLAB to make code lines more readable. This article covers various ways of commenting on MATLAB. By using comments, we can make code more readable, prevent errors, and improve the overall quality of code. ConclusionĬomments are a valuable tool for documenting and understanding MATLAB code. It is purely a stylistic convention to make the code more readable and to indicate that the comment is intended to span multiple lines. It’s important to note that the Dot-Dot-Dot (Ellipsis) is only used within comments and does not affect the actual execution of the code. This way, the comment can extend across several lines without the need to repeat the comment symbol (%) on each line. The Dot-Dot-Dot (Ellipsis) at the end of each line indicates that the comment continues onto the next line. This MATLAB code contains comments with multiple lines that are enclosed within the curly braces (). set_minor_formatter ( NullFormatter ()) # Adjust the subplot layout, because the logit one may take more space # than usual, due to y-tick labels like "1 - 10^" plt. grid ( True ) # Format the minor tick labels of the y-axis into empty strings with # `NullFormatter`, to avoid cumbering the axis with too many labels. yscale ( 'symlog', linthreshy = 0.01 ) plt. arange ( len ( y )) # plot with various axes scales plt. seed ( 19680801 ) # make up some data in the interval ]0, 1 y. Import numpy as np import matplotlib.pyplot as plt from matplotlib.ticker import NullFormatter # useful for `logit` scale # Fixing random state for reproducibility np. Maintains internal references until close() The figure appears on the screen, is not enough, because pyplot Released until the figure is explicitly closed withįigure, and/or using the window manager to kill the window in which More thing: the memory required for a figure is not completely If you are making lots of figures, you need to be aware of one Stateful wrapper around an object oriented API, which you can use It annoying that states (specifically the current image, figure and axes)Īre being maintained for you behind the scenes, don’t despair: this is just a thin You can clear the current figure with clf()Īnd the current axes with cla(). title ( 'Easy as 1, 2, 3' ) # subplot 211 title subplot ( 211 ) # make subplot(211) in figure1 current plt. figure ( 1 ) # figure 1 current subplot(212) still current plt. plot () # creates a subplot(111) by default plt. subplot ( 212 ) # the second subplot in the first figure plt. subplot ( 211 ) # the first subplot in the first figure plt. Of course, each figure can contain as many axes and subplots You can create multiple figures by using multiple Placing axes manually and pylab_examples example code: subplots_demo.py for an See pylab_examples example code: axes_demo.py for an example of Which allows you to specify the location as axes() where all values are in fractional (0 to 1)Ĭoordinates. Rectangular grid, use the axes() command, If you want to place an axes manually, i.e., not on a You can create an arbitrary number of subplotsĪnd axes. To customize a keyboard shortcut: Open the Keyboard Shortcuts Preferences page in the Preferences Window and, in the search box, type an existing keyboard shortcut or the name of an action, tool, or menu. Subplot() command specifies numrows, numcols, fignum where fignum ranges from 1 to Will be created by default if you don’t manually specify any axes. The figure() command here is optional becauseįigure(1) will be created by default, just as a subplot(111) To get a list of settable line properties, call the PropertyĪ Path instance and a Transform instance, a PatchĪ instance Here are the available Line2D properties. setp ( lines, color = 'r', linewidth = 2.0 ) # or MATLAB style string value pairs plt. plot ( x1, y1, x2, y2 ) # use keyword args plt.
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