habitica-challenge-wrangler 1.1.3

Habitica Challenge Data Wrangler - pick winners from challenge data

# habitica-challenge-wrangler Data wrangling tool for quickly selecting a winner from [Habitica](https://habitica.com) Challenge CSV data.

• Free software: Apache 2.0

• Homepage: https://github.com/DC23/habitica-challenge-wrangler

• Version: 1.1.3

## Installation

To install the latest release from [PyPI](https://pypi.python.org/pypi):

pip install habitica-challenge-wrangler

If you already have habitica-challenge-wrangler installed, then upgrade with:

pip install –upgrade habitica-challenge-wrangler

This application requires the [pandas library](http://pandas.pydata.org/), version 0.17.0 or higher. If you have trouble installing with pip, then I suggest you use one of the scientific Python distributions, such as [Anaconda](https://www.continuum.io/) (Linux, Mac, Windows), or [WinPython](https://winpython.github.io/) (Windows only).

## Usage

First, download your Habitica challenge CSV data from the Habitica website.

Then execute the pick-winner script, passing the downloaded CSV file name as a command line argument:

pick-winner my_challenge_data.csv

By default, the leaderboard showing the top 20 participants is displayed. The number of participants to display can be specified with a second command line argument:

pick-winner my_challenge_data.csv 10

## Scoring

Each task is considered separately. Scores are ranked from first to last, with first place getting 1 point, second place getting 2 points, and so on through to last place.

For todos, a completed todo is treated as equal first place while incomplete todos are scored as equal last place.

Finally, the ranking scores are averaged for each participant. The participant with the highest average placing in each task is considered the winner.

### Tie Breaks

In the event of a tie for first place, the names of all tied participants are printed, and a random winner is selected.