Hits: 380
How to check installed version of Matplotlib
Matplotlib is a powerful library for creating visualizations in Python. It’s common to check the version of Matplotlib that’s currently installed to ensure compatibility with other packages or to make sure you have the latest features.
One way to check the version of Matplotlib that’s installed is by using the command line. Open up the command prompt or terminal and type “pip show matplotlib” (without quotes). This will show you the details of the package including the version number.
Another way to check the version of Matplotlib is by using Python code. Import matplotlib library and use the function matplotlib.version. This will print the version of matplotlib that is currently installed.
It’s also possible to check the version of Matplotlib by opening the Python environment and typing import matplotlib; matplotlib.version.
In summary, there are several ways to check the version of Matplotlib that’s installed on your system. One way is to use the command line by typing “pip show matplotlib” in the terminal or command prompt. Another way is by using Python code by importing matplotlib library and using the function matplotlib.version. Lastly, you can check the version by opening the Python environment and typing import matplotlib; matplotlib.version.
In this Applied Machine Learning Recipe, the reader will learn: How to check installed version of Matplotlib.
How to check installed version of Matplotlib
Free Machine Learning & Data Science Coding Tutorials in Python & R for Beginners. Subscribe @ Western Australian Center for Applied Machine Learning & Data Science.
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding