Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.minorticks_off() Function
The Axes.minorticks_off() function in axes module of matplotlib library is used to remove minor ticks on the axes.
Syntax:
Axes.minorticks_off(self)
Note: This function will show any change or effect if it is used after use of minorticks_on() function.
Below examples illustrate the matplotlib.axes.Axes.minorticks_off() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt fig, ax1 = plt.subplots() ax1.minorticks_on() np.random.seed(19680801) mu, sigma = 100, 15x = mu + sigma * np.random.randn(10000) ax1.hist(x, 50, density = True, facecolor ='g', alpha = 0.65) ax1.set_xlim(40, 160) ax1.set_ylim(0, 0.03) plt.grid(True) ax1.minorticks_off() fig.suptitle('matplotlib.axes.Axes.minorticks_off()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np x = np.arange(0.0, 2, 0.01) y1 = np.sin(2 * np.pi * x) y2 = 1.2 * np.sin(4 * np.pi * x) fig, (ax, ax1) = plt.subplots(1, 2) ax.minorticks_on() ax1.minorticks_on() ax.fill_between(x, y1, y2, color ="green", alpha = 0.6) ax.set_title("Without minorticks_off()") ax1.fill_between(x, y1, y2, color ="green", alpha = 0.6) ax1.set_title("With minorticks_off()") ax1.minorticks_off() fig.suptitle('matplotlib.axes.Axes.minorticks_off() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
