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