rpy2: ggplot2 figures from pandas dataframes

rpy2_ggplot2

{
 "metadata": {
  "name": "Untitled0"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# automagic conversion of pandas dataframes\n",
      "# to R objects\n",
      "from rpy2.robjects import pandas2ri\n",
      "pandas2ri.activate()\n",
      "# rpy2's mapping of R's ggplot2\n",
      "from rpy2.robjects.lib import ggplot2\n",
      "# goodies for ipython (here to plot ggplot2\n",
      "# in the notebook)\n",
      "from rpy2.interactive import ipython\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# dummy data\n",
      "import io\n",
      "f = io.StringIO('\"x\",\"y\"\\n1,3\\n4,2\\n5,6\\n2,2\\n4.5,4\\n3,2.1\\n')\n",
      "import pandas\n",
      "dataf = pandas.read_csv(f)\n",
      "# note that 1) the pandas object is used directly\n",
      "# and 2) the ipython-specific constructor ggplot is used\n",
      "ipython.ggplot(dataf) + \\\n",
      "    ggplot2.aes_string(x = 'x', y = 'y') + \\\n",
      "    ggplot2.geom_point() + \\\n",
      "    ggplot2.geom_smooth(method = \"loess\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "png": 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