Plants For A Future (PFAF) Data

Plant data scraped from the PFAF website.

The data and images are subject to the copyright laid out in the PFAF website.

Files

• main.py: The main script to scrape all the data. Run with python main.py.
• data.sqlite: All the data about the plants.
• images/: All the plant images, downloadd. The sources are located in the plant_images table in the DB.

Datasette

We use Datasette to create a website to display the data. To start it locally run:

$ datasette data.sqlite -m metadata.json

You can also browse the dataset entirely in your browser using Datasette Lite

Development

This project currently has support for setting up a local development environment using Conda. See the Conda install docs for how to install Conda.

It also uses Conda Lock to create a locked down version of the dependencies for reproducibility.

You are also welcome to use any other way you prefer for developing Python packages.

# To get get started:
$ conda create --name pfaf-data --file conda-[osx/linux/win]-64.lock
$ conda activate

# To regenerate the lockfiles:
$ conda-lock  --kind explicit