├── .gitattributes ├── README.md ├── TestingRpy2.ipynb └── TestingRpy2_2.ipynb /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | 4 | # Custom for Visual Studio 5 | *.cs diff=csharp 6 | 7 | # Standard to msysgit 8 | *.doc diff=astextplain 9 | *.DOC diff=astextplain 10 | *.docx diff=astextplain 11 | *.DOCX diff=astextplain 12 | *.dot diff=astextplain 13 | *.DOT diff=astextplain 14 | *.pdf diff=astextplain 15 | *.PDF diff=astextplain 16 | *.rtf diff=astextplain 17 | *.RTF diff=astextplain 18 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Jupyter+Python+R with `rpy2` and magics 2 | 3 | Some sample notebooks using R magic commands within Python Jupyter notebooks using rpy2 module. The aim was to show how to load rpy2 within a notebook and then pass variables from python to R and back. 4 | 5 | See blog at: http://blog.revolutionanalytics.com/2016/01/pipelining-r-python.html 6 | -------------------------------------------------------------------------------- /TestingRpy2.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": true 8 | }, 9 | "outputs": [], 10 | "source": [ 11 | "import warnings\n", 12 | "warnings.filterwarnings('ignore')" 13 | ] 14 | }, 15 | { 16 | "cell_type": "code", 17 | "execution_count": 2, 18 | "metadata": { 19 | "collapsed": false 20 | }, 21 | "outputs": [], 22 | "source": [ 23 | "%load_ext rpy2.ipython" 24 | ] 25 | }, 26 | { 27 | "cell_type": "code", 28 | "execution_count": 3, 29 | "metadata": { 30 | "collapsed": false 31 | }, 32 | "outputs": [ 33 | { 34 | "data": { 35 | "text/plain": [ 36 | "array([1], dtype=int32)" 37 | ] 38 | }, 39 | "execution_count": 3, 40 | "metadata": {}, 41 | "output_type": "execute_result" 42 | } 43 | ], 44 | "source": [ 45 | "%R require(ggplot2)" 46 | ] 47 | }, 48 | { 49 | "cell_type": "code", 50 | "execution_count": 4, 51 | "metadata": { 52 | "collapsed": true 53 | }, 54 | "outputs": [], 55 | "source": [ 56 | "import pandas as pd" 57 | ] 58 | }, 59 | { 60 | "cell_type": "code", 61 | "execution_count": 5, 62 | "metadata": { 63 | "collapsed": true 64 | }, 65 | "outputs": [], 66 | "source": [ 67 | "df = pd.DataFrame({'Letter': ['a', 'a', 'a', 'b','b', 'b', 'c', 'c','c'],\n", 68 | " 'X': [4, 3, 5, 2, 1, 7, 7, 5, 9],\n", 69 | " 'Y': [0, 4, 3, 6, 7, 10, 11, 9, 13],\n", 70 | " 'Z': [1, 2, 3, 1, 2, 3, 1, 2, 3]})" 71 | ] 72 | }, 73 | { 74 | "cell_type": "code", 75 | "execution_count": 6, 76 | "metadata": { 77 | "collapsed": false 78 | }, 79 | "outputs": [ 80 | { 81 | "data": { 82 | "image/png": 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41yNA/QggkLVAbbROzn1/urxf/6HEEv+6Sq3xqFS37pUb1t8pjbEv9467ystyBOwWsC0A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\nAABJRU5ErkJggg==\n" 83 | }, 84 | "metadata": {}, 85 | "output_type": "display_data" 86 | } 87 | ], 88 | "source": [ 89 | "%%R -i df\n", 90 | "ggplot(data = df) + geom_point(aes(x = X, y = Y, color = Letter, size = Z))" 91 | ] 92 | }, 93 | { 94 | "cell_type": "code", 95 | "execution_count": null, 96 | "metadata": { 97 | "collapsed": true 98 | }, 99 | "outputs": [], 100 | "source": [] 101 | } 102 | ], 103 | "metadata": { 104 | "kernelspec": { 105 | "display_name": "Python 3", 106 | "language": "python", 107 | "name": "python3" 108 | }, 109 | "language_info": { 110 | "codemirror_mode": { 111 | "name": "ipython", 112 | "version": 3 113 | }, 114 | "file_extension": ".py", 115 | "mimetype": "text/x-python", 116 | "name": "python", 117 | "nbconvert_exporter": "python", 118 | "pygments_lexer": "ipython3", 119 | "version": "3.4.3" 120 | } 121 | }, 122 | "nbformat": 4, 123 | "nbformat_minor": 0 124 | } 125 | -------------------------------------------------------------------------------- /TestingRpy2_2.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": true 8 | }, 9 | "outputs": [], 10 | "source": [ 11 | "%load_ext rpy2.ipython" 12 | ] 13 | }, 14 | { 15 | "cell_type": "code", 16 | "execution_count": 2, 17 | "metadata": { 18 | "collapsed": true 19 | }, 20 | "outputs": [], 21 | "source": [ 22 | "import numpy as np" 23 | ] 24 | }, 25 | { 26 | "cell_type": "code", 27 | "execution_count": 3, 28 | "metadata": { 29 | "collapsed": true 30 | }, 31 | "outputs": [], 32 | "source": [ 33 | "x = np.array([1, 2, 4, 6, 5, 8])\n", 34 | "y = np.array([0, 1, 3, 2, 5, 7])" 35 | ] 36 | }, 37 | { 38 | "cell_type": "code", 39 | "execution_count": 4, 40 | "metadata": { 41 | "collapsed": false 42 | }, 43 | "outputs": [ 44 | { 45 | "data": { 46 | "image/png": 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VgaCzgWUkDKzQOaCfhVEUjIkgksKLDDHziy++GKdG5cuX504AgymIjswGUZjJQr+KPNGZ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\nvidPXiscv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47 | }, 48 | "metadata": {}, 49 | "output_type": "display_data" 50 | } 51 | ], 52 | "source": [ 53 | "%%R -i x,y -o mycoef\n", 54 | "xylm = lm(y~x)\n", 55 | "mycoef = coef(xylm)\n", 56 | "par(mfrow = c(2, 2))\n", 57 | "plot(xylm)" 58 | ] 59 | }, 60 | { 61 | "cell_type": "code", 62 | "execution_count": 5, 63 | "metadata": { 64 | "collapsed": false 65 | }, 66 | "outputs": [ 67 | { 68 | "name": "stdout", 69 | "output_type": "stream", 70 | "text": [ 71 | "[-0.77 0.87]\n" 72 | ] 73 | } 74 | ], 75 | "source": [ 76 | "print(mycoef)" 77 | ] 78 | }, 79 | { 80 | "cell_type": "code", 81 | "execution_count": 6, 82 | "metadata": { 83 | "collapsed": false 84 | }, 85 | "outputs": [ 86 | { 87 | "data": { 88 | "text/plain": [ 89 | "\n", 90 | "Call:\n", 91 | "lm(formula = y ~ x)\n", 92 | "\n", 93 | "Residuals:\n", 94 | " 1 2 3 4 5 6 \n", 95 | "-0.10 0.03 0.29 -2.45 1.42 0.81 \n", 96 | "\n", 97 | "Coefficients:\n", 98 | " Estimate Std. Error t value Pr(>|t|) \n", 99 | "(Intercept) -0.7700 1.2651 -0.609 0.5756 \n", 100 | "x 0.8700 0.2565 3.392 0.0275 *\n", 101 | "---\n", 102 | "Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n", 103 | "\n", 104 | "Residual standard error: 1.481 on 4 degrees of freedom\n", 105 | "Multiple R-squared: 0.7421,\tAdjusted R-squared: 0.6776 \n", 106 | "F-statistic: 11.51 on 1 and 4 DF, p-value: 0.02747\n", 107 | "\n", 108 | " 1 2 3 4 5 6 \n", 109 | "-0.10 0.03 0.29 -2.45 1.42 0.81 \n" 110 | ] 111 | }, 112 | "metadata": {}, 113 | "output_type": "display_data" 114 | } 115 | ], 116 | "source": [ 117 | "%%R\n", 118 | "print(summary(xylm))\n", 119 | "ls(xylm)\n", 120 | "residuals(xylm)" 121 | ] 122 | }, 123 | { 124 | "cell_type": "code", 125 | "execution_count": null, 126 | "metadata": { 127 | "collapsed": true 128 | }, 129 | "outputs": [], 130 | "source": [] 131 | } 132 | ], 133 | "metadata": { 134 | "kernelspec": { 135 | "display_name": "Python 3", 136 | "language": "python", 137 | "name": "python3" 138 | }, 139 | "language_info": { 140 | "codemirror_mode": { 141 | "name": "ipython", 142 | "version": 3 143 | }, 144 | "file_extension": ".py", 145 | "mimetype": "text/x-python", 146 | "name": "python", 147 | "nbconvert_exporter": "python", 148 | "pygments_lexer": "ipython3", 149 | "version": "3.4.3" 150 | } 151 | }, 152 | "nbformat": 4, 153 | "nbformat_minor": 0 154 | } 155 | --------------------------------------------------------------------------------