In many scenarios, it is necessary to generate plots without tick marks or axis numbers. However, a common issue arises when Matplotlib adjusts the x/y tick labels and appends or subtracts a specific value (e.g., '6.18' in the provided example).
1. Disabling the Adjustment Behavior:
To completely disable this behavior, prevent Matplotlib from adjusting the tick labels by setting frame1.axes.autoScaleLocator.set_axis_info('empty').
2. Hiding the Offending Value:
If you wish to retain the tick labels but hide the adjusted value, loop through the tick labels and manually set the offending text's visibility to False.
3. Improving Efficiency for Multiple Subplots:
When dealing with multiple subplots, a more efficient approach is to use the ax.axes.xaxis.set_visible(False) and ax.axes.yaxis.set_visible(False) methods to hide the entire axis, rather than iterating through each element.
Alternatively, consider setting the ticks to an empty list using ax.axes.xaxis.set_ticks([]) and ax.axes.yaxis.set_ticks([]). This method allows you to still add custom labels using plt.xlabel() and plt.ylabel().
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