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 , 15 x = 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: