How Can I Improve X-Axis Label Readability in Matplotlib When Plotting Timestamped Data?

Enhancing X-Axis Label Visibility with Rotation

When visualizing timestamped data, it can be challenging to read overlapping labels on the x-axis as the number of samples increases. To address this issue, rotating the text on the x-axis can improve legibility. Let's explore how to achieve this using Matplotlib.

Implementation:

import matplotlib.pyplot as plt

# Load data from CSV file
values = open('stats.csv', 'r').readlines()
time = [datetime.datetime.fromtimestamp(float(i.split(',')[0].strip())) for i in values[1:]]
delay = [float(i.split(',')[1].strip()) for i in values[1:]]

plt.plot(time, delay)
plt.grid(b='on')

# Rotate x-axis labels
plt.xticks(rotation=90)

plt.savefig('test.png')

By adding the line plt.xticks(rotation=90), we rotate the x-axis tick labels 90 degrees clockwise. This effectively stacks the labels vertically, improving their readability even when they overlap.

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