Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to disable the minor ticks of a log-plot in Matplotlib?
To disable the minor ticks of a log plot in matplotlib, we can use minorticks_off() method.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create x and y data points using numpy.
- Add a subplot to the current figure, at index 1.
- Plot x and y data points with color=red.
- Make x-scale as log class by name.
- Set the title of the current plot.
- Add a subplot to the current figure, at index 2.
- Plot x and y data points with color=green.
- Make x-scale as log class by name.
- Turn off the minor ticks of the plot.
- Set the title of the plot as index 2.
- To display the figure, use show() method.
Example
import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
x = np.random.randint(-3, 3, 10)
y = np.exp(x)
plt.subplot(121)
plt.plot(y, x, c='red')
plt.xscale('log')
plt.title("With minor ticks")
plt.subplot(122)
plt.plot(y, x, c='green')
plt.xscale('log')
plt.minorticks_off()
plt.title("Without minor ticks")
plt.show()Output
Updated on: 01-Jun-2021
3K+ Views
Advertisements