Metadata-Version: 2.4
Name: afcharts
Version: 1.0.0b0
Summary: A python package to produce charts following UK Government Analysis Function guidance
Author: Crown Copyright
Maintainer-email: Nick Henden <Nick.Henden@ukhsa.gov.uk>, Tom Farley <tom.farley@ukhsa.gov.uk>, Stelios Georgiou <Stelios.Georgiou@ukhsa.gov.uk>, Frederico Rodrigues <fred.rodrigues@defra.gov.uk>, Peter Brohan <peter.brohan@communities.gov.uk>, Fahim Hossain <fahim.hossain@ukhsa.gov.uk>
Project-URL: Homepage, https://github.com/best-practice-and-impact/afcharts-py
Project-URL: Documentation, https://best-practice-and-impact.github.io/afcharts-py/
Project-URL: Source, https://github.com/best-practice-and-impact/afcharts-py
Project-URL: Issue Tracker, https://github.com/best-practice-and-impact/afcharts-py/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: matplotlib>=3.10.3
Requires-Dist: plotly>=6.1.2
Requires-Dist: typeguard>=4.4.4
Requires-Dist: PyYAML>=5.0
Dynamic: license-file

# afcharts-py afcharts logo

## Overview

The afcharts python package helps make accessible Matplotlib and Plotly charts following [Government Analysis Function Data Visualisation guidance](https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-charts/):

- **Automatic chart formatting** with pre-built style sheets for Matplotlib and Plotly
- **Chart colours** from the Analysis Function [accessible colour palettes](https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-colours-in-charts/#section-4)
- **Example code** for common chart types in the [cookbook](https://best-practice-and-impact.github.io/afcharts-py/)

Looking for the R version? Check out the [afcharts R package](https://best-practice-and-impact.github.io/afcharts/).

A grouped bar chart in afcharts style showing life expectancy in 1967 and 2007 for four countries. Bars use Analysis Function palette: dark blue for 1967, orange for 2007. A scatterplot in afcharts style showing life expectancy against GDP per capita for 142 countries in 2007. A line chart in afcharts style showing life expectancy in China and the UK from 1952 to 2007

## Installation

afcharts is available at the Python Package Index (PyPI):
```bash
pip install afcharts
```
or see the [alternative installation](https://best-practice-and-impact.github.io/afcharts-py/getting-started.html) instructions.

## Usage

Format any Matplotlib or Plotly chart in the Analysis Function style using the built-in style sheets.

See the [Getting Started](https://best-practice-and-impact.github.io/afcharts-py/getting-started.html) guide for more options and the [cookbook](https://best-practice-and-impact.github.io/afcharts-py/) for extensive examples.

### Matplotlib

```python
import matplotlib.pyplot as plt

# Apply the afcharts style to all Matplotlib plots
plt.style.use('afcharts.afcharts')
```

Example: A [Matplotlib bar chart](https://best-practice-and-impact.github.io/afcharts-py/01-matplotlib-usage.html#grouped-bar-chart) with afcharts (left) and without (right)

Grouped bar chart (afcharts style) showing life expectancy in 1967 and 2007 for four countries. Bars use Analysis Function palette: dark blue for 1967, orange for 2007. Grouped bar chart (default Matplotlib) showing life expectancy in 1967 and 2007 for four countries. Bars: blue for 1967, orange for 2007.

### Plotly

```python
from afcharts.pio_template import pio

# Apply the afcharts style to all Plotly plots
pio.templates.default = "afcharts"
```

Example: A [Plotly bar chart](https://best-practice-and-impact.github.io/afcharts-py/03-plotly-usage.html#grouped-bar-chart) with afcharts (left) and without (right)

Grouped bar chart (afcharts style) showing life expectancy in 1967 and 2007 for four countries. Bars use Analysis Function palette: dark blue for 1967, orange for 2007. Grouped bar chart (default Plotly) showing life expectancy in 1967 and 2007 for four countries. Bars: blue for 1967, red for 2007.

### Colours

Easily return a list of colours from any of the Analysis Function [accessible colour palettes](https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-colours-in-charts/#section-4) with the `get_af_colours()` function:

```python
from afcharts.af_colours import get_af_colours

# Get the duo colour palette hex codes
duo = get_af_colours("duo")
```

## Getting help
If you encounter a bug, please file a minimal reproducible example on [Github Issues](https://github.com/best-practice-and-impact/afcharts-py/issues). For questions and other discussion, please start a [discussion](https://github.com/best-practice-and-impact/afcharts-py/discussions).

## Contributing
Interested in contributing? Check out the [contributing guidelines](CONTRIBUTING.md). 

## Acknowledgments
The afcharts python package is based on the
[afcharts](https://github.com/best-practice-and-impact/afcharts.git) R package and the [py-af-colours](https://github.com/best-practice-and-impact/py-af-colours) package.

## License
Unless stated otherwise, the codebase is released under [the MIT License](LICENSE.md). This covers both the codebase and any sample code in the documentation.

The documentation is [© Crown copyright](https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/) and available under the terms of the [Open Government 3.0](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) licence.
