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 rotate a simple matplotlib Axes?
To rotate a simple matplotlib axes, we can take the following steps −
- Import the required packages −
import matplotlib.pyplot as plt from matplotlib.transforms import Affine2D import mpl_toolkits.axisartist.floating_axes as floating_axes
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure.
- Make a tuple of axes extremes.
- Add a mutable 2D affine transformation, "t". Add a rotation (in degrees) to this transform in place.
- Add a transform from the source (curved) coordinate to target (rectilinear) coordinate.
- Add a floating axes "h" with the current figure with GridHelperCurveLinear() instance.
- Add an 'ax' to the figure as part of a subplot arrangement.
- To display the figure, use show() method.
Example
# import the packages import matplotlib.pyplot as plt from matplotlib.transforms import Affine2D import mpl_toolkits.axisartist.floating_axes as floating_axes # set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # plot the figure fig = plt.figure() scales = (0, 5, 0, 5) # Add 2D affine transformation t = Affine2D().rotate_deg(25) # Add floating axes h = floating_axes.GridHelperCurveLinear(t, scales) ax = floating_axes.FloatingSubplot(fig, 111, grid_helper=h) fig.add_subplot(ax) plt.show()
Output
It will produce the following output −
Updated on: 20-Sep-2021
8K+ Views
Advertisements