https://github.com/csinva/data-viz-utils

Functions for easily making publication-quality figures with matplotlib.
https://github.com/csinva/data-viz-utils

big-data data-analysis data-science data-visualization eda legend matplotlib python python3 scatterplot time-series

Last synced: 14 days ago
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Functions for easily making publication-quality figures with matplotlib.

• Host: GitHub
• URL: https://github.com/csinva/data-viz-utils
• Owner: csinva
• License: mit
• Created: 2020-01-04T13:16:43.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-01-20T01:23:55.000Z (10 months ago)
• Last Synced: 2024-10-04T13:32:36.017Z (about 1 month ago)
• Topics: big-data, data-analysis, data-science, data-visualization, eda, legend, matplotlib, python, python3, scatterplot, time-series
• Language: Jupyter Notebook
• Homepage: https://csinva.io/data-viz-utils/
• Size: 9.88 MB
• Stars: 18
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

        
 Data-viz utils 📈

 Functions for data visualization in matplotlib





  

  

  

  

  

 📚 API 



Can be installed using `pip install dvu` and then imported with `import dvu`. 

You can also just copy the relatively short source code for the functions (easily viewable [here](https://csinva.io/data-viz-utils/docs/dvu.html)). 

Helps create a bunch of different plots such as these:

![](https://csinva.io/data-viz-utils/img/plots_screenshot.png)

One particularly useful function is `dvu.line_legend()` which replaces a typical matplotlib legend with labels for each line:

| Using `plt.legend()`                                | Using `dvu.line_legend()`                      |

| --------------------------------------------------- | ---------------------------------------------- |

| ![plt_legend](docs/img/plot_labeled_lines_orig.png) | ![dvu_legend](docs/img/plot_labeled_lines.png) |

Another one is `dvu.invert_plot()` which can be called after generating a plot to invert everything besides the line colors

| Original plot                                  | After `dvu.invert_plot()`                           |

| ---------------------------------------------- | --------------------------------------------------- |

| ![plt_legend](docs/img/plot_labeled_lines.png) | ![dvu_legend](docs/img/plot_labeled_lines_dark.png) |

# Reference

- for updates, star the repo or follow [@csinva_](https://twitter.com/csinva_)

- super-related and wonderful [matplotlib-label-lines](https://github.com/cphyc/matplotlib-label-lines) project

- [PR](https://t.co/lTe19vdETE?amp=1) for implementing line-labeling into matplotlib

- feel free to use openly!

- built with jekyll + github pages

- theme from [here](https://github.com/inded/Jekyll_modern-blog)

    - based off of this [article from Codrops](http://tympanus.net/codrops/?p=24222)