Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Matplotlib.ticker.MultipleLocator Class in Python

  • Last Updated : 21 Apr, 2020

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.


The matplotlib.ticker.MultipleLocator class is used for setting a tick for every integer multiple of a base within the view interval.

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

Syntax: class matplotlib.ticker.MultipleLocator(base=1.0)

Methods of the class:

  • set_params(self, base): It is used for setting the parameters within the locator.
  • tick_values(self, vmin, vmax): For a given vmin and vmax it returns the values of the located ticks.
  • view_limits(self, dmin, dmax): It is used for setting the view limits to the nearest multiples of base that contain the data.

Example 1:

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
x = [0, 5, 9, 10, 15]
y = [0, 1, 2, 3, 4]
tick_spacing = 1
fig, ax = plt.subplots(1, 1)
ax.plot(x, y)


Example 2:

import matplotlib.pyplot as plt
import matplotlib.ticker
plt.plot([-1.5, 0, 1.5], [1, 3, 2])
ax = plt.gca()
func = lambda x, pos: str(x).rstrip('0').rstrip('.')


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!