How to Remove or Disable Axis Annotations in Matplotlib?

Hiding Axis Annotations in Matplotlib

In matplotlib, it is possible to create plots without any visible tick marks, numbers, or labels on the axes. However, you may encounter an issue where matplotlib adjusts the tick values by subtracting a value 'N' and adding it back at the end of the axis, resulting in an unwanted number displayed.

To disable this behavior altogether:

<code class="python">frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)</code>

To remove the value 'N':

<code class="python">frame1.axes.get_xaxis().set_ticks([])
frame1.axes.get_yaxis().set_ticks([])</code>

This second option allows you to set axis labels independently using plt.xlabel() and plt.ylabel().

In the provided example, the following updates would remove all axis annotations:

<code class="python">for tick in frame1.axes.get_xticklines():
    tick.set_visible(False)
for tick in frame1.axes.get_yticklines():
    tick.set_visible(False)  # Removed these lines for a cleaner implementation

frame1.axes.get_xaxis().set_ticks([])  # Disable tick values
frame1.axes.get_yaxis().set_ticks([])

frame1.axes.get_xaxis().set_visible(False)  # Hide x-axis
frame1.axes.get_yaxis().set_visible(False)  # Hide y-axis</code>

For subplots, you can apply the same techniques to each subplot individually.

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