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
Show decimal places and scientific notation on the axis of a Matplotlib plot
To show decimal places and scientific notation on the axis of a matplotlib, we can use scalar formatter by overriding _set_format() method.
Steps
Create x and y data points using numpy.
Plot x and y using plot() method.
Using gca() method, get the current axis.
Instantiate the format tick values as a number class, i.e., ScalarFormatter.
Set size thresholds for scientific notation, using set_powerlimits((0, 0)) method.
Using set_major_formatter() method, set the formatter of the major ticker.
To display the figure, use show() method.
Example
import numpy as np from matplotlib.ticker import ScalarFormatter from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True class ScalarFormatterClass(ScalarFormatter): def _set_format(self): self.format = "%1.2f" x = np.linspace(1, 10) y = np.linspace(2,10) y = x * y plt.plot(x, y) ax = plt.gca() yScalarFormatter = ScalarFormatterClass(useMathText=True) yScalarFormatter.set_powerlimits((0,0)) ax.yaxis.set_major_formatter(yScalarFormatter) plt.show()
Output
Updated on: 08-May-2021
5K+ Views
Advertisements