{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = dict(\n",
    "    cond=np.repeat(['A','B'], 200),\n",
    "    rating=np.concatenate((np.random.normal(0, 1, 200), np.random.normal(1, 1.5, 200)))\n",
    ")\n",
    "\n",
    "plot = (ggplot(data, aes(x='rating', fill='cond')) \n",
    "         + ggsize(500, 250)\n",
    "         + geom_density(color='dark_green', alpha=.7) + scale_fill_brewer(type='seq')\n",
    "         + theme(axis_line_y='blank')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get just SVG (no JS)\n",
    "import lets_plot._kbridge as kbr\n",
    "\n",
    "plot_svg = kbr._generate_svg(plot.as_dict())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# show svg\n",
    "from IPython.display import SVG\n",
    "\n",
    "SVG(plot_svg)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.10"
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