To turn off the ticks and marks of a matplotlib axes, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create x and y data points using numpy.
- Plot x and y data points using plot() method.
- Get the current axis of the plot.
- Use set_tick_params() to hide X and Y axes label marks.
- Use set_xticks() and set_yticks() to hide X and Y axes tick marks.
- To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Create x and y data points x = np.linspace(-10, 10, 100) y = np.sin(x) plt.plot(x, y) ax = plt.gca() # Hide X and Y axes label marks ax.xaxis.set_tick_params(labelbottom=False) ax.yaxis.set_tick_params(labelleft=False) # Hide X and Y axes tick marks ax.set_xticks([]) ax.set_yticks([]) plt.show()
Output
It will produce the following output