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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-

- Histogram
- Pie plot
- Area plot
- Bar graph
- Scatter plot

**5. From where can I learn more about Matplotlib?**

Edureify has the best coding courses that provide all the information on Matplotlib.