How to Hide Axis Text in Matplotlib Plots When Matplotlib Adjusts Labels?

Hiding Axis Text in Matplotlib Plots

When creating plots using Matplotlib, you may encounter situations where you want to hide the tick marks and labels on the axes. However, you've noticed an issue where Matplotlib adjusts the axis labels by subtracting a value (N) and then adding it again at the end. This can lead to an additional undesirable number appearing on the axis.

To address this issue, you have a few options:

1. Disable the Adjustment Behavior:

   Unfortunately, there is no direct way to disable the adjustment behavior in Matplotlib.

2. Make N Disappear:

   You can attempt to make the offending value N disappear by setting the label visibility to False. However, this may not always work effectively.

3. Hide the Entire Axis:

   Instead of hiding individual elements, you can hide the entire axis using the following commands:

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

4. Set Ticks to an Empty List:

   Another option is to set the ticks to an empty list:

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

   This allows you to still use plt.xlabel() and plt.ylabel() to add custom labels to the axes.

For the specific case of a 4x4 subplot figure, using the set_visible(False) or set_ticks([]) methods on all the subplots is a suitable approach.

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