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lgautier/rpy2_ggplot2

Last active December 15, 2015 01:29
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rpy2: ggplot2 figures from pandas dataframes
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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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DghAAQBcOnzNRSoqGJ8ZOE4kEQQgAoAtllbYlEwOUal1H4kEQAgAkv/pW/sQl0/xCDJO5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\nfUy6B4CeOHzeJHD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