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1 | import numpy as np | |
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2 | from IPython.core.interactiveshell import InteractiveShell | |
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3 | from IPython.extensions import rmagic | |
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4 | ||
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5 | ip = None | |
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6 | def setup(): | |
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7 | global ip | |
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8 | ip = InteractiveShell() | |
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9 | ip.magic('load_ext rmagic') | |
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10 | ||
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11 | def test_push(): | |
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12 | rm = rmagic.RMagics(ip) | |
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13 | ip.push({'X':np.arange(5), 'Y':np.array([3,5,4,6,7])}) | |
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14 | ip.run_line_magic('Rpush', 'X Y') | |
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15 | np.testing.assert_almost_equal(np.asarray(rm.r('X')), ip.user_ns['X']) | |
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16 | np.testing.assert_almost_equal(np.asarray(rm.r('Y')), ip.user_ns['Y']) | |
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17 | ||
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18 | def test_pull(): | |
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19 | rm = rmagic.RMagics(ip) | |
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20 | rm.r('Z=c(11:20)') | |
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21 | ip.run_line_magic('Rpull', 'Z') | |
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22 | np.testing.assert_almost_equal(np.asarray(rm.r('Z')), ip.user_ns['Z']) | |
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23 | np.testing.assert_almost_equal(ip.user_ns['Z'], np.arange(11,21)) | |
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24 | ||
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25 | def test_inline(): | |
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26 | rm = rmagic.RMagics(ip) | |
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27 | c = ip.run_line_magic('Rinline', 'lm(Y~X)$coef') | |
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28 | np.testing.assert_almost_equal(c, [3.2, 0.9]) | |
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29 | ||
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30 | def test_cell_magic(): | |
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31 | ||
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32 | ip.push({'x':np.arange(5), 'y':np.array([3,5,4,6,7])}) | |
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33 | snippet = ''' | |
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34 | a=lm(y~x) | |
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35 | print(summary(a)) | |
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36 | plot(X, Y, pch=23, bg='orange', cex=2) | |
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37 | plot(Y, X) | |
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38 | print(summary(X)) | |
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39 | r = resid(a) | |
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40 | xc = coef(a) | |
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41 | ''' | |
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42 | ip.run_cell_magic('R', '-i x,y -o r,xc', snippet) | |
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43 | np.testing.assert_almost_equal(ip.user_ns['xc'], [3.2, 0.9]) | |
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44 | np.testing.assert_almost_equal(ip.user_ns['r'], np.array([-0.2, 0.9, -1. , 0.1, 0.2])) |
@@ -1,259 +1,257 b'' | |||
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1 | 1 | # -*- coding: utf-8 -*- |
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2 | 2 | """ |
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3 | 3 | R related magics. |
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4 | 4 | |
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5 | 5 | Author: |
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6 | 6 | * Jonathan Taylor |
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7 | 7 | |
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8 | 8 | """ |
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9 | 9 | |
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10 | 10 | import sys |
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11 | 11 | import tempfile |
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12 | 12 | from glob import glob |
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13 | 13 | from shutil import rmtree |
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14 | 14 | from getopt import getopt |
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15 | 15 | |
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16 | 16 | # numpy and rpy2 imports |
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17 | 17 | |
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18 | 18 | import rpy2.rinterface as ri |
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19 | 19 | import numpy as np |
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20 | 20 | import rpy2.robjects as ro |
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21 | 21 | from rpy2.robjects.numpy2ri import numpy2ri |
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22 | 22 | ro.conversion.py2ri = numpy2ri |
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23 | 23 | |
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24 | 24 | # IPython imports |
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25 | 25 | |
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26 | 26 | from IPython.core.displaypub import publish_display_data |
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27 | 27 | from IPython.core.magic import Magics, magics_class, cell_magic, line_magic |
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28 | 28 | from IPython.testing.skipdoctest import skip_doctest |
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29 | 29 | from IPython.core.magic_arguments import ( |
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30 | 30 | argument, magic_arguments, parse_argstring |
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31 | 31 | ) |
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32 | 32 | |
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33 | 33 | @magics_class |
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34 | 34 | class RMagics(Magics): |
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35 | 35 | |
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36 | 36 | def __init__(self, shell, Rconverter=np.asarray, |
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37 | 37 | pyconverter=np.asarray): |
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38 | 38 | super(RMagics, self).__init__(shell) |
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39 | 39 | ri.set_writeconsole(self.write_console) |
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40 | 40 | |
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41 | 41 | # the embedded R process from rpy2 |
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42 | 42 | self.r = ro.R() |
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43 | 43 | self.output = [] |
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44 | 44 | self.Rconverter = Rconverter |
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45 | 45 | self.pyconverter = pyconverter |
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46 | 46 | |
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47 | 47 | def eval(self, line): |
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48 | 48 | try: |
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49 | 49 | ri.baseenv['eval'](ri.parse(line)) |
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50 | 50 | except ri.RRuntimeError as msg: |
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51 | 51 | self.output.append('ERROR parsing "%s": %s\n' % (line, msg)) |
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52 | 52 | pass |
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53 | 53 | |
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54 | 54 | def write_console(self, output): |
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55 | 55 | ''' |
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56 | 56 | A hook to capture R's stdout. |
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57 | 57 | ''' |
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58 | 58 | self.output.append(output) |
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59 | 59 | |
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60 | 60 | def flush(self): |
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61 | 61 | value = ''.join(self.output) |
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62 | 62 | self.output = [] |
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63 | 63 | return value |
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64 | 64 | |
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65 | 65 | @line_magic |
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66 | 66 | def Rpush(self, line): |
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67 | 67 | ''' |
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68 | 68 | A line-level magic for R that pushes |
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69 | 69 | variables from python to rpy2. |
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70 | 70 | |
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71 | 71 | Parameters |
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72 | 72 | ---------- |
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73 | 73 | |
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74 | 74 | line: input |
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75 | 75 | |
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76 | 76 | A white space separated string of |
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77 | 77 | names of objects in the python name space to be |
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78 | 78 | assigned to objects of the same name in the |
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79 | 79 | R name space. |
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80 | 80 | |
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81 | 81 | ''' |
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82 | 82 | |
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83 | 83 | inputs = line.split(' ') |
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84 | 84 | for input in inputs: |
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85 | 85 | self.r.assign(input, self.pyconverter(self.shell.user_ns[input])) |
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86 | 86 | |
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87 | 87 | @line_magic |
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88 | 88 | def Rpull(self, line): |
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89 | 89 | ''' |
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90 | 90 | A line-level magic for R that pushes |
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91 | 91 | variables from python to rpy2. |
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92 | 92 | |
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93 | 93 | Parameters |
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94 | 94 | ---------- |
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95 | 95 | |
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96 | 96 | line: output |
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97 | 97 | |
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98 | 98 | A white space separated string of |
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99 | 99 | names of objects in the R name space to be |
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100 | 100 | assigned to objects of the same name in the |
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101 | 101 | python name space. |
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102 | 102 | |
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103 | 103 | Notes |
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104 | 104 | ----- |
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105 | 105 | |
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106 | 106 | Beware that R names can have '.' so this is not fool proof. |
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107 | 107 | To avoid this, don't name your R objects with '.'s... |
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108 | 108 | |
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109 | 109 | ''' |
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110 | ||
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111 | 110 | outputs = line.split(' ') |
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112 | 111 | for output in outputs: |
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113 | 112 | self.shell.push({output:self.Rconverter(self.r(output))}) |
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114 | 113 | |
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115 | 114 | |
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116 | 115 | @line_magic |
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117 | 116 | def Rinline(self, line): |
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118 | 117 | ''' |
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119 | 118 | A line-level magic for R that executes |
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120 | 119 | some code in R and stores the resulting |
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121 | 120 | expression in the ipython shell. |
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122 | 121 | |
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123 | 122 | Parameters |
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124 | 123 | ---------- |
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125 | 124 | |
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126 | 125 | line: str |
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127 | 126 | |
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128 | 127 | A string of Rcode to be evaluted |
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129 | 128 | with return value passed to self.Rconverter. |
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130 | 129 | |
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131 | 130 | ''' |
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132 | ||
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133 | 131 | result = ri.baseenv['eval'](ri.parse(line)) |
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134 | 132 | return self.Rconverter(result) |
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135 | 133 | |
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136 | 134 | |
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137 | 135 | @magic_arguments() |
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138 | 136 | @argument( |
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139 | 137 | '-i', '--input', action='append', |
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140 | 138 | help='Names of input variable from shell.user_ns to be assigned to R variables of the same names after calling self.pyconverter. Multiple names can be passed separated only by commas with no whitespace.' |
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141 | 139 | ) |
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142 | 140 | @argument( |
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143 | 141 | '-o', '--output', action='append', |
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144 | 142 | help='Names of variables to be pushed from rpy2 to shell.user_ns after executing cell body and applying self.Rconverter. Multiple names can be passed separated only by commas with no whitespace.' |
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145 | 143 | ) |
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146 | 144 | @argument( |
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147 | 145 | '-w', '--width', type=int, |
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148 | 146 | help='Width of png plotting device sent as an argument to *png* in R.' |
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149 | 147 | ) |
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150 | 148 | @argument( |
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151 | 149 | '-h', '--height', type=int, |
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152 | 150 | help='Height of png plotting device sent as an argument to *png* in R.' |
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153 | 151 | ) |
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154 | 152 | |
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155 | 153 | @argument( |
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156 | 154 | '-u', '--units', type=int, |
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157 | 155 | help='Units of png plotting device sent as an argument to *png* in R. One of ["px", "in", "cm", "mm"].' |
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158 | 156 | ) |
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159 | 157 | @argument( |
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160 | 158 | '-p', '--pointsize', type=int, |
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161 | 159 | help='Pointsize of png plotting device sent as an argument to *png* in R.' |
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162 | 160 | ) |
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163 | 161 | @argument( |
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164 | 162 | '-b', '--bg', |
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165 | 163 | help='Background of png plotting device sent as an argument to *png* in R.' |
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166 | 164 | ) |
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167 | 165 | @cell_magic |
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168 | 166 | def R(self, line, cell): |
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169 | 167 | ''' |
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170 | 168 | A cell-level magic for R. |
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171 | 169 | The contents of the cell are evaluated using rpy2 with stdout |
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172 | 170 | and graphics being captured and returned in the output of the cell. |
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173 | 171 | |
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174 | 172 | Parameters |
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175 | 173 | ---------- |
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176 | 174 | |
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177 | 175 | line: {input, output, width, height, units, pointsize, bg} |
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178 | 176 | |
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179 | 177 | Optional long arguments recognized by the cell magic. |
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180 | 178 | The first two relate to passing python objects |
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181 | 179 | back and forth between rpy2 and python: |
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182 | 180 | '--input' should be a comma separated list of |
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183 | 181 | names of objects in the namespace of the shell; |
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184 | 182 | '--output' are names of object in the R namespace |
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185 | 183 | that are returned as arrays. |
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186 | 184 | |
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187 | 185 | All other line are passed as arguments to |
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188 | 186 | the png plotting device in R. |
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189 | 187 | |
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190 | 188 | cell: str |
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191 | 189 | |
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192 | 190 | String of R code to be executed by rpy2. |
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193 | 191 | Anything written to stdout of R is captured, |
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194 | 192 | as are plots (in the form of .png files) that |
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195 | 193 | are published via ipython's frontend |
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196 | 194 | publishing system. |
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197 | 195 | |
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198 | 196 | ''' |
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199 | 197 | # need to get the ipython instance for assigning |
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200 | 198 | |
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201 | 199 | args = parse_argstring(self.R, line) |
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202 | 200 | |
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203 | 201 | if args.input: |
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204 | 202 | for input in ','.join(args.input).split(','): |
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205 | 203 | self.r.assign(input, self.pyconverter(self.shell.user_ns[input])) |
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206 | 204 | |
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207 | 205 | png_argdict = dict([(n, getattr(args, n)) for n in ['units', 'height', 'width', 'bg', 'pointsize']]) |
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208 | 206 | png_args = ','.join(['%s=%s' % (o,v) for o, v in png_argdict.items() if v is not None]) |
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209 | 207 | # execute the R code in a temporary directory |
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210 | 208 | |
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211 | 209 | tmpd = tempfile.mkdtemp() |
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212 | 210 | self.r('png("%s/Rplots%%03d.png",%s)' % (tmpd, png_args)) |
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213 | 211 | lines = cell.split('\n') |
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214 | 212 | [self.eval(line) for line in lines] |
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215 | 213 | self.r('dev.off()') |
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216 | 214 | |
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217 | 215 | # read out all the saved .png files |
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218 | 216 | |
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219 | 217 | images = [file(imgfile).read() for imgfile in glob("%s/Rplots*png" % tmpd)] |
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220 | 218 | |
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221 | 219 | # now publish the images |
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222 | 220 | # mimicking IPython/zmq/pylab/backend_inline.py |
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223 | 221 | fmt = 'png' |
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224 | 222 | mimetypes = { 'png' : 'image/png', 'svg' : 'image/svg+xml' } |
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225 | 223 | mime = mimetypes[fmt] |
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226 | 224 | |
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227 | 225 | # publish the printed R objects, if any |
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228 | 226 | publish_display_data('Rmagic.cell_magic', {'text/plain':self.flush()}) |
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229 | 227 | |
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230 | 228 | # flush text streams before sending figures, helps a little with output |
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231 | 229 | for image in images: |
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232 | 230 | # synchronization in the console (though it's a bandaid, not a real sln) |
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233 | 231 | sys.stdout.flush(); sys.stderr.flush() |
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234 | 232 | publish_display_data( |
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235 | 233 | 'Rmagic.cell_magic', |
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236 | 234 | {mime : image} |
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237 | 235 | ) |
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238 | 236 | value = {} |
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239 | 237 | |
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240 | 238 | # try to turn every output into a numpy array |
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241 | 239 | # this means that output are assumed to be castable |
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242 | 240 | # as numpy arrays |
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243 | 241 | |
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244 | 242 | if args.output: |
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245 | 243 | for output in ','.join(args.output).split(','): |
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246 | 244 | # with self.shell, we assign the values to variables in the shell |
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247 | 245 | self.shell.push({output:self.Rconverter(self.r(output))}) |
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248 | 246 | |
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249 | 247 | # kill the temporary directory |
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250 | 248 | rmtree(tmpd) |
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251 | 249 | |
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252 | 250 | |
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253 | 251 | _loaded = False |
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254 | 252 | def load_ipython_extension(ip): |
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255 | 253 | """Load the extension in IPython.""" |
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256 | 254 | global _loaded |
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257 | 255 | if not _loaded: |
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258 | 256 | ip.register_magics(RMagics) |
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259 | 257 | _loaded = True |
@@ -1,323 +1,326 b'' | |||
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1 | 1 | { |
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2 | 2 | "metadata": { |
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3 | 3 | "name": "rmagic_extension" |
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4 | 4 | }, |
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5 | 5 | "nbformat": 3, |
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6 | 6 | "worksheets": [ |
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7 | 7 | { |
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8 | 8 | "cells": [ |
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9 | 9 | { |
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10 | 10 | "cell_type": "heading", |
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11 | 11 | "level": 1, |
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12 | 12 | "source": [ |
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13 | 13 | "Rmagic Functions Extension" |
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14 | 14 | ] |
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15 | 15 | }, |
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16 | 16 | { |
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17 | 17 | "cell_type": "heading", |
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18 | 18 | "level": 2, |
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19 | 19 | "source": [ |
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20 | 20 | "Line magics" |
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21 | 21 | ] |
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22 | 22 | }, |
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23 | 23 | { |
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24 | 24 | "cell_type": "markdown", |
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25 | 25 | "source": [ |
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26 | 26 | "IPython has an `rmagic` extension that contains a some magic functions for working with R via rpy2. This extension can be loaded using the `%load_ext` magic as follows:" |
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27 | 27 | ] |
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28 | 28 | }, |
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29 | 29 | { |
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30 | 30 | "cell_type": "code", |
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31 | 31 | "collapsed": true, |
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32 | 32 | "input": [ |
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33 | 33 | "%load_ext rmagic", |
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34 | 34 | " " |
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35 | 35 | ], |
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36 | 36 | "language": "python", |
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37 | 37 | "outputs": [], |
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38 |
"prompt_number": |
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38 | "prompt_number": 1 | |
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39 | 39 | }, |
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40 | 40 | { |
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41 | 41 | "cell_type": "markdown", |
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42 | 42 | "source": [ |
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43 | 43 | "A typical use case one imagines is having some numpy arrays, wanting to compute some statistics of interest on these", |
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44 | 44 | " arrays and return the result back to python. Let's suppose we just want to fit a simple linear model to a scatterplot." |
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45 | 45 | ] |
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46 | 46 | }, |
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47 | 47 | { |
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48 | 48 | "cell_type": "code", |
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49 | 49 | "collapsed": false, |
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50 | 50 | "input": [ |
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51 | 51 | "import numpy as np", |
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52 | 52 | "import pylab", |
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53 | 53 | "X = np.array([0,1,2,3,4])", |
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54 | 54 | "Y = np.array([3,5,4,6,7])", |
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55 | 55 | "pylab.scatter(X, Y)", |
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56 | 56 | "" |
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57 | 57 | ], |
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58 | 58 | "language": "python", |
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59 | 59 | "outputs": [ |
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60 | 60 | { |
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61 | 61 | "output_type": "pyout", |
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62 |
"prompt_number": 2 |
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62 | "prompt_number": 12, | |
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63 | 63 | "text": [ |
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64 |
"<matplotlib.collections.PathCollection at 0x10b |
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64 | "<matplotlib.collections.PathCollection at 0x10b9747d0>" | |
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65 | 65 | ] |
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66 | 66 | }, |
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67 | 67 | { |
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68 | 68 | "output_type": "display_data", |
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69 | 69 | "png": 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|
|
70 | 70 | } |
|
71 | 71 | ], |
|
72 |
"prompt_number": 2 |
|
|
72 | "prompt_number": 12 | |
|
73 | 73 | }, |
|
74 | 74 | { |
|
75 | 75 | "cell_type": "markdown", |
|
76 | 76 | "source": [ |
|
77 | 77 | "We can accomplish this by first pushing variables to R, fitting a model and returning the results." |
|
78 | 78 | ] |
|
79 | 79 | }, |
|
80 | 80 | { |
|
81 | 81 | "cell_type": "code", |
|
82 | 82 | "collapsed": false, |
|
83 | 83 | "input": [ |
|
84 | 84 | "%Rpush X Y", |
|
85 | 85 | "%Rinline lm(Y~X)$coef" |
|
86 | 86 | ], |
|
87 | 87 | "language": "python", |
|
88 | 88 | "outputs": [ |
|
89 | 89 | { |
|
90 | 90 | "output_type": "pyout", |
|
91 |
"prompt_number": |
|
|
91 | "prompt_number": 15, | |
|
92 | 92 | "text": [ |
|
93 |
"array([ |
|
|
93 | "array([-0.2, 0.9, -1. , 0.1, 0.2])" | |
|
94 | 94 | ] |
|
95 | 95 | } |
|
96 | 96 | ], |
|
97 |
"prompt_number": |
|
|
97 | "prompt_number": 15 | |
|
98 | 98 | }, |
|
99 | 99 | { |
|
100 | 100 | "cell_type": "markdown", |
|
101 | 101 | "source": [ |
|
102 | 102 | "We can check that this is correct fairly easily:" |
|
103 | 103 | ] |
|
104 | 104 | }, |
|
105 | 105 | { |
|
106 | 106 | "cell_type": "code", |
|
107 | 107 | "collapsed": false, |
|
108 | 108 | "input": [ |
|
109 | 109 | "Xr = X - X.mean(); Yr = Y - Y.mean()", |
|
110 | 110 | "slope = (Xr*Yr).sum() / (Xr**2).sum()", |
|
111 | 111 | "intercept = Y.mean() - X.mean() * slope", |
|
112 | 112 | "(intercept, slope)" |
|
113 | 113 | ], |
|
114 | 114 | "language": "python", |
|
115 | 115 | "outputs": [ |
|
116 | 116 | { |
|
117 | 117 | "output_type": "pyout", |
|
118 |
"prompt_number": |
|
|
118 | "prompt_number": 14, | |
|
119 | 119 | "text": [ |
|
120 | 120 | "(3.2000000000000002, 0.90000000000000002)" |
|
121 | 121 | ] |
|
122 | 122 | } |
|
123 | 123 | ], |
|
124 |
"prompt_number": |
|
|
124 | "prompt_number": 14 | |
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125 | 125 | }, |
|
126 | 126 | { |
|
127 | 127 | "cell_type": "markdown", |
|
128 | 128 | "source": [ |
|
129 | 129 | "There is one more line magic, %Rpull which assumes that some R code has been executed and there are variables", |
|
130 | 130 | "in the rpy2 namespace that one would like to export to the python namespace. See below for an example." |
|
131 | 131 | ] |
|
132 | 132 | }, |
|
133 | 133 | { |
|
134 | 134 | "cell_type": "heading", |
|
135 | 135 | "level": 2, |
|
136 | 136 | "source": [ |
|
137 | 137 | "Cell level magic" |
|
138 | 138 | ] |
|
139 | 139 | }, |
|
140 | 140 | { |
|
141 | 141 | "cell_type": "markdown", |
|
142 | 142 | "source": [ |
|
143 | 143 | "For the cell level magic, inputs can be passed via the -i or --inputs argument in the line. These variables are copied ", |
|
144 | 144 | "from the shell namespace to R's namespace. It would be nice not to have to copy these -- rnumpy ( http://bitbucket.org/njs/rnumpy/wiki/API ) has done some work to limit or at least make transparent the number of copies of an array. This seems like a natural thing to try to build on. Arrays can be output from R via the -o or --outputs argument in the line. All other arguments are sent to R's png function, which is the graphics device used to create the plots.", |
|
145 | 145 | "", |
|
146 | 146 | "We can redo the above calculations in one ipython cell. We might also want to add some output such as a summary", |
|
147 | 147 | " from R or perhaps the standard plotting diagnostics of the lm." |
|
148 | 148 | ] |
|
149 | 149 | }, |
|
150 | 150 | { |
|
151 | 151 | "cell_type": "code", |
|
152 | 152 | "collapsed": false, |
|
153 | 153 | "input": [ |
|
154 | 154 | "%%R -i X,Y -o XYcoef", |
|
155 | 155 | "XYlm = lm(Y~X)", |
|
156 | 156 | "XYcoef = coef(XYlm)", |
|
157 | 157 | "print(summary(XYlm))", |
|
158 | 158 | "par(mfrow=c(2,2))", |
|
159 | 159 | "plot(XYlm)" |
|
160 | 160 | ], |
|
161 | 161 | "language": "python", |
|
162 | 162 | "outputs": [ |
|
163 | 163 | { |
|
164 | 164 | "output_type": "display_data", |
|
165 | 165 | "text": [ |
|
166 | 166 | "", |
|
167 | 167 | "Call:", |
|
168 | 168 | "lm(formula = Y ~ X)", |
|
169 | 169 | "", |
|
170 | 170 | "Residuals:", |
|
171 |
" |
|
|
172 | "-1.96237 -0.61663 -0.00429 0.65777 2.32413 ", | |
|
171 | " 1 2 3 4 5 ", | |
|
172 | "-0.2 0.9 -1.0 0.1 0.2 ", | |
|
173 | 173 | "", |
|
174 | 174 | "Coefficients:", |
|
175 |
" |
|
|
176 |
"(Intercept) |
|
|
177 | "X1 0.004199 0.094165 0.045 0.96453 ", | |
|
178 | "X2 -0.073072 0.113738 -0.642 0.52222 ", | |
|
179 | "X3 0.023679 0.111375 0.213 0.83212 ", | |
|
180 | "X4 -0.027820 0.119539 -0.233 0.81651 ", | |
|
181 | "X5 0.027729 0.107063 0.259 0.79624 ", | |
|
182 | "X6 -0.228168 0.106485 -2.143 0.03487 * ", | |
|
183 | "X7 0.121276 0.108748 1.115 0.26777 ", | |
|
184 | "X8 0.109123 0.117501 0.929 0.35556 ", | |
|
185 | "X9 -0.304313 0.112143 -2.714 0.00799 **", | |
|
186 | "X10 -0.205212 0.111994 -1.832 0.07024 . ", | |
|
175 | " Estimate Std. Error t value Pr(>|t|) ", | |
|
176 | "(Intercept) 3.2000 0.6164 5.191 0.0139 *", | |
|
177 | "X 0.9000 0.2517 3.576 0.0374 *", | |
|
187 | 178 | "---", |
|
188 | 179 | "Signif. codes: 0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1 ", |
|
189 | 180 | "", |
|
190 |
"Residual standard error: |
|
|
191 |
"Multiple R-squared: 0.1 |
|
|
192 |
"F-statistic: |
|
|
181 | "Residual standard error: 0.7958 on 3 degrees of freedom", | |
|
182 | "Multiple R-squared: 0.81,\tAdjusted R-squared: 0.7467 ", | |
|
183 | "F-statistic: 12.79 on 1 and 3 DF, p-value: 0.03739 ", | |
|
193 | 184 | "", |
|
194 | 185 | "" |
|
195 | 186 | ] |
|
196 | 187 | }, |
|
197 | 188 | { |
|
198 | 189 | "output_type": "display_data", |
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199 | "png": 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l95CQEBISEjh27BhKSkpfTYPR0iQScAkZPXo0pqamzJw5E4CePXuyefNmUlJSkEqluLi4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\n" 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190 | "png": 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ff28o7sePHyc0NJT9+/djYWGRbzqMmpMUYBMZPXo0lStXZurUqQB069aNtWvX8uDBA1RV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\n" | |
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200 | 191 | } |
|
201 | 192 | ], |
|
202 |
"prompt_number": |
|
|
193 | "prompt_number": 5 | |
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203 | 194 | }, |
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204 | 195 | { |
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205 | 196 | "cell_type": "markdown", |
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206 | 197 | "source": [ |
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207 | 198 | "Often, we will want to do more than a simple linear regression model. There may be several lines of R code that we want to ", |
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208 | 199 | "use before returning to python. This is the cell-level magic.", |
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209 | 200 | "", |
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210 | 201 | "In this example, we will generate some random data, fit a LASSO model using the lars package and plot the results, returning the array of coefficients. This example assumes that the *lars* package is installed in R." |
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211 | 202 | ] |
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212 | 203 | }, |
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213 | 204 | { |
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214 | 205 | "cell_type": "code", |
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215 | 206 | "collapsed": true, |
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216 | 207 | "input": [ |
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217 | 208 | "X = np.random.standard_normal((100,10))", |
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218 | 209 | "Y = np.random.standard_normal((100,1))" |
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219 | 210 | ], |
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220 | 211 | "language": "python", |
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221 | 212 | "outputs": [], |
|
222 |
"prompt_number": |
|
|
213 | "prompt_number": 6 | |
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223 | 214 | }, |
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224 | 215 | { |
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225 | 216 | "cell_type": "code", |
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226 | 217 | "collapsed": false, |
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227 | 218 | "input": [ |
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228 | 219 | "%%R -i X,Y -o larscoef", |
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229 | 220 | "library(lars)", |
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230 | 221 | "larsobj = lars(X, Y)", |
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231 | 222 | "plot(larsobj)", |
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232 | 223 | "larscoef = coef(larsobj)", |
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233 | 224 | "larspred = predict(larsobj, s=seq(0,1,length=101), mode='fraction')", |
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234 | 225 | "lcoef = larspred$coefficients", |
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235 | 226 | "lfrac = larspred$fraction" |
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236 | 227 | ], |
|
237 | 228 | "language": "python", |
|
238 | 229 | "outputs": [ |
|
239 | 230 | { |
|
240 | 231 | "output_type": "display_data", |
|
241 | 232 | "text": [ |
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233 | "Loaded lars 1.1", | |
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234 | "", | |
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242 | 235 | "Warning message:", |
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243 | 236 | "In predict.lars(larsobj, s = seq(0, 1, length = 101), mode = \"fraction\") :", |
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244 | 237 | " Type=fit with no newx argument; type switched to coefficients", |
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245 | 238 | "" |
|
246 | 239 | ] |
|
247 | 240 | }, |
|
248 | 241 | { |
|
249 | 242 | "output_type": "display_data", |
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250 | "png": 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lypXqwQcfVJs2bVKbNm1SQUFBavr06erixYua5LlbqampytHRsUpd/7x48aIC1NmzZy2v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\njXt6Y4weqa87O+cnX1GzqKwsVEwM6pMNcPkyKi6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sXf6yq46Ojvj5+f3pHvuBAwe4dOkS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\n0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Xc1mZmZlMnTqVAQMGsGXLFo4ePcqZM2eIjY3Vu7QK/P39sVqtzJo1C39/f4YNG0ZMTAzb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\nAABJRU5ErkJggg==\n" | |
|
251 | 244 | } |
|
252 | 245 | ], |
|
253 |
"prompt_number": 7 |
|
|
246 | "prompt_number": 7 | |
|
254 | 247 | }, |
|
255 | 248 | { |
|
256 | 249 | "cell_type": "code", |
|
257 | 250 | "collapsed": false, |
|
258 | 251 | "input": [ |
|
259 | 252 | "larscoef.shape" |
|
260 | 253 | ], |
|
261 | 254 | "language": "python", |
|
262 | 255 | "outputs": [ |
|
263 | 256 | { |
|
264 | 257 | "output_type": "pyout", |
|
265 |
"prompt_number": |
|
|
258 | "prompt_number": 8, | |
|
266 | 259 | "text": [ |
|
267 | 260 | "(11, 10)" |
|
268 | 261 | ] |
|
269 | 262 | } |
|
270 | 263 | ], |
|
271 |
"prompt_number": |
|
|
264 | "prompt_number": 8 | |
|
272 | 265 | }, |
|
273 | 266 | { |
|
274 | 267 | "cell_type": "heading", |
|
275 | 268 | "level": 3, |
|
276 | 269 | "source": [ |
|
277 | 270 | "Using Rpull" |
|
278 | 271 | ] |
|
279 | 272 | }, |
|
280 | 273 | { |
|
281 | 274 | "cell_type": "code", |
|
282 | 275 | "collapsed": false, |
|
283 | 276 | "input": [ |
|
284 | 277 | "%Rpull lcoef lfrac", |
|
285 | 278 | "f = [pylab.plot(lfrac, c) for c in lcoef.T]" |
|
286 | 279 | ], |
|
287 | 280 | "language": "python", |
|
288 | 281 | "outputs": [ |
|
289 | 282 | { |
|
290 | 283 | "output_type": "display_data", |
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291 | "png": 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OpaeHdfVcugRcvMgujYdCYarwjYex4qfzadsfhcJd6lB34LUfXsPn5z/Hlvlb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\nrkJggg==\n" 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P+QwnbcMYd/r//jfw3Xd8uLoCCxfyMX+++b7AxDhguuLXNAIwFH5NUz92Kvza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\nA4rmRchQRSV5AAAAAElFTkSuQmCC\n" | |
|
292 | 285 | } |
|
293 | 286 | ], |
|
294 |
"prompt_number": |
|
|
287 | "prompt_number": 9 | |
|
295 | 288 | }, |
|
296 | 289 | { |
|
297 | 290 | "cell_type": "heading", |
|
298 | 291 | "level": 2, |
|
299 | 292 | "source": [ |
|
300 | 293 | "Passing data back and forth" |
|
301 | 294 | ] |
|
302 | 295 | }, |
|
303 | 296 | { |
|
304 | 297 | "cell_type": "markdown", |
|
305 | 298 | "source": [ |
|
306 | 299 | "Currently, data is passed through RMagics.pyconverter when going from python to R and RMagics.Rconverter when ", |
|
307 | 300 | "going from R to python. These currently default to numpy.ndarray. Future work will involve writing better converters, most likely involving integration with http://pandas.sourceforge.net.", |
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308 | 301 | "" |
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309 | 302 | ] |
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310 | 303 | }, |
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311 | 304 | { |
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312 | 305 | "cell_type": "code", |
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313 | 306 | "collapsed": true, |
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314 | 307 | "input": [ |
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315 | 308 | "" |
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316 | 309 | ], |
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317 | 310 | "language": "python", |
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311 | "outputs": [], | |
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312 | "prompt_number": 9 | |
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313 | }, | |
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314 | { | |
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315 | "cell_type": "code", | |
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316 | "collapsed": true, | |
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317 | "input": [ | |
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318 | "" | |
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319 | ], | |
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320 | "language": "python", | |
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318 | 321 | "outputs": [] |
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319 | 322 | } |
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320 | 323 | ] |
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321 | 324 | } |
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322 | 325 | ] |
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323 | 326 | } No newline at end of file |
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