Matplotlib.axes.Axes.minorticks_off() in Python
Last Updated :
21 Apr, 2020
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:
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()
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Output:
Example 2:
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()
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Output:
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