Removing the axes spine can improve readability. Especially when you want to include such graph in a presentation.
Matplotlib will provide you with a .set_visible() method to apply on the spines attribute of an ax object.
You can apply the method .set_visible(False) to any spines of the ax you want and it will hide it.
Here is the code
# We import our libraries import matplotlib.pyplot as plt import numpy as np # Generate our sample dataset x = np.linspace(1,100) y = x ** 2 # We create a canvas with one ax fig, axes = plt.subplots(1, 1, figsize=(8,4)) # We plot on our first axis axes.plot(x, y, alpha=0.6, c='tab:blue') # Set a title axes.set_title("Hidden axis spines") # Hide the right and top spines axes.spines['right'].set_visible(False) axes.spines['top'].set_visible(False) # We tight the layout fig.tight_layout() # We plot plt.show()
Here is the result
Here you are! You now know how to hide the axes spines of a plot with Matplotlib using Python.
More on Matplotlib
If you like what you've just read and want to know more about the Matplotlib library (e.g. how to add labels, plot different types of plots, etc...) check out the other articles I wrote on the topic, just here :