https://github.com/oluwoleilesanmi/pluto

visualization library built ontop of matplotlib & seaborn
https://github.com/oluwoleilesanmi/pluto

matplotlib oop python seaborn

Last synced: 3 months ago
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visualization library built ontop of matplotlib & seaborn

• Host: GitHub
• URL: https://github.com/oluwoleilesanmi/pluto
• Owner: oluwoleilesanmi
• License: mit
• Created: 2023-07-31T22:49:20.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-12-14T16:51:07.000Z (over 2 years ago)
• Last Synced: 2026-01-03T04:26:47.985Z (6 months ago)
• Topics: matplotlib, oop, python, seaborn
• Language: Python
• Homepage:
• Size: 14.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          


    


        Pluto

    

    Visualization library for easier plotting built on top of Seaborn and Matplotlib.



![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)



If you like the repo, please feel free to give it a :star:  (top right). Cheers!


For more information about the author, see below links to get in touch:

[![Email Badge](https://img.shields.io/badge/-Gmail-D14836?style=flat&logo=gmail&logoColor=white)](mailto:oluwoleilesanmi@gmail.com)

[![LinkedIn Badge](https://img.shields.io/badge/LinkedIn-0077B5?style=flat&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/oluwoleilesanmi)

[![GitHub Badge](https://img.shields.io/badge/GitHub-100000?style=flat&logo=github&logoColor=white)](https://github.com/oluwoleilesanmi)



![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

#### How to run

```

$ pip install pluto

```

```

# create custom bar_plot

bar_plot = Barplot()

# configuring custom bar_plot

bar_plot.shape(dim=(10, 5))

    .create('x_col', 'y_col', table, hue='z_col', c=None)

    .grid()

    .spine()

    .tick(left=True, labelleft=True, bottom=True, labelbottom=True)

    .label('x axis', 'y axis', 'title')

    .render()

```

#### Illustrations

- *TBI*