Change Tick Frequency in Matplotlib
Introduction
Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib’s popularity comes from its customization options – you can tweak just about any element from its hierarchy of objects.
In this tutorial, we’ll take a look at how to change the tick frequency in Matplotlib. We’ll do this on the figure-level as well as the axis-level.
How to Change Tick Frequency in Matplotlib?
Let’s start off with a simple plot. We’ll plot two lines, with random values:
import matplotlib.pyplot as plt
import numpy as np
fig = plt.subplots(figsize=(12, 6))
x = np.random.randint(low=0, high=50, size=100)
y = np.random.randint(low=0, high=50, size=100)
plt.plot(x, color='blue')
plt.plot(y, color='black')
plt.show()
x and y range from 0-50, and the length of these arrays is 100. This means, we’ll have 100 datapoints for each of them. Then, we just plot this data onto the Axes object