Ethan White ethanwhite

It appears that read.csv() converts floats to factors if they have a large number of decimal places.

Data files

test_works.csv:

a,b
1.255,2.993
1.834,2.555

	<html>
	<body>
	<script type="text/javascript" src="http://impactstory.org/embed/v1/impactstory.js"></script>
	<div class="impactstory-embed" id="impactstory" data-id="19210768" data-id-type="pmid" data-api-key="API-DOCS"></div>
	</body>
	</html>

	javascript:date=new Date();
	url_root='http://nbviewer.ipython.org/';
	url=null;
	gist=location.href.match(/^https?:\/\/gist.github.com\/([0-9]+)$/);
	if (gist) {
	url = url_root + gist[1];
	} else {
	path=location.href.match(/^https?:\/\/(.*\.ipynb)$/);
	if (path) {
	url=url_root + 'url/' + path[1];}}

	"""Trying Michael Hansen's temperature trend example using Pandas

	The original example, without Pandas, is available at:
	http://software-carpentry.org/2012/05/an-exercise-with-matplotlib-and-numpy/

	"""
	import os
	import pandas
	import numpy as np
	import matplotlib.pyplot as pyplot

	#!/usr/bin/env bash
	# Generates gource video (h.264) out of multiple repositories.
	# Pass the repositories in command line arguments.
	# Example:
	# <this.sh> /path/to/repo1 /path/to/repo2

	i=0
	for repo in $*; do
	# 1. Generate a Gource custom log files for each repo. This can be facilitated by the --output-custom-log FILE option of Gource as of 0.29:
	logfile="$(mktemp /tmp/gource.XXXXXX)"