Documentation.ipynb

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      "Plotly and IPython - Documentation and Examples\n",
      "===\n",
      "\n",
      "Background\n",
      "---\n",
      "Plotly ([https://plot.ly](https://plot.ly)) is a collaborative data analysis and graphing platform. Plotly's IPython Graphing Library ([https://plot.ly/api/python](https://plot.ly/api/python)) interfaces Plotly's online graphing tools with your IPython notebook environment. Send data to your Plotly account, embed the graphs in your IPython notebook, and share them in your web browser. Style with code or with our online interface; share your work publicly with a url or privately among other Plotly members; access your graphs from anywhere.\n",
      "\n",
      "Learn More\n",
      "---\n",
      "- A talk and a demo: [Using Plotly and IPython for Scientific Computing](https://www.youtube.com/watch?v=zG8FYPFU9n4&feature=youtu.be&a)\n",
      "- Plotly Homepage: [https://plot.ly](https://plot.ly)\n",
      "- Plotly APIs for [Python](https://plot.ly/api/python), [Julia](https://plot.ly/api/julia), [MATLAB](https://plot.ly/MATLAB), [R](https://plot.ly/api/R), [Arduino](https://plot.ly/api/arduino), [Perl](https://plot.ly/api/perl) and our [REST protocol](https://plot.ly/api/REST)\n",
      "- Contribute to this doc on [Github](https://github.com/plotly/)\n",
      "\n",
      "Let us know what you think\n",
      "---\n",
      "\n",
      "- <chris@plot.ly>\n",
      "- [Plotly on Twitter](https://twitter.com/plotlygraphs)\n",
      "- [Plotly on Facebook](https://facebook.com/Plotly)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Import and sign up to plotly\n",
      "===\n",
      "You can sign up through the API. We'll generate an temporary password and an API key  for you. You can reset your password here: [https://plot.ly/accounts/password/reset/](https://plot.ly/accounts/password/reset/) and you can reset your API key here: [https://plot.ly/api/key](https://plot.ly/api/key)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import plotly"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#username = 'chris'\n",
      "#email = 'xxxxxx@email.com'\n",
      "\n",
      "#res = plotly.signup(username,email)\n",
      "#print res\n",
      "#py = plotly.plotly(res['un'], res['email'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "py = plotly.plotly('IPython.Demo', '1fw3zw2o13')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "50 Box Plots with 1 Line"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      "py.iplot([{'y': random.randn(5), 'type': 'box'} for i in range(50)], layout={'showlegend': False})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/404/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "<IPython.core.display.HTML at 0x102c55f10>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "That graph is interactive! Click and drag to zoom, shift-click and drag to pan, double-click to autoscale.\n",
      "\n",
      "It's also saved in your newly created plotly account. Click \"view in plotly\" to open it up in our online interface which includes a GUI for styling the graph."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Concentric Annuli"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      "\n",
      "# fill several concentric annuli with random points of equal density\n",
      "# color with the \"hue, saturation, lightness, alpha\" color code (hsla)\n",
      "# by keeping the hue, saturation, and alpha channels constant and marching\n",
      "# up the lightness channel\n",
      "\n",
      "\n",
      "t = 0.1     # thickness\n",
      "radius = arange(t, 5., t) \n",
      "density = 30.\n",
      "data = []\n",
      "\n",
      "for i in range(len(radius)):\n",
      "   r = radius[i]\n",
      "   npoints = density * pi * (r**2 - (r-t)**2)\n",
      "   rand_radius = t*random.rand(npoints)+r\n",
      "   rand_angle = random.rand(npoints)*2*pi\n",
      "   x = rand_radius*cos(rand_angle)\n",
      "   y = rand_radius*sin(rand_angle)\n",
      "   color = 'hsla(284, 100%, '+str(10+i*90/len(radius))+'%, 0.88)'\n",
      "   data.append({'x': x, 'y': y, 'type':'scatter','mode':'markers','marker':{'color':color}})\n",
      "\n",
      "l={'autosize': False,'width': 550, 'height': 550,\n",
      "\t'xaxis' : { \"ticks\": \"\", \"gridcolor\": \"white\", \"zerolinecolor\": \"white\", \"linecolor\": \"rgb(0, 0, 0)\", \"linewidth\": 3 },\n",
      "\t'yaxis' : { \"ticks\": \"\", \"gridcolor\": \"white\", \"zerolinecolor\": \"white\", \"linecolor\": \"rgb(0, 0, 0)\", \"linewidth\": 3 },\n",
      "\t'plot_bgcolor': 'rgb(229,229,229)', 'showlegend': False, 'hovermode': 'closest'}\n",
      "\n",
      "py.iplot(data,layout=l)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/405/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<IPython.core.display.HTML at 0x104128550>"
       ]
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     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data"
     ],
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     "metadata": {},
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        "         2.94187310e+00,   1.15397439e+00,  -3.89141723e-01,\n",
        "        -4.16853172e+00]),\n",
        "  'y': array([-2.11750345,  1.18598054,  4.62780808,  3.35033623, -1.7865754 ,\n",
        "        2.58768348, -2.82516047,  2.27646233, -4.06515055,  0.27486647,\n",
        "       -0.46431557,  0.29301127,  4.49653588, -3.84914576,  0.12059087,\n",
        "        2.33474644, -1.31275807, -4.4321135 ,  0.33111401,  1.92520782,\n",
        "        3.00451653,  3.00920454, -1.77348366, -4.38943021, -3.42608982,\n",
        "        0.19163151, -4.62786718,  1.46457646,  3.9154229 ,  0.14679932,\n",
        "        4.45035422, -4.27401337,  4.55292189,  4.54358444,  1.88361309,\n",
        "       -0.40457506, -4.43639847, -1.6133114 , -4.6983712 , -2.27514275,\n",
        "        1.15841946,  2.7288828 ,  2.3002268 ,  2.06137337,  0.4504906 ,\n",
        "       -0.98508068, -0.12663007, -0.47679682, -1.79560937,  4.14560573,\n",
        "       -4.52443827, -4.52723237,  4.67041356,  3.61992717,  1.56846269,\n",
        "        1.74518203, -4.41492433,  2.37934272, -0.14474434, -2.03849468,\n",
        "       -3.97399633,  0.776313  , -0.47663827,  1.71412395,  2.84397322,\n",
        "       -4.12057449,  0.2414202 , -4.3128363 ,  4.39591079,  4.63822071,\n",
        "       -1.77400972, -3.68998864, -0.41066813,  0.79697635, -1.88332594,\n",
        "        4.42939897,  2.81816414, -1.25714631, -4.62844687,  3.80964752,\n",
        "       -4.57259203, -3.54343979,  4.50184364, -4.59384211, -1.98457115])},\n",
        " {'marker': {'color': 'hsla(284, 100%, 94%, 0.88)'},\n",
        "  'mode': 'markers',\n",
        "  'type': 'scatter',\n",
        "  'x': array([-4.72686503, -2.3337826 ,  4.10394253, -3.93436203,  0.41213254,\n",
        "       -0.50037416, -1.17853409, -3.85251588,  4.37728385, -1.29095424,\n",
        "        4.19131853,  2.19865115,  2.02309919, -2.56492606,  3.90679984,\n",
        "        4.53435436,  4.40241074,  4.32334842,  2.69439576,  0.77297954,\n",
        "       -2.20612731, -2.07426227, -4.20451934, -2.60149992, -4.6000924 ,\n",
        "       -0.73959724,  3.59228265, -2.80408877,  4.69056316,  2.99998045,\n",
        "        4.57095305,  2.34181501,  4.3865501 , -3.94559288, -3.52179674,\n",
        "        4.10072534,  0.79723258, -1.39083824, -4.75781428, -2.22538038,\n",
        "       -4.72912395,  2.06512521, -1.78135767, -3.52534139, -3.36678775,\n",
        "       -4.69848588,  3.82656173,  3.95538594, -1.99922059, -4.52251337,\n",
        "       -0.09586561, -4.45436659, -2.127802  ,  0.41670843, -4.6916691 ,\n",
        "        2.75268104, -3.74513592,  3.31769306,  4.25294087,  4.57151371,\n",
        "       -4.71129137, -4.55426086,  3.84104363, -2.80546463, -3.36097407,\n",
        "       -2.12465336,  4.55300957, -3.75728659,  4.64425354,  1.5495731 ,\n",
        "        4.74640767, -3.82128979, -2.19284584, -1.3006776 ,  1.78443059,\n",
        "       -1.3889157 ,  2.57823038, -2.71803923, -2.72297247,  3.42015098,\n",
        "       -0.45033998,  3.66565375,  4.68139838, -0.17484982, -4.77183567,\n",
        "       -4.56899737,  2.22679599]),\n",
        "  'y': array([ 0.62691292,  4.15388982, -2.40371117, -2.67807733, -4.77811125,\n",
        "        4.7158518 ,  4.62360665,  2.75115782, -1.95743453,  4.54582434,\n",
        "        2.21173046, -4.17645497,  4.29164353,  4.05575787,  2.66308884,\n",
        "       -1.26205523,  1.90018933,  2.07777522,  3.88878785, -4.73032998,\n",
        "       -4.15276731, -4.26856357,  2.20773894, -3.98302457, -1.10530609,\n",
        "        4.68402111, -3.04381804, -3.8925407 ,  0.62442235, -3.72009126,\n",
        "        1.28814226, -4.10874724,  1.74459007, -2.64006841, -3.12409549,\n",
        "        2.40722545, -4.71848297,  4.52198428,  0.30001109, -4.18112277,\n",
        "        0.33295649, -4.32611603,  4.36640126, -3.1693274 , -3.28348193,\n",
        "       -0.57945977, -2.88946332,  2.63905075,  4.32665995, -1.27987628,\n",
        "        4.70935265, -1.58999254,  4.23502138, -4.72494627,  0.66472342,\n",
        "       -3.84123278,  2.94606757,  3.38555092, -2.21022677, -1.26838662,\n",
        "       -0.53156925, -1.25884818,  2.771445  , -3.77222419, -3.31757676,\n",
        "        4.30288821, -1.48111534, -2.93492724, -1.18381299, -4.50319754,\n",
        "        0.66251016, -2.77889779,  4.19528794, -4.5739704 , -4.41079585,\n",
        "       -4.52921243,  4.03184172,  3.83584191,  3.91655247,  3.32695971,\n",
        "        4.70531352, -2.94680888, -0.48983853, -4.78360192, -0.11930381,\n",
        "        1.36371657, -4.17327751])},\n",
        " {'marker': {'color': 'hsla(284, 100%, 96%, 0.88)'},\n",
        "  'mode': 'markers',\n",
        "  'type': 'scatter',\n",
        "  'x': array([ 3.29153718,  4.54909135,  2.30497581,  4.88914786,  0.1087808 ,\n",
        "        3.90077828, -4.53420167,  3.83084351,  1.02187407, -3.61077826,\n",
        "        4.71627484, -1.64809877,  4.40367818, -4.14131082,  3.57149725,\n",
        "        4.47541824,  4.55871971,  4.842234  ,  4.7142687 ,  3.61736963,\n",
        "       -3.22771824, -4.16785926,  4.73470512, -3.99857394, -2.03888974,\n",
        "       -4.641544  , -2.86570283, -4.44232994,  1.57425372, -3.21734887,\n",
        "       -3.30030108, -4.72966291,  4.73567162,  1.34218411, -1.82415091,\n",
        "       -4.67447778, -4.4208668 , -3.13156584, -1.86890996, -4.72355963,\n",
        "        4.63891638, -3.99971367,  3.64621406, -3.69063194, -4.08802141,\n",
        "       -1.95273732,  2.14362933, -0.12226333, -4.47096314,  4.63723012,\n",
        "        2.18303591, -4.83489403, -0.80795311, -2.08129097,  4.8449704 ,\n",
        "       -4.67640296, -2.23635661,  4.72410655, -2.65302224, -2.16397791,\n",
        "       -1.90719291,  3.77625778,  2.46244548, -3.98947151,  4.3712873 ,\n",
        "        4.29945657, -1.6215998 , -1.40104247,  4.81206168,  4.80773261,\n",
        "       -4.4706384 ,  1.54040545, -0.40034022,  2.16767747, -4.83582792,\n",
        "       -3.56718743, -4.72065824, -4.82633648,  1.72190935, -2.8149722 ,\n",
        "        3.23353841,  4.85474494,  3.16586779,  4.79234882, -0.41054586,\n",
        "        3.14453002,  0.34172036,  4.68398962, -4.77002504]),\n",
        "  'y': array([-3.55678202, -1.6924682 , -4.30621508,  0.05297458, -4.82817608,\n",
        "       -2.9268983 , -1.59567872, -2.96071252,  4.78517463, -3.18678421,\n",
        "        1.31052311,  4.53953   , -1.96073357,  2.55444076,  3.21041863,\n",
        "       -1.94602378,  1.77826886,  0.5232884 ,  1.04004145, -3.16526146,\n",
        "       -3.65507202, -2.47451105, -0.89166017, -2.75976779, -4.36320751,\n",
        "        1.54334502, -3.94880699,  1.94055182,  4.59708613, -3.65834093,\n",
        "        3.53236006,  1.2098367 , -0.92941239, -4.69815187, -4.46532427,\n",
        "       -1.11698475, -2.07945994, -3.65039697,  4.51930269,  0.93918264,\n",
        "       -1.40415995, -2.76907997, -3.17943203, -3.19703096, -2.54734543,\n",
        "       -4.48454771,  4.34487978,  4.86004411,  1.87026047, -1.29674471,\n",
        "        4.35460295,  0.76538575,  4.77914875,  4.38941637, -0.41410599,\n",
        "       -1.21989268,  4.30931166,  0.92500024,  4.00643754, -4.32743055,\n",
        "        4.43556828, -2.97128269, -4.19243007,  2.73265568, -2.2110829 ,\n",
        "        2.26912325, -4.54420441,  4.63504092,  0.53470531,  0.36603585,\n",
        "        1.87612282,  4.56202232,  4.83774824, -4.38819092,  0.42011874,\n",
        "        3.3252919 ,  1.21128722, -0.27751859, -4.5810116 , -3.88925775,\n",
        "       -3.59391123,  0.28338909, -3.648315  ,  0.52907543, -4.83420794,\n",
        "       -3.72448619, -4.81500233, -1.24770916, -1.04800063])},\n",
        " {'marker': {'color': 'hsla(284, 100%, 98%, 0.88)'},\n",
        "  'mode': 'markers',\n",
        "  'type': 'scatter',\n",
        "  'x': array([ 4.29704674,  3.4200742 ,  4.9717484 ,  3.90892919, -3.56256623,\n",
        "        1.24316525,  4.95179673, -0.35441076, -3.54182837,  4.88944493,\n",
        "        4.86788185, -2.26163656,  2.23421047,  4.14223479,  4.91824449,\n",
        "       -4.96519094, -4.37964599,  4.09341471, -4.84512698, -1.50201618,\n",
        "        3.68264591,  1.99729048,  1.04692816, -4.71867623, -2.65567386,\n",
        "       -1.94556666,  2.51726707,  2.57620782, -2.21798181, -2.3240136 ,\n",
        "       -4.24864033, -4.58853456, -2.40963731,  0.79339069, -3.22920434,\n",
        "        4.98449621, -2.15609468, -4.87944292,  4.14473062, -4.30971232,\n",
        "        2.74734989, -1.57142599, -4.68177158, -0.11825229, -3.72166831,\n",
        "       -1.42668726,  2.57988634,  4.63747976,  1.24121836, -2.43318782,\n",
        "        4.51626839, -3.54379882,  4.43173343,  4.73498315, -2.38554542,\n",
        "        2.29745541,  2.70216445, -3.63775833,  2.55047   , -1.89176648,\n",
        "       -4.51859276, -4.65748756,  4.7831042 ,  0.86499209,  4.42782063,\n",
        "        3.09532457, -2.14235721, -1.88462625, -3.52701452, -3.16293268,\n",
        "        3.32318328, -4.85064725,  2.31143678,  3.71869287,  4.97606017,\n",
        "       -0.16478263,  4.22302832,  4.75806918,  3.75403163,  4.98712794,\n",
        "       -2.03869127,  3.06907214, -3.48532746, -1.81987122, -3.47450952,\n",
        "        3.66768338, -4.94305689, -1.47083948,  1.17590844,  4.73974435,\n",
        "        4.88210164]),\n",
        "  'y': array([-2.43431927, -3.53381402,  0.02406562,  3.10707908, -3.42221535,\n",
        "       -4.82704422, -0.68122681,  4.91441916,  3.45523607, -0.7368689 ,\n",
        "        0.56690772,  4.44781517, -4.46724249, -2.63244614, -0.21805214,\n",
        "        0.52235189, -2.2622037 ,  2.82855566,  0.73624732,  4.74738404,\n",
        "        3.26207721,  4.5435283 , -4.86711744,  1.64124784,  4.22115784,\n",
        "       -4.53149033, -4.30647525, -4.24118694, -4.45665889,  4.37372377,\n",
        "        2.61490038, -1.85697592,  4.33502234, -4.91604394, -3.8079414 ,\n",
        "        0.07733063,  4.49837272,  0.60164099, -2.68654554,  2.35682979,\n",
        "        4.10904111,  4.66696725, -1.5908349 ,  4.93286151,  3.26482334,\n",
        "        4.73625637, -4.18311336, -1.62985703,  4.77223533,  4.31497333,\n",
        "       -1.98618389,  3.44126819, -2.28045493,  1.57546025,  4.30016455,\n",
        "       -4.3326754 , -4.15169528,  3.43015218, -4.27940831,  4.5289347 ,\n",
        "        2.0684079 , -1.7720888 , -1.37923493, -4.8716381 , -2.09988664,\n",
        "        3.89317121, -4.44669626, -4.52897244, -3.54279148,  3.83998492,\n",
        "        3.60850575, -1.20337641,  4.33835706,  3.32973897, -0.35656422,\n",
        "       -4.92524634, -2.49512907,  1.40087735,  3.22715419,  0.04725513,\n",
        "        4.55723501,  3.84226   , -3.54736865, -4.58141236,  3.58302596,\n",
        "        3.3551456 ,  0.21303742, -4.75530479,  4.80592302, -1.36802318,\n",
        "        0.43611381])}]"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Simple Line Plots"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x0 = [1,2,3,4]; y0 = [10,15,13,17]\n",
      "x1 = [2,3,4,5]; y1 = [16,5,11,9]\n",
      "py.iplot(x0, y0, x1, y1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/407/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "<IPython.core.display.HTML at 0x104aa5f90>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "py.verbose=False"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "trace0 = {'x': [1,2,3,4], \n",
      "  'y': [10,15,13,17],\n",
      "  'type': 'scatter', \n",
      "  'mode': 'markers'}\n",
      "\n",
      "trace1 = {'x': [2,3,4,5], \n",
      "  'y': [16,5,11,9],\n",
      "  'type': 'scatter', \n",
      "  'mode': 'lines'}\n",
      "\n",
      "trace2 = {'x': [1,2,3,4], \n",
      "  'y': [12,9,15,12],\n",
      "  'type': 'scatter', \n",
      "  'mode': 'lines+markers'}\n",
      "\n",
      "py.iplot([trace0, trace1, trace2])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/408/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "<IPython.core.display.HTML at 0x104a12cd0>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Fully Styled Line Plot"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x1 = [1,2,3]; y1 = [4,5,6]\n",
      "x2 = [1,2,3]; y2 = [2,10,12]\n",
      " \n",
      "# plotly's data dictionaries\n",
      "trace1 = {'x': x1,\n",
      "    'y': y1,\n",
      "    \"name\":\"Experiment\",\n",
      "    \"type\":\"scatter\",\n",
      "    \"line\":{\n",
      "        \"color\":\"rgb(3,78,123)\", \n",
      "        \"width\":6,\n",
      "        \"dash\":\"dot\"\n",
      "    },\n",
      "    \"marker\":{\n",
      "        \"opacity\":1.0,\n",
      "        \"symbol\":\"square\",\n",
      "        \"size\":12,\n",
      "        \"color\":\"rgb(54,144,192)\",\n",
      "        \"line\":{\n",
      "            \"width\":3,\n",
      "            \"color\":\"darkblue\"\n",
      "        }\n",
      "    }\n",
      "}\n",
      "\n",
      "trace2 = {\"x\":x2,\n",
      "    \"y\":y2,\n",
      "    \"name\":\"Control\",    \n",
      "    \"type\":\"scatter\",\n",
      "    \"line\":{\n",
      "        \"color\":\"purple\",\n",
      "        \"width\":4,\n",
      "        \"dash\":\"dashdot\"\n",
      "    },\n",
      "    \"marker\":{\n",
      "        \"opacity\":0.9,\n",
      "        \"symbol\":\"cross\",\n",
      "        \"size\":16,\n",
      "        \"color\":\"fuchsia\",\n",
      "        \"line\":{\n",
      "            \"color\":\"\",\n",
      "            \"width\":0\n",
      "        },\n",
      "    }\n",
      "}\n",
      "\n",
      "py.iplot([trace1, trace2])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/409/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "<IPython.core.display.HTML at 0x1041282d0>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Basic Area Plot"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# basic-area \n",
      "trace0 = {'x': [1,2,3,4], \n",
      "  'y': [0, 2, 3, 5],\n",
      "  'fill': 'tozeroy'}\n",
      "\n",
      "trace1 = {'x': [1,2,3,4], \n",
      "  'y': [3,5,1,7],\n",
      "  'fill': 'tonexty'}\n",
      "\n",
      "py.iplot([trace0, trace1])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/410/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "<IPython.core.display.HTML at 0x104aa5250>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Bar Charts"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# basic-bar \n",
      "x0 = ['giraffes', 'orangutans', 'monkeys'];\n",
      "y0 = [20, 14, 23];\n",
      "data = {'x': x0, 'y': y0,\n",
      "    'type': 'bar'}\n",
      "py.iplot([data])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/411/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "<IPython.core.display.HTML at 0x104a12490>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# grouped-bar \n",
      "categories = ['giraffes', 'orangutans', 'monkeys']; \n",
      "SF = {'name': 'SF Zoo', \n",
      "    'x': categories, \n",
      "    'y': [20, 14, 23],\n",
      "    'type': 'bar'}\n",
      "LA = {'name': 'LA Zoo',\n",
      "    'x': categories, \n",
      "    'y': [12,18,29],\n",
      "    'type': 'bar'}\n",
      "layout = {\n",
      "    'barmode': 'group',\n",
      "    'xaxis': {'type': 'category'},\n",
      "    'categories': categories}\n",
      "py.iplot([LA, SF], layout=layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/412/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "<IPython.core.display.HTML at 0x104aa5590>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "layout = {'barmode': 'stack',  \n",
      "    'xaxis': {'type': 'category'},\n",
      "    'categories': categories}\n",
      "py.iplot([SF, LA], layout=layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/413/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "<IPython.core.display.HTML at 0x104a12c90>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "categories=['giraffes', 'orangutans', 'monkeys']\n",
      "SF = {'name': 'SF Zoo', \n",
      "  'x': categories, \n",
      "  'y': [20, 14, 23],\n",
      "  'type': 'bar',\n",
      "  'marker':{\n",
      "    'color': 'orange',\n",
      "    'line': {'color': 'grey', \n",
      "      'width': 3}}\n",
      "  }\n",
      "\n",
      "LA = {'name': 'LA Zoo',\n",
      "  'x': categories, \n",
      "  'y': [12,18,29],\n",
      "  'type': 'bar',\n",
      "  'marker': {'color': 'rgb(111, 168, 220)',\n",
      "    'line': {'color': 'grey',\n",
      "      'width': 3}}\n",
      "  }\n",
      "\n",
      "layout = {\n",
      "  'title': 'Animal Population',\n",
      "  'barmode': 'group',\n",
      "  'yaxis': {'name': '# of animals (thousands)'},\n",
      "  'xaxis': {'type': 'category'},\n",
      "  'categories': categories,\n",
      "  'bargap': 0.25,\n",
      "  'bargroupgap': 0.3,\n",
      "  'bardir': 'v'}\n",
      "\n",
      "py.iplot([LA, SF], layout=layout)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/414/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "<IPython.core.display.HTML at 0x104aa53d0>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Error Bars"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Error Bars \n",
      "data = {'x': [0,1,2],\n",
      "  'y': [6,10,2],\n",
      "  'error_y': {'type': 'data',\n",
      "    'array': [1, 2, 3],\n",
      "    'visible': True}}\n",
      "py.iplot([data])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/415/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "<IPython.core.display.HTML at 0x104a12c10>"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# percent-error-bar \n",
      "data = {'x': [0,1,2],\n",
      "  'y': [6,8,4],\n",
      "  'error_y': {'type': 'percent',\n",
      "    'value': 50,\n",
      "    'visible': True}}\n",
      "py.iplot([data])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/416/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "<IPython.core.display.HTML at 0x104a12890>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "categories = ['Trial 1', 'Trial 2', 'Trial 3']\n",
      "control = {'x': categories, \n",
      "  'y': [3, 6, 4],\n",
      "  'type': 'bar',\n",
      "  'marker':{'color': 'rgb(74, 134, 232)'},\n",
      "  'error_y': {'type': 'data',\n",
      "    'array': [1, 0.5, 1.5],\n",
      "    'visible': True,\n",
      "    'color': 'rgb(67, 67, 67)'}}\n",
      "exp = {'x': categories,\n",
      "  'y': [4, 7, 3],\n",
      "  'type': 'bar',\n",
      "  'marker':{'color':'rgb(111, 168, 220)'},\n",
      "  'error_y': {'type': 'data',\n",
      "    'array': [0.5, 1, 2],\n",
      "    'visible': True,\n",
      "    'color': 'rgb(67, 67, 67)'}}\n",
      "layout = {'barmode': 'group'}\n",
      "\n",
      "py.iplot([control, exp], layout=layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/417/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "<IPython.core.display.HTML at 0x104a12d10>"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Box Plots"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# basic-box-plot \n",
      "box1 = {'y': [0, 1, 2, 4],\n",
      "    'type': 'box'}\n",
      "box2 = {'y': [1,2,4,5,8],\n",
      "    'type': 'box'}\n",
      "py.iplot([box1, box2])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/418/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "<IPython.core.display.HTML at 0x104a12bd0>"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# jitter \n",
      "from numpy import *\n",
      "box = {'y': random.randn(50),\n",
      "    'type': 'box',\n",
      "    'boxpoints': 'all',\n",
      "    'jitter': 0.3,  \n",
      "    'pointpos': -1.8} \n",
      "py.iplot([box])\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/419/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<IPython.core.display.HTML at 0x104126bd0>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Histograms"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      "x = random.randn(500) # normally distributed vector\n",
      "data = {'x': x,\n",
      "    'type': 'histogramx'}\n",
      "py.iplot([data])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/420/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "<IPython.core.display.HTML at 0x104ac6f10>"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# stacked-histo \n",
      "from numpy import *\n",
      "x0 = random.randn(500)\n",
      "x1 = random.randn(500)+1\n",
      "data0 = {'x': x0,\n",
      "    'type': 'histogramx'}\n",
      "data1 = {'x': x1,\n",
      "    'type': 'histogramx'}\n",
      "layout = {'barmode': 'stack'}\n",
      "py.iplot([data0, data1], layout=layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/421/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "<IPython.core.display.HTML at 0x104ac6d90>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "layout = {'barmode': 'overlay'} \n",
      "py.iplot([data0, data1], layout=layout)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/422/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "<IPython.core.display.HTML at 0x104ac6c90>"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# style-histo \n",
      "from numpy import *\n",
      "x0 = random.randn(500)\n",
      "x1 = random.randn(500)+1\n",
      "data0 = {'x': x0,\n",
      "  'type': 'histogramx',\n",
      "  'name': 'control',\n",
      "  'marker':{\n",
      "    'color': 'rgba(255,0,255,0.75)',\n",
      "    'opacity': 0.75,\n",
      "    },\n",
      "  'autobinx': False,\n",
      "  'xbins':{\n",
      "    'start': -3.2,\n",
      "    'end': 2.8,\n",
      "    'size': 0.2\n",
      "    },\n",
      "  'histnorm': 'count'\n",
      "}\n",
      "data1 = {'x': x1,\n",
      "  'name': 'experiment',\n",
      "  'type': 'histogramx',\n",
      "  'marker':{\n",
      "    'color': 'rgba(255, 217, 102,0.75)',\n",
      "    'opacity': 0.75},\n",
      "  'autobinx': False,\n",
      "  'xbins':{\n",
      "    'start': -1.8,\n",
      "    'end': 4.2,\n",
      "    'size': 0.2\n",
      "    }\n",
      "  }\n",
      "\n",
      "layout = {'barmode': 'overlay',\n",
      "  'bargap': 0.25,\n",
      "  'bargroupgap': 0.3,\n",
      "  'bardir': 'v',\n",
      "  'title': 'Sampled Results',\n",
      "  'xaxis': {'title': 'Value'},\n",
      "  'yaxis': {'title': 'Count'}}  \n",
      "py.iplot([data0, data1], layout=layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/423/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "<IPython.core.display.HTML at 0x104128390>"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "2D Histograms"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      "x = random.randn(500)\n",
      "y = random.randn(500)+1\n",
      "data = {'x': x, 'y': y,\n",
      "    'type': 'histogram2d'}\n",
      "py.iplot([data])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/424/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "<IPython.core.display.HTML at 0x104ac5410>"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      "x = random.randn(500)\n",
      "y = random.randn(500)+1\n",
      "data = {'x': x, \n",
      "    'y': y,\n",
      "    'type': 'histogram2d',\n",
      "    'autobinx': False,\n",
      "    'xbins': {\n",
      "        'start': -3,\n",
      "        'end': 3,\n",
      "        'size': 0.1\n",
      "    },\n",
      "    'autobiny': False,\n",
      "    'ybins': {\n",
      "        'start': -2.5,\n",
      "        'end': 4,\n",
      "        'size': 0.1\n",
      "    },\n",
      "    'scl': [[0,\"rgb(12,51,131)\"],\\\n",
      "        [0.25,\"rgb(10,136,186)\"],\\\n",
      "        [0.5,\"rgb(242,211,56)\"],\\\n",
      "        [0.75,\"rgb(242,143,56)\"],\\\n",
      "        [1,\"rgb(217,30,30)\"]],\n",
      "    'histnorm': 'probability'\n",
      "}\n",
      "\n",
      "layout =  {\n",
      "    'xaxis':{\n",
      "        'range':[-2,2],\n",
      "        'autorange':False\n",
      "    },'yaxis':{\n",
      "        'range':[-1,3],\n",
      "        'autorange':False \n",
      "        },\n",
      "    'width':520,'height':380,\n",
      "    'autosize':False\n",
      "    }\n",
      "\n",
      "py.iplot([data],layout=layout)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/425/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "<IPython.core.display.HTML at 0x104aa5190>"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Heatmaps"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# basic-heatmap \n",
      "z = [[1., 20., 30 ],\\\n",
      "     [20., 1., 60 ],\\\n",
      "     [30., 60., 1.]]\n",
      "data = {'z': z,\n",
      "    'type': 'heatmap'}\n",
      "py.iplot([data])\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/426/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "<IPython.core.display.HTML at 0x104aa5a90>"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']\n",
      "y = ['Morning', 'Afternoon', 'Evening']\n",
      "z = [[1., 20., 30, 50, 1],\\\n",
      "     [20., 1., 60, 80, 30 ],\\\n",
      "     [30., 60., 1., -10, 20]]\n",
      "data = {'x': x,\n",
      "    'y': y,\n",
      "    'z': z,\n",
      "    'type': 'heatmap'}\n",
      "py.iplot([data])\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/427/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "<IPython.core.display.HTML at 0x104a12d50>"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Mixed Types"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      "x0 = linspace(0, 5, 15)\n",
      "y0 = sin(x0) + random.rand(15)\n",
      "data0 = {'x': x0,'y': y0,\n",
      "    'type': 'scatter'}\n",
      "\n",
      "x1 = [0, 1, 2, 3, 4, 5]\n",
      "y1 = [1, 0.5, 0.7, -1.2, 0.3, 0.4]\n",
      "data1 = {'x': x1,'y': y1,\n",
      "    'type': 'bar'}\n",
      "\n",
      "py.iplot([data0, data1])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/428/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "<IPython.core.display.HTML at 0x104ac6ed0>"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from numpy import *\n",
      " \n",
      "x0 = random.randn(100)/5. + 0.5 \n",
      "y0 = random.randn(100)/5. + 0.5 \n",
      " \n",
      "x1 = random.rayleigh(size=80)/7. + 0.1\n",
      "y1 = random.rayleigh(size=80)/8. + 1.1\n",
      " \n",
      "y = concatenate([y0,y1])\n",
      "x = concatenate([x0,x1])\n",
      "\n",
      "data0 = {'x': x0, 'y': y0, \n",
      "  'marker':{'symbol':'circle'},\n",
      "  'type': 'scatter', 'mode': 'markers'}\n",
      "data1 = {'x': x1, 'y': y1, \n",
      "  'marker':{'symbol':'cross'},\n",
      "  'type': 'scatter', 'mode': 'markers'}\n",
      " \n",
      "data_hist = {'x': x, 'y': y, \n",
      "  'type':'histogram2d'}\n",
      "\n",
      "py.iplot([data0,data1,data_hist])\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "\n"
       ]
      },
      {
       "html": [
        "<iframe height=\"650\" id=\"igraph\" scrolling=\"no\" seamless=\"seamless\" src=\"https://plot.ly/~IPython.Demo/429/600/600\" width=\"650\"></iframe>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "<IPython.core.display.HTML at 0x104ac5bd0>"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    }
   ],
   "metadata": {}
  }
 ]
}