How to avoid overlapping axis labels?
Description:
In data visualisation, clarity is just as important as the data itself. One of the most common issues when plotting large datasets or detailed categorical labels is that the axis labels, especially on the x-axis — start to overlap, making the chart unreadable and unprofessional. This often happens when the labels are long (like full dates or product names) or when there are too many of them squeezed into a limited space. A clean, legible plot is a mark of quality — and avoiding clutter is an essential skill.
Code Explanation:
● plt.subplots(): Creates the figure and axes objects.
● ax.plot(...): Plots sample data with labelled x-ticks.
● ax.set_xticks() and ax.set_xticklabels(): Customizes tick positions and labels.
● rotation=45: Rotates x-axis labels 45 degrees to avoid overlapping.
● plt.tight_layout(): Automatically adjusts padding and spacing to prevent clipping and overlaps.
● plt.show(): Displays the final, clean plot.
Program:
import matplotlib.pyplot as plt
x = range(10)
y = range(10)
plt.plot(x, y)
plt.xticks(rotation=45)
plt.title("Avoid Overlapping Labels")
plt.tight_layout()
plt.show()
Output:
