This is where the undocumented, yet powerful, MATLAB function becomes indispensable.
Kaelen raised the axe.
The engine cross-checks documents against the two most crucial digital accessibility frameworks in the world: axescheck
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If you are developing a toolbox or sharing code with others, using axescheck ensures your custom plotting functions behave exactly like standard MATLAB built-ins. Share public link This is where the undocumented, yet powerful, MATLAB
This comprehensive article explores the core features of axesCheck, the legal frameworks underpinning PDF accessibility, and how you can implement this tool into your document workflows. What is axesCheck?
Ensuring a time-series matrix is at least 2-dimensional. If you are developing a toolbox or sharing
function myCustomPlot(varargin) % 1. Extract the axes if provided [ax, args, nargs] = axescheck(varargin:); % 2. If no axes was provided, use the current one (gca) if isempty(ax) ax = gca; end % 3. Extract your data from 'args' x = args1; y = args2; % 4. Perform the plot on the specific axes line(x, y, 'Parent', ax); end Use code with caution. Modern Context: Beyond the Command Line
def axescheck_numpy(array): if array.ndim != 2: raise ValueError("Axescheck: Expected 2D array") assert np.all(np.isfinite(array)), "Axescheck: Infinite or NaN detected" # Check axis symmetry if required return True
If your custom function only expects data arrays ( x and y ), passing an axes handle will confuse your code and break the program. axescheck solves this problem. It acts like a security guard at the entrance of your function, checking the inputs before they go any further. [ax, args, nargs] = axescheck(varargin:); Use code with caution.