streaming lindenmeyer generation

lindenmeyer_plotly.ipynb

{
 "metadata": {
  "name": "lindenmeyer"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from numpy import sin, cos, pi, tan\nfrom IPython.display import display as d\n\nimport plotly.plotly as py\nimport plotly.tools as tls \nfrom plotly.graph_objs import *\n\npy.sign_in(\"jackp\", \"XXXX\")",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def f(stream):\n    while 1:\n        s = 'F[-F]F[+F][F]'\n        itr = 2\n        args = {'xo':0, 'yo':0, 'a':pi/3, 'b':pi/6, 'd':10, 'mvs':[], 'xa':[], 'ya':[] }\n        for i in range(itr): s=s.replace('F',s)\n        s=list(s)        \n        for mv in s:\n            if mv=='F':\n                x=args['xo']+args['d']*cos(args['a'])\t\t\n                y=args['yo']+args['d']*sin(args['a'])\n                args['xa'].append(x)\n                args['ya'].append(y)            \n                args['xo']=x\n                args['yo']=y\n                try:\n                    stream.write( dict(x=x, y=y) )\n                    time.sleep(0.08) \n                except:\n                    # ok to miss a point\n                    # connection errors bum the flow\n                    pass\n            elif mv=='+': args['a']+=args['b']\n            elif mv=='-': args['a']-=args['b']\n            elif mv=='[' and len(args['mvs'])!=0:\n                x,y=args['mvs'].pop()\n                args['xo']=x\n                args['yo']=y\n            elif mv==']':\n                args['mvs'].append((args['xo'],args['yo']))\n            \n\n# Initialize stream\ntrace1 = Scatter( x=[], y=[], stream=dict(token='XXXX'), mode='markers' )\ndata = Data([trace1])\nlayout = Layout( showlegend = False )\nd( py.iplot( data, layout=layout, filename='lindenmeyer' ) )\nstream = py.Stream('XXXX')\n\nstream.open()\n\nf(stream)\n\nstream.close()\n",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~jackp/1738\" height=\"525\" width=\"100%\"></iframe>",
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BwRtgCd4cS/CWzQRvjU7w5m6CNzcz0RcQvH1DGwIBwRtgCd4cS/CWzQRvjU7w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\nOPfccx85YvHd1Xjf+943zjr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     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}