gistfile1.txt

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    {
     "cell_type": "code",
     "collapsed": false,
     "input": "%matplotlib inline\nimport matplotlib.pyplot as plt # side-stepping mpl backend\nimport matplotlib.gridspec as gridspec # subplots\nimport numpy as np",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import plotly.plotly as py\nimport plotly.tools as tls\nfrom plotly.graph_objs import *\n# py.sign_in(\"IPython.Demo\", \"1fw3zw2o13\")",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import plotly\nplotly.__version__",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": "'1.0.0'"
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from ggplot import *",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom ggplot import *",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "a = ggplot(meat, aes('date','beef * 2000')) + \\\n    geom_line(color='coral') + \\\n    scale_x_date(breaks=date_breaks('36 months'), labels='%Y') + \\\n    scale_y_continuous(labels='millions')",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fig = a.draw() \npy.iplot_mpl(fig, strip_style=True)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~PythonAPI/336\" height=\"525\" width=\"100%\"></iframe>",
       "metadata": {},
       "output_type": "display_data",
       "text": "<IPython.core.display.HTML at 0x10fadd4d0>"
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "b = ggplot(diamonds, aes(x='price', fill='cut')) +\\\n    geom_density(alpha=0.25) +\\\n    facet_wrap(\"clarity\")",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom ggplot import *",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "meat = meat.dropna(thresh=800, axis=1) # drop columns that have fewer than 800 observations\nts = meat.set_index(['date'])",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "ts.groupby(ts.index.year).sum().head(10)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>beef</th>\n      <th>veal</th>\n      <th>pork</th>\n      <th>lamb_and_mutton</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1944</th>\n      <td>  8801</td>\n      <td> 1629</td>\n      <td> 11502</td>\n      <td> 1001</td>\n    </tr>\n    <tr>\n      <th>1945</th>\n      <td>  9936</td>\n      <td> 1552</td>\n      <td>  8843</td>\n      <td> 1030</td>\n    </tr>\n    <tr>\n      <th>1946</th>\n      <td>  9010</td>\n      <td> 1329</td>\n      <td>  9220</td>\n      <td>  946</td>\n    </tr>\n    <tr>\n      <th>1947</th>\n      <td> 10096</td>\n      <td> 1493</td>\n      <td>  8811</td>\n      <td>  779</td>\n    </tr>\n    <tr>\n      <th>1948</th>\n      <td>  8766</td>\n      <td> 1323</td>\n      <td>  8486</td>\n      <td>  728</td>\n    </tr>\n    <tr>\n      <th>1949</th>\n      <td>  9142</td>\n      <td> 1240</td>\n      <td>  8875</td>\n      <td>  587</td>\n    </tr>\n    <tr>\n      <th>1950</th>\n      <td>  9248</td>\n      <td> 1137</td>\n      <td>  9397</td>\n      <td>  581</td>\n    </tr>\n    <tr>\n      <th>1951</th>\n      <td>  8549</td>\n      <td>  972</td>\n      <td> 10190</td>\n      <td>  508</td>\n    </tr>\n    <tr>\n      <th>1952</th>\n      <td>  9337</td>\n      <td> 1080</td>\n      <td> 10321</td>\n      <td>  635</td>\n    </tr>\n    <tr>\n      <th>1953</th>\n      <td> 12055</td>\n      <td> 1451</td>\n      <td>  8971</td>\n      <td>  715</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 43,
       "text": "       beef  veal   pork  lamb_and_mutton\n1944   8801  1629  11502             1001\n1945   9936  1552   8843             1030\n1946   9010  1329   9220              946\n1947  10096  1493   8811              779\n1948   8766  1323   8486              728\n1949   9142  1240   8875              587\n1950   9248  1137   9397              581\n1951   8549   972  10190              508\n1952   9337  1080  10321              635\n1953  12055  1451   8971              715"
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from ggplot import meat\nmeat_lng = pd.melt(meat, id_vars=['date'])\nc = ggplot(aes(x='date', y='value', colour='variable'), data=meat_lng) + geom_line()",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fig = c.draw() \npy.iplot_mpl(fig, strip_style = True)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~PythonAPI/341\" height=\"525\" width=\"100%\"></iframe>",
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      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from ggplot import *\n\nd = ggplot(aes(x='date', y='beef'), data=meat) +\\\n    geom_line() +\\\n    stat_smooth(colour='blue', span=0.2)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "fig = d.draw() \npy.iplot_mpl(fig, strip_style = True)",
     "language": "python",
     "metadata": {},
     "outputs": [
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