I think I am doing the correct thing...

gistfile1.json

{
 "metadata": {
  "name": "Untitled1"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import pandas as pd\n",
      "import matplotlib as plt\n",
      "import seaborn as sb\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.read_csv('/Users/laprice/data/aaronsw_petitioners_by_hour.csv',index_col=0, header=0)\n",
      "\n",
      "df.head()\n"
     ],
     "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>number_needed</th>\n",
        "      <th>signers</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>gathered</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2013-01-12 15:00:00</th>\n",
        "      <td> 24114</td>\n",
        "      <td>  886</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-01-12 16:00:00</th>\n",
        "      <td> 23823</td>\n",
        "      <td> 1177</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-01-12 17:00:00</th>\n",
        "      <td> 23461</td>\n",
        "      <td> 1539</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-01-12 18:00:00</th>\n",
        "      <td> 23191</td>\n",
        "      <td> 1809</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2013-01-12 19:00:00</th>\n",
        "      <td> 22822</td>\n",
        "      <td> 2178</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "output_type": "pyout",
       "prompt_number": 44,
       "text": [
        "                     number_needed  signers\n",
        "gathered                                   \n",
        "2013-01-12 15:00:00          24114      886\n",
        "2013-01-12 16:00:00          23823     1177\n",
        "2013-01-12 17:00:00          23461     1539\n",
        "2013-01-12 18:00:00          23191     1809\n",
        "2013-01-12 19:00:00          22822     2178"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sb.tsplot(df, time='gathered', value='signers',ax=df.plot())\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "UnboundLocalError",
       "evalue": "local variable 'x' referenced before assignment",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mUnboundLocalError\u001b[0m                         Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-47-4ae646518917>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtsplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gathered'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'signers'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/laprice/.virtualenvs/numbers/lib/python2.7/site-packages/seaborn/timeseries.pyc\u001b[0m in \u001b[0;36mtsplot\u001b[0;34m(data, time, unit, condition, value, err_style, ci, interpolate, color, estimator, n_boot, err_palette, err_kws, legend, ax, **kwargs)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;31m# Pad the sides of the plot only when not interpolating\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m     \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_xlim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m     \u001b[0mx_diff\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0minterpolate\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mUnboundLocalError\u001b[0m: local variable 'x' referenced before assignment"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}