edited notebook, removing lars dependency, added structured array example

docs/examples/notebooks/rmagic_extension.ipynb

@@ -61,7 +61,7 b''
        "output_type": "pyout",
        "prompt_number": 2,
        "text": [
-        "<matplotlib.collections.PathCollection at 0x7cb0830>"
+        "<matplotlib.collections.PathCollection at 0x10f8a0b50>"
        ]
       }
      ],
@@ -154,8 +154,9 b''
     {
      "cell_type": "markdown",
      "source": [
-      "There is one more line magic, %Rpull which assumes that some R code has been executed and there are variables",
-      "in the rpy2 namespace that one would like to export to the python namespace. Imagine we've stored the results",
+      "There are two more line magics, %Rpull and %Rget. Both are useful after some R code has been executed and there are variables",
+      "in the rpy2 namespace that one would like to retrieve. The main difference is that one",
+      " returns the value (%Rget), while the other pulls it to self.shell.user_ns (%Rpull). Imagine we've stored the results",
       "of some calculation in the variable \"a\" in rpy2's namespace. By using the %R magic, we can obtain these results and",
       "store them in b. We can also pull them directly to user_ns with %Rpull. They are both views on the same data."
      ]
@@ -244,6 +245,31 b''
      "prompt_number": 8
     },
     {
+     "cell_type": "markdown",
+     "source": [
+      "The magic %Rget retrieves one variable from R."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%Rget A"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 9,
+       "text": [
+        "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,",
+        "       17, 18, 19], dtype=int32)"
+       ]
+      }
+     ],
+     "prompt_number": 9
+    },
+    {
      "cell_type": "heading",
      "level": 2,
      "source": [
@@ -294,7 +320,7 b''
       },
       {
        "output_type": "display_data",
-       "png": 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+       "png": 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RokWLiIhYsWJFnH766bW6Rtu2baNt27b7Pde6dWuvKRegLl26xMknnxy33357TJgwIaqq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\nrkJggg==\n"
       },
       {
        "output_type": "stream",
@@ -306,7 +332,7 b''
        ]
       }
      ],
-     "prompt_number": 9
+     "prompt_number": 10
     },
     {
      "cell_type": "heading",
@@ -332,10 +358,10 b''
      "outputs": [
       {
        "output_type": "display_data",
-       "png": 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RokWLiIhYsWJFnH766bW6Rtu2baNt27b7Pde6dWuvKRegLl26xMknnxy33357TJgwIaqq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\nrkJggg==\n"
       }
      ],
-     "prompt_number": 10
+     "prompt_number": 11
     },
     {
      "cell_type": "markdown",
@@ -360,7 +386,7 b''
        ]
       }
      ],
-     "prompt_number": 11
+     "prompt_number": 12
     },
     {
      "cell_type": "markdown",
@@ -395,7 +421,34 b''
        ]
       }
      ],
-     "prompt_number": 12
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "The return value can be suppressed by adding NULL as the lart line, or an -n argument.",
+      ""
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "%R -n X"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 14
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "%R X; NULL"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 15
     },
     {
      "cell_type": "heading",
@@ -407,6 +460,10 b''
     {
      "cell_type": "markdown",
      "source": [
+      "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 ",
+      "use before returning to python. This is the cell-level magic.",
+      "",
+      "",
       "For the cell level magic, inputs can be passed via the -i or --inputs argument in the line. These variables are copied ",
       "from the shell namespace to R's namespace using rpy2.robjects.r.assign. It would be nice not to have to copy these into R: 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.",
       "",
@@ -454,102 +511,13 b''
       },
       {
        "output_type": "display_data",
-       "png": 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jQ3h4OKVKlWLLli20bt1a61hC5BlxcXFmaces526XLFkCpF23vX79OsHBwZw5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\n"
-      }
-     ],
-     "prompt_number": 13
-    },
-    {
-     "cell_type": "markdown",
-     "source": [
-      "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 ",
-      "use before returning to python. This is the cell-level magic.",
-      "",
-      "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."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": true,
-     "input": [
-      "Xrandom = np.random.standard_normal((100,10))",
-      "Yrandom = np.random.standard_normal((100,1))"
-     ],
-     "language": "python",
-     "outputs": [],
-     "prompt_number": 14
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "%%R -i Xrandom,Yrandom -o larscoef",
-      "library(lars)",
-      "larsobj = lars(Xrandom, Yrandom)",
-      "plot(larsobj)",
-      "larscoef = coef(larsobj)",
-      "larspred = predict(larsobj, s=seq(0,1,length=101), mode='fraction')",
-      "lcoef = larspred$coefficients",
-      "lfrac = larspred$fraction"
-     ],
-     "language": "python",
-     "outputs": [
-      {
-       "output_type": "display_data",
-       "text": [
-        "Loaded lars 1.1",
-        "",
-        "Warning message:",
-        "In predict.lars(larsobj, s = seq(0, 1, length = 101), mode = \"fraction\") :",
-        "  Type=fit with no newx argument; type switched to coefficients",
-        ""
-       ]
-      },
-      {
-       "output_type": "display_data",
-       "png": 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0SDQvL6NLEkKUIAlgIUoBlZWF+u13TPd0sm4zjR6JVqOGcUUJIW4rCWAhDKSO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\n"
-      }
-     ],
-     "prompt_number": 15
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "larscoef.shape"
-     ],
-     "language": "python",
-     "outputs": [
-      {
-       "output_type": "pyout",
-       "prompt_number": 16,
-       "text": [
-        "(11, 10)"
-       ]
+       "png": 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4+BAeHk6pUqXYsmULrVu31jqWEHlGXFycWdox67nbJUuWAGnXba9fv05wcDBn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\n"
       }
      ],
      "prompt_number": 16
     },
     {
      "cell_type": "heading",
-     "level": 3,
-     "source": [
-      "Using Rpull"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "%Rpull lcoef lfrac",
-      "f = [pylab.plot(lfrac, c) for c in lcoef.T]"
-     ],
-     "language": "python",
-     "outputs": [],
-     "prompt_number": 17
-    },
-    {
-     "cell_type": "heading",
      "level": 2,
      "source": [
       "Passing data back and forth"
@@ -573,7 +541,7 b''
      ],
      "language": "python",
      "outputs": [],
-     "prompt_number": 18
+     "prompt_number": 17
     },
     {
      "cell_type": "code",
@@ -593,7 +561,7 b''
        ]
       }
      ],
-     "prompt_number": 19
+     "prompt_number": 18
     },
     {
      "cell_type": "code",
@@ -606,13 +574,13 b''
      "outputs": [
       {
        "output_type": "pyout",
-       "prompt_number": 20,
+       "prompt_number": 19,
        "text": [
-        "array([0, 1, 0, 3, 0, 5, 0, 7, 0, 9, 0, 1, 0, 3, 0, 5, 0, 7, 0, 9])"
+        "array([0, 1, 0, 3, 0, 5, 0, 7, 0, 9, 0, 1, 0, 3, 0, 5, 0, 7, 0, 9], dtype=int32)"
        ]
       }
      ],
-     "prompt_number": 20
+     "prompt_number": 19
     },
     {
      "cell_type": "code",
@@ -631,7 +599,7 b''
        ]
       }
      ],
-     "prompt_number": 21
+     "prompt_number": 20
     },
     {
      "cell_type": "markdown",
@@ -656,7 +624,7 b''
        ]
       }
      ],
-     "prompt_number": 22
+     "prompt_number": 21
     },
     {
      "cell_type": "markdown",
@@ -696,7 +664,7 b''
        ]
       }
      ],
-     "prompt_number": 23
+     "prompt_number": 22
     },
     {
      "cell_type": "heading",
@@ -716,37 +684,186 b''
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "%R -n nosuchvar"
+      "try:",
+      "    %R -n nosuchvar",
+      "except Exception as e:",
+      "    print e.message",
+      "    pass"
      ],
      "language": "python",
      "outputs": [
       {
-       "ename": "RMagicError",
-       "evalue": "parsing and evaluating line \"nosuchvar\". R traceback: \"Error in eval(expr, envir, enclos) : object 'nosuchvar' not found\n\"\n",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mRMagicError\u001b[0m                               Traceback (most recent call last)",
-        "\u001b[0;32m<ipython-input-24-cc3bf7fec426>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'R -n nosuchvar'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-        "\u001b[0;32m/Users/jonathantaylor/ipython/IPython/core/interactiveshell.pyc\u001b[0m in \u001b[0;36mmagic\u001b[0;34m(self, arg_s)\u001b[0m\n\u001b[1;32m   2129\u001b[0m         \u001b[0mmagic_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmagic_arg_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marg_s\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpartition\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[1;32m   2130\u001b[0m         \u001b[0mmagic_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmagic_name\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlstrip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprefilter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mESC_MAGIC\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2131\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmagic_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmagic_arg_s\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2133\u001b[0m     \u001b[0;31m#-------------------------------------------------------------------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m/Users/jonathantaylor/ipython/IPython/core/interactiveshell.pyc\u001b[0m in \u001b[0;36mrun_line_magic\u001b[0;34m(self, magic_name, line)\u001b[0m\n\u001b[1;32m   2055\u001b[0m                 \u001b[0margs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getframe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstack_depth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf_locals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2056\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuiltin_trap\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2057\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2058\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2059\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m/Users/jonathantaylor/ipython/IPython/extensions/rmagic.pyc\u001b[0m in \u001b[0;36mR\u001b[0;34m(self, line, cell)\u001b[0m\n",
-        "\u001b[0;32m/Users/jonathantaylor/ipython/IPython/core/magic.pyc\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(f, *a, **k)\u001b[0m\n\u001b[1;32m    188\u001b[0m     \u001b[0;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    189\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 190\u001b[0;31m         \u001b[0mcall\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcallable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m/Users/jonathantaylor/ipython/IPython/extensions/rmagic.pyc\u001b[0m in \u001b[0;36mR\u001b[0;34m(self, line, cell)\u001b[0m\n\u001b[1;32m    330\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mline_mode\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    331\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\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[0;32m--> 332\u001b[0;31m                 \u001b[0mtext_result\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    333\u001b[0m                 \u001b[0mtext_output\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mtext_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    334\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mtext_result\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;32m/Users/jonathantaylor/ipython/IPython/extensions/rmagic.pyc\u001b[0m in \u001b[0;36meval\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m    107\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mri\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRRuntimeError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexception\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    108\u001b[0m             raise RMagicError(unicode_to_str('parsing and evaluating line \"%s\". R traceback: \"%s\"\\n' %\n\u001b[0;32m--> 109\u001b[0;31m                                              (line, str_to_unicode(exception.message, 'utf-8'))))\n\u001b[0m\u001b[1;32m    110\u001b[0m         \u001b[0mtext_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflush\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    111\u001b[0m         \u001b[0mri\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_writeconsole\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mold_writeconsole\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-        "\u001b[0;31mRMagicError\u001b[0m: parsing and evaluating line \"nosuchvar\". R traceback: \"Error in eval(expr, envir, enclos) : object 'nosuchvar' not found\n\"\n"
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "parsing and evaluating line \"nosuchvar\". R traceback: \"Error in eval(expr, envir, enclos) : object 'nosuchvar' not found",
+        "\"",
+        "",
+        ""
        ]
       }
      ],
+     "prompt_number": 23
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "source": [
+      "Structured arrays and data frames",
+      ""
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "In R, data frames play an important role as they allow array-like objects of mixed type with column names (and row names). In bumpy, the closest analogy is a structured array with named fields. In future work, it would be nice to use pandas to return full-fledged DataFrames from rpy2. In the mean time, structured arrays can be passed back and forth with the -d flag to %R, %Rpull, and %Rget"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "datapy= np.array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')],",
+      "          dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])",
+      ""
+     ],
+     "language": "python",
+     "outputs": [],
      "prompt_number": 24
     },
     {
      "cell_type": "code",
      "collapsed": true,
      "input": [
+      "%%R -i datapy -d datar",
+      "datar = datapy"
+     ],
+     "language": "python",
+     "outputs": [],
+     "prompt_number": 25
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "datar"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 26,
+       "text": [
+        "array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')], ",
+        "      dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])"
+       ]
+      }
+     ],
+     "prompt_number": 26
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%R datar2 = datapy",
+      "%Rpull -d datar2",
+      "datar2"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 27,
+       "text": [
+        "array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')], ",
+        "      dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])"
+       ]
+      }
+     ],
+     "prompt_number": 27
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%Rget -d datar2"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 28,
+       "text": [
+        "array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')], ",
+        "      dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])"
+       ]
+      }
+     ],
+     "prompt_number": 28
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "For arrays without names, the -d argument has no effect because the R object has no colnames or names."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "Z = np.arange(6)",
+      "%R -i Z",
+      "%Rget -d Z"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 29,
+       "text": [
+        "array([0, 1, 2, 3, 4, 5], dtype=int32)"
+       ]
+      }
+     ],
+     "prompt_number": 29
+    },
+    {
+     "cell_type": "markdown",
+     "source": [
+      "For mixed-type data frames in R, if the -d flag is not used, then an array of a single type is returned and",
+      "its value is transposed. This would be nice to fix, but it seems something that should be fixed at the rpy2 level (See: https://bitbucket.org/lgautier/rpy2/issue/44/numpyrecarray-as-dataframe)"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%Rget datar2"
+     ],
+     "language": "python",
+     "outputs": [
+      {
+       "output_type": "pyout",
+       "prompt_number": 30,
+       "text": [
+        "array([['1', '2', '3'],",
+        "       ['2', '3', '2'],",
+        "       ['a', 'b', 'c']], ",
+        "      dtype='|S1')"
+       ]
+      }
+     ],
+     "prompt_number": 30
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
       ""
      ],
      "language": "python",
-     "outputs": []
+     "outputs": [],
+     "prompt_number": 30
     }
    ]
   }