{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nbclient\n",
    "import nbformat as nbf\n",
    "import pandas as pd\n",
    "import scrapbook as sb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Background\n",
    "\n",
    "This notebook uses `nbclient` to read and execute an *empty* notebook.\n",
    "The empty notebook generates some fake data, makes a plot, and stores\n",
    "both the data and the plot inside the notebook using the\n",
    "[scrapbook package](https://github.com/nteract/scrapbook). We will\n",
    "then be able to access the generated contents of the notebook here.\n",
    "\n",
    "You can see the empty notebook by clicking this button:\n",
    "\n",
    "<a href=\"empty_notebook.ipynb\"><button>Empty notebook</button></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read and execute the empty notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We use nbformat to represent our empty notebook in-memory\n",
    "nb = nbf.read('./empty_notebook.ipynb', nbf.NO_CONVERT)\n",
    "\n",
    "# Execute our in-memory notebook, which will now have outputs\n",
    "nb = nbclient.execute(nb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Inspect the new notebook for its contents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# First we'll convert our nbformat NotebokNote into a *scrapbook* NotebookNode\n",
    "nb = sb.read_notebook(nb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can access the dataframe that was created and glued into the empty notebook\n",
    "pd.DataFrame.from_dict(nb.scraps.get('dataframe').data).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We can also access the generated plot by \"re-gluing\" the notebook here\n",
    "nb.reglue('plot')"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}