Gregor Aisch gka

## WikipediaPlainTables
// remove all images
$('table img').remove();

// remove all reference links
$('table .reference').remove()

// convert all links to plain text
$('table a').each(function(index, el) { $(el).replaceWith($(el).html()) });

## twitter_follower_intersect.py
#!/usr/bin/env python
"""
This script looks up how many followers two different Twitter accounts do have in common.

Usage:

    twitter_follower_intersect.py username username

You'll need Python and the Python Twitter Tools to get this running.

## csv2tsv
#!/usr/bin/env python2.7
"""
No more trouble with comma-separated and quoted CSV files.
"""
import csv, sys

if len(sys.argv) != 3: print 'Usage:\ncsv2tsv fromfile.csv tofile.tsv'

file_in = sys.argv[1]
file_out = sys.argv[2]

## gisutils.py
"""
implementation taken from
http://forum.worldwindcentral.com/showthread.php?t=20724

algorithm expects a list of [lng,lat] pairs in degrees
"""
def haversine(x):
	from math import cos
	return ( 1.0 - cos(x) ) / 2.0

## shape_center.py
"""
computes the center of a multi-polygon
"""
def shape_center(shape):
	"""
	computes the center of gravity of a shapefile multi-polygon
	shape must be an instance of shapefile._Shape of the Python Shapefile Library
	http://packages.python.org/Python%20Shapefile%20Library/
	Polygon class comes from here
	http://pypi.python.org/pypi/Polygon/1.17

## USA-sat.svg

      
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                gka
                / USA-sat.svg
            
            
              Created
              November 22, 2011 12:25
            
              
                Map of US cities and state poverty levels
              
          
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## eu-disposable-incomes.csv
indic_na,unit,geo\time	1996 	1997 	1998 	1999 	2000 	2001 	2002 	2003 	2004 	2005 	2006 	2007
AT11	11523.9	11771.1	12318.3	13027.5	13923.5	13937.3	14402.1	15052.7	16057.0	16840.4	17825.5	18470.1
AT12	12871.0	13021.4	13665.6	14525.4	15537.4	15403.4	15765.8	16322.2	16928.0	17831.3	18813.9	19544.9
AT13	14683.3	14857.3	15374.7	16069.4	17056.0	16630.1	16928.8	17261.8	17699.9	18279.5	18977.4	19485.4
AT21	11795.8	11922.2	12421.4	13006.9	14042.2	13967.3	14393.7	14954.2	15521.1	16523.0	17420.1	18127.9
AT22	12031.6	12222.0	12755.1	13429.9	14425.1	14242.8	14685.7	15180.8	15686.9	16638.9	17560.7	18347.0
AT31	12460.4	12643.3	13179.3	13796.6	14869.5	14654.6	15008.0	15522.6	16281.2	17261.5	18266.9	18949.4
AT32	12879.1	12985.2	13544.3	14257.6	15264.9	15007.9	15416.9	15921.1	16505.8	17563.2	18509.2	19289.0
AT33	12029.3	12018.6	12697.8	13400.2	14507.7	14402.3	15030.8	15632.8	16203.9	17043.9	17868.1	18588.3
AT34	12591.4	12620.3	13488.1	14107.7	15568.7	15154.4	15641.8	16167.9	16716.1	17793.2	18803.9	19367.5

## cartogram.py
"""
Generator for packed circle cartograms
"""
import proj, gisutils

class Cartogram:

	def loadCSV(self, url, key='id', value='val', lon='lon', lat='lat'):
		import csv
		doc = csv.reader(open(url))

## zip2nuts.py
#!/usr/bin/env python2.7

import csv, shapefile, Polygon, Polygon.IO, math

# shapefile comes from here:
# http://epp.eurostat.ec.europa.eu/cache/GISCO/geodatafiles/NUTS_10M_2006_SH.zip
shpsrc = "eu-nuts-2.shp"

# zip code database comes from here:
# http://www.clearlyandsimply.com/files/2010/10/european_cities_and_postcodes_us_standard.zip

## scrape_party_members.py
# coding=utf-8
from wikitools import wiki
from wikitools import api

site = wiki.Wiki('http://de.wikipedia.org/w/api.php')

#
# returns a list of categories
#
def getPageCategories(pages):
	// remove all images
	$('table img').remove();

	// remove all reference links
	$('table .reference').remove()

	// convert all links to plain text
	$('table a').each(function(index, el) { $(el).replaceWith($(el).html()) });
	#!/usr/bin/env python
	"""
	This script looks up how many followers two different Twitter accounts do have in common.

	Usage:

	twitter_follower_intersect.py username username

	You'll need Python and the Python Twitter Tools to get this running.
	#!/usr/bin/env python2.7
	"""
	No more trouble with comma-separated and quoted CSV files.
	"""
	import csv, sys

	if len(sys.argv) != 3: print 'Usage:\ncsv2tsv fromfile.csv tofile.tsv'

	file_in = sys.argv[1]
	file_out = sys.argv[2]
	"""
	implementation taken from
	http://forum.worldwindcentral.com/showthread.php?t=20724

	algorithm expects a list of [lng,lat] pairs in degrees
	"""
	def haversine(x):
	from math import cos
	return ( 1.0 - cos(x) ) / 2.0
	"""
	computes the center of a multi-polygon
	"""
	def shape_center(shape):
	"""
	computes the center of gravity of a shapefile multi-polygon
	shape must be an instance of shapefile._Shape of the Python Shapefile Library
	http://packages.python.org/Python%20Shapefile%20Library/
	Polygon class comes from here
	http://pypi.python.org/pypi/Polygon/1.17
	indic_na,unit,geo\time 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
	AT11 11523.9 11771.1 12318.3 13027.5 13923.5 13937.3 14402.1 15052.7 16057.0 16840.4 17825.5 18470.1
	AT12 12871.0 13021.4 13665.6 14525.4 15537.4 15403.4 15765.8 16322.2 16928.0 17831.3 18813.9 19544.9
	AT13 14683.3 14857.3 15374.7 16069.4 17056.0 16630.1 16928.8 17261.8 17699.9 18279.5 18977.4 19485.4
	AT21 11795.8 11922.2 12421.4 13006.9 14042.2 13967.3 14393.7 14954.2 15521.1 16523.0 17420.1 18127.9
	AT22 12031.6 12222.0 12755.1 13429.9 14425.1 14242.8 14685.7 15180.8 15686.9 16638.9 17560.7 18347.0
	AT31 12460.4 12643.3 13179.3 13796.6 14869.5 14654.6 15008.0 15522.6 16281.2 17261.5 18266.9 18949.4
	AT32 12879.1 12985.2 13544.3 14257.6 15264.9 15007.9 15416.9 15921.1 16505.8 17563.2 18509.2 19289.0
	AT33 12029.3 12018.6 12697.8 13400.2 14507.7 14402.3 15030.8 15632.8 16203.9 17043.9 17868.1 18588.3
	AT34 12591.4 12620.3 13488.1 14107.7 15568.7 15154.4 15641.8 16167.9 16716.1 17793.2 18803.9 19367.5
	"""
	Generator for packed circle cartograms
	"""
	import proj, gisutils

	class Cartogram:

	def loadCSV(self, url, key='id', value='val', lon='lon', lat='lat'):
	import csv
	doc = csv.reader(open(url))
	#!/usr/bin/env python2.7

	import csv, shapefile, Polygon, Polygon.IO, math

	# shapefile comes from here:
	# http://epp.eurostat.ec.europa.eu/cache/GISCO/geodatafiles/NUTS_10M_2006_SH.zip
	shpsrc = "eu-nuts-2.shp"

	# zip code database comes from here:
	# http://www.clearlyandsimply.com/files/2010/10/european_cities_and_postcodes_us_standard.zip
	# coding=utf-8
	from wikitools import wiki
	from wikitools import api

	site = wiki.Wiki('http://de.wikipedia.org/w/api.php')

	#
	# returns a list of categories
	#
	def getPageCategories(pages):