In Matplotlib, ticks and tick labels are typically linked—hiding a tick usually hides its label as well. However, if you want to hide a specific tick line (the small mark on the axis) while keeping its label visible, you can achieve this by manually setting the tick properties.

Here’s how you can do it:

Steps:

1. Get the current axis using plt.gca() or ax = plt.subplot().
2. Set the tick positions explicitly using ax.set_xticks() or ax.set_yticks().
3. Hide the tick lines by setting their length to 0 using ax.tick_params() or by modifying the tick properties directly.

Example:

Suppose you want to hide the tick at x=2 but keep its label:

import matplotlib.pyplot as plt

# Sample data
x = [1, 2, 3, 4]
y = [10, 20, 15, 25]

fig, ax = plt.subplots()
ax.plot(x, y)

# Set ticks explicitly
ax.set_xticks([1, 2, 3, 4])

# Hide the tick at x=2 but keep its label
for tick in ax.xaxis.get_major_ticks():
    if tick.get_loc() == 2:
        tick.tick1line.set_visible(False)  # Hide the tick line
        tick.tick2line.set_visible(False)  # Hide the tick line (for top axis if applicable)

plt.show()

Explanation:

• tick.tick1line.set_visible(False) hides the bottom tick line (for the x-axis).
• tick.tick2line.set_visible(False) hides the top tick line (if applicable).
• The label remains visible because we only modified the tick line properties.

Alternative Approach:

If you want to hide all ticks but keep all labels, you can use:

ax.tick_params(axis='x', length=0)  # Hide all x-axis ticks but keep labels

This will hide all tick lines while preserving the labels. If you only want to hide specific ticks, use the first method.