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https://github.com/julioaranajr/using_matplotlib
Matplotlib is a comprehensive 2D plotting library for the Python programming language.
https://github.com/julioaranajr/using_matplotlib
data-science matplotlib numpy-library pillow-library python python3 scipy-library tkinter
Last synced: about 1 month ago
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Matplotlib is a comprehensive 2D plotting library for the Python programming language.
- Host: GitHub
- URL: https://github.com/julioaranajr/using_matplotlib
- Owner: julioaranajr
- License: mit
- Created: 2024-07-17T09:35:42.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-17T20:39:13.000Z (7 months ago)
- Last Synced: 2024-11-11T08:50:00.164Z (3 months ago)
- Topics: data-science, matplotlib, numpy-library, pillow-library, python, python3, scipy-library, tkinter
- Language: Python
- Homepage:
- Size: 155 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# What is Matplotlib?
- Matplotlib is a comprehensive 2D plotting library for the Python programming language.
- It is widely used for creating static, animated and interactive visualizations in Python.
- Matplotlib was developed by John D. Hunter and is now maintained by a huge team of developers.
- It is open-source and freely available for use under the BSD license.
## To install matplotlib type the following command in the terminal
```bash
pip install matplotlib
```
## to Check the version of Matplotlib:
```python
print('Matplotlib version:', matplotlib.__version__)
```
## Matplotlib Backends
Matplotlib can use different backends for rendering plots.
The default might not be the best for your needs.
To check the current backend, use the following code:
```python
print('Matplotlib backend:', matplotlib.get_backend())
```
## Check the backend of Matplotlib
to check the current backend, use the following code:
```python
print('Matplotlib backend:', matplotlib.get_backend())
```
## To set a different backend
You can set a different backend using the following code:
```python
import matplotlib matplotlib.use('TkAgg') # Example for TkAgg backend
```
### Common backends include
The most common backends include:
- TkAgg (default for Python’s Tkinter)
- Qt5Agg (for Qt5)
- Agg (for PNG and other file formats, no interactive window)
## Set a different backend
You can set a different backend using the following code:
```python
matplotlib.use('TkAgg') # Example for TkAgg backend
```
## Check the new backend of Matplotlib
to check the new backend, use the following code:
```python
print('Matplotlib backend:', matplotlib.get_backend())
```
## The Matplotlib Interface
Matplotlib has two interfaces:
- MATLAB-style interface (stateful)
- Object-oriented interface (stateless)
> The object-oriented interface is recommended for more control and customization.
## Import the pyplot module
The most common way to use Matplotlib is through the pyplot module.
You can import it using the following code:
```python
import matplotlib.pyplot as plt
# Create a simple plot
plt.plot([1, 2, 3, 4, 5], [1, 4, 9, 16, 25])
plt.show()
# Create a scatter plot
plt.scatter([1, 2, 3, 4, 5], [1, 4, 9, 16, 25])
plt.show()
# Create a bar plot
plt.bar([1, 2, 3, 4, 5], [1, 4, 9, 16, 25])
plt.show()
# Create a histogram
plt.hist([1, 2, 3, 4, 5])
plt.show()
# Create a pie chart
plt.pie([1, 2, 3, 4, 5])
plt.show()
# Create a box plot
plt.boxplot([1, 2, 3, 4, 5])
plt.show()
# Create a violin plot
plt.violinplot([1, 2, 3, 4, 5])
plt.show()
# Create a heatmap
plt.imshow([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
plt.colorbar()
plt.show()
```
## Additional dependencies
Matplotlib can be used with other libraries like NumPy, SciPy, and Pillow to enhance its capabilities.
### NumPy
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
### SciPy
SciPy is a free and open-source library for the Python programming language that adds support for scientific and technical computing. It builds on the capabilities of NumPy and provides a large number of higher-level functions that operate on NumPy arrays and are useful for different types of scientific and engineering applications.
### Pillow (PIL)
Pillow is a free and open-source library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is a fork of the Python Imaging Library (PIL) and provides a more up-to-date and actively maintained version of the library.
## Conclusion
Matplotlib is a powerful library for creating visualizations in Python. It is widely used for creating static, animated, and interactive plots. It has a MATLAB-style interface and an object-oriented interface. It can be used with other libraries like NumPy, SciPy, and Pillow to enhance its capabilities.
# References
- [Matplotlib Documentation](https://matplotlib.org/stable/contents.html)
- [DevOpsSchool](https://www.devopsschool.com/blog/what-is-matplotlib-and-use-cases-of-matplotlib/#:~:text=Matplotlib%20is%20a%20comprehensive%202D,a%20huge%20team%20of%20developers.)