Alex Rutherford alexrutherford

This clustered force layout is implemented using two custom forces. The first, cluster, pushes nodes towards the largest node of the same color. A second collide force prevents circles from overlapping by detecting collisions.

This example uses standard gravity; compare to custom gravity applied only to the largest node of each color. To minimize distracting jitter during initialization, try an entry transition.

	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	.node {
	cursor: pointer;
	}

	.node circle {
	fill: #fff;

	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	.node {

	stroke-width: 0.5px;
	}

	.node:not(:hover) .nodetext {

	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	.node {

	stroke-width: 0.5px;
	}

	.node:not(:hover) .nodetext {

	#! /usr/bin/python
	import json,os,sys

	############
	def main():
	############
	'''
	Usage: python clear_output.py name.ipynb
	Output name_clean.ipynb [--inplace]
	Script to clean output from IPython notebooks

	def setFigSize(dim=(16.5,5.5)):
	fig = matplotlib.pyplot.gcf()
	fig.set_size_inches(dim[0],dim[1])

	setFigSize(dim=(10,10))
	# Just call it before you plot (dimension measured in inches)

	%config InlineBackend.figure_format = 'svg'
	# Also, you get crisp vector images if you set this

	import time

	ts = time.time()
	isodate = datetime.datetime.fromtimestamp(ts, None)

	# Now import directly into MongoDB
	# This timestamp will be read as ISODate()

	db.pages.aggregate([
	{$match:{id:{$exists:true}}},
	{$group:{_id:'$category',total:{$sum:1}}},
	{$sort:{total:-1}}
	])

	import logging
	hdlr = logging.FileHandler('log.log')
	formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
	hdlr.setFormatter(formatter)

	app = Flask(__name__)
	app.debug=True
	app.logger.addHandler(hdlr)

	import shapefile

	sf = shapefile.Reader("data/test.shp")

	fig=plt.figure()
	ax=fig.add_subplot(111)

	for nshp in xrange(len(shapes)):
	ptchs = []
	pts = np.array(shapes[nshp].points)