2011 1.08
Revision as of 16:25, 7 December 2010 by Mirjam Dissel (talk | contribs)
Pipeline
Common elements:
- Showing change over time
- Live feeds of data (RSS / XML)
- Data visualisation
- Browser based displays
In class, sample pipeline:
- RSS feed [[ ]]
- Python to convert to word lengths
- Image Magick to draw circles
- Bash Loop to produce multiple images
- Imagemagick to convert frames to animation
Drawing a circle with Image Magick:
convert -size 500x500 xc:skyblue -fill white -stroke black \
-draw "circle 50,30 40,10"\
-draw "circle 90,30 40,10" draw_circle.gif
display draw_circle.gif
Run by typing this in terminal: bash draw.sh
Turning the words of a feed into a number (length of word):
import feedparser, time, random
url = "http://search.twitter.com/search.atom?q=flu"
# SET THE LASTTIME BASED ON THE FEED...
feed = feedparser.parse(url)
for x in feed.entries:
for w in x.title.split():
print len(w),
print
Run: python pipeline01.py
Using these numbers to draw circles:
import feedparser, time, random
print """convert -size 500x500 xc:skyblue -fill none -stroke black \\"""
url = "http://search.twitter.com/search.atom?q=flu"
# SET THE LASTTIME BASED ON THE FEED...
feed = feedparser.parse(url)
for x in feed.entries:
for w in x.title.split():
print """ -draw "circle %d,%d %d,%d"\\""" % (len(w)*10, 50, 10, 10)
# print len(w),
# print
print """ draw_circle.gif """
print """ display draw_circle.gif"""
Run: python pipeline02.py | bash