{
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   "cell_type": "markdown",
   "id": "164c2e63-9297-42a3-986c-b425ad43b329",
   "metadata": {},
   "source": [
    "# New Scale Transformations: `log2` and `symlog`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e0ff2eb4-9550-41fb-9f6c-04ca30b7d7ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "from lets_plot import *"
   ]
  },
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   "execution_count": 2,
   "id": "b05b5aa0-7a28-40f5-bacc-281a4520d77f",
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    {
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       "                        div.textContent = 'Error loading Lets-Plot JS';\n",
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    "LetsPlot.setup_html()"
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   "execution_count": 3,
   "id": "d68a87df-c123-46aa-a6de-82f0e38b8236",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_data(n):\n",
    "    import numpy as np\n",
    "    import pandas as pd\n",
    "\n",
    "    x = np.arange(-n, n + 1).astype(float)\n",
    "    y = np.where(x >= 0, np.where(x == 0, x, np.power(np.e, x)), -np.power(np.e, -x))\n",
    "\n",
    "    return pd.DataFrame({'x': x, 'y': y})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "db6ca357-1bb3-42ce-bfee-0fb1e3a1b202",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>6.0</td>\n",
       "      <td>403.428793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1096.633158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>8.0</td>\n",
       "      <td>2980.957987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9.0</td>\n",
       "      <td>8103.083928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10.0</td>\n",
       "      <td>22026.465795</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       x             y\n",
       "16   6.0    403.428793\n",
       "17   7.0   1096.633158\n",
       "18   8.0   2980.957987\n",
       "19   9.0   8103.083928\n",
       "20  10.0  22026.465795"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = get_data(10)\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dc3668ad-045d-421f-9663-05c75ecb5f2a",
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   "outputs": [
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    "p = ggplot(df, aes('x', 'y')) + geom_point()\n",
    "\n",
    "gggrid([\n",
    "    p + ggtitle(\"Default\"),\n",
    "    p + scale_y_continuous(trans='symlog') + ggtitle(\"trans='symlog'\"),\n",
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