{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas import DataFrame\n",
    "import numpy as np\n",
    "from lets_plot import *\n",
    "\n",
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load MPG dataset\n",
    "import pandas as pd\n",
    "\n",
    "mpg = pd.read_csv (\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggplot(mpg, aes('displ', 'hwy', color='manufacturer')) \\\n",
    "+ geom_point(size=5, tooltips=layer_tooltips()\n",
    "                          .anchor('top_right')\n",
    "                          .min_width(180)  \n",
    "                          .line('@manufacturer @model')\n",
    "                          .line('cty/hwy|@cty/@hwy')\n",
    "                          .line('@|@class')\n",
    "                          .line('@|@year'))\\\n",
    "+ theme(legend_position='bottom') \\\n",
    "+ ggsize(500,400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the iris dataset\n",
    "iris_df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "(ggplot(iris_df) \n",
    "  + geom_area(aes(x='sepal_length', fill='species'), \n",
    "             stat='density',\n",
    "             color='white',\n",
    "             tooltips=layer_tooltips()\n",
    "                .anchor('top_right')\n",
    "                .line('^fill')\n",
    "                .line('length|^x')\n",
    "                .line('density|^y'))\n",
    " + ggsize(650, 300) \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Two layers with their own tooltip anchor settings\n",
    "ggplot(iris_df) \\\n",
    "+ geom_line(aes(x='sepal_length', y='sepal_width'), colour='magenta',\n",
    "            tooltips=layer_tooltips().line('width|^y').anchor('top_right')) \\\n",
    "+ geom_line(aes(x='petal_length', y='petal_width'), color='blue',\n",
    "            tooltips=layer_tooltips().line('width|^y').anchor('top_left'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggplot(iris_df) \\\n",
    "+ geom_line(aes(x='sepal_length', y='sepal_width'), colour='magenta',\n",
    "            tooltips=layer_tooltips().line('sepal width|^y').anchor('top_right')) \\\n",
    "+ geom_line(aes(x='petal_length', y='petal_width'), color='blue',\n",
    "            tooltips=layer_tooltips().line('petal width|^y').anchor('bottom_right'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ggplot(iris_df) \\\n",
    "+ geom_line(aes(x='sepal_length', y='sepal_width'), colour='magenta',\n",
    "            tooltips=layer_tooltips().line('sepal width|^y').anchor('middle_left')) \\\n",
    "+ geom_line(aes(x='petal_length', y='petal_width'), color='blue',\n",
    "            tooltips=layer_tooltips().line('petal width|^y').anchor('middle_left'))"
   ]
  }
 ],
 "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": "3.7.10"
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