Matplotlib: A Framework for Graph Plotting in Python

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Python is one of the most useful programming languages. Edureify, the best AI Learning App provides the best online coding courses that teach students everything related to Python, its tools, and frameworks.

In this article, Edureify will provide information on Matplotlib in Python, an important Python library used for the 2D plotting of arrays. Read on to know more.

What is Matplotlib in Python?

Matplotlib is an extension of NumPy. It is a library of Python that helps in data visualization and graph plotting. Matplotlib can support dynamic graphs and plots. It is an effective alternative for MatLab that is open source and works with NumPy.

Pyplot of Matplotlib

Matplotlib has a module named Pyplot that has features that enable plotting to be easy. Pyplot has features like front properties, controlling line styles, formatting axes, and more.

Use of Matplotlib

The primary use of Matplotlib is plotting graphs in Python. Matplotlib is a Python library that integrates object-oriented APIs for plotting in applications.

How to install Matplotlib?

Matplotlib is not in-built in Python. One needs to install it in their Python environment to use it efficiently.

Following are the steps to install Matplotlib using Anaconda Distribution of Python-

Visit the official website of Anaconda and click on the download button
Choose your version of the application based on your browser- Microsoft, IOS, or Linux

One can also download Matplotlib using the conda prompt. One can open the conda prompt and type the following-

conda install matplotlib

One can further use the pip command to install this library. After opening the command prompt type the following-

pip install matplotlib

Finally, to ensure that Matplotlib is successfully installed, type the following-

import matplotlib
matplotlib._version_
‘3.1.1’

Types of graphs of Matplotlib

Matplotlib can create various plots. They are-

Histogram
Pie plot
Area plot
Bar graph
Scatter plot

Examples of basic plots using Matplotlib

Example of Line Plot-

# importing matplotlib module

from matplotlib import pyplot as plt
# x-axis values
x = [5, 2, 9, 4, 7]
# Y-axis values
y = [10, 5, 8, 4, 2]
# Function to plot
plt.plot(x,y)
# function to show the plot
plt.show()

Output:

Example of Bar Plot:

# importing matplotlib module

from matplotlib import pyplot as plt
# x-axis values
x = [5, 2, 9, 4, 7]
# Y-axis values
y = [10, 5, 8, 4, 2]
# Function to plot the bar
plt.bar(x,y)
# function to show the plot
plt.show()

Output:

Example of Histogram:

# importing matplotlib module
from matplotlib import pyplot as plt
# Y-axis values
y = [10, 5, 8, 4, 2]
# Function to plot histogram
plt.hist(y)
# Function to show the plot
plt.show()

Output:

Example of Scatter Plot:

# importing matplotlib module
from matplotlib import pyplot as plt
# x-axis values
x = [5, 2, 9, 4, 7]
# Y-axis values
y = [10, 5, 8, 4, 2]
# Function to plot scatter
plt.scatter(x, y)
# function to show the plot
plt.show()

Output:

So here were the examples of Matplotlib.

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Some FAQs on Matplotlib-

1. What is Matplotlib?

Matplotlib is a library of Python that helps in data visualization and graph plotting. Matplotlib can support dynamic graphs and plots. It is an effective alternative for MatLab that is open source and works with NumPy.

2. Is Matplotlib an extension of NumPy?

Yes, Matplotlib is an extension of NumPy.

3. What is Pyplot?

Matplotlib has a module named Pyplot that has features that enable plotting to be easy. Pyplot has features like front properties, controlling line styles, formatting axes, and more.

4. What are the types of graphs Matplotlib can make?

The following are the different types of graphs Matplotlib can make-