wcpy 1.1

WordCount in Python with a lot more functionality

# wc.py

WordCount analysis of documents in Python.

## Overview

This script provides a set of tools to analyse the number of occurences of words across a single or multiple documents.

## Installationg

You can install it from pip by running the following:

` pip install wc.py `

This will install the script in your computer so you’ll be able to call it directly with wc.py.

## Usage

Some example usages include the following

#### Word occurences in documents in this folder recusively

` wc.py --paths ./ `

#### Word occurrences in this folder docs with limit of top 10

` wc.py --paths ./ --limit 10 `

#### Word occurences in specific file filtered on specific words

` wc.py --paths ./ tests/test_data/doc1.txt --filter-words tool awesome an `

#### Word occurences in folder with output truncated and only 2 columns

` wc.py --paths tests/test_data/ --truncate 100 --columns word count `

#### Saving output to file

` wc.py --paths ./ --filter-words tool awesome an --truncate 50 --output output.txt `

# Development

## Install VirtualEnv and Requirements

Python 3.X is used, and it’s strongly recommended to set up the project in a virtual environment:

` virtualenv --no-site-packages -p python3 venv `

Then install it using the setup.py command

` python setup.py install_data `

## NLTK

The previous command must have installed the NLTK dependencies, but if by any reason it’s not working for you, you can install it with the following:

` python -c "import nltk; nltk.download('punkt')" `

Regardless this project has a fallback on REGEXes in case that the NLTK package fails for any reason.

# Testing

py.test is used to run the tests, in order to run it simply run:

` python setup.py test `

# Cleaning

To clean all the files generated during runtime simply run:

` python setup.py clean `