mwaskom/seaborn_v0.13_barplot_updates.ipynb

## seaborn_v0.13_barplot_updates.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "aeb6c0b1-5d60-4669-afef-bb6155b1f588",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Updates to `barplot` in seaborn v0.13\n",
    "\n",
    "In seaborn v0.13, the `barplot` function has been rewritten to use seaborn's later-developed common infrastructure. This is part of a long-running effort to modernize seaborn's categorical plots, as tracked in [this issue](https://github.com/mwaskom/seaborn/issues/2429).\n",
    "\n",
    "For the most part, this should not affect user code. However, there have been some changes to default behavior, along with some important new features. These are demonstrated here.\n",
    "\n",
    "Where default behavior has changed, the intention/result was to make `barplot` more consistent with other seaborn functions (as they now share a common codebase)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d745c7c3-57de-4cb6-8c04-21fc18b264db",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "68e800f5-c7e2-43f1-950f-0ce1e930fb2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = \"retina\"\n",
    "sns.set_theme(rc={\"figure.dpi\": 80})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f13f107d-dd9e-46d5-80a3-9bdea2f711cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "mpg = sns.load_dataset(\"mpg\")\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "taxis = sns.load_dataset(\"taxis\")\n",
    "diamonds = sns.load_dataset(\"diamonds\")\n",
    "flights = sns.load_dataset(\"flights\")\n",
    "flights_wide = flights.pivot(index=\"month\", columns=\"year\", values=\"passengers\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c225eef-6d7e-43cc-bfa8-5ead58750874",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69437a77-4b3d-48a2-aaa3-8118848d8d44",
   "metadata": {},
   "source": [
    "# Treament of vector data with no explicit assignments\n",
    "\n",
    "<span style=\"color: #c44e52\">This is a change to default behavior.</span>\n",
    "\n",
    "Currently, passing a vector (e.g. `Series` or `ndarray`) to the `data` parameter without assigning `x` or `y` will aggregate the values and plot a single vertical bar. This probably not what one expects or wants.\n",
    "\n",
    "In v0.13.0, each entry in the vector will instead be plotted separately. If using a `Series` or `dict`, the index values will be used to label the ticks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6ed9c41c-53bb-4285-bae3-e8bf1e397a18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='month', ylabel='1955'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 460
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(flights_wide[1955])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8a111c1-59cc-4ab6-9904-a04d28d221bf",
   "metadata": {},
   "source": [
    "When passing an `ndarray` or `list`, the ticks will receive index labels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "71c19c7e-50c0-45b3-942e-498adb28d435",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AoDzxSrjr2LGj3nrrLT388MMltu/cuVOSVLduXUnS8ePHlZ6eLklKTEwscUyrVq0kSSkpKZ7Htm/fLklq0aKFgoOLrwUTEhKihIQESa4gCAAAAAAVhU+3Qjh58qRefvllbdq0SZUqVVJSUpIk6dChQ5KksLAwVa9evcSxtWrVkiSlpaV5HnN/Xbt27VJf09128ODBK50+AAAAAJQbXt0Kwe3zzz/X1KlTdfjwYRUWFqpRo0Z67bXXPMErIyNDkhQTEyOLxVLic1SpUkWSdObMGeXl5SkyMlKZmZmSpNjY2FJf2z3O3dfXrNaS5w8AKM7035mXcnwm14I6nHOxx0cdAHiDT8Ldjh07dODAAc+/MzMztWHDBjVr1kwWi0WnT5+WJIWHh5f6HOe35efnKzIy8qLGhYWFecb4WlCQVXFx0T5/HQBA+RAbGxXoKZQJ1OEcauFCHQD/8Mllmf369dP27dv11Vdf6emnn9bvv/+ud955R+PHj5ckBQUFSXJtRl6aktouZpxbaWcEAQAAAMBEPjlzd/XVV0ty3Tc3YMAAxcTEaMyYMfrkk0/04IMPKiIiQpLrksvSnN/m7n8p4y50ds9b7HaHsrLyfP46AGAKq9Vi9Cf4mZm5cjj++ANIyexaUIdzLrYW1AGAJMXERCoo6PLPv/kk3P23e+65R2+99ZaysrL0/fff65prrpEknTp1qtQxWVlZklyBzh3q3PfaudsuNK5q1apXPvGLwC8qAICbw+Hk74Kow/mohQt1APzDK5dl5uTkaPfu3Z6FUkpSr149SdKJEycUHx8vyXVf3IkTJ0rs794qwT1Okmecu+1ixwEAAACA6bwS7pKSktS9e3ctWrSo1D7Hjh2TJFWvXl2xsbGqU6eOJGnbtm0l9v/+++8lSS1btvQ81rx5c0nSDz/8IIfDUWxMYWGhZ0899z55AAAAAFAReCXctWnTRpI0f/582e32Yu2rVq3S0aNHFRYW5unbqVMnSdKcOXOK9T916pSWL18uSbrrrrs8jycmJqpatWpF2s+3ZMkS5eXlKT4+Xs2aNbvi4wIAAACA8sIr4e6hhx5SZGSkDhw4oJEjRyo7O9vT9tVXX2nUqFGSpAEDBnjum+vTp4+ioqL07bff6u2339bZs2clufbAGzx4sLKzs9WmTZsiZ+CsVqsGDRokSRo7dqy2bNniadu4caPGjRsnSRo0aJCsVp/uzw4AAAAAZYpXFlS55pprNHHiRA0dOlTLli3T6tWrFR8fr6ysLP3yyy+SpJ49e+rxxx/3jKlevbpee+01DRs2TNOmTdO8efN0zTXXaP/+/crPz1ft2rX15ptvFnut++67TykpKVq5cqV69+6thg0byul0evbVS0pKUrdu3bxxWAAAAABQbnhttcybb75ZixYt0vTp07V+/Xrt27dPUVFRateunZKSktS+fftiYzp16qTk5GRNnTpVW7ZsUWpqqqpXr64OHTro8ccfL3HFy6CgIE2cOFHJycmaP3++9u/fL4fDoYSEBPXq1Us9evTw1iEBAAAAQLnh1a0Q6tev77k08mI1bdpUkyZNuqQxVqtVvXr1Uq9evS5pHAAAAACYihvTAAAAAMAAhDsAAAAAMADhDgAAAAAMQLgDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwAOEOAAAAAAxAuAMAAAAAAxDuAAAAAMAAhDsAAAAAMADhDgAAAAAMQLgDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwQHCgJwAAAAAAJbFaLYGegs84HE6vPyfhDgAAAECZY7VaFBcXHehp+MzJkzleD3hclgkAAAAABuDMHQAAAIAy7bl3lysr+3Sgp3HFYipF6JUnOvvs+Ql3AAAAAMq0rOzTyjhV/sOdr3FZJgAAAAAYgDN3AAAAKDNYHRG4fIQ7AAAAlAmsjghcGS7LBAAAAAADcOYOAAAAZQ6rIwKXjnAHAACAMofVEYFLx2WZAAAAAGAAztwBgJ+wAhwAAPAlwh0A+AErwAEAAF8j3AHwOc5YAQAA+B7hDoBPccaqOFaAAwAAvkC4AwA/YwU4AADgC4Q7wIe4HLEozlgBAAD4DuEO8BEuRyyOM1YAAAC+wz53AAAAAGAAztwBfsDliAAAAPA1wh3gB1yOCAAAAF/jskwAAAAAMADhDgAAAAAMQLgDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwAOEOAAAAAAxAuAMAAAAAAxDuAAAAAMAAhDsAAAAAMADhDgAAAAAMQLgDAAAAAAMEe/sJDx06pBkzZmjjxo06evSogoODFR8fr65du6p3794KDQ0t0n/JkiUaMWLEBZ9zzJgxuv/++4s85nQ6NW/ePM2dO1c//fSTgoODZbPZlJSUpDvuuMPbhwUAAAAAZZpXw926dev0xBNPKC8vTyEhIWrQoIGys7O1c+dO7dy5U8uXL9dHH32k6Ohoz5jU1FRJUu3atVW9evUSn7ekx59//nklJyfLYrGocePGKigo0NatW7V161Zt3rxZL730kjcPDQAAAADKNK+Fu4yMDD311FPKy8tT165d9eKLL6pSpUqSpK1bt2rYsGHavn27xo4dqzfeeMMzzh3unn76aXXp0uWiXmvevHlKTk5WXFycPvjgAzVt2lSStHHjRg0ePFhz587VDTfcoDvvvNNbhwcAAAAAZZrX7rmbP3++srOz1aBBA40fP94T7CQpMTFR48ePlyQtXbpUJ06c8LS5w53NZruo17Hb7Zo2bZokafTo0Z5gJ0lt2rTR6NGjJUnvvffelR0QAAAAAJQjXgt3KSkpkqSOHTsqJCSkWPuNN96oqKgoOZ1O7dq1S5KUlZWl48ePKyQkRPXr17+o19m8ebMOHz6s6OhoderUqVj7HXfcocjISKWlpXleBwAAAABM57VwN2TIEE2YMEG33357ie1Op9PztcPhkHTurF18fLyCgy/uCtHt27dLklq0aFHimJCQECUkJEhyBUEAAAAAqAi8ds9dixYt1KJFi1Lb161bp9zcXElSo0aNJJ0Ld40bN9bGjRu1fPlyHTp0SBEREWrevLl69uypatWqFXmetLQ0Sa4FWEpTu3ZtpaSk6ODBg1dySBfFarX4/DVQPpn+vXGxx0cdLq1feUUdXC7l+EyuBXU4h58NF+rgYvrxeZvp9fLF8Xl9K4SSnD59WhMmTJDkuv+uTp06ks6Fu6+++krLli0rMubrr7/WBx98oDfeeEMdO3b0PJ6ZmSlJio2NLfX1qlSpUqSvrwQFWRUXF/3HHQEDxcZGBXoKZQJ1cKEOLtTBhTqcQy1cqIMLdcD5fPH94PNNzO12u0aMGKH9+/crODhYzzzzjKdt7969klyXbI4cOVJr167Vjh07tHDhQnXo0EF5eXkaOnSo51JMyRUUJSk8PLzU1wwLC5Mk5efn++KQAAAAAKDM8emZu8LCQo0cOVL/+c9/JLm2O2jZsqWn/dZbb1V8fLzuvvtu3XjjjZ7HmzZtqilTpmjgwIFas2aN3njjDX3yySeSpKCgIElF7+ErjcXi21O5drtDWVl5Pn0NlF9Wq8XoT+gyM3PlcPzxzyF1cKEOLtThHJNrQR3O4WfDhTq4XMrPBirm90NMTKSCgi7//JvPwl1ubq6efPJJrVu3TpI0cOBA9e3bt0if/v37lzreYrFo0KBBWrNmjbZs2aJTp06pSpUqioiIkCSdOXOm1LHutgud3fMWfkBRUTkcTr7/RR3cqIMLdXChDudQCxfq4EIdcD5ffD/4JNwdP35cAwYM0I8//ihJGjp0qB599NFLfp7rrrtOkuss3a+//qoqVap47rXLysoqdZy7rWrVqpf8mgAAAABQHnk93B08eFCPPPKI0tPTFRQUpBdffFH33HNPqf3z8/NLPcN2/qWX7m0P4uPjJUnp6emlPqe7rV69epc8fwAAAAAoj7y6oMqRI0fUp08fpaenKzw8XJMnTy412G3ZskUtW7ZUy5YtdeLEiRL77N69W5IUGhrqWWGzefPmkqQffvjBs1/e+QoLC7Vz505JUqtWra74mAAAAACgPPBauDtz5oweffRRHTt2TNHR0ZoxY4Y6dOhQav9rr71WdrtdTqdTixcvLrHPRx99JEnq0KGDZwXMxMREVatWTadOndLy5cuLjVmyZIny8vIUHx+vZs2aXfmBAQAAAEA54LVwN23aNO3du1cWi0Vvvvmmbrjhhgv2r1Spknr16iVJevfdd/Xll1962k6fPq2XX35Zq1evVnh4uIYOHXpuwlarBg0aJEkaO3astmzZ4mnbuHGjxo0bJ0kaNGiQrFaf7/QAAAAAAGWCV+65Kygo8GxVEBYWpunTp2v69Oml9n/iiSfUpk0bDR8+XPv379f69ev11FNPady4capRo4YOHDigvLw8RUREaNKkSWrQoEGR8ffdd59SUlK0cuVK9e7dWw0bNpTT6dSBAwckSUlJSerWrZs3Dg0AAAAAygWvhLu9e/fq1KlTklwLpGzduvWC/TMyMiS5guCHH36oBQsWaNGiRUpNTVVqaqpq1Kihbt26qX///qpVq1ax8UFBQZo4caKSk5M1f/587d+/Xw6HQwkJCerVq5d69OjhjcMCAAAAgHLDK+EuISFBqamplzXWarWqZ8+e6tmz5yWP69Wrl+fSzrLCavXtxumBxL4sAAAAQNnls03MKyKr1aK4uOhAT8NnTp7MIeABAAAAZRQrjgAAAACAAThz5yPPvbtcWdmnAz2NKxZTKUKvPNE50NMAAAAA8AcIdz6SlX1aGafKf7gDAAAAUD5wWSYAAAAAGIBwBwAAAAAGINwBAAAAgAG45w4AAAAoY9g7GZeDcAcAAACUIeydjMvFZZkAAAAAYADO3AEAAABlFHsn41IQ7gAAAIAyir2TcSm4LBMAAAAADMCZO/gEKzwBAAAA/kW4g9exwhMAAADgf1yWCQAAAAAG4MwdfIoVngAAAAD/INzBp1jhCQAAAPAPLssEAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwAOEOAAAAAAxAuAMAAAAAAxDuAAAAAMAAhDsAAAAAMADhDgAAAAAMQLgDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwAOEOAAAAAAxAuAMAAAAAAxDuAAAAAMAAhDsAAAAAMADhDgAAAAAMQLgDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwAOEOAAAAAAxAuAMAAAAAAxDuAAAAAMAAhDsAAAAAMADhDgAAAAAMQLgDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADBDs7Sc8dOiQZsyYoY0bN+ro0aMKDg5WfHy8unbtqt69eys0NLTYmN27d+v999/X5s2blZubq6uvvlq33HKLBg0apMqVK5f4Ok6nU/PmzdPcuXP1008/KTg4WDabTUlJSbrjjju8fVgAAAAAUKZ5NdytW7dOTzzxhPLy8hQSEqIGDRooOztbO3fu1M6dO7V8+XJ99NFHio6O9ozZtGmT+vXrp8LCQlWrVk2NGzfWTz/9pBkzZmjFihWaM2eOatSoUey1nn/+eSUnJ8tisahx48YqKCjQ1q1btXXrVm3evFkvvfSSNw8NAAAAAMo0r12WmZGRoaeeekp5eXnq2rWrNm7cqKVLl+qbb77RnDlzdM0112j79u0aO3asZ0xmZqYGDx6swsJCDRs2TGvXrtXChQv1zTffqHXr1kpPT9ezzz5b7LXmzZun5ORkxcXFacGCBVq6dKlWrlypWbNmKTo6WnPnztWSJUu8dWgAAAAAUOZ5LdzNnz9f2dnZatCggcaPH69KlSp52hITEzV+/HhJ0tKlS3XixAlJ0uzZs5Wdna22bdtq4MCBslpd06lataomT56sypUra8OGDdq6davnuex2u6ZNmyZJGj16tJo2beppa9OmjUaPHi1Jeu+997x1aAAAAABQ5nkt3KWkpEiSOnbsqJCQkGLtN954o6KiouR0OrVr1y5J0uLFiyVJPXr0KNa/SpUq6ty5syTpyy+/9Dy+efNmHT58WNHR0erUqVOxcXfccYciIyOVlpbmeR0AAAAAMJ3Xwt2QIUM0YcIE3X777SW2O51Oz9cOh0PHjx9Xenq6JNeZvZK0atVK0rngKEnbt2+XJLVo0ULBwcVvGQwJCVFCQoIkVxAEAAAAgIrAawuqtGjRQi1atCi1fd26dcrNzZUkNWrUSIcOHZIkhYWFqXr16iWOqVWrliQpLS3N85j769q1a5f6WrVr11ZKSooOHjx4KYdwWaxWS4lfm+hij486XFq/8oo6uFAHF+rgcinHZ3ItqMM5/Gy4UAcX6uBCHVx8cXxe3wqhJKdPn9aECRMkuc7S1alTR7t375YkxcTEyGIp+cCqVKkiSTpz5ozy8vIUGRmpzMxMSVJsbGypr+ce5+7rK0FBVsXFRf9xR0PExkYFegplAnVwoQ4u1MGFOrhQBxfqcA61cKEOLtTBhTq4+KIOPt/E3G63a8SIEdq/f7+Cg4P1zDPPSHIFPkkKDw8vdez5bfn5+Rc9LiwsrMgYAAAAADCdT8/cFRYWauTIkfrPf/4jSXr66afVsmVLSVJQUJCkovfi/beS2i5mnFtpZwS9xW53KCsrz/Nvq9Vi9CcRmZm5cjj+uO7UwYU6uFAHF+rgQh3OMbkW1OEcfjZcqIMLdXChDi4l1SEmJlJBQZd//s1n4S43N1dPPvmk1q1bJ0kaOHCg+vbt62mPiIiQ5LrksjTnt7n7X8q4C53d85aL/eNlAofDWaGOtzTUwYU6uFAHF+rgQh1cqMM51MKFOrhQBxfq4OKLOvgk3B0/flwDBgzQjz/+KEkaOnSoHn300SJ93PfMnTp1qtTnycrKkuQKdO5Q5x7nbrvQuKpVq17O9AEAAACg3PH6PXcHDx5Ur1699OOPPyooKEgvv/xysWAnSfHx8ZJc98W5NzX/b+6tEurVq1dsnLvtYscBAAAAgMm8Gu6OHDmiPn36KD09XeHh4Zo8ebLuueeeEvvGxsaqTp06kqRt27aV2Of777+XJM99epLUvHlzSdIPP/wgh8NRbExhYaF27twp6dw+eQAAAABgOq+FuzNnzujRRx/VsWPHFB0drRkzZqhDhw4XHNOpUydJ0pw5c4q1nTp1SsuXL5ck3XXXXZ7HExMTVa1atSLt51uyZIny8vIUHx+vZs2aXcERAQAAAED54bVwN23aNO3du1cWi0Vvvvmmbrjhhj8c06dPH0VFRenbb7/V22+/rbNnz0qSMjIyNHjwYGVnZ6tNmzZFzsBZrVYNGjRIkjR27Fht2bLF07Zx40aNGzdOkjRo0CBZrT7f6QEAAAAAygSvLKhSUFCgTz75RJJrj7np06dr+vTppfZ/4okn1KZNG1WvXl2vvfaahg0bpmnTpmnevHm65pprtH//fuXn56t27dp68803i42/7777lJKSopUrV6p3795q2LChnE6nDhw4IElKSkpSt27dvHFoAAAAAFAueCXc7d2717PqZX5+vrZu3XrB/hkZGZ6vO3XqpOTkZE2dOlVbtmxRamqqqlevrg4dOujxxx8vccXLoKAgTZw4UcnJyZo/f772798vh8OhhIQE9erVSz169PDGYQEAAABAueGVcJeQkKDU1NTLHt+0aVNNmjTpksZYrVb16tVLvXr1uuzXBQAAAABTcFMaAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAG8Hm4e/3113Xttddq27ZtJbZ/9913uvbaay/434QJE0ocu3LlSvXu3VutWrVSq1atdPfdd+vTTz+Vw+Hw4REBAAAAQNkT7Msn//rrrzVr1qwL9klNTZUkVatWTXXq1CmxT+3atYs99v7772vixImSpPr16ys0NFS7d+/Wrl27tGbNGr3//vsKCgq6ovkDAAAAQHnhs3C3atUqDR8+XHa7/YL93OHuwQcf1IABAy7quTds2KCJEycqIiJCkydPVtu2bSVJu3fv1qBBg7RmzRpNnz5djz766JUdBAAAAACUE16/LDMnJ0evvvqqhgwZojNnzvxhf3e4u/baay/6NaZMmSJJeuyxxzzBTpKuu+46vfHGG5KkGTNm6PTp05cydQAAAAAot7wa7vbs2aNOnTrpX//6l8LCwvTqq6/+4Zh9+/ZJkho3bnxRr3HkyBFt3rxZFotFf//734u133jjjapfv76ys7O1bt26SzsAAAAAACinvBrujhw5ohMnTuimm27S4sWL1aNHjz/sn5OTo0qVKqlmzZoX9RruhVnq1aunuLi4EvskJiZKklJSUi5+8gAAAABQjnn1nru6devq448/1p///OeL6u++JLNRo0basWOHlixZop9++knBwcFq0qSJevToobp16xYZk5aWJqnkRVbcatWqVaQvAAAAAJjOq+HOZrNdUn93uEtNTS12lm/t2rX66KOPNGrUKCUlJXkez8zMlCTFxsaW+rxVqlQp0teXrFZLiV+b6GKPjzpcWr/yijq4UAcX6uByKcdnci2owzn8bLhQBxfq4EIdXHxxfD7dCuGP7N27V5JUUFCggQMHqmfPnqpRo4YOHz6sGTNmaMGCBRo7dqyuuuoq3XrrrZLkWSQlPDy81Od1t+Xn5/t0/kFBVsXFRfv0NcqS2NioQE+hTKAOLtTBhTq4UAcX6uBCHc6hFi7UwYU6uFAHF1/UIaDh7n//938VGRmptm3bqkuXLp7HGzZsqHHjxik0NFRz5szR+PHjdcstt8hisXj2rnM6naU+r7vNYjE77QMAAACAW0DDXc+ePdWzZ89S2x999FHNmTNH6enp2rNnj5o0aaKIiAhJuuA2C+62C53d8wa73aGsrDzPv61Wi9GfRGRm5srhKD1Uu1EHF+rgQh1cqIMLdTjH5FpQh3P42XChDi7UwYU6uJRUh5iYSAUFXf6alwENd3+kRo0aiouL08mTJ5Wenq4mTZp47rXLysoqdZy7rWrVqj6f48X+8TKBw+GsUMdbGurgQh1cqIMLdXChDi7U4Rxq4UIdXKiDC3Vw8UUdvL6J+aU6c+bMRV1iGRISIkmKj4+XJKWnp5c6xt1Wr149b00TAAAAAMq0gIW7I0eOKDExUc2bN9eOHTtK7HPs2DFlZGRIct2HJ0nNmjWTJB08eLDUs3fff/+9JKlVq1ZenjUAAAAAlE0BC3c1a9ZUVJTrGtpFixaV2OfDDz+U5Ap07n3tatasqebNm8vpdCo5ObnYmE2bNiktLU0xMTG6+eabfTR7AAAAAChbAhburFarHnnkEUnSnDlzNHv2bDkcDklSYWGhpk6dqtmzZ8tqtWrkyJFFxj722GOSpEmTJmnVqlWex3/88UdP3z59+njCIwAAAACYLqALqjz44IPas2ePFi1apFdeeUWTJ09W7dq1dfjwYZ06dUrBwcF66aWX1Lp16yLj2rdvrz59+ujjjz/WkCFDVKdOHUVERGjfvn1yOp1q3769Bg4cGKCjAgAAAAD/C2i4s1qtGj9+vP76178qOTlZO3fuVGpqquLi4tS+fXv17dtX1157bYljR40apVatWunTTz/V7t27VVBQoMaNG+uuu+7Sgw8+6NkPDwAAAAAqAp+Hu9TU1D/sc9ttt+m222675Ofu3LmzOnfufDnTAgAAAACjBHwrBAAAAADAlSPcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAJ+Hu9dff13XXnuttm3bVmqfn3/+Wc8884zatm2rhIQEtW/fXi+88IKOHTt2wedeuXKlevfurVatWqlVq1a6++679emnn8rhcHj5KAAAAACgbAv25ZN//fXXmjVr1gX77Nu3T0lJSfr9998VExMjm82mtLQ0ffbZZ1qxYoVmz54tm81WbNz777+viRMnSpLq16+v0NBQ7d69W7t27dKaNWv0/vvvKygoyAdHBQAAAABlj8/O3K1atUpPPvmk7HZ7qX0KCws1aNAg/f7770pKStK6deu0cOFCrVu3Tl26dFFWVlaJz7FhwwZNnDhRERERmjFjhlauXKmlS5dq4cKFqlGjhtasWaPp06f76tAAAAAAoMzxerjLycnRq6++qiFDhujMmTMX7LtkyRIdOXJEjRo10pgxYxQaGipJioqK0uuvv6569erpwIED+vLLL4uMmzJliiTpscceU9u2bT2PX3fddXrjjTckSTNmzNDp06e9eWgAAAAAUGZ5Ndzt2bNHnTp10r/+9S+FhYXp1VdfvWD/RYsWSZK6d+8uq7XoVEJCQvT3v/9dkvTFF194Hj9y5Ig2b94si8XiaT/fjTfeqPr16ys7O1vr1q270kMCAAAAgHLBq+HuyJEjOnHihG666SYtXrxYPXr0KLWvw+HQjh07JEmJiYkl9mnVqpUkafPmzZ7H3Auz1KtXT3FxcSWOcz9fSkrKJR8DAAAAAJRHXl1QpW7duvr444/15z//+Q/7Hj16VPn5+ZKkOnXqlNinVq1aklyXep44cUJXXXWV0tLSJEm1a9cu9bnd49x9fclqtZT4tYku9viow6X1K6+ogwt1cKEOLpdyfCbXgjqcw8+GC3VwoQ4u1MHFF8fn1XBX0qqWpcnIyPB8HRsbW2KfKlWqeL7OzMzUVVddpczMzAuOOX+cu6+vBAVZFRcX7dPXKEtiY6MCPYUygTq4UAcX6uBCHVyogwt1OIdauFAHF+rgQh1cfFGHgG1i7j5rFxwcrODgkjNmeHi452v34iju/5/fVto492sAAAAAgOl8us/dhbgXUHE6naX2Ob/NYnGdtnTvXXcx49xjfMVudygrK8/zb6vVYvQnEZmZuXI4Sq+7G3VwoQ4u1MGFOrhQh3NMrgV1OIefDRfq4EIdXKiDS0l1iImJVFDQ5Z9/C1i4i4yMlCTZ7XadPXu2xLN352+lEBERUeT/F9pmwd12obN73nKxf7xM4HA4K9TxloY6uFAHF+rgQh1cqIMLdTiHWrhQBxfq4EIdXHxRh4Bdlnn+PXNZWVkl9jn/8apVqxYZV9qY89vcYwAAAADAdAELdzVq1FBUlOs0a3p6eol93I9XrlzZE9Ti4+MvOOb8tnr16nltvgAAAABQlgUs3ElSs2bNJEnff/99ie3ux1u0aFFszMGDB0s9e+ce594nDwAAAABMF9Bw16lTJ0nS/PnzZbfbi7QVFhZq4cKFkqS77rrL83jNmjXVvHlzOZ1OJScnF3vOTZs2KS0tTTExMbr55pt9N3kAAAAAKEMCGu66d++umjVrat++fRo1apRn64K8vDyNHDlShw4dUoMGDdS5c+ci4x577DFJ0qRJk7Rq1SrP4z/++KNGjhwpSerTp4/nsk8AAAAAMF3AVsuUXCtfvvnmm+rXr58WL16s//u//1O9evWUlpamnJwcxcTE6L333vNsf+DWvn179enTRx9//LGGDBmiOnXqKCIiQvv27ZPT6VT79u01cODAAB0VAAAAAPhfQM/cSdL111+vxYsX66677lJ4eLj27NmjiIgIde/eXfPnz1fDhg1LHDdq1ChNnDhRf/rTn5SRkaGDBw+qcePGGjlypCZNmlQsEAIAAACAyXx+5i41NfUP+9SrV08TJky45Ofu3LlzsUs2AQAAAKAiCviZOwAAAADAlSPcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAGCAz0Bu92uVq1a6cyZM6X2adq0qRYuXFjksd27d+v999/X5s2blZubq6uvvlq33HKLBg0apMqVK/t62gAAAABQpgQ83KWlpenMmTOKiIhQkyZNSuwTHx9f5N+bNm1Sv379VFhYqGrVqqlx48b66aefNGPGDK1YsUJz5sxRjRo1/DF9AAAAACgTAh7uUlNTJUk33HCDPvzwwz/sn5mZqcGDB6uwsFDDhg1T//79ZbValZGRoSeffFIpKSl69tlnNXPmTF9PHQAAAADKjIDfc+cOdzab7aL6z549W9nZ2Wrbtq0GDhwoq9V1CFWrVtXkyZNVuXJlbdiwQVu3bvXZnAEAAACgrCl34W7x4sWSpB49ehRrq1Klijp37ixJ+vLLL70zQQAAAAAoBwIe7vbu3Svp4sLd8ePHlZ6eLklKTEwssU+rVq0kSSkpKV6aIQAAAACUfQG95y4nJ0fp6ekKCgpSZGSkJk+erB07dqigoEB169ZV165d9ac//cnT/9ChQ5KksLAwVa9evcTnrFWrliTXQi0AAAAAUFEENNzt2bNHkmSxWHTnnXcW2Q5hw4YN+uyzz3T33XfrpZdeUkhIiDIyMiRJMTExslgsJT5nlSpVJElnzpxRXl6eIiMjfXoMVqulxK9NdLHHRx0urV95RR1cqIMLdXC5lOMzuRbU4Rx+Nlyogwt1cKEOLr44voCGO/clmWfPntXf/vY3DRw4UI0bN1ZmZqaWLl2qf/7zn1q4cKGioqL03HPP6fTp05Kk8PDwUp/z/Lb8/HyfhrugIKvi4qJ99vxlTWxsVKCnUCZQBxfq4EIdXKiDC3VwoQ7nUAsX6uBCHVyog4sv6hDQcNegQQMlJSWpatWqGjJkiOfxGjVqqF+/fqpZs6aeeuopffrpp3rggQcUFBQkSXI6naU+54XaAAAAAMBUAQ13bdq0UZs2bUpt79Kli/75z38qLS1NX3/9tWrXri1JRS7f/G/nt0VERHhvsiWw2x3Kysrz/NtqtRj9SURmZq4cjj8Oz9TBhTq4UAcX6uBCHc4xuRbU4Rx+Nlyogwt1cKEOLiXVISYmUkFBl7/mZcA3Mf8jTZo0UVpamn755Rc1a9ZMknTq1KlS+2dlZUlyBTtfhztJF/3HywQOh7NCHW9pqIMLdXChDi7UwYU6uFCHc6iFC3VwoQ4u1MHFF3UI+FYIZ8+eVWFhYant7sssg4ODFR8fL8l1L92JEydK7O/eKqFevXpenikAAAAAlF0BDXddu3ZVQkKCZs2aVWof94qajRo1UmxsrOrUqSNJ2rZtW4n9v//+e0lSy5YtvTlVAAAAACjTAhrubDabnE6nli5dqrNnzxZrX716tdLS0hQeHq727dtLkjp16iRJmjNnTrH+p06d0vLlyyVJd911l+8mDgAAAABlTEDDXd++fWW1WpWamqrnnntOOTk5nravvvpKzz77rCRpwIABio2NlST16dNHUVFR+vbbb/X22297QmFGRoYGDx6s7OxstWnTRq1atfL/AQEAAABAgAR0QZWEhAS9+OKLGjt2rBYtWqQVK1aoQYMGysrK0i+//CJJuueee/TYY495xlSvXl2vvfaahg0bpmnTpmnevHm65pprtH//fuXn56t27dp68803A3VIAAAAABAQAV9Q5d5771VycrK6du2qSpUqae/evcrLy1O7du00ZcoUvfzyy7JYiu7e3qlTJyUnJ+vWW2+VJKWmpqpq1aq6//77NW/ePF111VWBOBQAAAAACJgysRVCQkKC3nrrrUsa07RpU02aNMlHMwIAAACA8iXgZ+4AAAAAAFeOcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGCA70BC5Xbm6upk2bphUrVuiXX35RpUqVlJiYqP79+6tly5aBnh4AAAAA+FW5PHOXm5urBx54QNOmTdPRo0dls9kUFBSk1atXKykpSYsXLw70FAEAAADAr8pluHvxxRe1a9cuJSYm6uuvv9bChQu1du1aPfPMM7Lb7RozZowOHz4c6GkCAAAAgN+Uu3B36NAhffHFFwoJCdFbb72luLg4SZLValXfvn3VvXt3FRQUaPr06QGeKQAAAAD4T7kLd59//rnsdrtuuukm1axZs1j7vffeK0latWqVzp496+/pAQAAAEBAlLtwt337dklSYmJiie3NmjVTSEiIsrKytHfvXn9ODQAAAAACptyFu7S0NElSnTp1SmwPDg5W9erVi/QFAAAAANOVu60QMjIyJEmxsbGl9omJiVF6eroyMzN9Ph+r1VLi1zGVInz+2v5w/nGcf3wXQh2K96MOxceXZ9TBhTq4XE4d/ruvCbWgDufws+FCHVyogwt1cLnc35UXy+J0Op1ef1YfatKkiRwOh/7973/r+uuvL7HPfffdp61bt2rEiBHq16+fn2cIAAAAAP5X7i7LDAoKkiRdKJO62ywW76dhAAAAACiLyl24i4hwncosKCgotY+7LTw83C9zAgAAAIBAK3fhzn2vXVZWVql93G1Vq1b1w4wAAAAAIPDKXbiLj4+XJB05cqTE9sLCQh07dkySVL9+fX9NCwAAAAACqtyFu2bNmkmStm3bVmL7jh07dPbsWUVFRalx48Z+nBkAAAAABE65C3e33XabJGnt2rX65ZdfirXPnTtXktS1a1cFB5e7nR4AAAAA4LKUu3DXsGFDderUSYWFhRo8eLB+/fVXSZLD4dDMmTO1ePFihYaGsgUCAAAAgAql3O1zJ0knTpzQ/fffr4MHDyokJEQ2m02//fabjh8/LovForfffltdunQJ9DQBAAAAwG/KZbiTpJycHE2fPl0rV65Uenq6wsPD1bJlSw0YMECtW7cO9PQAAAAAwK/KbbgDAAAAAJxT7u65AwAAAAAUR7gDAAAAAAMQ7gAAAADAAIQ7AAAAADAA4Q4AAAAADEC4AwAAAAADEO4AAAAAwACEOwAAAAAwAOEOAAAAAAxAuAMAAAAAAxDuAAAAAMAAwYGeAC5ebm6upk2bphUrVuiXX35RpUqVlJiYqP79+6tly5aBnl5Avf7665oxY4bmzp1boWpx6NAhzZgxQxs3btTRo0cVHBys+Ph4de3aVb1791ZoaGigp+gXBw4c0PTp07VhwwZlZGQoNjZWrVu3Vp8+fdS8efNATy9g9u3bp+7du6uwsFCpqamBno5f2O12tWrVSmfOnCm1T9OmTbVw4UI/zipwnE6nPv/8cy1YsECpqak6ffq06tSpoy5duqh///4KCwsL9BR9pkOHDkpPT7+ovoMHD9aQIUN8PKPA+vXXXzVt2jStXbtWx48fV0REhK677jrdf//9uuWWWwI9Pb9KS0vTtGnTtH79emVmZqpmzZpq06aN+vXrp9q1awd6ej53Me+Zfv75Z7333ntav369srKyVK1aNbVr106PPfaYatSo4d8J+9ClvH988skntWLFCn377beqVq2afyZ4GQh35URubq4eeOAB7dq1S2FhYbLZbDp+/LhWr16tr7/+WuPGjdNdd90V6GkGxNdff61Zs2YFehp+t27dOj3xxBPKy8tTSEiIGjRooOzsbO3cuVM7d+7U8uXL9dFHHyk6OjrQU/Wp7du368EHH1R+fr4iIyPVqFEjHT9+XMuWLdPy5cs1evRo9e7dO9DT9Du73a5//OMfKiwsDPRU/CotLU1nzpxRRESEmjRpUmKf+Ph4P88qMAoKCvTUU09p9erVkqT69esrNjZWBw4c0KRJk/TNN99o1qxZxv6OSEhIuOCb0IyMDKWlpUmS6tWr56dZBcaePXvUp08fZWVlKTQ0VA0aNFBmZqY2bdqkTZs2qU+fPho1alSgp+kXa9as0ZNPPqnTp08rJCRENptNmZmZmjNnjj7//HO9++67+stf/hLoafrMxbxn2rdvn5KSkvT7778rJiZGNptNaWlp+uyzz7RixQrNnj1bNpvNPxP2oUt5/zhnzhytWLHCtxPyFifKheHDhzttNpuzV69ezhMnTjidTqfTbrc7Z8yY4bTZbM6EhATnzz//HOBZ+t/KlSudzZo1c9psNqfNZnN+//33gZ6SX5w8edJ5/fXXO202m3PYsGHO33//3dP23XffOW+++WanzWZzDh8+PICz9L3s7Gzn//7v/zptNptzxIgRzpycHKfT6XQ6HA7nzJkznTabzdmkSRPnjz/+GOCZ+t+0adM8Pxc2my3Q0/GbL774wmmz2ZyPPPJIoKcScBMmTHDabDbnn//8Z+d3333neXz79u3Ov/zlL06bzeYcN25cAGcYOAUFBc6///3vTpvN5hw1alSgp+NTdrvdefvttzttNpuzd+/ezuPHj3vaPvvsM+e1117rtNlszv/85z8BnKV/pKenO1u1auW02WzOBx54oEgtli1b5kxISHA2bdrUefDgwcBN0ocu5j1TQUGBs0OHDk6bzeZ88cUXnWfOnHE6nU5nTk6Oc+jQoU6bzea87bbbnGfPnvXz7L3rUt4/zp492/NzYrPZinzflEXcc1cOHDp0SF988YVCQkL01ltvKS4uTpJktVrVt29fde/eXQUFBZo+fXqAZ+o/OTk5evXVVzVkyJALXn5lqvnz5ys7O1sNGjTQ+PHjValSJU9bYmKixo8fL0launSpTpw4Eahp+tzq1av122+/qU6dOnrllVcUFRUlSbJYLHrooYfUrl072e12LViwIMAz9a/9+/dr8uTJCg8PD/RU/M59+akJnypfifT0dH388ceyWCyaMmWKEhMTPW3NmzfXyJEjJUkLFy6Uw+EI1DQD5t1339WOHTvUoEEDPffcc4Gejk/t2rVL+/btkyS99dZbRS4nu/fee9WtWzdJqhC/J2fOnKnc3FzVqlVLU6ZMKVKL22+/XX379lVhYaEmTJgQwFl636W8Z1qyZImOHDmiRo0aacyYMZ7bO6KiovT666+rXr16OnDggL788kt/TN3rLqUWJ0+e1NNPP62XX35ZTqfTTzO8coS7cuDzzz+X3W7XTTfdpJo1axZrv/feeyVJq1at0tmzZ/09Pb/bs2ePOnXqpH/9618KCwvTq6++Gugp+V1KSookqWPHjgoJCSnWfuONNyoqKkpOp1O7du3y9/T8Jjo6+oL3F7rf4P/666/+nlrAOBwOjRo1SgUFBXriiScCPR2/I9y5fPHFFzp79qz+9re/qVWrVsXaO3TooCFDhuipp55SQUFBAGYYOKmpqfrwww9lsVj0yiuvKCIiItBT8qmjR49KkmJjY0u8TLVZs2aSpF9++cWv8wqEdevWSZJ69epV4uXIDz74oCTXpZtZWVn+nJrPXOp7pkWLFkmSunfvLqu1aEwICQnR3//+d0mu3zHlzaXUYv369br11lu1bNkyVa5cWc8//7wfZ3plCHflwPbt2yWpyCev52vWrJlCQkKUlZWlvXv3+nNqAXHkyBGdOHFCN910kxYvXqwePXoEekp+N2TIEE2YMEG33357ie3nf8Jk8qfyHTt21FtvvaWHH364xPadO3dKkurWrevPaQXUrFmztG3bNvXu3VvXX399oKfjd+7fgRU93G3YsEGSSl0oIzIyUoMHD1ZSUlKFO8M7YcIEORwOdevWTTfccEOgp+NzV199tSQpMzPTE/TO5/6Zueaaa/w6r0Bwf9CXkJBQYntcXJwqV64su93u+ftR3l3KeyaHw6EdO3ZIKv09p/vDos2bN3t/sj52KbXYt2+fcnJy1LlzZy1btkw333yzH2d6ZVhQpRxw3/Bdp06dEtuDg4NVvXp1paenKy0tTdddd50fZ+d/devW1ccff6w///nPgZ5KwLRo0UItWrQotX3dunXKzc2VJDVq1Mhf0yozTp48qSlTpmjTpk2qVKmSkpKSAj0lvzh48KD++c9/qlatWho2bJjnUqyKIicnR+np6QoKClJkZKQmT56sHTt2qKCgQHXr1lXXrl31pz/9KdDT9Av3G/ZGjRopLy9Pn3/+uTZu3Kjff/9ddevWVbdu3Spk+F+3bp3Wr1+v0NBQDRs2LNDT8YuEhAQ1bdpUu3bt0ogRI/TOO+/oqquukiR9+eWXWrBggSwWi+6///4Az9R/LnSVk7vtYldaLesu5T3T0aNHlZ+fL6n095y1atWS5Pp9e+LECc/3UnlwKbVo1qyZFixY4Pkg4MiRI76entcQ7sqBjIwMSa5LKkoTExOj9PR0ZWZm+mtaAVPRP5H/I6dPn/bcL5CYmFjqL2gTff7555o6daoOHz6swsJCNWrUSK+99lqFWNrafTlmfn6+xo4d67n/sCLZs2ePJNc9l3feeWeR+yk2bNigzz77THfffbdeeumlEi9nNkVBQYFOnjwpyXW25s4779Thw4c97Rs3btTcuXP18MMP69lnnw3UNAPigw8+kCTdddddRi3nfiEWi0XTpk3TiBEjtHHjRrVv314NGjTQqVOndPToUVWrVk3/+Mc/1LZt20BP1edq166tn376SampqWrXrl2x9iNHjigvL0+SdOrUKX9Pzycu5T2T+/2mVPp7zipVqni+zszMLFfh7lJqUZ4//OKyzHLA/SnKhfYjcredPn3aL3NC2WS32zVixAjt379fwcHBeuaZZwI9Jb/asWOHDhw44Fn+PzMzUxs2bChXN0JfrtmzZ2vr1q26++67jV7G+0LcZ6vOnj2rv/71r1q4cKF27NihtWvXasSIEQoNDdXChQuNWyzhv+Xk5Hi+HjFihAoLCzV58mRt27ZNGzdu1PDhwxUcHKyZM2dWqG1k9uzZo//3//6frFarHnnkkUBPx69CQ0PVokULRUREqKCgQKmpqUXuxTN5v8PztW/fXpL08ccfKzs7u1j71KlTPV9XtG1kpHPvN4ODgxUcXPL5n/Mv4+Y9Z9lEuCsHgoKCJOmCb1DdbRaLxS9zQtlTWFio4cOH6z//+Y8k6emnn65QG7pLUr9+/bR9+3Z99dVXevrpp/X777/rnXfe8aweaqqff/5Z77zzjqpVq1bhzsScr0GDBkpKStLgwYP17rvvqmnTpgoNDVWNGjXUr18/T6j79NNPdejQoQDP1nfOP2OZnZ2tDz/8ULfccosiIiJUtWpV9e/fX4MHD5YkTZ48uUgYNNknn3wiyXWvbv369QM7GT/KysrS/fffr6lTp+p//ud/NGfOHO3YsUPffvutnn32WR06dEiPP/64Pv7440BP1ecefvhhxcXF6bffflOfPn20ZcsWFRQU6OjRo5owYYLmzZunmJgYSTL67H5p3AuoXMz7TYn3nGUV4a4ccK/kdaEVzdxtFe3GeLjk5ubq0Ucf9SxNPHDgQPXt2zfAs/K/q6++WuHh4apVq5YGDBjgWd3qk08+Meb+if/mdDo1evRonT59Wi+88EKRS2YqmjZt2uiFF17QkCFDSmzv0qWL6tevL4fDoa+//trPs/Of8/8O3HbbbWrcuHGxPn379lV4eLiys7PL5cIIl8put3s++HIv/V9RfPjhh9q7d69q166tjz76SImJiQoNDVW1atX08MMP6+2335YkvfHGG8avLBwXF6epU6fqqquu0q5du9S7d281a9ZMN998s2bNmqUhQ4boxhtvlKQKeWl7ZGSkJNfPS2n3JZ7/4ZHpK82WV4S7csB93fOFluV1t1WtWtUPM0JZcvz4cfXu3duzxPPQoUMrzEIBf+See+5RTEyMzp49q++//z7Q0/GJf//730pJSVGnTp1KXRkR5zRp0kSS2cu+R0dHez6Bv/baa0vsExYW5llFtjwtFHC5vvvuO2VlZalSpUol3mtlMneo7du3r+fN+/k6duyoJk2aqLCwUKtWrfL39PyuefPmWr58uYYPH6727durbdu2euCBB7Rw4UINHjxYv/32myRVmHsyz3f+fXalvec8/3Hec5ZNLKhSDsTHx+vQoUOl/gEuLCzUsWPHJKlCXWoC1+qIjzzyiGeFwBdffFH33HNPoKflNzk5Ofr555919dVXl/pHpl69esrKyjJ2M/cVK1ZIklauXFnqG3np3Jv81157TXfffbdf5hYIZ8+eldPpLPWSKvclRaXdT2KCkJAQ1alT5w8vPXVfUmVyLdzcZ2o7duxY4p6YJnN/kBEfH19qn4YNG+rHH3809gqH/1a5cmX1799f/fv3L/L42bNnPXtllnTG23Q1atRQVFSUcnNzlZ6eXuJiKe7vkcqVKxPuyijO3JUD7g1Gt23bVmL7jh07dPbsWUVFRVXIX0YV1ZEjR9SnTx+lp6crPDxckydPrlDBTpKSkpLUvXt3z6arJXF/8FG9enV/TcuvbDabEhMTS/zv/LDnfiwuLi6As/Wtrl27KiEh4YKLhLhX1DR9ixD3340ffvihxHa73e5ZQbMi7APpPnPvvuSuIqlUqZIkec5IlcS9SmJJG3ubZMuWLZo5c2aplyJv3rxZubm5qlmzpurVq+fn2ZUN7t8dpV3t4n78QtsxIbAId+XAbbfdJklau3ZtiZcSzZ07V5LrjU1F+AQWrmveH330UR07dkzR0dGaMWOGOnToEOhp+V2bNm0kSfPnz5fdbi/WvmrVKh09elRhYWGevqYZM2aM5syZU+J/L730kqef+7HytBHrpbLZbHI6nVq6dGmJ94usXr1aaWlpCg8P96yaZ6quXbtKkr755hsdPHiwWPvChQuVl5enmJgY4/f+s9vtnlDftGnTAM/G/9yBdt68eSUulHH48GFP2DE9/G7atEnjx48vsiqmm9Pp1LRp0ySpwuyNWpJOnTpJKvnvamFhoRYuXCjJtZ0IyibCXTnQsGFDderUSYWFhRo8eLDnhmeHw6GZM2dq8eLFCg0NVb9+/QI8U/jLtGnTtHfvXlksFr355pu64YYbAj2lgHjooYcUGRmpAwcOaOTIkUWWtv7qq680atQoSdKAAQMuuE8kzNC3b19ZrValpqbqueeeK7IK5FdffeVZSbQifD/89a9/VevWrVVYWKhBgwZ5LjWTXGcn3nzzTUmuxZdMv0wxLS1Np0+fltVqVcOGDQM9Hb8bOHCgQkJClJKSojFjxuj333/3tP3www/q16+fCgsL1bp1a+PD3R133KHg4GB9++23+vTTTz2P5+bm6oUXXtDGjRt1zTXXVKgN3f9b9+7dVbNmTe3bt8+zd6ok5eXlaeTIkTp06JAaNGigzp07B3imKI3FWRE2gDLAiRMndP/99+vgwYMKCQmRzWbTb7/9puPHj8tisejtt99Wly5dAj3NgHFffjZ37lzjl/8vKChQ27ZtderUKYWHh+u66667YP8nnnjC2LNWkrRmzRoNHTpUeXl5Cg8PV3x8vLKysjxnuXv27KmXX365Qi7ZvG3bNt17772SVOTNvcnmzp2rsWPHym63KyIiQg0aNCjy/XDPPffopZdeqhDfDydOnNDDDz/s+SCoYcOGcjgcOnDggCTX2b033njDs/iKqTZu3KiHHnpIlStXrhArg5bkyy+/1LPPPqszZ84oLCzM83vS/WFxkyZNNGPGDKMv23abOXOmZ3uc6tWrq1q1ajp48KDy8vJUrVo1zZ49Ww0aNAjwLH3rj94zfffdd+rXr5/y8vJUqVIl1atXT2lpacrJyVFMTIz+/e9/G/NBycW+fzxy5Ij+9re/SZK+/fZbVatWzR/Tuyxcw1dOXHXVVZo/f76mT5+ulStXau/evQoPD9df/vIXDRgwQK1btw70FOEne/fu1alTpyS5NhzdunXrBfu776Uw1c0336xFixZp+vTpWr9+vfbt26eoqCi1a9dOSUlJxl9+h6LuvfdeNW3aVDNnzlRKSor27t2r6OhotWvXTr169fL8ca4I3H83Zs+erWXLlunQoUMKDg7W9ddfr3vvvbfCbAmQmZkp6dy9ZxVRly5ddO2112rmzJnasGGDfvrpJ4WEhKh58+a6/fbbdd9991WYjcwffvhhxcfHa9asWfrhhx+UmpqqmjVrqkOHDhowYECFCLh/5Prrr9fixYs1ZcoUrV+/Xnv27FFsbKxuueUWPf7446pTp06gp4gL4MwdAAAAABjA7GsxAAAAAKCCINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAYgHAHAAAAAAYg3AEAAACAAQh3AAAAAGAAwh0AAAAAGIBwBwAAAAAGINwBAAAAgAEIdwAAAABgAMIdAAAAABiAcAcAAAAABiDcAQAAAIABCHcAAAAAYADCHQAAAAAY4P8D4b3EBXZqgoIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 333,
       "width": 443
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(flights_wide[1955].to_numpy())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "794ade06-8071-4657-b549-2875a0181d08",
   "metadata": {},
   "source": [
    "To get the old behavior, simply assign the vector to the `y` variable."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c94db906-2ad0-433a-a9c4-8a81a4b3aacd",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da55b69b-76b2-4959-a1e7-48f5434cad25",
   "metadata": {},
   "source": [
    "## Default colors\n",
    "\n",
    "<span style=\"color: #c44e52\">This is a change to default behavior.</span>\n",
    "\n",
    "Currently, each bar recieves a distinct color; in effect, there is a redundant mapping of the `x` or `y` variable to `hue`.\n",
    "\n",
    "In v0.13.0, `barplot` will act more like seaborn's other functions and plot all bars in a single color by default:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "146cd5dc-3ca0-43c4-a5cf-e18029793513",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='color', ylabel='price'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 467
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(diamonds, x=\"color\", y=\"price\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e66c912c-5ec1-4982-b8fa-b236d850d70a",
   "metadata": {},
   "source": [
    "To retain the previous behavior, explicitly assign the `x` variable to `hue`. You'll probably also want to disable the legend (which is a new feature):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1e0f4563-23f8-4b71-bd0b-46eca7d196d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='color', ylabel='price'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 467
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(diamonds, x=\"color\", y=\"price\", hue=\"color\", legend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4342311-2f78-4346-be7a-125977701ffb",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26164824-2c47-488a-a63b-396756c81a7c",
   "metadata": {},
   "source": [
    "## Bars are only dodged when necessary\n",
    "\n",
    "<span style=\"color: #c44e52\">This is a change to default behavior.</span>\n",
    "\n",
    "When the `x` and `y` variables are redundantly mapped, or in any other case where each `x` level has a unique `hue` level associated with it, bars will *not* be dodged by default. This removes a common gotcha in the existing code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "61707d52-7fb5-4f89-92e1-8819b3783814",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", hue=tips[\"day\"].isin([\"Sat\", \"Sun\"]).rename(\"weekend\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9669405-ad42-4855-9910-7c656ea3a9e8",
   "metadata": {},
   "source": [
    "Bars still dodge by default when necessary:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d4e075d2-5cdf-4780-b6b2-93e9d119e518",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", hue=\"sex\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "287284da-37df-4ed9-96b4-68afa41c2ba4",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## Preserving the native scale of the data\n",
    "\n",
    "<span style=\"color: #4c72b0\">This is a new feature.</span>\n",
    "\n",
    "Seaborn's categorical plots have historically _only_ supported categorical positioning, even for numeric data. While that will remain the default behavior for these functions, there is now a `native_scale` parameter that, when set to `True`, preserves the original units and scale:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f9dd5046-c59d-4a57-883d-567c0f4ed58b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2. 3. 4. 5. 6. 7. 8. 9.]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 460
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(mpg, x=\"cylinders\", y=\"horsepower\", native_scale=True)\n",
    "print(ax.get_xticks())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfb430e7-f23b-42f3-8cdc-4b5e499eec19",
   "metadata": {},
   "source": [
    "Using this feature will make it possible to combine plots from categorical functions with other functions that do not default to a categorical scaling:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6ee3a6af-5198-4da9-a36c-a698c934ec2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='year', ylabel='passengers'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 460
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(flights, x=\"year\", y=\"passengers\", native_scale=True)\n",
    "sns.lineplot(flights, x=\"year\", y=\"passengers\", estimator=\"max\", errorbar=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa26f6e8-41e1-4c5a-bcff-1cb15a241695",
   "metadata": {},
   "source": [
    "Note that the `width` parameter (along with `capsize`) will be proportional to the minimum spacing between datapoints:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ec260469-bda4-4ba8-9035-c57ee2574f61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='year', ylabel='passengers'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 460
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(flights, x=\"year\", y=\"passengers\", native_scale=True, width=.95, capsize=.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c237001-8b67-4bfa-ab3c-7fb3f9d3c187",
   "metadata": {},
   "source": [
    "The `native_scale` parameter does not just support numeric data; it should work with any types supported by matplotlib:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "73978a96-3d1d-435a-bcb9-1fe7d604b710",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 466
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(x=taxis[\"pickup\"].dt.date, y=taxis[\"fare\"], native_scale=True)\n",
    "ax.xaxis.set_major_locator(mpl.dates.DayLocator(interval=7))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71618f2f-4dcd-4fec-97f7-05317cb57f2a",
   "metadata": {},
   "source": [
    "It even supports log-scaled axes, including with dodged bars (this was annoying!):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fd8faf3d-781c-4464-a90a-f5209b161ea8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='size', ylabel='total_bill'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 356,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "ax.set_xscale(\"log\")\n",
    "sns.barplot(tips, x=10 ** tips[\"size\"], y=\"total_bill\", hue=\"sex\", native_scale=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8cf2472-0acc-4af1-bac5-9dddcd7fadc9",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## Scale-appropriate statistical estimation\n",
    "\n",
    "<span style=\"color: #c44e52\">This is a change to default behavior.</span>\n",
    "\n",
    "There has also been a change to the treatment of nonlinear scales on the value axix. Previously, the statistical computation ignored the axis scale. Now, if the axis has a log scale, the estimate will be performed in log space:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5b0d48db-dfbf-4755-949f-564aaed3eb72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='color', ylabel='price'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 475
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots()\n",
    "ax.set_yscale(\"log\")\n",
    "sns.barplot(diamonds, x=\"color\", y=\"price\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bec0a69-87b2-41f3-9b3f-2071dffb27f1",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## Sequential color mapping for numeric data\n",
    "\n",
    "<span style=\"color: #c44e52\">This is a change to default behavior.</span>\n",
    "\n",
    "Consistent with seaborn's relational and distribution functions, a sequential palette will be applied by default for numeric data (pass the name of a qualitative palette, e.g. `\"deep\"`, to revert to the previous behavior):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0a86a594-487a-4b0a-b37f-3db588f41354",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", hue=\"size\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a8c2c83-a77b-485e-8e8b-611a5f16f505",
   "metadata": {},
   "source": [
    "The function also gains a corresponding variable, `hue_norm`, for parameterizing the sequential mapping:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "52dd1fd1-b1fa-4f56-8d3a-7b124d036396",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", hue=\"size\", hue_norm=(0, 7))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2fb2b6a-ff1b-4740-b719-4722eaad66af",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## More flexible data specification\n",
    "\n",
    "<span style=\"color: #4c72b0\">This is a new feature.</span>\n",
    "\n",
    "These plots now support some patterns of nonstandard data specification. For example, dataframe indices can be referenced directly without calling `reset_index`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a366eaa4-fee8-4805-aec8-33efc2e31d02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 463
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tips_agg = tips.groupby(\"day\").mean(numeric_only=True)\n",
    "sns.barplot(tips_agg, x=\"day\", y=\"total_bill\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bbd3fa3-879e-4130-aeca-6b31b778d83c",
   "metadata": {},
   "source": [
    "Additionally, `catplot` with `kind=\"bar\"` now supports vector data assigned directly to variables:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "868ffd3d-422c-43a0-88c0-62778f9bd26a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x16bbbb8b0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x400 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 389,
       "width": 467
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=tips[\"day\"], y=tips[\"total_bill\"].to_numpy(), col=tips[\"sex\"].to_list(), kind=\"bar\", aspect=.6)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c7f6048-1dd5-47fe-88c4-daf51251c887",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## More flexible parameterization of error bar appearance\n",
    "\n",
    "<span style=\"color: #4c72b0\">This is a new feature (with gradual deprecation of existing parameters).</span>\n",
    "\n",
    "The error bars in `barplot` previously had only minimal parameterization, accepting only `errcolor` and `errwidth`. These have now been deprecated in favor of a full `err_kws` dictionary, which is passed through to `mpl.lines.Line2D`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7765309f-46c2-480b-8561-d408d22c3bba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", err_kws=dict(lw=4))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13831ee4-4ef8-4c2e-a9f6-c72d4a70110f",
   "metadata": {},
   "source": [
    "The existing parameters continue to work, but they will warn about upcoming removal:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4381cb08-ee23-4b90-9ffa-9ad820e295c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/qk/cdrdfhfn5g554pnb30pp4ylr0000gn/T/ipykernel_47273/3135574259.py:1: FutureWarning: \n",
      "\n",
      "The `errwidth` parameter is deprecated. And will be removed in v0.15.0. Pass `err_kws={'linewidth': 4}` instead.\n",
      "\n",
      "  sns.barplot(tips, x=\"day\", y=\"total_bill\", errwidth=4)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", errwidth=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b4aee6c-58ea-494d-a36e-018f831038f8",
   "metadata": {},
   "source": [
    "Additionally, as an implementation detail, error bars with caps are now drawn using a single line artist rather than a combination of three separate artists:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "16daad20-603f-4b22-83cf-7802d229a4c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Axes.ArtistList of 4 lines>\n",
      "[-0.1  0.1  nan  0.   0.   nan -0.1  0.1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(tips, x=\"day\", y=\"total_bill\", capsize=.2)\n",
    "print(ax.lines)\n",
    "print(ax.lines[0].get_xdata())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4449231b-b64d-4f53-a011-6470f2af8635",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## Use of matplotlib's unit conversion machinery\n",
    "\n",
    "<span style=\"color: #c44e52\">This is a change to default behavior.</span>\n",
    "\n",
    "Because seaborn's categorical functions actually predate support for categorical data in matplotlib, they previously handled the conversion to a plottable representation (integer indices) internally. With the refactor, these plots now hook into matplotlib's unit conversion system. This should mostly be transparent to the user (matplotlib's system also internally represents the categories with 0-based integers), but some customizations will work better. For instance, adding additional artists using the category values will work as expected:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ec767b0e-12be-4380-8ee0-c97933a8d139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x16becc9d0>]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 460
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(mpg, x=\"origin\", y=\"horsepower\")\n",
    "ax.plot(\"europe\", 90, \"*\", color=\"g\", ms=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "885efc55-f6f0-4984-b5b6-788d59e17f05",
   "metadata": {},
   "source": [
    "Seperate plots will build on the existing categorical mapping rather than overwriting it. (Also the plots now follow the color cycle, which was not previously the case):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "61d10a1c-0b0e-4662-9724-b410c184be70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='origin', ylabel='horsepower'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 460
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(mpg, x=\"origin\", y=\"horsepower\")\n",
    "sns.barplot(x=[\"korea\"], y=[85])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ca968b5-4acb-45e7-b508-4d6403f4fdba",
   "metadata": {},
   "source": [
    "----\n",
    "\n",
    "## Deprecation of idiosyncratic color parameterization\n",
    "\n",
    "Two behaviors that involve an explicit parameterization have been formally deprecated, but they will continue to behavior as they previously did (with a warning) for one release cycle.\n",
    "\n",
    "The first is the application of a palette without assigning `hue`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d4519cc6-be7a-429b-896d-4e7d7a28a8ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/qk/cdrdfhfn5g554pnb30pp4ylr0000gn/T/ipykernel_47273/1000784100.py:1: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(tips, x=\"day\", y=\"total_bill\", palette=\"muted\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 350,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", palette=\"muted\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "304cf0b2-66df-45c2-afe6-3a28d26b3d6d",
   "metadata": {},
   "source": [
    "The second is selecting a gradient palette by passing `color` rather than `palette` when `hue` _is_ assigned:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "85d996ea-b91e-45b6-9a94-ba42c9440003",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/qk/cdrdfhfn5g554pnb30pp4ylr0000gn/T/ipykernel_47273/2254697911.py:1: FutureWarning: \n",
      "\n",
      "Setting a gradient palette using color= is deprecated and will be removed in v0.14.0. Set `palette='dark:lightblue'` for the same effect.\n",
      "\n",
      "  sns.barplot(tips, x=\"day\", y=\"total_bill\", hue=\"size\", color=\"lightblue\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 512x384 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 351,
       "width": 453
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(tips, x=\"day\", y=\"total_bill\", hue=\"size\", color=\"lightblue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc860029-ca80-4e1c-b6b6-6e61b487718f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py310",
   "language": "python",
   "name": "py310"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}