By placing many comments throughout codes in ME 160, the author will ensure that the code is easily read and edited by themselves, their peers, and the faculty grading final codes. Comments are essential to writing efficient, long codes that can easily be read and edited by both the initial author and their peers. MATLAB will then ignore everything typed after that percent sign, enabling the user to type information regarding the function of the code or what a part of the code does. To make a comment within a code, the user can type % at the beginning of a line of code. CommentsĬomments are a built-in way MATLAB has enabled users to make notes within a code without affecting the code’s function. For more information about MathWorks interactive programs, refer to Appendix I at the end of this text. Mathworks has provided many interactive MATLAB coding tutorials which enable the user to walk through exercises in a virtual “MATLAB Onramp” course. The documentation page for a specific function can be reached by following the hyperlink at the bottom of the help page in MATLAB or by searching for the “MathWork s MATLAB Documentation” in a search engine.Īs the reader is most likely just beginning to code in MATLAB, interactive tutorials offered on the MathWorks webpage may prove as valuable supplements to in-class work. Specifically, resources provided within the documentation page are most valuable within the context of ME 160. Appendix I of this text discusses many resources that are provided outside of MATLAB software itself. Many other resources exist outside of the program within both the MathWorks’ webpage and resources produced by third-party vendors. 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. 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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