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.
matplotlib.ticker.MultipleLocator
The matplotlib.ticker.MultipleLocator class is used for setting a tick for every integer multiple of a base within the view interval.
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) ax.xaxis.set_major_locator(ticker.MultipleLocator(tick_spacing)) plt.show() |
Output:
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('.') ax.xaxis.set_major_locator(matplotlib.ticker.MultipleLocator(0.25)) ax.xaxis.set_major_formatter(matplotlib.ticker.FuncFormatter(func)) plt.show() |
Output:
