Stress strain stream.ipynb

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   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/Users/chris/anaconda/lib/python2.7/site-packages/pandas/computation/expressions.py:21: UserWarning: The installed version of numexpr 2.0.1 is not supported in pandas and will be not be used\n",
        "The minimum supported version is 2.1\n",
        "\n",
        "  \"version is 2.1\\n\".format(ver=ver), UserWarning)\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly.plotly as py\n",
      "from plotly.graph_objs import Data, Scatter, Stream\n",
      "stream_id = \"58tjzcjk9q\" # See https://plot.ly/settings\n",
      "py.iplot({'data': Data([Scatter(x=[], y=[],\n",
      "                        stream=Stream(token=stream_id, maxpoints=3000))]),\n",
      "          'layout': {'xaxis': {'range': [0, 0.1], 'autorange': False},\n",
      "                     'yaxis': {'range': [0, 625], 'autorange': False}}}, \n",
      "         filename='stress strain stream')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~chris/7098.embed\" height=\"525\" width=\"100%\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 38,
       "text": [
        "<plotly.tools.PlotlyDisplay at 0x1075c4990>"
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     "prompt_number": 38
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Stream data to the import trace\n",
      "stream = py.Stream(stream_id) # Initialize a stream object\n",
      "stream.open() # Open the stream"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
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     "input": [
      "import time\n",
      "\n",
      "# stress strain data\n",
      "x = [8.42478E-05, 7.59319E-05, 8.42478E-05, 8.84057E-05, 9.25637E-05, 9.25637E-05, 8.00898E-05, 8.63268E-05, 7.17739E-05, 8.00898E-05, 7.17739E-05, 9.25637E-05, 8.00898E-05, 9.04847E-05, 8.42478E-05, 8.63268E-05, 7.38529E-05, 8.21688E-05, 8.63268E-05, 9.88006E-05, 0.000111274, 0.000102959, 9.25637E-05, 0.000111274, 0.000102959, 0.000109196, 0.000115432, 0.000109196, 0.000134143, 0.000121669, 0.000138301, 0.000132064, 0.000142459, 0.000136222, 0.000159091, 0.000152854, 0.000150775, 0.000188197, 0.000150775, 0.000184039, 0.000167407, 0.000184039, 0.000177802, 0.000192355, 0.000186118, 0.000190276, 0.000208986, 0.000194434, 0.000206907, 0.000206907, 0.000211065, 0.000223539, 0.00022146, 0.000236013, 0.000225618, 0.00024225, 0.000231855, 0.000248487, 0.00024225, 0.000254724, 0.000248487, 0.000271356, 0.000267198, 0.000267198, 0.000275514, 0.000279672, 0.000271356, 0.000269277, 0.000294224, 0.000298382, 0.000306698, 0.000296303, 0.000308777, 0.000306698, 0.000310856, 0.000317093, 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     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "time.sleep(10)\n",
      "for i in range(0, len(x), 2):\n",
      "    stream.write(dict(x=x[i], y=y[i]))\n",
      "    time.sleep(0.10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "time.sleep(0.05)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}