{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nbsphinx example\n",
    "This example renders a Jupyter notebook using the ``nbsphinx`` extension."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a simple sphere using PyVista.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyvista as pv\n",
    "\n",
    "pv.set_jupyter_backend(\"html\")\n",
    "\n",
    "sphere = pv.Sphere()\n",
    "sphere.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plotter = pv.Plotter(notebook=True)\n",
    "plotter.add_mesh(sphere, color=\"white\", show_edges=True)\n",
    "plotter.title = \"3D Sphere Visualization\"\n",
    "plotter.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Render equations using the IPython ``math`` module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Math\n",
    "\n",
    "eq = Math(r\"\\int\\limits_{-\\infty}^\\infty f(x) \\delta(x - x_0) dx = f(x_0)\")\n",
    "eq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Latex\n",
    "\n",
    "Latex(r\"This is a \\LaTeX{} equation: $a^2 + b^2 = c^2$\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Render a table in markdown."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an example to render the table inside the notebook\n",
    "\n",
    "A     | B     | A and B\n",
    "------|-------|--------\n",
    "False | False | False\n",
    "True  | False | False\n",
    "False | True  | False\n",
    "True  | True  | True\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Render a data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Create a dictionary of data\n",
    "data = {\n",
    "    \"A\": [True, False, True, False],\n",
    "    \"B\": [False, True, False, True],\n",
    "    \"C\": [True, True, False, False],\n",
    "}\n",
    "\n",
    "# Create DataFrame from the dictionary\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# Display the DataFrame\n",
    "df.head()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.11.7"
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