Metadata-Version: 2.1
Name: tidytuesday
Version: 0.0.7
Summary: Download #TidyTuesday data
Home-page: https://github.com/ilnaes/tidytuesdaypy
Author: Sean Li
Author-email: seanli646@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=0.24.0
Requires-Dist: PyGithub>=1.54

# tidytuesdayPy

Download TidyTuesday data.  Inspired by [tidytuesdayR](https://github.com/thebioengineer/tidytuesdayR).

## Usage

```python
from tidytuesday import TidyTuesday

tt = TidyTuesday("2021-04-06")
```

If you do not provide a date (*i.e.* just `TidyTuesday()`), then the latest TidyTuesday will be used.  Note that this will not be good for reproducability in the future!

You can then access each data set from the data field using the filename, dropping the extension.

```python
df = tt.data["forest"]
```

You can also access the readme.

```python
print(tt.readme)
```

## TODO

- Implement parsers for rds formats
- Documentation
