# df2img: Save a Pandas DataFrame as image
![img](https://img.shields.io/pypi/v/df2img) ![img](https://img.shields.io/pypi/pyversions/df2img) ![img](https://img.shields.io/github/license/andreas-vester/df2img) ![img](https://img.shields.io/github/issues/andreas-vester/df2img) ![img](https://img.shields.io/github/stars/andreas-vester/df2img)
## What is it all about?
Have you ever tried to save a pd.DataFrame
into an image file? This is not a straightforward process at all. Unfortunately, pandas
itself doesn’t provide this functionality out of the box.
df2img (dataframe-to-image) tries to fill the gap. It is a Python library that greatly simplifies the process of saving a pd.DataFrame
into an image file (e.g. png
or jpg
).
It is a wrapper/convenience function in order to create a plotly
Table. That is, one can use plotly
’s styling function to format the table.
## Dependencies
df2img has a limited number of dependencies, namely
pandas
plotly
kaleido
## Contents
[Installation](installation.md)
[Getting started](getting_started.ipynb)
[Controlling the index column](control_index.ipynb)
[Formatting](formatting.ipynb)
[API Reference](api_reference.md)
[Contributing](contributing.md)
[Code of conduct](code_of_conduct.md)
[Changelog](changelog.md)
## Contributing to df2img
If you consider to contribute to df2img, please read the [Contributing to df2img](./contributing.md) section in the documentation. This document is supposed to guide you through the whole process.