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One way to do this is to set the tick labels to an empty string using the set_ticklabels() method and then set the axis label using the set_label() method.

Here's an example:

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
x = np.arange(0, 10, 0.1)
y = np.sin(x)

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

# Hide tick labels but retain the axis label
ax.set_xticklabels(['']*len(ax.get_xticks()))  # hide x-axis tick labels
ax.set_yticklabels(['']*len(ax.get_yticks()))  # hide y-axis tick labels
ax.set_xlabel('x-axis label')
ax.set_ylabel('y-axis label')

# Show the plot
plt.show()

This code will show the plot with axis labels but without tick labels. The set_xticklabels() and set_yticklabels() methods set the tick labels to an empty string using a list with the same length as the number of ticks.