Introduction to Python Matplotlib

In This Article, You Will know About Python Matplotlib.

Python Matplotlib – Before moving ahead, let’s take a look at Python Numpy Tutorial

Table of Contents

Matplotlib: Getting started with Matplotlib

Matplotlib: It is an open-source free library used for plotting graphs or visualize graphs in Python. It works with Numpy as it is its numerical mathematics extension.

Matplotlib Codebase?

Get the source code of Matplotlib at this github repository https://github.com/matplotlib/matplotlib

Why Matplotlib is used in Python?

Matplotlib is an application for plotting in Python. It is a plotting library for the Python programming language and its numerical math extension NumPy. It has an object-oriented API to embed plots into general-purpose GUI tools like Tkinter, wxPython, Qt or GTK. Developers can also utilize Matplotlib’s APIs (Application programming interfaces) for embedding plots within GUI applications.

What can you do with Matplolib?

Matplotlib is a two-dimensional plotting library. Matplotlib can support a variety of graphs and representations such as Bar Graphs, Histograms, Line graphs, Scatter plots, Stem Plots, etc. Matplotlib is available in various ways, such as Python scripts, Python or iPython shells and Jupyter Notebooks.

Which Language is Matplotlib Written in?

The Matplolib plotting library is written in Python programming language.

For more details: matplotlib.org

Install Matplotlib

If you have Python and PIP installed in your current text editor or IDEs, then follow the code given below.

Install using this code:

				
					pip install matplotlib
				
			

If this command doesn’t work, try a python distribution with Matplotlib installed, for example, Anaconda, Spyder, etc.

Import Matplotlib

After installing Matplotlib, then you can use it within your applications by including to the import module statement.

				
					import matplotlib
				
			

Now, let’s get started with Matplotlib.

Check Matplotlib Version

The version of Matplotlib is stored under __version__ attribute.

Example: Checking Matplotlib version.

				
					import matplotlib

print(matplotlib.__version__)

				
			

Note: Must use two underscore (__) with version.

If you find anything incorrect in the above-discussed topic and have any further questions, please comment below.

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