internally, ensuring that only valid axes handles are processed.
: Manually checking isa(varargin1, 'matlab.graphics.axis.Axes') is tedious and error-prone, especially when dealing with empty inputs or different types of containers.
Firmly grip the handle and try to wiggle the axe head. There should be absolutely zero movement or play.
While the specific implementation varies by industry, a generic framework consists of four distinct phases. axescheck
For many organizations, especially those in the public sector or receiving federal funding, meeting accessibility standards is a . The rise of laws like the European Accessibility Act (EAA) and the continued enforcement of Section 508 in the US means that non-compliance can lead to legal challenges, fines, and damage to an organization's reputation. Using a tool like AxesCheck is a crucial first step in mitigating these risks and demonstrating a commitment to inclusivity.
function myplot(varargin) % Parse the input, checking for an axes handle [cax, args] = axescheck(varargin:); % Determine which axes to use if isempty(cax) hax = gca; else hax = cax; end % Now, use the 'hax' handle and the remaining arguments in 'args' to plot. % ... (plotting code here) end
For instance, an automated scanner can tell you if an image has alternative text, but it cannot determine if that text accurately describes the image contextually. Therefore, AxesCheck should always be paired with manual testing, which includes navigating your site using only a keyboard and conducting user testing with individuals who rely on assistive technologies. Final Thoughts internally, ensuring that only valid axes handles are
import matplotlib.pyplot as plt
import numpy as np
function myCustomScatter(varargin) % 1. Extract potential axes targets and clean up arguments [ax, plotArgs, numPlotArgs] = axescheck(varargin:); % 2. Enforce minimum parameter criteria for core operations if numPlotArgs < 2 error('myCustomScatter:Validation', 'Must provide at least X and Y vectors.'); end xData = plotArgs1; yData = plotArgs2; % 3. Establish target container context smoothly if isempty(ax) ax = gca(); % Fallback to current axes if none supplied end % 4. Render data inside the targeted coordinate system scatter(ax, xData, yData, 'filled', 'MarkerFaceColor', [0 0.45 0.74]); grid(ax, 'on'); end Use code with caution. Troubleshooting Common Implementation Pitfalls There should be absolutely zero movement or play
However, in professional jargon, has evolved to represent a broader discipline:
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