{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nbinteract as nbi\n",
    "import numpy as np\n",
    "from numpy import arange"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "08511fbe4b2545a888c10b2a4cbf409e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Label(value='y = 1.01x + 0.49'), Figure(animation_duration=1000, axes=[Axis(grid_color='gray', …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_points = np.arange(10)\n",
    "y_points = np.arange(10) + np.random.rand(10)\n",
    "\n",
    "\n",
    "options = {\n",
    "    'title': 'Interactive Scatter Plot',\n",
    "    'animation_duration': 1000,\n",
    "    'xlabel': 'x-values',\n",
    "    'ylabel': 'y-values',\n",
    "    'xlim': (0, 10),\n",
    "    'ylim': (0, 10)\n",
    "}\n",
    "\n",
    "layouts = {\n",
    "    'plot_height': '480px',\n",
    "    'plot_width': '800px',\n",
    "}\n",
    "\n",
    "show_eqn = False\n",
    "\n",
    "scatter_drag = nbi.scatter_drag(\n",
    "    x_points,\n",
    "    y_points,\n",
    "    options=options,\n",
    "    layouts=layouts\n",
    ")\n",
    "\n",
    "scatter_drag"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}