calling_R_from_Python/plot_from_R_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For an article on A/B testing that I am preparing, I asked my partner Dr. Nina Zumel if she could do me a favor and write some code to produce the diagrams. She prepared [an excellent parameterized diagram generator](https://github.com/WinVector/Examples/blob/main/calling_R_from_Python/significance_power_visuals.R). However being the author of the book [Practical Data Science with R](https://www.manning.com/books/practical-data-science-with-r-second-edition), she built it in [`R`](https://www.r-project.org) using [ggplot2](https://CRAN.R-project.org/package=ggplot2). This would be great, except the A/B testing article is being developed in Python, as it targets programmers familiar with Python.\n",
    "\n",
    "As the production of the diagrams is not part of the proposed article, I decided to use the [`rpy2` package](https://rpy2.github.io) to integrate the `R` diagrams directly into the new worksheet. Alternatively, I could translate her code into Python using one of: [Seaborn objects](https://seaborn.pydata.org/tutorial/objects_interface.html), [plotnine](https://plotnine.readthedocs.io/en/v0.12.3/), [ggpy](https://github.com/yhat/ggpy), or others. The large number of options is evidence of how influential Leland Wilkinson's grammar of graphics (gg) is. \n",
    "\n",
    "Let's try the `rpy2` approach.\n",
    "\n",
    "For our example we import our modules, including a small adaptor I wrote called [`r_tools`](https://github.com/WinVector/Examples/blob/main/calling_R_from_Python/r_tools.py)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import our modules\n",
    "import numpy as np\n",
    "from IPython.display import Code, display, Image\n",
    "from rpy2 import robjects\n",
    "from r_tools import get_ggplot_fn_by_name\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now all we have to do use her code is:\n",
    "\n",
    "  1) Source her `.R` file to load the function.\n",
    "  2) Get a reference to the diagram producing function.\n",
    "\n",
    "This is done as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read the .R file into the R interpreter environment\n",
    "robjects.r(\"source('significance_power_visuals.R')\")\n",
    "# get a Python reference to the sig_pow_visuals R function\n",
    "sig_pow_visuals = get_ggplot_fn_by_name(\"sig_pow_visuals\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use the diagram code. What the A/B testing diagram is and how to pick the arguments will be the content of our later article. The thing to notice now is: we generate the diagram from the `R` code, working in `Python`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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1k08+OYxff/31b775pt60xx57LIx//OMf19qbqfHX1NSES7YWFhYec8wxqdsZOHBgg32l1vQ9ZkpzXTPZ6zcWix111FEp9hYVFbVq1SqIt2/fHu0iTLgAAA8ISURBVFasY7FYPB5/5JFHws3EtUbrdcIJJ4Rx4t3JWT07AADYsykQAgAAGbZmzZpNmzYF8aBBg1q2bNngIaWlpWH8l7/8JVnaqaee2mBT3bt3D+MPP/wwsSwRi8US15z8j//4j2CVzgbbrGXy5MlhPGjQoAbz+/btG8Z//etfU2Qmvg/12meffYYPHx5u1vteVVVV/eEPfwjitm3b1q3iZGr8y5cvr6ysDOIRI0bUus+yrpYtWyY+PrARmr7HTGmuayZ7/RYWFhYXF6durXXr1mGc+C9x7dq14RTRvn37jh07pm5n9OjR4e28iUXf7J0dAADs8RQIAQCADEu8xefEE09M55B27dqF8fLly2tV9UKJxb9kCgsLu3XrFm7Wuscu8cmCweZhhx32xBNPJK5bmNqOHTvC2kYsFmuwthGLxQ455JAwnjdvXrK0goKCBisusVjsqquuCuN6b5F89913Kyoqgviaa66pVUXL4Pg/+uijMC4rK2uwndg/Vmgaoel7zIjmumay128sFjvwwAMbbC1ZBTfx8YTHHntsg+3UK6tnBwAAezwFQgAAIMNWrFgRxr169UrnkPz8/DZt2oSbyZ4O2KlTp3Ra69mzZxhv3rw5cVffvn3Hjh2b+MqSJUvOPvvsTp06de7c+dprr33zzTe3b9+eovGNGzeGcUlJSYsWLRocT+J9VImlkVrSudUy9o/rMT711FPhHXWhqVOnhvG5555ba28Gx798+fIw7tq1a4PtxNIr8abQ9D1mRHNdM9nrNxaL7bvvvg22lkxiy0cccUTjGsnq2QEAwB6v4S/QAAAA38knn3wSxvvvv3+aR3Xo0CGsC4Y3wNWy1157pdNUYh1x586dtfZOmTKlZcuWv//972u9vn79+rvuuuuuu+6KxWIjR4688sorhw4dWrfq8MUXX4Txt99+W1RU1OB4Em+ITDy8cVq1ajV69OhnnnkmFotVV1e/++67AwYMSOwrXHexa9euPXr0qHV4BsefWK7bb7/90hl8+/bt00lLpul7zIjmumay2m9BQUHjRhVr7BRRS7P/SwQAgN2aOwgBAIAMS1zVs6SkJM2jqqurw7jBZ8ullpeXV28cNj5p0qQPPvjgvPPOS9bCCy+8cMIJJ+y///4vvfRSrV217i+sTEPiqdXU1CRbQDV9l112WRg/+eSTibvef//9b7/9NojHjx9f99gMjn/r1q3h6+ncv5V+WjJN32NGNNc1kwvXar2+/vrrMG7btm3jGsnZswMAgN2CAiEAAJATEp8CmOxmoKqqqnSaSqxQJluDsU+fPo899tjXX3/9pz/96ayzziosLKybs2nTplNOOSVxxc7Yrt04Fdj1ssSxxx4bDmPKlCnxeDzc9dRTT4Xx6NGj6x6bwfEn1t4SSy8p7NixY1e6bvoeM6K5rplcuFYbbLZuCT9NOXt2AACwW1AgBAAAMmyfffYJ4y1btqRzSFVVVXl5ebiZ+KiwRIk3kKXw6aefhnHqJ6Xtvffep5122rRp08rLy5csWXLfffd973vfq5Vz7rnnJp5F4tgGDhwY/+52/Z62oqKiMWPGBPHWrVuXLl0axPF4fNKkSUF8zDHH1Lt4YwbH36FDh7CpxPpuCqtXr/7up/v/NX2PGdFc10wuXKsNDiyxnN/oRnLq7AAAYLegQAgAAGRYz549w/jzzz9P55CvvvoqjLt3757spqK1a9em01rik+patWqVziH5+fm9evW6/PLLFy1atHr16quuuipx7xNPPBHGnTt3DuPESmQTu/jii8P4ueeeC4Jly5Zt3rw5iK+99tp6D8zg+EtLS8M4zR/0btdjRjTXNZMj12pdjZgi6srZswMAgN2CAiEAAJBh3bt3D+MFCxakc8iSJUvC+Ac/+EGytGXLljXY1LZt27Zt2xbEZWVljVjAsEuXLr/5zW8mTJgQvvLqq6+GceItiRs2bEhz1dOM69+/f7h66gMPPBAEzzzzTJhwyimn1HtgBsffo0ePMP7zn/+cziGvv/56o7trlh4zormumRy5VutKnCIWLlzYuEZy9uwAAGC3oEAIAABkWO/evcN4+vTp6Rwyc+bMMD7zzDOTpb3yyisNNvXRRx+F8dlnn51O7/W65pprwjjx/qTCwsKjjz463Fy1alWju9gVBQUFl112WRB/+umn69ati8fj9913X/DKySefvPfee9d7YAbHf8QRR4TxrFmzGnyi21dffRXe4Li79JgRzXXN5Mi1Wtdhhx0WxrNnz44nPESzXtOmTSv6u3feeSd4MWfPDgAAdgsKhAAAQIa1a9fuyCOPDOL169evWLEidX48Hn/wwQfDzbKysmSZzz//fGVlZerWHn/88TA+/vjjE3c988wzYZnh448/Tt1OYoEt8amKsVgsrMzFYrHZs2enbicWiy1dujTs99Zbb20wP00XXnhhGM+cOXPlypXr1q0LNmstkVpLpsbfsWPHcK3IioqKRYsWpW4nsQzcOE3fY6Y01zWTI9dqLe3btw9Xi62oqGjwzuA//OEPlX/Xq1ev8PXcPDsAANgtKBACAACZl1igCm9rS2bRokVffvllEI8ePTpx5cBaqqurn3/++RRN7dy5M1xvs0+fPomPrIvFYr169QrLDHPnzk09qm+++SaMBw0alLhr5MiRYTxx4sQG73+aMGFC2O8ZZ5yROjl9RxxxRNu2bYP4gQceCG/WzM/PHzJkSIoDMzj+xCcd3n333SkaicfjN998c+qO0tH0PWZEc10zOXKt1jVu3LgwnjJlSorMTZs2zZo1K4j79evXpk2bcFfOnh0AAOQ+BUIAACDzzj///PD/8e++++4Uq//F4/Errrgi3PzlL3+ZuuVLL720vLw82d477rijoqIiiG+//fZae3v37l1QUBDE99xzT+pywssvvxzGtZ7n17lz5wsuuCCI16xZ8+yzz6Zo55133nniiSeC+Jhjjklcf3UX5efnX3311UE8b968sBg2ZsyY4uLiFAdmcPwXXnhhSUlJED/22GNLly5N1s6TTz6Z+KTJRmv6HjOiua6ZHLlW67rgggvCn+Odd965adOmZJnXXXddGI8fPz5xV86eHQAA5D4FQgAAIPOKi4snTZoUbg4cOHDjxo31Zk6YMOGtt94K4h/96Ed9+vRJ3fKXX355+umnh1XARDNnzrzxxhuD+MgjjzzppJPqjurKK68M4sWLF6e45WjFihVjxowJ4m7dug0YMKBWwt13392yZcsgPuecc8LnotWyaNGi4447LtycOnVqilNrhHPOOSeMt2zZEgQ/+clPGjwwU+MvLi6+//77w81BgwZt2LChbjvz58/fledBNm+PmdJc10yOXKu1FBcX/+53vwvimpqaf/7nf965c2fdtCeffPLhhx8O4nbt2tV9QGlunh0AAOQ+BUIAACArzj333FGjRgXx+vXrDzzwwEmTJq1duzaoyZWXl7/zzjsnnnjixIkTg5wuXbo89NBDqdsM7kp8+eWXDzvssFmzZn377bexWCwej69atWrcuHEjRowI0goLC//nf/4nP7+e33d++ctftmrVKognTJhw7LHHzpkzZ8uWLcGoqqqqVqxY8fOf//zQQw/dvn17kPbCCy/k5eXVamffffcNn3lWWVnZr1+/n/3sZytXrqyurg5eWbZs2dVXX3300UeH7TzwwAOJj0/LiJ49e3bp0iXxlZKSkn79+jV4YAbHn/iD3rRp00EHHXT//fevX78+eEu/+OKLiRMnDhw4MEgIM3dF0/eYEc11zeTItVrXBRdcEFbx33vvvR49esyePTv4R11TU7Ny5crLLrvsrLPOCvNffvnlFi1a7C5nBwAAuS4OAACQHZWVlaNHj07nF5ODDz44KPDU9eabb4Zp8+fPP/LII1M3VVBQMG/evBSjavDpg4n++Mc/pmjqzTffDO9eSu2uu+5K1khhYWGQU1JSkuYbm+iOO+5I7Oj6669P/9iMjD8ej1dUVJx++ukNNjJz5szwQYmxWKyysrIR55vZHhPvWjv44IPrdpS4nu3IkSPrHUw6OaHmumYy0m/i2zVgwIAGO91///1TvPnxeLy8vHzYsGHpjGrq1KnZPjsAAIgUdxACAADZ0qJFi6eeeurBBx8sKipKkTZu3LglS5Z06tSpwQYPPPDA+fPnp6gMHX744cuXL6+7ImiisrKyJUuWHHPMMan76tmz56JFixLX8Kzr+9///sqVK4cOHZoi5+ijj37vvfd++tOfpu6u0X70ox8lboYro6YjU+MvLCycPn36rbfeWu9dm7FYrGvXrosXLz7xxBPTH1tqTd9jpjTXNZML12pdxcXFs2bNmjBhQoqcAQMGfPTRR6kXjM3NswMAgFyWF0/yyA0AAIBM2blz56xZs1555ZWZM2d+9tlneXl5Xbt2LSsrO+mkk04++eR99tnnuzb44Ycf/vGPf5wxY8ZHH31UWVnZs2fP448//pxzzhk4cGDd5UDrFY/Hly1b9sILL/z1r39duHDhqlWrqqqqOnTo0K9fv4EDB55xxhmHH354mk3FYrFly5Y988wzM2bM+Nvf/rZjx44DDzywT58+w4YNO+2003aLxQwzNf4tW7Y8+uijzz777Pz58/Pz83v16jV06NAzzzyzrKwsWSVvFzV9j5nSXNdMbl6rmzZtevrpp2fMmPHWW29t2bKlXbt2/fr1O+6440aNGlVaWpp+O7l5dgAAkIMUCAEAAAAAACBCcvoPKgEAAAAAAIDMUiAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAIUSAEAAAAAACACFEgBAAAAAAAgAhRIAQAAAAAAIAI+X9K9n1CJCMYDgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make the example diagram\n",
    "n = 557\n",
    "r = 0.1\n",
    "t = 0.061576\n",
    "power = 0.9\n",
    "significance = 0.02\n",
    "\n",
    "display(sig_pow_visuals(\n",
    "  stdev=np.sqrt(0.5 / n), \n",
    "  effect_size=r, \n",
    "  threshold=t,\n",
    "  title=f\"(correct) A/B test with size={n}, decision threshold = {t:.4f} (vertical line)\",\n",
    "  subtitle=f\"Notice, 1-power = {1-power:.2f} = green area, significance = {significance:.2f} = orange area\"\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the above to work, one must have an installed `R` environment (with the appropriate packages) and a properly installed and configured `rpy2`. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above example is a bit unusual, in that it is a plot that doesn't take an incoming data frame as an argument. More often we are likely wanting to pass a `Pandas` data frame into `R`. This is also quite easy.\n",
    "\n",
    "To see this, consider [another `.R` file](https://github.com/WinVector/Examples/blob/main/calling_R_from_Python/plot_frame.R) that defines the following R function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".output_html .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"nf\">library</span><span class=\"p\">(</span><span class=\"n\">ggplot2</span><span class=\"p\">)</span>\n",
       "\n",
       "\n",
       "<span class=\"n\">plt_frame</span><span class=\"w\"> </span><span class=\"o\">&lt;-</span><span class=\"w\"> </span><span class=\"nf\">function</span><span class=\"p\">(</span><span class=\"n\">d</span><span class=\"p\">)</span><span class=\"w\"> </span><span class=\"p\">{</span>\n",
       "<span class=\"w\">  </span><span class=\"nf\">ggplot</span><span class=\"p\">(</span><span class=\"n\">data</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">d</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">mapping</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"nf\">aes</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">x</span><span class=\"p\">,</span><span class=\"w\"> </span><span class=\"n\">y</span><span class=\"w\"> </span><span class=\"o\">=</span><span class=\"w\"> </span><span class=\"n\">y</span><span class=\"p\">))</span><span class=\"w\"> </span><span class=\"o\">+</span>\n",
       "<span class=\"w\">    </span><span class=\"nf\">geom_point</span><span class=\"p\">()</span>\n",
       "<span class=\"p\">}</span>\n",
       "</pre></div>\n"
      ],
      "text/latex": [
       "\\begin{Verbatim}[commandchars=\\\\\\{\\}]\n",
       "\\PY{n+nf}{library}\\PY{p}{(}\\PY{n}{ggplot2}\\PY{p}{)}\n",
       "\n",
       "\n",
       "\\PY{n}{plt\\PYZus{}frame}\\PY{+w}{ }\\PY{o}{\\PYZlt{}\\PYZhy{}}\\PY{+w}{ }\\PY{n+nf}{function}\\PY{p}{(}\\PY{n}{d}\\PY{p}{)}\\PY{+w}{ }\\PY{p}{\\PYZob{}}\n",
       "\\PY{+w}{  }\\PY{n+nf}{ggplot}\\PY{p}{(}\\PY{n}{data}\\PY{+w}{ }\\PY{o}{=}\\PY{+w}{ }\\PY{n}{d}\\PY{p}{,}\\PY{+w}{ }\\PY{n}{mapping}\\PY{+w}{ }\\PY{o}{=}\\PY{+w}{ }\\PY{n+nf}{aes}\\PY{p}{(}\\PY{n}{x}\\PY{+w}{ }\\PY{o}{=}\\PY{+w}{ }\\PY{n}{x}\\PY{p}{,}\\PY{+w}{ }\\PY{n}{y}\\PY{+w}{ }\\PY{o}{=}\\PY{+w}{ }\\PY{n}{y}\\PY{p}{)}\\PY{p}{)}\\PY{+w}{ }\\PY{o}{+}\n",
       "\\PY{+w}{    }\\PY{n+nf}{geom\\PYZus{}point}\\PY{p}{(}\\PY{p}{)}\n",
       "\\PY{p}{\\PYZcb{}}\n",
       "\\end{Verbatim}\n"
      ],
      "text/plain": [
       "\n",
       "library(ggplot2)\n",
       "\n",
       "\n",
       "plt_frame <- function(d) {\n",
       "  ggplot(data = d, mapping = aes(x = x, y = y)) +\n",
       "    geom_point()\n",
       "}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show the contents of a .R file\n",
    "display(Code(\"plot_frame.R\", language=\"R\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can source this `.R` file and get a reference to the desired function as before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "robjects.r(\"source('plot_frame.R')\")\n",
    "plt_frame = get_ggplot_fn_by_name(\n",
    "    \"plt_frame\",\n",
    "    # ggplot2::ggsave() arguments\n",
    "    width=3,\n",
    "    height=2,\n",
    "    units=\"in\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the function reference in hand, we can now plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(plt_frame(\n",
    "    pd.DataFrame({\n",
    "        \"x\": [1.0, 2.0, 3.0],\n",
    "        \"y\": [1.0, -1.0, 2.0],\n",
    "})))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The adapter also adds some minimal function help (source file name and names of arguments)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function plt_frame in module r_tools:\n",
      "\n",
      "plt_frame(*args, **kwargs) -> IPython.core.display.Image\n",
      "    imported R function plt_frame() (assumed to return a ggplot)\n",
      "     wrapped fn returns IPython.display.Image\n",
      "    R source file: plot_frame.R\n",
      "    R definition environment: <environment: R_GlobalEnv>\n",
      "    R arguments:\n",
      "    $d\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(plt_frame)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And that is one method to use `R` graphing in Python or mixed-language data science projects. \n",
    "\n",
    "All of the code in this example can be found [here](https://github.com/WinVector/Examples/tree/main/calling_R_from_Python)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "research_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}