{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The *Explorer* is a [Panel](https://panel.holoviz.org)-based web application with which you can easily explore your data. While using `.hvplot()` is a convenient way to create plots from data, it assumes some *a piori* knowledge about the data itself and its structure, and also knowdlege about `.hvplot()`'s API. The *Explorer* is a graphical interface that offers a simple way to select and visualize the kind of plot you want to see your data with, and many options to customize that plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import hvplot\n",
    "from bokeh.sampledata.penguins import data as df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hvplot.extension('bokeh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "explorer = hvplot.explorer(df)\n",
    "explorer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once you are done exploring the data you may want to save the plot or record the settings you have configured. The *Explorer* offers the `.save` method to save a plot and the `.settings()` method to obtain a dictionary of the settings. The `.plot_code()` method can also be used to get a code string that can easily be copy/pasted to another cell to create a plot with `.hvplot()`. Assuming we would have set the *Explorer* to create a scatter plot we would get:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "explorer.plot_code()\n",
    "```\n",
    "\n",
    "```bash\n",
    "\"df.hvplot(by=['species'], kind='scatter', x='bill_length_mm', y=['bill_depth_mm'])\"\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For information on using `explorer()` take a look at the [User Guide](../user_guide/Explorer.ipynb)."
   ]
  }
 ],
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  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
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