Metadata-Version: 2.1
Name: florana
Version: 1.1.7
Summary: Extract data from Flora of North America
Home-page: https://github.com/josiest/Flora-Data-Extraction/
Author: Josie Thompson
Author-email: josiest@uw.edu
License: MIT
Description: # Flora Data Extraction Project
        
        This script is designed to extract data from pdf files of genera from the book *Flora of North America*. It creates csv files whose names match the PDF files given to the script as arguments. The csv files have the format
        
        > "Species name", "Location where the species appears"
        
        and
        
        > "Species name", "Classifiers (if any)"
        
        The easiest way to run the script is to move to a folder where the only pdf files are genera files from *Flora of North America* and enter:
        
            python -m florana.extract -A -o data.csv
        
        The script will then run on every pdf file in the directory and create a file called 'data.csv' of all the locations it can find, as well as a file 'data-classifiers.csv'. If the script couldn't find locations for some species, detailed information will be included in 'error.log'.
        
        #### Note: python 2
        > If you also have python 2 installed on your system, you will probably need to run `python3` instead of `python`
        
        ### Installing
        
            python -m pip install florana
        
        #### Note: Windows Users
        > If you're running Windows, you'll likely need to install [poppler](https://blog.alivate.com.au/poppler-windows/). You'll need to extract the latest binary from the link provided and add its bin folder to your PATH environment variable. *i.e.* If `C:\path\to\poppler` is the directory where you extracted poppler, then you'll need to add `C:\path\to\poppler\bin` to your PATH environment variable.
        
        ### Dependencies
        
        - python > 3  
        - [textract](https://textract.readthedocs.io/en/stable/)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3
Description-Content-Type: text/markdown
