{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# physt: Notebook to support the PyData Berlin 2018 talk\n",
    "\n",
    "Please, install physt 0.3.40+ and \"Quicksand\" font."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pprint import pprint\n",
    "\n",
    "import physt\n",
    "from physt import h1, h2, h3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Matplotlib \n",
    "def update_matplotlib_rc(size=16):\n",
    "    font = {'size': str(size), 'family': 'Quicksand'}\n",
    "    plt.rc('font', **font)  # pass in the font dict as kwargs\n",
    "    \n",
    "mpl.font_manager._rebuild()\n",
    "update_matplotlib_rc()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Matplotlib shortcuts\n",
    "def create_axis():\n",
    "    return plt.subplots(figsize=(7, 5))\n",
    "\n",
    "def square_axis():\n",
    "    return plt.subplots(figsize=(5, 5))\n",
    "\n",
    "def save_fig(fig, path):\n",
    "    fig.tight_layout()\n",
    "    fig.savefig(path)\n",
    "    print(\"Saved {0}\".format(path))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data used in the talk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Basic properties of people in Fakeland\n",
    "\n",
    "np.random.seed(42)\n",
    "\n",
    "# Number of adults in Fakeland\n",
    "FAKELAND_POPULATION = 1000\n",
    "\n",
    "# Heights of people in Fakeland\n",
    "heights = np.random.normal(172.7, 12.5, size=FAKELAND_POPULATION)\n",
    "\n",
    "# Weight of people in Fakeland (correlated with height)\n",
    "weights = (heights - 100 +\n",
    "           np.random.normal(0, 12.5, size=FAKELAND_POPULATION))\n",
    "\n",
    "# I.Q. of people in Fakeland (uncorrelated)\n",
    "iqs = np.random.normal(100, 15, FAKELAND_POPULATION)\n",
    "\n",
    "# Number of children\n",
    "children = np.random.poisson(1.35, FAKELAND_POPULATION)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Additional data\n",
    "TRUELAND_POPULATION = 500\n",
    "trueland_heights = np.random.normal(194, 5, 500)\n",
    "\n",
    "basketball_heights = np.random.normal(220, 15, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Country data for exponential histograms\n",
    "countries = pd.read_csv(\"../data/countries.csv\", skiprows=4)\n",
    "countries = countries[[\"Country Name\", \"2016\"]]\n",
    "countries.columns = [\"Country\", \"Population\"]\n",
    "countries.sort_values(\"Country\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examples of non-histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar-plot.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff84d6fd588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar plot 1\n",
    "t = [0, 10, 20, 30, 40, 50]\n",
    "b = [98, 78, 65, 92, 85, 110]\n",
    "\n",
    "fig, ax = create_axis()\n",
    "ax.bar(t, b, width=8, linewidth=1, color=\"#8080ff\", edgecolor=\"#000080\")\n",
    "ax.set_xlabel(\"Time [min]\")\n",
    "ax.set_ylabel(\"Boringness [%]\")\n",
    "ax.set_title(\"How boring is this talk\")\n",
    "\n",
    "save_fig(fig, \"../images/bar-plot.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar-plot2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff84d6fd9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar plot \n",
    "t = ['matplotlib', 'numpy', 'pandas', 'physt', 'scipy', 'seaborn']\n",
    "b = np.array([7491, 7545, 14882, 22, 4595, 5000])\n",
    "\n",
    "fig, ax = create_axis()\n",
    "\n",
    "ax.bar(t, b+100, color=\"red\", linewidth=1, edgecolor=\"#800000\")\n",
    "ax.set_ylabel(\"Stars\")\n",
    "ax.set_title(\"Popular libraries at GitHub\")\n",
    "\n",
    "for tick in ax.get_xticklabels():\n",
    "    tick.set_rotation(20)\n",
    "\n",
    "for i, v in enumerate(b):\n",
    "    ax.text(i, v+250, str(v), va=\"bottom\", ha=\"center\")\n",
    "ax.set_ylim(0, max(b) * 1.2)\n",
    "\n",
    "save_fig(fig, \"../images/bar-plot2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/kde.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff8310d73c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# KDE\n",
    "fig, ax = create_axis()\n",
    "\n",
    "x = np.random.normal(172.7, 12.5, size=1000)\n",
    "sns.kdeplot(x, shade=True, ax=ax, color=\"green\")\n",
    "\n",
    "ax.set_title(\"Height of people in Fakeland\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Fraction\")\n",
    "\n",
    "xlim = (140, 230)\n",
    "ylim = (0, 0.05)\n",
    "\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_ylim(ylim)\n",
    "\n",
    "save_fig(fig, \"../images/kde.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/histogram1.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff830cbebe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Real histogram\n",
    "\n",
    "fig, ax = create_axis()\n",
    "\n",
    "H = physt.h1(x, \"fixed_width\", 2).normalize()\n",
    "H.plot(density=True, ax=ax, ylim=ylim, label=\"histogram\",\n",
    "       lw=1, edgecolor=\"black\")  # , zorder=1000)\n",
    "\n",
    "ax.set_title(\"Height of people in Fakeland\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Fraction\")\n",
    "\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_ylim(ylim)\n",
    "\n",
    "save_fig(fig, \"../images/histogram1.svg\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/histogram_and_kde.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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lwk51dTU5OTmkpaURGRmJiNgdkrKBMYaqqioyMzPxeDx4vd5O12nrU5uUUqo3ycvLIykpiaioKE3E/ZiIEBUVRWJiInl5eV1SpyZjpZRqp+rqamJiYuwOQ4WJ2NhYqqu7ZuasJmOllGqn+vp6XC7t3VMWl8tFfX19l9SlyVgppTpAm6dVo678LGgyVkoppWymyVgppZSymSZjpZTqx+655x5WrFjR4eOmTJnSDdH0X5qMlVKqH8vPz6ewsLDDx+3fv78boum/NBkrpZRSNtNkrJRSStlMk7FSSqmTzJ49m5/85CcA1NbWcu+995KamkpCQgI33ngjBQUFzY7Zu3cv3/72t4mLi2PIkCH86le/ory8vKdD77V09rpSSnXCsgPLyC7PtjWG1JhULjv1si6p64knnmD27Nl88MEHANxwww04HA42bdpEcnIyb731FtOnT8fn8504JjMzk2uuuYa//vWvvPPOO+Tm5vLkk09y5ZVXsnLlSp2b3Q56Z6yUUgqAhx56iNdee401a9YwfPhw1q5dy969e3n99ddJS0sjIiKCG264gRtuuIGqqqoTxz388MM8+eSTXH755URERJCWlsYTTzxBfHw8q1atsu8N9SJ6Z6yUUp3QVXekdrvnnnvYsGEDH3/88YnHAi5btowf/OAHzZYAnTFjBnfeeeeJ18uWLWPOnDnN6vT5fFx99dXdG3gfoclYKaX6uYceeoiCggK++tWvEhsbe2J7bm4uY8aMaVY+KiqKhISEk8qVl5frut2doM3USinVz40fP55Dhw5RXFzM3XfffWJ7cnIyWVlZzcpXVlZSVFR04nViYiI7duzokVj7Kk3GSinVz1177bXExMSwcOFClixZwrPPPgvApZdeyty5c2loaDip/GuvvXbS04quuOIKZs6c2azejz76iJycnO4Nvo/QZKyUUgqAgQMHsmTJEv70pz+xbNkyLrjgAkaPHs1NN91EVlYWdXV1zJs3j7feeouoqKgTxz300EMsW7aM+++/n4KCAurq6njppZe45ZZbdCR1O2kyVkqpfiwxMZGBAweeeD169GgWLFjA448/DsDcuXNJTU1l6tSpJCcns2TJEubNm3dSX3JKSgobNmwgMzOT8ePHM2jQIN59911WrVpFcnJyj7+n3kiMMXbHEBamTZtmNm3aZHcYSqkwtnv3bsaPH293GCqMtPWZEJHNxphpbdWjd8ZKKaWUzTQZK6WUUjbTZKyUUkrZTJOxUkopZTNNxkoppZTNNBkrpZRSNtNkrJRSStlMk7FSSillM03GSimllM00GSullFI202SslFL91LXXXsuePXvsDkMB+iRopZTqpAcffYzM7Hzbzp+WmshDv7u3w8fl5uZSXFzcDRGpjtJkrJRSnZSZnc/E795q2/nTF73QLfVOnz6d6667juuvv75d5ceMGcO+ffu6JZa+TpOxUkqpoBYuXNih8kePHu2mSPo+7TNWSql+rK6ujvvuu4/k5GSGDh3KAw88QOOjdX/0ox/xxRdfnCj74YcfMmHCBCIjI5kyZQqLFy8G4M9//jNer5eamhq8Xi9jx449cUxtbS0PPPAAI0aMIDY2lgsuuIBVq1Y1i2PVqlV87WtfIyYmhjFjxjBr1iy2b9/OjBkzTpS57rrr2LNnD3/7298YNmwYl1122Yl9a9euPXH8+PHjefXVV3n99dd54IEHTpS54IILyMjI4Oabb2bAgAGMGDGCOXPmAPDuu+8yZcoU4uLi+MY3vsGhQ4e65gK3kyZjpZTqx375y18yZMgQMjIyWLduHYsXL+a1114DID8//0Sf8p49e7jllluYO3cupaWl/N///R/33XcfeXl53H///VRXV+PxeKiurmbv3r0AGGO46qqr2L9/P2vWrKGoqIg//OEP3Hzzzbz//vsnYli5ciU/+MEPuO+++ygqKuKTTz5h+/bt3HXXXeTm5p4ol5OTw2OPPUZWVhb79u1j2bJlAGzYsIGrr76ae+65h6KiIpYtW8abb77J008/fdLxGRkZXHXVVVxxxRUUFBTw5ptvcvfdd3P//ffzxhtvsHjxYo4fP87555/PTTfd1O3XPpAmY6WU6se+973vceedd+LxeBgxYgQPP/wwc+fObVYuPT2dr33ta0yePBm32803vvENtm/fTlJSUot1L1y4kOLiYl5//XWGDx+Oy+XikksuYeHChdxxxx00NDQA8Itf/IJXX32VK664ArfbzeDBg5k1axZer7dZnZmZmTz55JNERkae2Pbb3/6Wp59+munTp+N2uxkxYgTz588nLy+v2fF33nkn3//+93G5XJx77rnccsstzJ8/n1deeYUhQ4YQHR3Nww8/zIEDB8jJyQnlkoZEk7FSSvVj3/rWt056PXbs2KB9v+effz7r1q3jlVdeoaampl11v/vuu9x+++2IyEnbzzzzTNLS0ti0aROHDh2itraWb37zm82O//GPf9xs2623njxQrqamhi1btjB9+vSTtns8Hm644YZmx//Hf/zHSa9PO+00LrjgAlyufw+hcjqdnHrqqWRmZrb9JruIrclYRMaJyHIRKRaRgyJyRytlRUTuFZEjIlIkIotEZFQb9d8qIq90feRKKdU3BCahxtd1dXXNyqWmprJq1So+/fRTxo0bx7XXXsuuXbtarTs7O5vhw4cH3Td8+HCOHz9OTk4Ow4YNC1omLS2t2bamZQsLCxk0aFCz99HS8cHer9vtblbO7XYHvQ7dxbZkLCJJwFLgFSARuAi4XkTubOGQ+4BLgQuAZOAdYJmIDGih/jOAvwMtt6EopZRqt5EjR/Lcc8+xf/9+rrnmGi677LJWR1CnpKS0uD8jI4OUlBRSUlLIyMgIWibYnWnTu+yBAwdSUFBAfX190HP0FnbeGf8SWGCMedUYU2+MOQxcB/xeRKICC4pIPPAr4DpjTIYxps4Y8yKwEvhp04pFJBp4DfhLt78LpZTqB9asWXOiedrlcnHNNddw4YUXsn79+haPueKKK5g9e/aJ0dmN0tPTOXLkCGeffTannHIKbreb1atXNzv+X//6V5txeTwezj77bBYsWHDS9tra2qB93+HKzmQ8HXg5cIMxJgvYDFzYpOwlwGpjTNMlbl4GrgpS97PAq8BnXRKpUkr1c2+//TZXXnkl+/btwxjD5s2b+eSTTzjzzDNPlPF4PBw+fPjE66uvvhqPx8OMGTPIyMigoaGBDz/8kCuvvJJ//OMfJ5qMn3rqKW644QaWLl1KfX09OTk5/PznPwea3wkH85e//IW77rqL999/n/r6ejIyMrj++usZMmRIF1+F7mPLoh8i4gFGGWO2B9m9GZgCLAnYNhnYFKTsFuAMERHj/+olIjOAVOBHwDe6Mm6llAomLTWx21bBau/5Q5GUlMSAASf39EVHRzN48GAAEhMTiY+PB+CJJ57gscce49JLLyU3N5cxY8bwzDPPcNppp5049o477mDixIn87W9/42c/+xkOh4NFixbx4IMPct5551FUVMSkSZN49tlnufTSS08cd/HFF/Pyyy/z+9//nmuuuYbU1FTuuusuvvnNb550x5ucnNwsXoBp06bx5ptvcu+993L99dczbNgw/vjHP1JfX3/S2ttDhw4lKuqkhlcSEhIYNGhQu65Nd5KmzQc9clKRVGCjMaZZr72I/BwYbYy5K2Dbc/7yLwYpn+8vXyIi44BFwNeMMbkiciHwW2PMZU2P8x97G3AbwPDhw8/68ssvu+DdKaX6qt27dzN+/Hi7w+g3br31VqZNm8btt99udygtauszISKbjTHT2qonXKc2dfQbghERLzAXuN0Yk9vWAQDGmNnGmGnGmGmtzZVTSinVfcrKyvj9739Peno6Pp+PnJwcHn74YdavX3/SClx9mV3JuBBrBHUwKUBBk215/u0nEREXEAOUAZcDE4HFIlItItXACuBiESltaxqUUkope8TGxjJ48GBuuukm4uLimDx5MhkZGaxatapZs3JfZUufsTGmVkT2i8gkY8yOJrunAjObbNsK/CBIVVOAbf7+4oXASZPF2mqmVkopFR7uuOMO7rijxaUm+jw7m6nfBk5qf/D3JU8FPmlSdiVwvog07WWf4a9HKaWU6rXsTMYzgekicoOIOEVkJDAPeMQYUykiP29ckcsYUwo8AbwhImki4haRm4GLgedsil8p1Q/ZMehVhaeu/CzYloyNMQXAd4AfYvUhfwi8aYx5xl9kMNYUpcbyjwHLgbVYfchXAZf7E3VLioHsro9eKdUfud1uqqqq7A5DhYmqqqqgS2mGwpapTeFo2rRpZtOmYFOZlVLKUlpaSk5ODkOHDiUyMrJdC1KovscYQ1VVFceOHSMlJYW4uLgWy7Z3apMtA7iUUqo3avyjm5WV1aMPEVDhx+12t5mIO0KTsVJKdUBcXFyX/QFWqlG4LvqhlFJK9RuajJVSSimbaTJWSimlbKbJWCmllLKZJmOllFLKZpqMlVJKKZtpMlZKKaVspslYKaWUspkmY6WUUspmmoyVUkopm2kyVkoppWymyVgppZSymSZjpZRSymaajJVSSimbaTJWSimlbKbJWCmllLKZJmOllFLKZpqMlVJKKZtpMlZKKaVspslYKaWUspkmY6WUUspmmoyVUkopm2kyVkoppWymyVgppZSymSZjpZRSymaajJVSSimbaTJWSimlbKbJWCmllLKZJmOllFLKZpqMlVJKKZtpMlZKKaVspslYKaWUspkmY6WUUspmmoyVUkopm2kyVkoppWymyVgppZSymSZjpZRSymaajJVSSimb2ZqMRWSciCwXkWIROSgid7RSVkTkXhE5IiJFIrJIREYF7D9VRMpEpDrgp1ZECkTE2TPvSCmllOo425KxiCQBS4FXgETgIuB6EbmzhUPuAy4FLgCSgXeAZSIyAMAYc8AYE2uM8RpjvP4ym4FbjTEN3ftulFJKqdC5bDz3L4EFxphX/a8Pi8h1wFYRedEYU9lYUETigV8B44wx+f7NL4rIVOCnwP8GViwiUcAi4HljzMLufiOq93rw0cfIzM5vs1xaaiIP/e7eHjlfV51LKdV72JmMpwPXB24wxmSJyGbgQmBJwK5LgNUBibjRy8BMApKxiHiAhcD7xph/dUPcqg/JzM5n4ndvbbNc+qIXeux8XXUupVTvYUsy9ifMUcaY7UF2bwamcHIyngxsClJ2C3CGiIgxxvi33QZ8C5gmIhOAu4wxxS3EcZu/PMOHDw/pvajw1Z670C92pDPxuz0UkFJKtSCkZCwiEcB5wFCg6eCoQmPM+21UkQC09FcyBxjdZNsg4FDTgsaYehEpB+KAEv+2p4GnRWQ48CfgXRG5MCBZBx4/G5gNMG3atGb7Ve/WnrvQdRtu76FolFKqZR1OxiJyLlYz8G5gH1DfpEgB0FYybktHE2OwRHtURG7GutP+GrC2kzEppZRS3SKUO+OZwP3GmJc6cd5CrBHUwaRgJfRAef7tJxERFxADlAWryBjjE5GVwJloMlbdTJvFlVKhCiUZjwVebbNUK4wxtSKyX0QmGWN2NNk9FSvhB9oK/CBIVVOAbcGaoAN4gJrQo1WqfbRZXCkVqlCS8R6sObzHOnnut4EZwK8bN4hIKlYy/qRJ2ZXALBEZZIwJvGue4a8nKBHxAt8FnulkrEqdYIyhuLqY3IpcSmtKKakpoaS6hIMRu6nJWwQYDAa3w4vXGYPHGU2kM5YBEc0ad5RSCggtGd8HPCciVxpjfJ0490xgvYhsBeYBw7CmKj1ijKkUkZ8DxhjzjDGmVESeAN7w9wPnADcCFwPnAPhX2VoP/AEreQ8DngKWGWP2diJOpaiWKtZlrCOjJIO9BXs5Xnac8tpyquurqfPVAXCk/BAleQmA+I+qx0cdThFcDhcel4eCEUfZVrCcgZ6hpESeSoTT2+xcW7/4gh//T+vzjHUuslJ9SyjJ+AIgDdghIp8SZACXMeYPbVVijCkQke8A/wBmYY2u/rsxpvEudjDgCyj/mIj4sPp+44E1wOXGmFL//gYR+S3WnOP5QDbwT+CJEN6jUlTXl5NdtZ9jFXvY6fqUJz/Lps5Xh8fpIc4TR1J0Eh6nhwhnBCJCRmElaVHnn1SHMYYGU0edqaCqoYiasnq+yFnUs4H7AAAgAElEQVSHyynERsQyPHY8Q6LHkegdgcO/amtVbb3ORVaqnwklGW8GDreyv7C9FfnvWC9tYd/9QbY9DjzeSn0rgWntPb9SwVTUFXGwdBOHS76grLYMny8CX76L0QNH43U1v5NtjYjgkghcRBDpTMB7LJ7hkRdS4yultCaDL6o+Z49rM0lRgxkb/1WGRI/rpnellApnHU7GxphF3RGIUnYrryvkYOlGDpVso7SmjEhJJTliPBGOGDKrsjuciFsiInidA/A6B2CMj/L6XI6VHiS38i0GRw+nOrYcn/HhEH2omlL9RcgrcInIRVhLWg7G6sN9zxiztKsCU6qnNJh6DpVuYlfhWoqrSoh0DGaoZzIuh6fbzy3iINadSowrhYqGHI6W7KcoKYv1OfOZNOhiYtwDuz0GpZT9Qln0wwG8BpwCPA+8izVY6g8icitwrT4lSfUWdd5qPj3+OhllBxHfAIZ6z++RJNyUiBDjSiXamcLRjA3sLdxJfvUxJg78BiNip+hdslJ9XCj/wn+DlcS/Yox5wRizwhjzItYqVzVAs75epcKNz/jYV/wZhUOOcbj4IAOcExgSOdWWRBxIRHCVRpLmPY+yKh+fHX+fz3PepKIu6PLqSqk+IpRm6luB/2i60IYxxojIfcAq4OEuiE2pblHnq2F7wXL2Fm7FV+ggLfJ8nOK2O6yTuBxeBnvPoqw+i/2FuyitLeDs5O8xyDus3XXo4xqV6j1CScZJQEYL+zL8+5UKSxV1RWzKe48vSw4Q6xyN5/jOsEvEjUSEOPdQvM54jpdvZk39XM5MuoQRMZPbdbw+rlGp3iOUZJyONde46SpZAOcDuzoVkVLdpLA6k/W575BTnktyxGSiXC0tjx5eIhzRpEV+lZzqbazPfp+ygfkYOrPejlIq3ITSZ/wn4EURGRu4UUTGAC8Cj3RFYEp1pfzqo3yaPZ/c8kKGeM/tNYm4kVPcDPaehdOXxLa8NRyO2EO9r+l6O0qp3qrDydg/fel+4GMRWSEiL4jIB8Bq4GFjzHtdHaRSnZFbdZh1x+dTVFnBUO+5RDii7Q4pJCJComcs0Y5RHK07zGs7XqOuoc7usJRSXSCkecbGmHkisgBrBHUq1jzjT40xtV0ZnFKdlVN5kPU571BcVcXQyHNwSoTdIXVaQsRI8oriWLR3EXUNddx0xk14XPaOAldKdU7Ii34YY+qwRk4rFZZKHIUczF5AaXUdQyPPDduBWqGIqo4lOTqZpfuX0uBr4OYpNxPh7P1fNJTqr9qdjEVkoTFmuoj8DRjUStECY8yvW9mvVLc7WnKUfa50nNVj/XfEfScRN0qOTkYQPjj0AVERUdww8QacDqfdYSmlQtCRO+PX/f9dhvXUpJbo6gTKVrkVuTy/+XlKKkqZ6J3WJYk4+0AOi55d12qZnMP5pHX6TB2TFJ1Ena+OJfuWEBsRy5Vjr0RE2j5QKRVW2p2MjTHz/f/9sPvCUapziquLeX7z82zP2U58UUqXrahV3yCkXXx1q2UyZz7bJefqqCGxQzjScISFuxcSExHDRadcZEscSqnQdXg0tYjsbmP/7aGHo1Toquur+dfWf7Hh2AZOG3QaLl/fa5puyYgBI6jz1TEvfR4bjm2wOxylVAeFMs94ZEs7RGQk8LcQY1EqZD7jY/7O+aw5uoZRCaOIiYixO6QeJSKcNvA0iqqLeG3HaxwpPmJ3SEqpDujIAK69WE9nihCRymBFgGrgH10Um1Lt9vHhj1myfwmJkYnEe1sb0tB3iQjjEsexI2cHL3/xMrVSY3dISql26kif8VgAEakyxkR1X0hKdczO3J28vsMaXzgkdojN0djL5XAxNnEsW45vId9dxWRTj1NCnsGolOohofwr/VOXR6FUiLLLs3lh6wvkV+YzOXVyvxlJ3Nbo7uqICo7LUcYVreL0hG/1m+uiVG8VSjKeIyI/Msb8v6Y7ROQ24HVjTHmnI1OqDZV1lbyw5QX25u9lcspkHBLKEIjeqT2ju7Pm/ZVdBZ8THzGYtJjTeygypVQoQvnr9TjQ0ir7acCjoYejVPv4jI/Xd7zO55mfMy5xnC4HGYQ7L4baehdf5H9ARV2R3eEopVoRSjI+D5jVwr4ngctCD0ep9ll+YDlL9i8hLS6NOE+c3eGEJUFI8UymoLKQbQXL8ZkGu0NSSrUglGQcjzVqOpgSrAdHKNVttmVvY276XCJdkaTG6MetNW5HJAPd4zhcsoeDpTr/WKlwFUqf8Q7gYqxlMZs6HzjQqYhUv/fgo4+RmZ0fdF+Fo4wdzo3kfpnHMMcY9pDXYj12LE8ZjmLdQyivyiW9YA2DPMMZ6B1qd0hKqSZCScYPA7NF5NvGmJ2NG0VkNPAC1rOOlQpZZnY+E797a7PtNQ0VfJL1Ks7SU5GPaxn202tar8em5SnDUYp3IhlVa/kifxkXDLkRdxctE6qU6hodbqY2xiwH7gFWiMgHIvKCiKwA1gGPNa5hrVRX8pkGtuQt5ljZUQZ7z0Ia+s/I6a7gEBfJnskcK/+SfcWtP/BCKdXzQloNwBgzX0TeAb6G1UecC3xqjNElf1S32F20iv1FOxjknoDXOcDucHqlSGcCnroU9hStZ3DUGG2uViqMhHx7YYypM8asMsa8YYz5SBOx6i4Z5TtIz19HpGMIcW5NIJ2R6BlLeU01Owo/oMHU2x2OUsqvw3fGIvIQkNRKkTxjzIOhh6TUvxXVZLE5dxl19R6GRo61O5xezyEuEiNOJ6M0nYNRG+0ORynlF8qd8R7gTKwR1XnAViDf/3qCf79SnVZVX8bG3Hcpqa5kcOQUpB+tsNWdol1JOE0CuwvXUim6WJ5S4SCUPmMHVhK+0BhT27hRRB4B5gLa9qU6rcFXx5b898kqy2Kw5xyc0n+eTdwTkr0TyKxaS627EJ/x9aulRJUKR6H8C/wd8PPARAzgf/1L4I9dEJfqxwyGnUWrOFS8m0Hu0/E4Y+0Oqc9xSgQJ7rHkNWSz5fgWu8NRqt8LJRkPB7Ja2Jfl369UyPJcWewuXE+kpBHr1hW2ukusawj1FT4W7V1EZV2wR5QrpXpKKMl4G/CdFvZd6t+vVEgOFR3ikGMfDfVeBkWcZnc4fZqIEFuWSHpeOh8d/sjucJTq10JJxr8F/ikiV4l/RI2IOETkGuCfwK+7MkDVfxRVFTFn2xwqKipJ8fafZxPbyd0QQaQrkmUHlpFV1lKDl1Kqu4WyAtda4ErgDiBfRPZjjaa+FfhPY8xnXRui6g9qG2p5dcerfJH9BQOKk3XAVg8aGT+SjJIMFu1dhDHG7nCU6pdCXYFrA/AtEYkABgKFTQd0KdVexhje2fMOq79czfABw8lo0NlxPSX7QA5Ln9tApaeMXYnPsvS1dQxqSDmpTFpqIg/97l6bIlSqfwhl0Y8lxphvw4kR1NldHpXqV9YeXcvS/UuJjYhlYORAu8PpV+obhLSLr8YYQ0bVOmpjExk3dAYuR8SJMumLXrAxQqX6h1D6jCeKiD7yRXWJfQX7mL9rPpV1lQyLG2Z3OP2WiJDkmUB2xTEOl+lUJ6V6WijN1P8AHgXu7uzJRWQc8BRwLlAA/N0Y80wLZQVrcNjPgAHAWuB/jDGHm5S7BPgzMB7IBJ4BZhrtDOt2rT2HuFFgk2d+ZT5zts0hoySDickTdcCWzSKdCThrB7C36DOGRU/E64qxOySl+o1QkvEi4F4RWYb1/OIMIDDRlRhj9rZViYgkAUuBP2BNlRoGzBERhzHm6SCH3Ad8C7gAq2l8BrBMRM4xxpT46zwX68vCTcAWYBzwEuDDSsqqG7X0HOJAjU2e1fXVvLLtFdJz0xmXOA6nw9kTIao2JHrGkVX5GQdKP2fiwIvsDkepfiOUZPwQ0DjC444g+3OA69tRzy+BBcaYV/2vD4vIdcBWEXnRGHNiFQIRiQd+BYwzxjTeer0oIlOBnwL/6982HfixMaZxBfydInIbMAdNxmHDGMPbu97m04xPGRk/Eq/La3dIyi/CEU2UYwj7ijYxPGYycRGtPRNGKdVV2pWMReQUY8whAGNMexJte0ynSdI2xmSJyGbgQmBJwK5LgNUBibjRy8BM/MnYGPPbIOfZC6R1UcyqC3x85GOWH1xOgjeBeG+83eGoJgZ5TuVo1Rr2FK/h7KTpdoejVL/Q3gFcW5tuEJHW2yNb4R8ANsoYsz3I7s3AlCbbJgObgpTdApwhrXc2TgV2hhSo6nJFznze2vUWdQ11DIkdYnc4KginRDDANYrDJTvJrz5qdzhK9QvtTcYRQbb9oxPnTcBaKCSYHCCxybZB/u0nMcbUA+VAXLCK/En6T1h3z8H23yYim0RkU15eXjtDV6Eqq83noHM3x8uOc9qg03TAVhhLcI+kqraB3UWfYNCxj0p1t/Ym42D/GrvzL2lH//W3VP4BoMoYMy/oQcbMNsZMM8ZMS0rSvrHuVNtQxaa89yiuKmFc4jh9ZF+YE3EwKGIMmWWHKHDm2h2OUn1eZ/4idubrciHN734bpWBNcwqUx78HjZ0gIi4gBigLsu964Eb/j7KRz/jYVrCUo6WHiCtKxOPSaeq9QYxrMPUNbjKdh6ht0AX2lOpOttye+Ffu2i8ik4LsnorVFxxoK3BWkLJTgG1N5xCLyHlY85evNMYUdUHIqhP2FX/KvqLtxLvGEFGvI6d7i8aFQArrClmXsc7ucJTq09o7tcklIoGL00qQbY3yjTH/akedb2PNFT7xlCcRScVKxp80KbsSmCUig4wxgXfNM/z1/DswkVOABcDNxphd7YhDdaNjFXvYUbAGlxnEAPdwythgd0iqAyKdCUiFiyX7l3DW4LOI9cTaHZJSfVJ774zvASIDfrxYq1xFBvmJbmedM4HpInKDiDhFZCQwD3jEGFMpIj8XkTsAjDGlwBPAGyKSJiJuEbkZuBh4rrFC/3zkxcDjxpglKFuV1OawJW8J1bVCsud0u8NRIYotH8j+gv18fORju0NRqs9q152xMaYzI6dbqrNARL6DNSp7Ftbo6sDlMAdjrZzVWP4xEfFhLYMZD6wBLvcn6kY/wVp16xEReSTwdP6yq7r6fajgahoq2Jj7HgWVJaR5z0N0wFav5fK5iY6I5oODH3Du0HNJiWk2fEMp1UkhPUKxq/iXzby0hX33B9n2OPB4K/X9DfhblwWoQuIzDWzNX8KxsqOkeqbhcuiArd5uxIARpOems/zgcmZMnmF3OEr1ObYmY9U37S1ey8HidBJc4/A6B9gdjuqk7AM5LPvnRsoji3l005MsalhDnC/hpDL6zGOlOkeTsepSWRV7SS/4FLdJIs491O5wVBdofOaxzzSQUbWGhoQhTEj9r5Pmiuszj5XqHO3IU12mSirYkreU6lpI8kywOxzVxRziJMF9Glllhzhe2eaD2ZRSHaDJWHWJmvoaDrh3kV9ZyGDvVB2w1UfFuoZQU+9gT9FaGnx1doejVJ+hfzFVpxljWLBnAbm1OSRHTMbl0IU9+ioRITFiHDkVx/iyfJvd4SjVZ2ifsWqXBx99jMzs4M/2yHFlssekU7G7gahJg3o4MtXTolyDKKqLZl/RZwyNnoDHGWV3SEr1epqMVbtkZucz8bvNn5pZWJ3J/qzXiK/5CqUfrbchMmWHxIjx5FVt5GDJBiYMvNDucJTq9bSZWoWsur6cTXmLKK2uJtU7GenWB3mpcOJxxuAmkQMlmyivK7Q7HKV6PU3GKiSNC3scL8si1TMVp7jtDkn1sEERYyiqLmV/iT5EQqnO0mSsQrK3+FMOFu8kwT0ej1MfHtAfuRweYhxpHCrZQbmjxO5wlOrVtM9YdVhO5UF2FqwlgiTi3EM6dGz2gRwWPdv6nVTO4XzSOhOg6jEJEaPJqMoi052FMQYR7apQKhSajFWHVNWXsiV/KZW1PoZFdnxhj8bVnFqTOfPZUMNTPcwhTuLdo8lq2MnOvJ1MTJ5od0hK9UraTK3azeonXkpOeTap3im6sIcCIM41lNrKehbvW0xdgy4EolQo9K+parf9JZ9zqHgnA90TiHC097HVqq8TcRBTNpCt2VtZl6GDuZQKhSZj1S4ljiJ25H+CO4R+YtX3eeoiafA1sGT/EkqqdTCXUh2lfcaq1dW1AGqlhk8LPyGl5hyGRekDIFRwoweOZm/+XpYfXM61p19rdzhK9SqajFWLq2sB+IyPDblvU/FeBaneqTjE2cPRqd7C6/IywDuAjw5/xDlDz2Fk/Ei7Q1Kq19BmatWqg6UbOFiUjvt4DB5njN3hqDA3LG4Yx8uOs2jvInzGZ3c4SvUamoxViwqqM9ievwqHScBVGml3OKoXcDqcpMWlsf7YejYe22h3OEr1GpqMVVA1DRVszl1MeU0NKV6dO6raLzEqkaq6Kt7b+x6lNaV2h6NUr6DJWDXjMz62FSwnqzyDVM8UHKJDC1T7iQinDjyVnXk7WbJ/id3hKNUraDJWzRwu3cyBou3Eu8biccbZHY7qhSLdkQyMHMiHhz5kT/4eu8NRKuxpMlYnKaw+xvaCj8EXxwD3MLvDUb1YWlwauRW5LNi9gJr6GrvDUSqsaTJWJ9Q2VLElbzGlVZWkeCfpov+qUxziYPTA0Ww5voUPD39odzhKhTVNxgoAYwzbCz/gWPlRUrxT9PnEqkvEeeLwOD0s2b+EjJIMu8NRKmxpMlYAHCnbyoGiL4hzjsbrHGB3OKoPGZUwioySDObtnEdtQ63d4SgVljQZKyocZWwv+AhfQxTx7pF2h6P6GJfDxaiEUazPXM+KgyvsDkepsKTJuJ+rrq/moHs3xVXlpHjP0H5i1S3ivfF4XV7e3/c++wr22R2OUmFHk3E/Zozh3T3vkl+TR7JnMk6JsDsk1YeNShjF8bLjvJH+BhW1FXaHo1RY0dUc+rFNWZtYfnA5ESXRRDoT7A5H9WLZB3JY9GzrzzKOi3dz1tXj2Xp8K+/tfY/rJ16vLTFK+Wky7qeyy7OZv2s+pdWlRFfpgC3VOfUNQtrFV7daJvODt4iJiGFg5EBWHFzBKQmncG7auT0UoVLhTZup+6Hahlrm7pjLvoJ9jEkcg6B3J6rnpMWlUVZbxtz0uXxZ/KXd4SgVFjQZ90OL9y3ms8zPGDFgBBFO7SdWPUtEGJc4jsNFh5mzbQ5lNWV2h6SU7TQZ9zPbsrex9MBSIl2RJERqP7Gyh8vhYsygMWw+vpm56XNp8DXYHZJSttI+434kvzKfeTvnUVBZwMRkfSyi6lnBBnlVecrZMegfvPX6CobVnUJaaiIP/e5emyJUyj6ajPuJuoY63kh/g115uxifOF5Hsaoe19Igr9zqXZQ5i4hOmUrmJ1tsiEwp+2kzdT+x4uAK1h5dy7C4YXhcHrvDUeqEJM846uu9bMlbToEz1+5wlLKFJuN+YFfeLt7f9z5uh5tBUYPsDkepk4g4SPWeSVWNcMC5k/0F++0OSakep8m4jyuqKmLujrlkl2czKmGU3eEoFZRDnAyOPIvy8kpe2PoCmaWZdoekVI/SPuM+rMHXwLyd80jPTWfMoDE4RL97qfDlFDfxxSnsydvDrE2z+O+z/pvhA4aHVNeDjz5GZnZ+q2V0sJgKJ2GTjEVkHPAUcC5QAPzdGPNMC2UF+DXwM2AAsBb4H2PM4Sblfgica4z5WXfGHq4+PPwha75cw5DYIUS6I+0OR6k2OX0uxieNJz0nnWc2PsNtU29j9MDRHa4nMzufid+9tdUy6YteCDVMpbpcWNwqiUgSsBR4BUgELgKuF5E7WzjkPuBS4AIgGXgHWCYiA/z1pYnIEuCvwH90c/hhaX/Bft7d8y4GQ1J0kt3hKNVuXpeX05NPZ0/eHp7d+Cx78vfYHZJS3S5c7ox/CSwwxrzqf31YRK4DtorIi8aYysaCIhIP/AoYZ4xpbId6UUSmAj8F/heYDaQDdwMLe+pN9LSWmuJqpYadEZspLCtCdrjZO7T15rqcw/mkdVeQSoUgwhnBxOSJ7MrbxaxNs/jh5B8ydfBUu8NSqtuESzKeDlwfuMEYkyUim4ELgSUBuy4BVgck4kYvAzOB/zXGfBtAREZ2U7xhIVhTnM/42Ji7EFOYxriIq9j62RzOaGsB/5nPdmeYSoXE7XRzevLp7M7bzayNs5g+fjqXjr4Up8Npd2hKdTnbm6lFxAOMMsZsD7J7MzClybbJwKYgZbcAZ0gHVrMQkdtEZJOIbMrLy2t3zOHsUOlGDhanM8B1Gh5njN3hKNUpLoeLickTqa6v5pVtr/Dytpf1WciqT7I9GQMJQEvtqDlYfciBBvm3n8QYUw+UA3HtPbExZrYxZpoxZlpSUu/vVy2ozmBHwSeIL44B7mF2h6NUlxARRg8cTbw3nkV7FzFzw0yd+qT6nHBppm6N6ebyfUJ1fTmb896ntLqaYZHat6b6npSYFKLcUazLWEdWWRbTx0/n6yO+rlP2VJ8QDp/iQprf/TZKwZrmFCjPv/0kIuICYoB+9zw2n2ngi4KlHC/PItUzBYf0hu9YSnVcrCeWSSmTyK7IZvbm2Ty/+XkKqwrtDkupTrM9GRtjaoH9IjIpyO6pWH3BgbYCZwUpOwXYZozpd3fG+0s+41DxThJc4/A4Y+0OR6lu5XK4GJ84nnhvPEv2L+Gvn/6VzzM/x2d8doemVMhsT8Z+bwMzAjeISCpWMv6kSdmVwPki0nSR5Rn+evqVnMqD7CxYi9MMIs491O5wlOoxydHJTEiawMHCg8zcMJPnNz9PXkXfGIip+p9wac+cCawXka3APGAY1lSlR4wxlSLyc8AYY54xxpSKyBPAGyJyM9ZgrhuBi4FzbIrfFjVSxdb8pVTUNDA0coLd4SjVIz55fSOlxXUnXhsM1Z5jrInbzNORLzLcN5rsHcVM/K6NQSrVQWGRjI0xBSLyHeAfwCys0dWBy2EOBnwB5R8TER/WMpjxwBrgcmNMaZOqK4Cs7o7fDnUNdRyK2ENVRSKDvefiEJ17qfqH0uK6oM9FrvfVkFuTTo6UcCzjIMU1OcR7mg0vUSoshUUyBjDG7MVa4jLYvvuDbHsceLyNOvPoo8thLj2wlOy644xyfx23I8rucJSyncvhYUjkWZTXZ7PPrGFlxr+YlHg+p8Z9BafDbXd4SrUqXPqMVQd8kf0Fi/YuwlXiJcal3/yVChTjSiXy4CDq66P5LGspH2e9TEF1ht1hKdUqTca9TE55DnN3zKWgqoCYigS7w1EqLInPQar3DJIjppJRksEHR18iveBD6nw1doemVFCajHuRqroq5mybw578PYxLHIfQ7pU/leqXolyJjIj6Og5fIhuyV7Iy80Vyqw7ZHZZSzYRNn7Fqnc/4eHPXm3yW+RmnJJxChDPC7pCU6hUc4iTZO4G4hiFkl23jw+pXGD/wHAy1doem1Al6Z9xLrDy0khUHVpAUlcQA7wC7w1Gq1/E64xkRdQERZjBbc9eyI2Ij23O20w/XCVJhSJNxL7AjZwdv73obg2Fw7GC7w1Gq1xJxMMgzhiGer1BUVsJTnz/FO3veobZB75KVvTQZh7mssizmbJ9DbkUupw481e5wlOoTPM5YBhYNpsE08PqO15m1cRb5lS09PE6p7qd9xmHqwUcf41DOMXa7t5JXmU9CwWCOms9PKpNzOJ80m+JTqjtkH8hh0bPrWi3TVZ97QRgZP5LCqkI+OvwR2RXZ3DjpRk5PPr0LaleqYzQZh6kvs7OpOGsAdcWDGe/5Hh5n88c0Z8581obIlOo+9Q0SdHWtQF39uR8YOZBodzR78vbw9Ianue7067hw5IWI6GwF1XO0mToM+YyPwxF7OVyyl6SIM4ImYqVU1/G4PExKmURxdTEvffESb+58U/uRVY/SZBxmjDEs2b+EzPoviXOeRrQrye6QlOoXHOJg7KCxuB1u5u+az/Obn6e0puly90p1D22mDjOrv1zNgt0LcJR4iI8Ybnc4SvUrIsKwAcOIqoxixaEVlNSU8JOpPyEpWr8Uq+6lyTiMrM9cz2s7XqOyrpLYioF2h6NUn9bWYLE6Vw2fyizmD17M2PoziPbFBi2XlprIQ7+7t7vCVP2EJuMw8UX2F7y87WWKqoqYkDSB/Xxmd0hK9WntGSx2/J//wJw9gtxo+ErKRSRFjmxWJn3RC90UoepPtM84DOzO282/tv6LnPIcxieN11GcSoUJR52LoZFfobCynLXH3ySrYo/dIak+SpOxzXbn7eb5Lc+TUZLBhKQJOER/JUqFE5fDS1rkVyivbmDd8QUcKdtqd0iqD9K//DbanrOd5zY9x+Giw5yefDpOh9PukJRSQTjFzdDIc6ipi2BD9mL2Fa/TNa1Vl9JkbJPNWZuZvXk2GaUZTEyeiMuh3fdKhTOHOBninYqvIY7NuSvZWfQhPuOzOyzVR2gG6GHGGD7L/Iw52+aQX5nP6Ul6R6xUbyHiIMUziYLafWzLW0udrxonmpBV52ky7kE+42Pp/qUs2L2A0ppS7SNWqhcSERI9YymqjSA9fwPRnhJq6mvwuDx2h6Z6Mc0EPaS6vppXtr/Cq9tfpc5Xp4lYqV4uIWIUA5xjyaz5khe2vEBFbYXdIaleTO+Me0BhVSFzts1h9ZerSYpK0mcSK9VHxLmHElWYwMpDK6mur+aWKbeQEJlgd1iqF9Jk3M125e3itR2vkZ6TzqiEUcR74+0OSSnVhby10YyMH8nqL1dTXlvOT876CUNih9gdlupltJ20m9T76lm8bzFPff4Uu3J3MT5pvCZipfqoAd4BjE0cy5bjW3hq/VPsK9hnd0iql9Fk3A3yKvJ4btNzvLztZSrrKpmUMgmvy2t3WEqpbhTljuL05NPZm7+XmRtmsilrk90hqV5Em6k74MFHHyMzO7/F/QbD1v/f3r0Hx3WWdxz//nZXq4t1sSVblo2U2A7OhcgBEnAZICkeBpgUAgkD5VIIpYQUEkyBQijMBGgZGkobKJM4dQN0mjQNhIR0mpDgEKCN4waTOIHYxrFxjC/xVZEGHAQAABEjSURBVHLkm2zZkqynf7xnzWq9knZlac9Kej4zZ7Q677vnvOfdo310Lu959q2mv+0Eh48fofZgI1W909jAvkH16qdX8Mfvf/V4N9c5V2LpZJpFzYt4bv9zLF+znCvPv5LLX3q5D190I/JgXISde/fTfsU1ecuO9O7n2a6f8vufbOXcs97KWZXtpBL5hzrsfPS+8Wymcy5GyUSSC2ddyNaDW7lr7V3s6d7D+9rfR226Nu6muTLmwfgM9Q/0suXwk2w8sJqDPYdJ7ahl7pJL4m6Wcy5GklgwYwEdRzt46HcP0Xm0k6tffjWt9a1xN82VKQ/Go2Rm7D62iQ1dj7H36C4qaOIlVa9nzxHP6uLcVFJIXuSNc7/Pvu59XHXBVVx29mX+jAF3Gg/Go9B1fBebDq5ix+HfcaI/wazKV1Kd9LGFzk1FheRF3vGze9h7dC+3P307m/Zv4l0vexdNNU0laqGbCDwYF6FHR1nT+QDbDq2nu/c4MypeSnN1m+cfds4NK2FJLph5QThtvfkhth7cyhXnXsFrWl/jN3c5wINxQTqOdvD49sf5TepXVHTupy55NmdVzyeh0f0RjXRaC2Df1v341SXnJpfmac00VDawuWszy55axuqdq3n7eW9nYdPCuJvmYubBeBh7juzhse2P8fj2x9l5ZCd9XcaC8y4lqfQZLbeQ01o7b73tjNbhnCtPlalK2pvb6erpYuX2lWzcv5FLz76UJfOW0NbQFnfzXEw8GOcwM57vep4ndj7B6hdWs/vIbqZXTad9Vjs7j/accSB2zjmAxupGpldNZ9fhXdy34T5W7VjF4pcs5rKzL2Nh40K//DXFeDCOmBlP7nqSVdtXsb5zPfuP7aepuolFsxeRSng3OefGXkIJ2hramFs3lz3de3hw04M88cITtM9q55K5l7Bo9iIaqxvjbqYrAY8ykV1HdvGtX36Lnv4e5tTO4RUtr/DhB865kkgmkrTWtzK3bi6dRztZtWMVT+x8guZpzVzUfBEXNl/IghkLmFM3x7+XJikPxpFDh46w/v5dVPRX8gJbgC2n1fGbqpxz4ymhBLNrZzO7djYn+k/QcbSDFVtW8OjvH2VG9Qxaaltob26ntb6VObVzmFM3h5qKmtOWM9KjewFaW2byt1+8Ybw2xRXJg3Ek0ZdkwZIPDFvHb6pyzpVKZaqStoY22hra6D3Zy8HjB9nStYX1HetJKkltupa6yjrm1M6htb6VppomGqsbaaxuZPO+7Vz8tutJauiv+PUPfreEW+NG4sHYOefKXDqZpnlaM83TmgHoO9lHd2833b3drN23ljW71yCJpJLUVNTwTGodu7f1UVvRQF26kepkA1WpWqqT9VSn6qhK1jHAQMxb5bLFFowlnQ98G/gj4EXgm2a2bIi6Aj4HXAc0AKuAT5rZ1tEu0znnSqWQZwsc2NnJjNZZZ1RnQCfpT+7jwN4emubX03G8m93WidGHqY+UkqQSKVKJFAfT6/nayq8xu3Y206umn5oaKhvCz6oG0kkfPVIqsQRjSbOAnwA3Am8F2oA7JSXM7JY8b/kC8EbgUmAvcDWwQtJiMzs0ymU651xJFPpsgUVjUAeg49bbmFl57qB5ZgP0WQ/9Az30WQ+9+9exrmMdz+x5BiFQOAKvSlVRnaqmKlVFY00js2pmnQrQmSCdCdpVqSofgjVG4joy/hRwv5ndFf2+VdJ7gF9L+p6ZHctUlDQd+Axwvpll7kj4nqSLgY8DXy92mc45N9VICdKaRjoxDYDNa/vYfKzrVLlhDCROcjLRz8lkHyeT/Rw68CI1s+tQyiBlKBlOhScTCZJKklYlLXUz+bMr3z3oqHp61XTqK+uprqj2oaEFiquXrgLemz3DzHZLehp4A/BwVtGbgZVZgTjjDuBW/hCMi1mmc85NaYUcra++9TYWve06IDyL4aT10m899A0co8966BvoYeO6x3hg0wMM2ABCpJNpKlOVpJNpKhIVTEtPoy5dR0NVA7XpWqpT1dRU1FCZqqQiUUE6mQ51k1mvExUklCCZSIafCj/zzcs821uEI/SJeqRe8mAsqRKYb2Zr8xQ/DbySwYHz5cCaPHWfAS6Krieni1zmaRJKUJeuG7btyUTK60zBOuXYJq/jdcplfRVHd7Bk3hIg3FjW09/Dsb5jnOg/Qe/JXrp7u+nq6aL/QD/9A/0AnBw4CYTAmUqkBgXWTNDNTELhp3Tqdea9QoOCbyYgZ9fJzM/Ma29u56oLrhp2m+IgMyvtCqUW4CkzO+0hrJI+AZxjZp/Omrc8qv+9PPX3A+cA1cUsM6vsWuDa6Nd2YP3otsoVYSYw/ABIN1a8r0vD+7l0JmJfn21mw9+ZR3kObSr2v4NC6uetY2a3A7cDSFpjZq8qct2uSN7PpeN9XRrez6Uzmfs6jmDcRfjvJp/ZhCFJ2Tqj+YNISgG1wBHgeJHLdM4558pGyR9yama9wGZJi/IUX0y4Fpzt18Aleeq+EnjWgmKX6ZxzzpWNuJ44/iPCWOFTomvJFwOP5dT9GfB6SU0586+OljOaZeZzewF13Jnzfi4d7+vS8H4unUnb1yW/gQsgCqy/Ar4E3EN4QMcdwA/NbFl005Vlnp4l6QbgTcCHgX3AB4DPA4vN7HAhyyzh5jnnnHNFieXI2MxeJDwl60OEa8g/Z3DQnAO0ZNX/BvAI4TGYncA7gcszgbjAZTrnnHNlKZYjY+ecc879gWepds4552I26YOxpA9JypuIWNJLJD0vqSFnfoOk70jqkLRH0i2STs/g7QYZqq8lzZV0h6S785SdL+kRSQclbZF0fWlaO3Hl9rOkFknfl3RI0v5of52W8x5JukHSNkkHJD0oaX7pWz8xSHqzpKckdUvaKGmpsh71VMh+630+sgL6edjyqM7k+A4xs0k5Aa2ER2DuBTbmKU8S7rLuA1pyyh4BbgbqCCkblwE/inubynUarq+Bc4HNwFKgIqdsFrCVcENeCpgPPA4sjXubynHK18+AgKcImc1qgEbgu8BdOe/9IuE+ijagAvgIsAloiHu7ym0ipGDdCLw6+p64EHgSuD4qL2i/9T4/434etryYz2IiTLE3YBw/6IeBbwAXDBGMv0pINLEtOxgT7tpek1M3AawDXhP3dpXjNFRfR8HhWWDJEO/7GnBzzry5hDvma+LernKb8vUzsIgw3j67XgVwGKiKfp9OeITgzJx6y4C/iXu7ym0iJJ95Xc68VwBro9cj7rfe52PSz8OWF/pZTJQp9gaU4AOflxuMCbmRnwYq8wTj24BP5lnODcA34t6ecp5y+xq4CfjYMPU3ABflmf8w8Cdxb0+5Ttn9THim+m9yytOEEQWV0e9/SkgvmrucxcCTcW/PRJgIz7/vil6PuN96n595PxdSPpm+Qyb9NeNckmYDy4H3m9mJPFWGyhKVyf7kCiCpHlgCNEraGV3LXC6pOiovJHuXG4GZrQcOSPq6pJmS2oA7gTuy9u9CMp+54V0M/LaI/db7fHQuBn5bSPlk+w6ZUsFYUgL4D+CrZrZpiGpNhFMcufYx9POv3eneRrjGY9HP8wjXdO6MymcwdPYV7+vifBT4BGEM/g7CtbavZJXn3afNrB/oBurHv4kTVxQ4M5e1Ct1vvc+LlNPPhZRPqu+QKRWMCTe57DazO0esmZ8Pyi7cZcAPzOwmMztk4aEs1wLtktoLeL/3dQEkVQH/DXyLcLNhC/AL4N4iFuN9PbwvAT1mdk8BdQvtS+/z043Uz8V8DjDB+njKBOPoqPhTwPskHc9MwNnANklfiKrmzRKFZ38q1lnA/dkzzGwAWAG8nuKzd7n8rgS2mdmNZnbYzPYRjpRbJGVSzRWS+czlIem9hDt1PxDNKnS/9T4vQp5+LqR8Un2HTJlgbGYDZjbLzCrNrCozAduBeWZ2U1R1qCxRnv2pOH1Ab575CSBhnmlrrMwjDG06Jfqn5yngnGjWiJnPxrOBE5Wk1wLfBt5hZgegqKxz3ucFytfPhZRPtu+QKROMi/Aj4IPZM6JrFR8k50jPDWs18JbsGdHZiTcC/xfNOtNMWy6M4b4oz/yXR2VQeOYzF5G0gPD3/mEz25BTXMh+631egBH6ecRyJtN3SNy3c4/3RJ6hTTnl2zj9oR8PAf9IOJ3UANwC3Bv3tpT7xOAhN42Esw7XEIaQNRMeRvGDrPpNwPPA+wmD+ucR/oCuj6P9E2XK6ec0YSz3p6P9tRH4JvBIzntuAB4lPDikgpABbSNQH/f2lNtEGCP8HPDZIcoL2m+9z8+4n4ctL+azmAhT7A0owQc+C/jFMOUrgbqcefWEvJkdhKcd3cIEG0BeDn0NLAQeBA5EfXkz0djXrDrnEZ54dgjYMhH/iMqgn5uBu4GDhLtLlwG1ed73WcI/nwejz2V+3NtSjhPwOcLNP8dzph7gDVGdgvZb7/PR93Mhn0Mxn0W5T561yTnnnIuZXzN2zjnnYubB2DnnnIuZB2PnnHMuZh6MnXPOuZh5MHbOOedi5sHYOeeci5kHY+fcKZLWxd0G56YiD8bOlQFJSyV9dJjyX5eoKQvHYiGSmiWdyErK0iPpjWOx7GHW+YnsJDCS9ozn+pwbSx6MnSsPTdE0lKKCpKS/lpQ3L+yZknSJpLtHqFYDbLU/JGWpNrOfj0d7MszsVhucBGbGeK7PubGUirsBzrmxZ2Y3j+Pi6wjPwHbOjRE/MnZuApJUJ2m5pE5JByXdF2W4yZR/RNLSnPd8TNImSd2SfilpiaTrck+PS2qRdK+kQ5I2SnpnVtkjwE+BN0Wngr87yvYvlvRotI69kh6S1B6VLY3af42kLVGdOyRVS2qT9MNom5+X9KHRrN+5cuPB2LkJRlIS+DHwW2ABIVPNI8CKKH0chFO0TVnv+TIha9B7CIlQPgrcGP2efXo8AdwDLI/mXwMslzQfwMzeArwZeDQ6HXzNKNr/OkLShDsJSeDnE1LhvSOq0gR8BlhMyAk8n3AkflvUtmWEpPJ/AXxT0nnFtsG5cuOnqZ0rH1+V9JUhyiqzXr8HWGlmt2TN+46kKuDjwJez3yhpDnAd8DIzezGavV7SlcAm4CdZ1SuAL5lZJhfsKkl3AO8ipBUdC8sI+Wkfzpr3bzl19gJ/aVEmG0k3ABsI2XoybVsp6d+BK4F/GKO2ORcLPzJ2rnzcmH0DUs7NSEez6l0OfD7nzuHjwD8RjjRzXQ48kBWIATCzw8C9OXX7CWlFs20CzjqTDcuIjrDrcgJxPv9jg1PKbR6ibRsJ+YKdm9D8yNi5iacZuLyIu5NnAy8MUbaTwf+Un8wJghCCYEVxTRxSC7C9gHr92b+YWb+kfG3rG8O2ORcbPzJ2buLpBC4qov4+oG2IslIfVXYwdFucm7I8GDs38fwYuFbSoCNCSedIWpyn/grgCkmNOfXrgHePYv25R6eFv9FsCzAg6Q2jXYZzk5EHY+cmnh8STjvfL2mhpISk1wK/IDxsYxAz2w38K/BjSYui+i8D/gt4luKD62HgLEmnratAfwXcLentktKSpkn6pKS/G+XynJvwPBg7Vx4OEE7hDmVj5oWZDQBXAL8hjPntBv4Z+HMz+9+s5b2Y9Z4vA/9JGEJ0hHD38t8TbozqylrP80O0Lfvmr2cJp753S7pk5E0bzMxWAFcDn4+WuwF4FfAvUZUXc9ZXTNucm5B0+v0QzrmpIDrNvRZ4p5k9N8bLngesMLPzx3K5RbbheHQnunNlz4+MnZsCJL06OhXcGp2mXgh8H1g91oHYOVc8D8bOTQ0bCGOFHyOc1n4YeIbwhK3xcAyYX+KsTUtzxl0fGM/1OTeW/DS1c845FzM/MnbOOedi5sHYOeeci5kHY+eccy5mHoydc865mHkwds4552L2/0DkmC2ValZQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff8310d74a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram + KDE\n",
    "fig, ax = create_axis()\n",
    "\n",
    "H.plot(density=True, ax=ax, ylim=ylim, label=\"histogram\",\n",
    "       alpha=0.5, lw=1, edgecolor=\"black\")  # , zorder=1000)\n",
    "\n",
    "ax.set_title(\"Height of people in Fakeland\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Fraction\")\n",
    "\n",
    "ax.set_xlim(xlim)\n",
    "ax.set_ylim(ylim)\n",
    "\n",
    "sns.kdeplot(x, shade=True, ax=ax, alpha=0.5, label=\"kde\", color=\"green\")\n",
    "ax.legend()\n",
    "\n",
    "save_fig(fig, \"../images/histogram_and_kde.svg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Representation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([  4,  22,  96, 228, 272, 226, 104,  38,   9,   1]),\n",
      " array([132.18415825, 141.05165679, 149.91915533, 158.78665386,\n",
      "       167.6541524 , 176.52165094, 185.38914948, 194.25664802,\n",
      "       203.12414656, 211.99164509, 220.85914363]))\n"
     ]
    }
   ],
   "source": [
    "# Numpy\n",
    "histogram = np.histogram(heights)\n",
    "pprint(histogram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([  4.,  22.,  96., 228., 272., 226., 104.,  38.,   9.,   1.]),\n",
      " array([132.18415825, 141.05165679, 149.91915533, 158.78665386,\n",
      "       167.6541524 , 176.52165094, 185.38914948, 194.25664802,\n",
      "       203.12414656, 211.99164509, 220.85914363]),\n",
      " <a list of 10 Patch objects>)\n",
      "Saved ../images/matplotlib.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff8311faa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Matplotlib\n",
    "fig, ax = create_axis()\n",
    "histogram = ax.hist(heights)\n",
    "pprint(histogram)\n",
    "save_fig(fig, \"../images/matplotlib.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram1D(bins=(10,), total=1000, dtype=int64)\n"
     ]
    }
   ],
   "source": [
    "# physt.h1\n",
    "histogram = h1(heights)\n",
    "print(histogram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[132.18415825 141.05165679]\n",
      " [141.05165679 149.91915533]\n",
      " [149.91915533 158.78665386]\n",
      " [158.78665386 167.6541524 ]\n",
      " [167.6541524  176.52165094]\n",
      " [176.52165094 185.38914948]\n",
      " [185.38914948 194.25664802]\n",
      " [194.25664802 203.12414656]\n",
      " [203.12414656 211.99164509]\n",
      " [211.99164509 220.85914363]]\n"
     ]
    }
   ],
   "source": [
    "print(histogram.bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[132.18415825 141.05165679 149.91915533 158.78665386 167.6541524\n",
      " 176.52165094 185.38914948 194.25664802 203.12414656 211.99164509\n",
      " 220.85914363]\n"
     ]
    }
   ],
   "source": [
    "print(histogram.numpy_bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  4  22  96 228 272 226 104  38   9   1]\n"
     ]
    }
   ],
   "source": [
    "print(histogram.frequencies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram1D('Heights', bins=(10,), total=1000, dtype=int64)\n"
     ]
    }
   ],
   "source": [
    "histogram.name = \"Heights\"\n",
    "histogram.title = \"How tall are people in Fakeland?\"\n",
    "histogram.axis_name = \"Height [cm]\"\n",
    "print(histogram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'name': 'Heights', 'axis_names': ('Height [cm]',), 'title': 'How tall are people in Fakeland?'}\n"
     ]
    }
   ],
   "source": [
    "print(histogram.meta_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"histogram_type\": \"Histogram1D\",\n",
      "  \"binnings\": [\n",
      "    {\n",
      "      \"adaptive\": false,\n",
      "      \"binning_type\": \"NumpyBinning\",\n",
      "      \"numpy_bins\": [\n",
      "        132.18415824913657,\n",
      "        141.0516567875413,\n",
      "        149.91915532594606,\n",
      "        158.7866538643508,\n",
      "        167.65415240275553,\n",
      "        176.5216509411603,\n",
      "        185.38914947956502,\n",
      "        194.25664801796978,\n",
      "        203.1241465563745,\n",
      "        211.99164509477924,\n",
      "        220.859143633184\n",
      "      ]\n",
      "    }\n",
      "  ],\n",
      "  \"frequencies\": [\n",
      "    4,\n",
      "    22,\n",
      "    96,\n",
      "    228,\n",
      "    272,\n",
      "    226,\n",
      "    104,\n",
      "    38,\n",
      "    9,\n",
      "    1\n",
      "  ],\n",
      "  \"dtype\": \"int64\",\n",
      "  \"errors2\": [\n",
      "    4,\n",
      "    22,\n",
      "    96,\n",
      "    228,\n",
      "    272,\n",
      "    226,\n",
      "    104,\n",
      "    38,\n",
      "    9,\n",
      "    1\n",
      "  ],\n",
      "  \"meta_data\": {\n",
      "    \"name\": \"Heights\",\n",
      "    \"axis_names\": [\n",
      "      \"Height [cm]\"\n",
      "    ],\n",
      "    \"title\": \"How tall are people in Fakeland?\"\n",
      "  },\n",
      "  \"missed\": [\n",
      "    0,\n",
      "    0,\n",
      "    0\n",
      "  ],\n",
      "  \"missed_keep\": true,\n",
      "  \"physt_version\": \"0.3.40.1\",\n",
      "  \"physt_compatible\": \"0.3.20\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# JSON\n",
    "print(histogram.to_json(indent=2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/repre-meta.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b580c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "histogram.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.legend()\n",
    "save_fig(fig, \"../images/repre-meta.svg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Operations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "update_matplotlib_rc(22)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/add1.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b42d128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "h = h1(heights, \"human\", 12)\n",
    "edges = h.numpy_bins\n",
    "\n",
    "fig, ax = square_axis()\n",
    "h.plot(ax=ax, xlabel=False, ylim=(0, 500), show_stats=\"total\", lw=1, edgecolor=\"black\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Fakeland\")\n",
    "save_fig(fig, \"../images/add1.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/add2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b3d8588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "h_ = h1(trueland_heights, edges)\n",
    "fig, ax = square_axis()\n",
    "h_.plot(ax=ax, xlabel=False, ylim=(0, 500), show_stats=\"total\", lw=1, color=\"red\", edgecolor=\"black\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Trueland\")\n",
    "save_fig(fig, \"../images/add2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/add.svg\n",
      "Histogram1D(bins=(10,), total=1500, dtype=int64)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b349438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "h_total = h + h_\n",
    "h_total.title = \"Dubious Union\"\n",
    "\n",
    "fig, ax = square_axis()\n",
    "\n",
    "h_total.plot(ax=ax, xlabel=False, ylim=(0, 500), show_stats=\"total\", lw=1, color=\"purple\", edgecolor=\"black\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "\n",
    "save_fig(fig, \"../images/add.svg\")\n",
    "print(h_total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Throws exception\n",
    "# h * h_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "update_matplotlib_rc() # Back to normal size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multi-dimensional"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/nd-height.svg\n",
      "Saved ../images/nd-weight.svg\n",
      "Saved ../images/nd-iq.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b2e1c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b349358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b2efc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H = h1(heights, axis_name=\"Height [cm]\")\n",
    "H.title = \"Height of people in Fakeland\"\n",
    "\n",
    "# update_matplotlib_rc(20)\n",
    "\n",
    "# Height\n",
    "fig, ax = square_axis()\n",
    "H.plot(ax=ax, lw=1, color=\"blue\", edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/nd-height.svg\")\n",
    "\n",
    "# Weight\n",
    "fig, ax = square_axis()\n",
    "H = h1(weights, axis_name=\"Weight [kg]\")\n",
    "H.title = \"Weight of people in Fakeland\"\n",
    "H.plot(ax=ax, lw=1, color=\"red\", edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/nd-weight.svg\")\n",
    "\n",
    "fig, ax = square_axis()\n",
    "H = h1(iqs, axis_name=\"I.Q.\")\n",
    "H.title = \"Intelligence of people in Fakeland\"\n",
    "H.plot(ax=ax, lw=1, color=\"yellow\", edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/nd-iq.svg\")\n",
    "\n",
    "update_matplotlib_rc(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram2D(bins=(10, 10), total=1000, dtype=int64)\n"
     ]
    }
   ],
   "source": [
    "H2 = h2(heights, weights, axis_names=[\"height\", \"weight\"])\n",
    "print(H2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/nd-2d.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b324b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2D\n",
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax)\n",
    "save_fig(fig, \"../images/nd-2d.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HistogramND(bins=(10, 10, 10), total=1000, dtype=int64)\n"
     ]
    }
   ],
   "source": [
    "# 3D\n",
    "df = pd.DataFrame({\n",
    "    \"height\": heights,\n",
    "    \"weight\": weights,\n",
    "    \"iq\": iqs\n",
    "})\n",
    "H3 = h3(df)    #  From pandas DataFrame\n",
    "print(H3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram2D(bins=(10, 10), total=1000, dtype=int64) ('height', 'weight')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b0de2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H2_ = H3.projection(\"height\", \"weight\")\n",
    "H2_.title = \"Physical attributes of Fakeland people\"\n",
    "print(H2_, H2_.axis_names)\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H2.plot(title=\"Same as before\", ax=ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Indexing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H3[2] =  Histogram2D(bins=(10, 10), total=96, dtype=int64)\n",
      "Saved ../images/nd-index0.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b4b2390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"H3[2] = \", H3[2])\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H3[2].plot(ax=ax, show_stats=\"total\")\n",
    "save_fig(fig, \"../images/nd-index0.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H3[4, 5] = Histogram1D(bins=(10,), total=57, dtype=int64)\n",
      "Saved ../images/nd-index1.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b038908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"H3[4, 5] =\", H3[4, 5])\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H3[4, 5].plot(ax=ax, show_stats=\"total\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/nd-index1.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H3[5, 1:5, :] = Histogram2D(bins=(4, 10), total=140, dtype=int64)\n",
      "Saved ../images/nd-index2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff83109ed30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"H3[5, 1:5, :] =\", H3[5, 1:5, :])\n",
    "\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H3[5, 1:5, :].plot(ax=ax, show_stats=\"total\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/nd-index2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(((167.65415240275553, 176.5216509411603),\n",
       "  (106.80044162961627, 117.21906642300199),\n",
       "  (94.70728437181606, 106.71267650961722)),\n",
       " 3)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "H3[4, 5, 6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Binnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-raw.svg\n",
      "NumpyBinning(array([132.18415825, 141.05165679, 149.91915533, 158.78665386,\n",
      "       167.6541524 , 176.52165094, 185.38914948, 194.25664802,\n",
      "       203.12414656, 211.99164509, 220.85914363]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b427b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Normal\n",
    "H = physt.h1(heights)\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.set_title(\"How tall are people in Fakeland?\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "save_fig(fig, \"../images/bins-raw.svg\")\n",
    "\n",
    "print(H._binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-fixed.svg\n",
      "FixedWidthBinning(bin_width=2.5, bin_count=37, min=130.0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b356b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fixed width\n",
    "H = physt.h1(heights, \"fixed_width\", 2.5)\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.set_title(\"How tall are people in Fakeland?\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "save_fig(fig, \"../images/bins-fixed.svg\")\n",
    "\n",
    "print(H._binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-human1.svg\n",
      "19\n",
      "FixedWidthBinning(bin_width=5.0, bin_count=19, min=130.0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82af99128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Human (specified number of bins)\n",
    "H = physt.h1(heights, \"human\", 15)\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.set_title(\"How tall are people in Fakeland?\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "save_fig(fig, \"../images/bins-human1.svg\")\n",
    "print(H.bin_count)\n",
    "print(H._binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-human2.svg\n",
      "10\n",
      "FixedWidthBinning(bin_width=10.0, bin_count=10, min=130.0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82af3eef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Human (auto number of bins)\n",
    "H = physt.h1(heights, \"human\")\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.set_title(\"How tall are people in Fakeland?\")\n",
    "ax.set_xlabel(\"Height [cm]\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "save_fig(fig, \"../images/bins-human2.svg\")\n",
    "print(H.bin_count)\n",
    "print(H._binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-int0.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b1fe208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Integer (strange)\n",
    "H = physt.h1(children)\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.set_title(\"Family size\")\n",
    "ax.set_xlabel(\"Number of children\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "save_fig(fig, \"../images/bins-int0.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-int1.svg\n",
      "FixedWidthBinning(bin_width=1.0, bin_count=7, min=-0.5)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82ae95278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Integer (right)\n",
    "H = physt.h1(children, \"integer\")\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "ax.set_title(\"Family size\")\n",
    "ax.set_xlabel(\"Number of children\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "save_fig(fig, \"../images/bins-int1.svg\")\n",
    "print(H._binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>Country</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albania</td>\n",
       "      <td>2876101.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Cabo Verde</td>\n",
       "      <td>539560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Madagascar</td>\n",
       "      <td>24894551.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Korea, Rep.</td>\n",
       "      <td>51245707.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>79512426.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Greenland</td>\n",
       "      <td>56186.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>4613823.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>16150362.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>104822.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>65595565.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Country  Population\n",
       "3           Albania   2876101.0\n",
       "43       Cabo Verde    539560.0\n",
       "124      Madagascar  24894551.0\n",
       "106     Korea, Rep.  51245707.0\n",
       "198          Turkey  79512426.0\n",
       "79        Greenland     56186.0\n",
       "110         Liberia   4613823.0\n",
       "217        Zimbabwe  16150362.0\n",
       "0             Aruba    104822.0\n",
       "69   United Kingdom  65595565.0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Exponential (data)\n",
    "countries.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-nonexpo.svg\n",
      "NumpyBinning(array([1.10970000e+04, 1.37876487e+08, 2.75741878e+08, 4.13607268e+08,\n",
      "       5.51472658e+08, 6.89338048e+08, 8.27203439e+08, 9.65068829e+08,\n",
      "       1.10293422e+09, 1.24079961e+09, 1.37866500e+09]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82afaf6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Exponential (naive)\n",
    "hist = physt.h1(countries[\"Population\"])\n",
    "fig, ax = create_axis()\n",
    "hist.plot(ax=ax, show_values=True,\n",
    "          title=\"Country populations (2016)\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/bins-nonexpo.svg\")\n",
    "print(hist.binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-expo1.svg\n",
      "ExponentialBinning(array([1.10970000e+04, 4.08539182e+04, 1.50404851e+05, 5.53719699e+05,\n",
      "       2.03853468e+06, 7.50492286e+06, 2.76295850e+07, 1.01719096e+08,\n",
      "       3.74481718e+08, 1.37866500e+09]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b5e4358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Exponential (right bins)\n",
    "hist = physt.h1(countries[\"Population\"], \"exponential\")\n",
    "fig, ax = create_axis()\n",
    "hist.plot(ax=ax, show_values=False,\n",
    "          title=\"Country populations (2016)\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/bins-expo1.svg\")\n",
    "print(hist.binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-expo2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b4bf400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Exponential (change scale)\n",
    "fig, ax = create_axis()\n",
    "hist.plot(ax=ax, show_values=False,\n",
    "          title=\"Country populations (2016)\", lw=1, edgecolor=\"black\",\n",
    "         xscale=\"log\")\n",
    "save_fig(fig, \"../images/bins-expo2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bins-expo3.svg\n",
      "ExponentialBinning(array([1.00000000e+04, 3.16227766e+04, 1.00000000e+05, 3.16227766e+05,\n",
      "       1.00000000e+06, 3.16227766e+06, 1.00000000e+07, 3.16227766e+07,\n",
      "       1.00000000e+08, 3.16227766e+08, 1.00000000e+09, 3.16227766e+09,\n",
      "       1.00000000e+10]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b4d14e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Exponential (nicer bins)\n",
    "hist = physt.h1(countries[\"Population\"], \"exponential\", 12, range=(10000, 1e10))\n",
    "fig, ax = create_axis()\n",
    "hist[:-1].plot(ax=ax, show_values=True,\n",
    "          title=\"Country populations (2016)\", xscale=\"log\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/bins-expo3.svg\")\n",
    "\n",
    "print(hist._binning)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dynamic histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/dynamic0.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b555f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H = h1(heights, \"fixed_width\", 10, axis_name=\"Height [cm]\")\n",
    "H.title = \"How tall are people in Fakeland?\"\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_stats=\"total\", lw=1, edgecolor=\"black\", show_values=True)\n",
    "save_fig(fig, \"../images/dynamic0.svg\")\n",
    "\n",
    "H_copy = H.copy()   # keep for overlaying"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Histogram1D(bins=(10,), total=1001, dtype=int64)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add value\n",
    "H << 190\n",
    "\n",
    "# or h.fill(190)\n",
    "\n",
    "H"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/dynamic1.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b558908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot of added value\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_stats=\"total\", color=\"red\",\n",
    "       lw=1, edgecolor=\"black\", show_values=True)\n",
    "H_copy.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "H[6:7].plot(ax=ax, color=\"red\", lw=1, edgecolor=\"black\")\n",
    "ax.set_xlim(H.bin_left_edges[0], H.bin_right_edges[-1])\n",
    "save_fig(fig, \"../images/dynamic1.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/dynamic2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff830fd49e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add more values (200)\n",
    "H.fill_n(basketball_heights) \n",
    "\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_stats=\"total\", color=\"red\", lw=1, edgecolor=\"black\", show_values=True)\n",
    "H_copy.plot(ax=ax, lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/dynamic2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Histogram1D(bins=(10,), total=1161, dtype=int64)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We are missing 40 values!\n",
    "H"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adaptive binning\n",
    "\n",
    "Works only for fixed-width (currently)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram1D(bins=(13,), total=1201, dtype=int64)\n"
     ]
    }
   ],
   "source": [
    "H = H_copy.copy()\n",
    "H << 190\n",
    "H.adaptive = True\n",
    "\n",
    "# or h1(..., adaptive=True)\n",
    "H.fill_n(basketball_heights) \n",
    "print(H)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FixedWidthBinning(bin_width=10.0, bin_count=13, min=130.0, adaptive=True)\n"
     ]
    }
   ],
   "source": [
    "print(H.binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/dynamic3.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b2d4e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_stats=\"total\", color=\"red\",\n",
    "       lw=1, edgecolor=\"black\", show_values=True)\n",
    "H_copy.plot(ax=ax, lw=1, edgecolor=\"black\", xlim=\"keep\")\n",
    "save_fig(fig, \"../images/dynamic3.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram1D(bins=(10,), total=200, dtype=int64)\n",
      "FixedWidthBinning(bin_width=10.0, bin_count=10, min=160.0, adaptive=True)\n"
     ]
    }
   ],
   "source": [
    "H = H_copy.copy()\n",
    "H << 190\n",
    "H.adaptive = True\n",
    "H_alt = h1(basketball_heights, \"fixed_width\", H.binning.bin_width)\n",
    "H_alt.adaptive = True\n",
    "print(H_alt)\n",
    "print(H_alt.binning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "H_total = H + H_alt\n",
    "H_total\n",
    "H_total.axis_name = \"Height [cm]\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/merge1.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b4a3f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H_total.merge_bins(2, inplace=True)\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H_total.plot(ax=ax, show_stats=\"total\", lw=1, edgecolor=\"black\", show_values=True)\n",
    "save_fig(fig, \"../images/merge1.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/merge2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b4c2cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H_total.merge_bins(2, inplace=True)\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H_total.plot(ax=ax, show_stats=\"total\", lw=1, edgecolor=\"black\", show_values=True)\n",
    "save_fig(fig, \"../images/merge2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/merge3.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b3d8c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H_total.merge_bins(4, inplace=True)\n",
    "\n",
    "fig, ax = create_axis()\n",
    "H_total.plot(ax=ax,  lw=1, edgecolor=\"black\", show_values=True)\n",
    "save_fig(fig, \"../images/merge3.svg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "H = h1(heights, axis_name=\"Height [cm]\")\n",
    "H.title = \"Height of people in Fakeland\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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lJElaK83koh8PBz4PHFRVl4+xyH7ABQBVVcBZwP5Dbe7aP7xi3H5IkrSmGSuMk2xMF6ZHVdXZQ/PWTXJ2kqcmWS/Jg5J8CHgIcPJA1XcCb0iyZ5IFSXYCPgUc3oe1JElrpXHXjA+mu+rWO4YveQk8Efgo8C7gOuA7dFfmempV/X55A1V1FfACuoO/bgROA95WVWdO7N1IkjQPjXU5zKp6P/D+aapNG6pV9V3gCeO8piRJawvv2iRJUmOGsSRJjRnGkiQ1ZhhLktSYYSxJUmOGsSRJjRnGkiQ1ZhhLktSYYSxJUmOGsSRJjRnGkiQ1Nta1qaXWFh5+VusuSNIq45qxJEmNuWYsraXmy9aGJe/Zu3UXpFXONWNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhobK4yT7JHkoiS3JLkiyaFJMjB/hyTnJbkhyU+SvHpEG0lyWJIlSa5PcmaSrSf5ZiRJmo+mDeMkjwc+AvwtsBHwPOAl/XOSbA6cA5wMbAY8DXhhkkOHmjoC2BP4C+ABwD8D5ybZaCLvRJKkeWqcNePnAi+rqouq6g9VdRlwCPCKfv5rgc9X1aer6s6quhrYD3hTkg0BkmwMvA7Yr6p+UVW/r6pPAP8KvGrSb0qSpPlk2jCuqsOr6ptDxVcCW/WPnwucOLTML4GLgSf3RXsAF1bVb4baORHYd4Z9liRpjTLbA7h2AS5Lcm9g66r6wYg6FwM7948fAyweUecS4NGD+58HJTkkyeIki5ctWzbLrkqSNLfNOIz74Hw7cAxwf2B4bXe5pXT7kAE27Z/fTVXdCdwC3G9UA1V1QlUtqqpFm2+++Uy7KknSvDCbNeMjgduq6rNj1K0x2xy3niRJa5x1Z1I5yQuBFwOP64uu449rv8O2AK7tHy/rnw+3ty5wH+DmmfRDkqQ1ydhrxkl2Bz4MPLuqrgeoqjuAHyd51IhFdqHbJwzwPWDXEXV2Br5fVa4ZS5LWWuNe9OPhwOeBg6rq8qHZZwAHDNXfki6Mv9YX/SvwxCSbDi17QL+8JElrrXEu+rExcBZwVFWdPaLKMcBzk7woyTpJFgKfBd5RVb8FqKqbgA8ApybZKsl6SQ4Cng4cP5m3IknS/DTOmvHBwA7AO5LcPjDdluTJVXUtsDdwIN0+5H8DTquqYwcbqar3AecB36Dbh7wv8Mw+qCVJWmtNewBXVb0feP80da6ku9TldG0dBRw1du8kSVoLeNcmSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqTHDWJKkxgxjSZIaM4wlSWrMMJYkqbFZh3GSA5Mc1z9ekGRpktuHps8MLbNRko8luSbJr5IcnWTDlX0TkiTNZzMO4yRbJTkbeC/wX/vihwE/q6r1h6b9hxY/DbgJ2AbYoX/9k2fffUmS5r/ZrBmfAPwQeMpA2XbAlStaKMnTgU2r6vVVdXNV3QgcCmyXZLdZ9EOSpDXCujNdoKr2AkiycKB42jAGngucNNTWXUlOBvYFvj3TvkiStCaY1AFc2wFPSfKjJDcluTjJvkN1HgMsHrHsxcDOoxpNckiSxUkWL1u2bEJdlSRpbpnxmvEUrgR+A5wIXAM8ETg+ybpVdVpfZ1Ng6YhllwKbjWq0qk6g2yzOokWLakJ9lSRpTplIGFfVMUNF5yd5EfApuoO2pm1iEv2QJGk+WmXnGVfVt4Etk9ynL1oGbDGi6hbAtauqH5IkzXWrLIyTpH94R//v94BdR1TdBbhkVfVDkqS5blVegWsv4AdVtTyMzwBeMlihD+yXAJ9fhf2QJGlOm0gYJ3lTksOSbJxk/STPB44H/n55nar6GrAsyfuT3CfJRsBHgCur6juT6IckSfPRyoTxrcAv+8cnAX9Gd1T1r4CDgGdX1XeHltkf2Aj4KX88L/nAleiDJEnz3qyPpq6qZfSXw6yqnwMvGmOZm4BD+kmSJOFdmyRJas4wliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpsVmFcZIDkxw38PxeSd6b5D+T/CbJp5NsPmK53ZJ8M8lNSS5L8vyV6bwkSWuCdWdSOclWwAnALsANA7OOAe4DPAa4FXgdcGaSJ1bVnf2y2wOnAwcD5wOPBE5N8ruq+uLKvhFJkuarGYUxXRD/EHg98AWAJNsBewHbVNXv+nrvTLI78FfAqX3ZkcD7qurc/vmlSV4KnJTkzKqq2b8NSWuqhYef1boLY1vynr1bd0Hz1Iw2U1fVXlV1GHDbQPFzgNMGgni5E4F9AZIsAJ4BnDLU3kVAATvOsN+SJK0xJnEA12OAxSPKLwZ27h9vA1xbVddOU0+SpLXOJMJ4U2DpiPKlwGbT1BmudzdJDkmyOMniZcuWrXRHJUmai1blqU3VT+PWvWdh1QlVtaiqFm2++T0OzpYkaY0wiTBeBmwxonxL4Npp6tCXj9p8LUnSWmESYfw9YNcR5bsAl/SPfwpsnGSTaepJkrTWmempTaP8M/DVJEdU1R0D5QcAJwNUVSU5C9gfOHZ5hSTLQ/yKCfRDMzSfThmRpDXZSq8ZV9VPgS8B/5Rk0yQbJDmC7qCsMwaqvhN4Q5I9kyxIshPwKeBwzzGWJK3NZhvGtwK/HHj+GuA/gEuBX9BdXWufqvrD8gpVdRXwArqLf9wInAa8rarOnGUfJElaI8xqM3VVLQP+68Dz3wOH99OKlvsu8ITZvKYkSWsq79okSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY0ZxpIkNTbRME6yT5I7ktw+MN2WZK+BOrsl+WaSm5JcluT5k+yDJEnzzboTbm9X4LVVddyomUm2B04HDgbOBx4JnJrkd1X1xQn3RZKkeWHSm6m3A65cwfwjgfdV1blVdVdVXQq8FHhvkky4L5IkzQurLYyTLACeAZwyWF5VFwEF7DjhvkiSNC9MOoy3AT6Y5JdJrkvyuSQPHZh3bVVdO2K5i4GdJ9wXSZLmhYmFcb/mew7dPuHt6dZ0Lwa+nuT+wKbA0ikWXwpsNqLNQ5IsTrJ42bJlk+qqJElzysQO4Kqqu4D9B4puBt6d5GHAK4CvTtfEiDZPAE4AWLRo0T3mS5K0Jlgd5xmfBywClgFbTFFnC2DU5mtJktZ4qyOM1wFuB34KbJxkkxF1dgEuWQ19kSRpzlkdYbwfcEFVFXAWd9+UTZJd+4dXrIa+SJI050zyAK51k5yd5KlJ1kvyoCQfAh4CnNxXeyfwhiR7JlmQZCfgU8DhfVhLkrTWmVgYV9WdwEeBdwHXAd8B7gKeWlW/7+tcBbyA7uIfNwKnAW+rqjMn1Q9JkuabiV4Osw/VFQZrVX0XeMIkX1eSpPnMuzZJktSYYSxJUmOTvmuTJK21Fh5+VusujGXJe/Zu3QUNcc1YkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhozjCVJaswwliSpMcNYkqTGDGNJkhrzFoqrwHy5jZokaW5wzViSpMYMY0mSGjOMJUlqzDCWJKkxw1iSpMYMY0mSGjOMJUlqzDCWJKkxw1iSpMYMY0mSGvNymJK0lplPl+xd8p69W3dhtXDNWJKkxgxjSZIaaxLGSXZIcl6SG5L8JMmrW/RDkqS5YLXvM06yOXAO8GZgb+AhwElJFlTV0VMtd+l/3jiv9nNIkjSuFmvGrwU+X1Wfrqo7q+pqYD/gTUk2bNAfSZKaahHGzwVOHCyoql8CFwNPbtAfSZKaWq2bqZPcG9i6qn4wYvbFwM7A2auzT5KkuWtt2T25uvcZ3x/4zRTzlgLbDBYkOQQ4pH96y8/e+6wrV2HfZmszpn5PWrUc+7Yc/7Yc/7aGx/9hK9PYXLvoR93tSdUJwAmN+jKWJIuralHrfqyNHPu2HP+2HP+2Jj3+q3uf8XV0f02MsgVw7WrsiyRJc8JqDeOqugP4cZJHjZi9C3DJ6uyPJElzQYujqc8ADhgsSLIlXRh/rUF/Vtac3oy+hnPs23L823L825ro+Keqpq81yRdMNgW+AxwJfJbuoh8nAqdV1bGrtTOSJM0Bqz2MAZJsD3wE2I3uaLQPGsSSpLVVkzCWJEl/5F2bJElqzDCeQpIDkxw3xbwHJ7kqyUZD5Rsl+ViSa5L8KsnRXm97dqYa/yQPSnJiklNGzPNuYBMwPPZJtkzymSQ3JvlN/73+k6FlkuSwJEuSXJ/kzCRbr/7ez19J9khyUZJbklyR5NAkGZg/7ffbz2H2xhj/Fc7v68z+N6iqnAYmYCu6S3L+GrhixPx16I76/j2w5dC884APAPcFNgKOBc5o/Z7m07Si8Qe2A34MHAqsNzRvc+Bq4MV0F7PZGvg6cGjr9zRfplFjDwS4CDgC2BDYBPg48OmhZf8H8G90B2SuB7wMuBLYqPX7mg8T8HjgCuCx/W/MI4HvAq/u54/1/fZzWGXjv8L5M/mMpuxD60GYa1P/Y/Q+YMcpwvjtwDHAksEwBp4OLB6quwC4FNit9fuaL9NU498HwfeBp0yx3DuBDwyVPYjuMqsbtn5f82EaNfbAo4DvD9VbD7gJWL9/vjHdgZibDdU7Fji89fuaDxPwHuAJQ2V/Bvygfzzt99vPYZWO/wrnj/sZrbAPrQdhrk7AwuEwBp5Kd0OLe48I4+OAvxvRzmHA+1q/n/k2DY8/8G7glSuofznw6BHlZwN7tX4/82kaHHtgJ+Dfh+bfi+5qevfun7+A7raow+08Dvhu6/czXydgA+C6/vG0328/h1U3/uPMX9nfIPcZjynJFsDxwIuq6ncjqjwGWDyifPndqDRLSe4HPAXYJMl/9Pstj0+yQT9/nLuBaRaq6ofA9Unek2SzJA8BTgJOHPh/MNV3/xLg0cP71TS2XYDLZvD99nOYrF2Ay8aZP4nfIMN4DEkWACcDb6+qqe4ctSnd5ohhS5n6etwaz7Po9tFU/+/2dPtkTurnT3c3MMd/5RwM/DdgGfBzuv1nbx2YP/K7X1V3ArcA91v1XVyz9MG5fJfYuN9vP4cJGRr/ceav9G+QYTyeI4BfVtVJ09YczZO5V86TgFOr6t1VdWNVXUt3a82dkuw0xvKO/ywlWR/4F+BDdAclbglcAJw+g2Yc/5k7Eritqj47Rt1xx9fPYXzTjf9MPh8YY+wN42n0a8WvBfZPcvvyie7elUuSHNFXXUZ356lh3o1q5T0U+PxgQVXdBZwLPBHvBrYqPQdYUlVvrqqbqmop3ZrylkmW3z5u5Hc/ybrAfYCbV1tv1wBJXkh3RO6L+6Jxv99+DhMwYvzHmb/Sv0GG8TSq6q6q2ryq7l1V6y+fgJ8BC6vq3X3V7wG7jmjCu1GtvN8Dd4woXwAsKO8GtiotpDu16f/r/xC6CNimL5rqu78z3ZHYrpGNKcnuwIeBZ1fV9TCju935OaykUeM/zvxJ/AYZxpNzBvCSwYJ+v8JLGFqr04x9G9hzsKDfYvFU4Jt90Zp2N7C54sfAo0eUP6afB/CvwBP7m8AMOoDuc9EYkjyc7rfioKq6fGj2ON9vP4eVMM34Tzuflf0Nan34+FydGHFq09D8Jdzzoh9nAe+n2yS0EXBoqcukAAAFEElEQVQ0cHrr9zIfJ+5+es0mdFsiXk53WtkD6C48cepA/U2Bq4AX0Z2Uv7D/D/DqFv2fz9PQ2N+L7vzu/95/rzcBPgicN7TMYcCX6S4csh5wEN1FEu7X+v3Mh4nuHOEfAX8/xfyxvt9+Dqts/Fc4fyaf0ZTLtx6EuTrRXU3lghXMvxC471DZ/ejucXkN3VWMjsYLTkxk/IFtgTOB6/vx/QD9ea4DdbanuwrajcBPDOKJjf0DgFOAG+iOGD0WuM+I5f6e7o/UG/rPauvW72W+TMAb6A7yuX1oug14cl9nrO+3n8Pkx3+cz2cmn9Goybs2SZLUmPuMJUlqzDCWJKkxw1iSpMYMY0mSGjOMJUlqzDCWJKkxw1hawyS5tHUfJM2MYSxNSJJDkxy8gvnfW01d2XYSjSR5QJLfDdwg5bYkT51E2yt4zf82eEOWJL9ala8nzRWGsTQ5m/bTVGYUkklen2Tk/VRXVpJdk5wyTbUNgavrjzdI2aCq/m1V9Ge5qjqm7n5DlvuvyteT5op1W3dA0mhV9YFV2Px96a4zLWkOcM1YaiTJfZMcn2RZkhuSfK6/M8zy+S9LcujQMq9McmWSW5J8K8lTkvzt8ObxJFsmOT3JjUmuSLLvwLzzgPOBp/ebgj8+y/4/LsmX+9f4dZKzkuzUzzu07//Lk/ykr3Nikg2SPCTJaf17virJgbN5fWlNYhhLDSRZB/gScBnwcLo7vJwHnNvfdg26TbSbDizzFrq78OxHd1OSg4E3988HN48vAD4LHN+Xvxw4PsnWAFW1J7AH8OV+c/DLZ9H/J9DdhOAkupunb013C7ln91U2BV4HPI7uHrtb062JH9f37Vi6m7H/DfDBJNvPtA/SmsTN1NJkvT3JW6eYd++Bx/sBF1bV0QNlH0uyPvAq4C2DCyZ5IPC3wCOq6tq++IdJngNcCZwzUH094MiqWn4P1W8kORH4K7pbfE7CsXT3dT17oOyfhur8GnhF9XejSXIYcDndXW6W9+3CJJ8CngO8d0J9k+Yd14ylyXrz4AFIQwcj3TpQ75nAG4eOHL4dOIpuTXPYM4EvDgQxAFV1E3D6UN076W7xOehK4KEr88aW69ew7zsUxKN8pe5+W7gfT9G3K+juvyuttVwzltp4APDMGRydvAXwiynm/Qd3/8P6D0MhCF0IrjezLk5pS+BnY9S7c/BJVd2ZZFTffj/BvknzkmvGUhvLgEfPoP5S4CFTzFvda5XXMHVfJM2CYSy18SXgkCR3WyNMsk2Sx42ofy7wl0k2Gap/X+D5s3j94bXT8Res+glwV5Inz7YNSXdnGEttnEa32fnzSbZNsiDJ7sAFdBfbuJuq+iXwj8CXkjyqr/8I4AvA95l5uN4EPDTJPV5rTK8BTkmyT5J7JfmTJH+X5G2zbE9aqxnG0uRcT7cJdypXLH9QVXcBfwn8O905v7cA/wC8tKq+OtDetQPLvAX433SnEN1Md/Tyu+gOjLpu4HWumqJvgwd/fZ9u0/cvk+w6/Vu7u6o6FzgAeGPf7uXAIuCjfZVrh15vJn2T1jq557EUkuaLfjP3D4B9q+pHE257IXBuVe0wyXZn2Ifb+yPRpTWaa8bSPJHksf2m4K36zdTbAp8Bvj3pIJa0ehnG0vxxOd25wl+j26x9NnAJ3RW2VoXfAluv5rs2HTp03vX1q/L1pLnCzdSSJDXmmrEkSY0ZxpIkNWYYS5LUmGEsSVJjhrEkSY39Pzo7o0koWAucAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b0ede48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Default\n",
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax)\n",
    "save_fig(fig, \"../images/bar.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/step.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b5b6c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot.step(ax=ax)\n",
    "save_fig(fig, \"../images/step.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/scatter.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82af8a320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(\"scatter\", ax=ax)\n",
    "save_fig(fig, \"../images/scatter.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/line.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82afb2978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(\"line\", ax=ax)\n",
    "save_fig(fig, \"../images/line.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/fill.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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Wq4k6shIpZ1lVS+gyRIJTGEukpVLOqho1UUeZelWLKIwl4iobe+gYUDNnlFUc7KG5dzh0GSJBKYwl0pZXqYk66tzT8xyLlDOFsUSaJoYoDWqqlnKnMJbI2nm4lyY1b5aE6uZ+9rUPhi5DJBiFsUSWBvooLbo6lnKmMJbI0sQQpUXfG0s5UxhLJO1tG6C+40joMiSHDnQeoepwX+gyRIJQGEskqYm6NC3e0RS6BJEgFMYSSQrj0vTMzhbcPXQZIgWnMJbIaewaoqalP3QZkgctfTE2H+gOXYZIwSmMJXJWVGss41KmXtVSjhTGEjmaGKK0La9qIZ5MhS5DpKAUxhIpbf0xth/qDV2G5FHPUJwX6zpDlyFSUApjiZSV1a2of0/pU1O1lBuFsUSKJoYoD89WtxKLJ0OXIVIwCmOJjO4jo2xpUE/bcnBkNMlzu9tDlyFSMApjiYxVNa0kU2qjLheLtmsAECkfCmOJDA30UV7W7u2gPxYPXYZIQSiMJRIGYnHW7+sKXYYU0GgipT/ApGwojCUS1tS2M6p7T8uOZnKScqEwlkjQFVJ52rC/i46BkdBliOSdwliKXiyeZO2ejtBlSADJlLOsSsOfSulTGEvRW7ung2Hdc1q21KtayoHCWIreymo1UZezbY29HOoeCl2GSF4pjKWoxZMpVu9uC12GBLZkpzpySWlTGEtRW7+vk4FYInQZEtji7QpjKW0KYylq6kUtALWtA9S1DYQuQyRvFMZStFIpZ1WNmqglTTM5SSlTGEvR2tLQTdeR0dBlSJFQGEspUxhL0VITtYx1sGuI7Yd6Q5chkhczDmMz+6KZ3ZP5eY6ZtZlZbNzym3GPOdnM7jOzdjNrMbOfmdnrZ/skpPS4u25pkldRRy4pVdMOYzN7m5ktA24B/jyz+p3AQXc/cdxy2biHLwT6gfcA7838/odnXr6Uqh2H+2jpi4UuQ4rMMzubSWkaTSlBM7kyvhfYBXx4zLqzgT3HepCZfRQ41d2/4e4D7t4HfA0428w+MIM6pIQt36UhEOXV2gdG2HRAs3dJ6Zl2GLv7Je5+LTA8ZvWUYQxcCiwYd6wU6SvjT0+3DiltK/V9sUxCMzlJKcpVB66zgQ+b2W4z6zezSjMbH7AXABUTPLYSuDBHdUgJ2N3ST0OXhj+UiS3f1Upc02lKiclVGO8BXgD+AjgDuB64zcw+O2afU4GJbhptA06b6KBmdo2ZVZhZRUeHZu0pF+pFLcfSOxTnhb36PJDSkpMwdve73P277t7g7kPu/izwt8BN2R5ikuPe6+7z3H3e3Llzc1GqRIB6UctUFqlXtZSYvN1n7O6bgDPM7I2ZVR3A6RPsejqgHhkCwIHOI9S2athDObbVu9sYHtW0mlI68hbGZmaZH48OofQScPEEu14EbMtXHRItaqKWbAyNJlml2bykhORzBK5LgJ3ufjSMnwCuGLtDJrCvAJ7MYx0SISt0S5NkSQOASCnJSRib2b+Z2bVmdoqZnWhmnwF+AXzz6D7u/jzQYWY/NrM3mtnJwJ3AHnffnIs6JNqae4fZ2dQXugyJiBf2dtA3FA9dhkhOzCaMjwBH/zRdAPwR6V7VLcCXgU+5+5Zxj7kMOBmo53f3JX9xFjVICVlZ3YprcCXJ0mgyxYpqtaRIaTh+pg909w4yw2G6eyPp3tNTPaYfuCaziLzCcn1fLNO0aHszn/sv7whdhsisadYmKQqdgyNUNHSHLkMiZlN9F+39GsNcok9hLEXh2eo2NP6/TFfK4ZmdaqqW6FMYS1FYoYE+ZIYWa6xqKQEKYwmubzjOxv2docuQiNp+qJdGjWUuEacwluCe291GPKk2apm5JTt1dSzRpjCW4DTqlsyWBgCRqFMYS1BDowleqNMMPDI7e9oGqG3tD12GyIwpjCWotXs6iMU1N63Mnq6OJcoUxhKUmqglV/S9sUSZwliCGUkkWVPbHroMKRGHuofZ1tgTugyRGVEYSzDr93UyOJIIXYaUEDVVS1QpjCUYNVFLri2taiGpodwkghTGEkQy5ayq0eTwklsdAyNsqu8KXYbItCmMJYjN9V30aC5ayYNF25tClyAybQpjCULTJUq+rNjVymhCt8tJtCiMpeDcnWdrFMaSH/2xBGv3qJe+RIvCWApuW2Mvbf0jocuQEqaZnCRqFMZScCt2af5Zya/ndrczNKrb5iQ6FMZScJq7WPJtOJ5Ub32JFIWxFNSupj4OdQ+HLkPKwCINACIRojCWglqpq2IpkHV1HfQOjYYuQyQrCmMpKI26JYUSTzrLqvR+k2hQGEvB7GsfpK59MHQZUkYW79AAIBINCmMpGDVRS6FtOdBNW38sdBkiU1IYS8Es1y1NUmAphyW651giQGEsBXG4Z4hdTf2hy5AypDCWKFAYS0Go45aEsuNwHw2dR0KXIXJMCmMpCIWxhKThMaXYKYwl79oHYmxr7AldhpQxhbEUO4Wx5N3K6jZSHroKKWf72gepaVafBSleCmPJu5VqopYioKtjKWYKY8mr3qFRNtV3hS5DhCU7mnFXE40UJ4Wx5NWqmjYSaqOWItDUO6y+C1K0FMaSVxp1S4qJZnKSYqUwlrw5MpJgXV1n6DJEXrasqoWkWmqkCCmMJW/W1LYzkkiFLkPkZZ2Do6zfpz8QpfgojCVvVqiJWoqQelVLMZpRGJvZF83snjH/fo2Z3WJmTWbWaWa/MrO5EzzuA2a23sz6zazazD4zm+KleMXiSdbWtocuQ+RVVla3EosnQ5ch8grTCmMze5uZLQNuAf58zKa7gLcDF2T+uxtYYmbHj3nsOcDjwPeAU4DPAzea2Sdn9QykKK2r6+TIqD7wpPgMxBL8fO3+0GWIvMJ0r4zvBXYBHz66wszOBi4Bvuzune4+7O43A13A34x57A3Are6+wt1T7l4FfAm4xcxsNk9Cio/GopZi9vO1+6lrGwhdhsjLphXG7n6Ju18LDI9Z/dfAQncfGbf7fODTAGY2B/gE8Mi4420FHDh3mnVLEUskU6ze3Ra6DJFJjSZTXPvETlLqWS1FIhcduC4AKiZYXwlcmPn5PUCXu080FNPY/aQEbKzvom84HroMkWN6qbGX+RsbQpchAuQmjE8FJroMagNOm2Kf8fu9gpldY2YVZlbR0dEx60KlMJariVoi4raVezjcMxS6DJG83trkmSXbfV+90v1ed5/n7vPmzn1V52wpQqmUs6pGTdQSDUdGk/y/p3aFLkMkJ2HcAZw+wfozSHfiOtY+ZNZrJoESUdnYQ8fA+O4DIsXr+b0dPPXS4dBlSJnLRRi/BFw8wfqLgG2Zn+uBU8zszVPsJxG3vEpN1BI9Ny2poWtQf0RKOLkI46eBz5jZa8atvxJ4AsDT85YtBS4bu4OZHQ3x2hzUIYF1DIywsOJQ6DJEpq1nKM53l9SELkPK2KzD2N3rgWeAB83sVDN7nZldT7pT1hNjdr0Z+JaZfdzM5pjZ+4CHgOtck4yWhNtW7mFwJBG6DJEZWbyjmTW16u8gYcw0jI8AYwd4/SfgMFAFHALOBz7p7i8PweTu+4DPkh78ow9YCNzk7ktmWIMUkV1NfTxeqatiibZ/e2qX/qCUIGYUxu7e4e5/PubfcXe/zt3PdPfT3P1yd3/VvUjuvsXdP+jub3L389z98dkUL8XjpiU1aPwEibrmvhi3rtC3ZlJ4mrVJZm3pzha2NHSHLkMkJx7edJAKvZ+lwBTGMiuxeJIfLNsdugyRnHGH656sYiShiU6kcBTGMiv3r6unqXd46h1FImRf+yB3r9kXugwpIwpjmbG2/hj3aCo6KVE/f34/ta39ocuQMqEwlhm7ZUUtQ5qzWEpUPOn8yxNVmtlJCkJhLDOy41AvT73UFLoMkbzacaiXB9cfCF2GlAGFsczITc/UoKFapBz85Nm9HOrWzE6SXwpjmbZF25uoPNgTugyRghiOJ/nXp6pClyElTmEs0zI8muSW5RoUQcrLurpO/rNSMztJ/iiMZVp++cJ+mvtiocsQKbjvL62hUzM7SZ4ojCVrLX3D/PL5+tBliATROxTnO4urQ5chJUphLFn70fJahuO6lUnK19KdLayq0cxOknsKY8lK5cEeFm1vnnpHkRL37ad3MRCLhy5DSozCWKbk7ty0RM1zIgCt/TF+pE6MkmMKY5nSk9ua2HG4L3QZIkXjkS2NbK7vCl2GlBCFsRzT0GiCW1fqKkBkLHe4XjM7SQ4pjOWY7vntftr6dTuHyHj1nUe487m60GVIiVAYy6QOdQ9x3zrdyiQymV8+X09Ns2Z2ktlTGMukfrS8lpFEKnQZIkUrkXL+5YmdJDWzk8ySwlgmtLm+i6VVLaHLECl6VU19PPCiWpBkdhTG8iqplHPTMzWhyxCJjNtX7eVg15HQZUiEKYzlVR6vPES1vgcTyVosntLMTjIrCmN5hYFYnB+v3Bu6DJHIWb+vi4VbD4UuQyJKYSyvcNdv92lmGpEZ+v7SGtoHNKuZTJ/CWF52sOsI//FiQ+gyRCKrP5bgO4s0dKxMn8JYXnbz0t2MJnUrk8hsLN/Vysrq1tBlSMQojAWADfs6eVZTw4nkxA2LdtGvmZ1kGhTGQlK3MonkVFv/CD9ctjt0GRIhCmPhN1saqW0dCF2GSEl5dOshNu7XzE6SHYVxmesbjnP7Kt3KJJJr6ZmddhKLa2YnmZrCuMzd+Vwd3UdGQ5chUpIauob499Wa2UmmpjAuY/s7BlmwsSF0GSIl7f519exq6gtdhhQ5hXEZu3npbuJJzTYjkk9HZ3ZK6LZBOQaFcZl6fm8Ha2rbQ5chUhaqm/u5b92B0GVIEVMYl6FEMsX3dCuTSEH9++q9NHRqZieZmMK4DP1q00H2tQ+GLkOkrIwkUlz35E7c9dWQvJrCuMz0Do3y78+pd6dICJvqu3lUMzvJBHIaxmb2STMbNbPYmGXYzC4Zs88HzGy9mfWbWbWZfSaXNcix3bFqL71DGqZPJJQfLNtNW79mdpJXyvWV8cXA1939xDHL69x9GYCZnQM8DnwPOAX4PHCjmX0yx3XIBOraBvj15sbQZYiUtYFYgm8/vSt0GVJkch3GZwN7jrH9BuBWd1/h7il3rwK+BNxiZpbjWmScm56pIZHS91UioT1b08byqpbQZUgRKVgYm9kc4BPAI2PXu/tWwIFzc1yLjPHc7jbW1XWGLkNEMm5YXE2fvjKSjFyH8XuA282s2cy6zew/zewdY7Z1uftEI6dXAhfmuBbJiCdT3LxUM8iIFJOOgRFuXqZbDCUtZ2GcufJdTvo74XNIX+lWAuvM7PeAU4HJJsxtA06b4JjXmFmFmVV0dHTkqtSyM39DA/W6v1Gk6CysOMz6fWqxkhyGceY74Mvc/XF3H3D3Nnf/IemA/ko2h5jgmPe6+zx3nzd37txclVpWugZH+KluZRIpWtc/WaWZnaQg9xmvBOYBHcDpk+xzOqCJP/PgJ6v2MhBLhC5DRCbR2D2kaUylIGF8HBAD6oFTzOzNE+xzEbCtALWUld0t/TymAQZEit4DLx5g5+He0GVIQIUI488Bazw9BtxS4LKxG83s4syPtQWopax875kakrqVSaToJVPOvzxRpZmdylguO3Adb2bLzOwjZnaCmZ1pZncAbwcezux2M/AtM/u4mc0xs/cBDwHXuQZszamV1a1s2K+Wf5Go2N3Szy9fqA9dhgSSyw5cCeDnwA+AbmAzkAI+4u7xzD77gM+SHvyjD1gI3OTuS3JVh8BoIsUPlulWJpGoufO5Ouo7NIlLOTo+lwfLhOoxg9XdtwAfzOXvlVd6cP0BDnYNhS5DRKZpJJHiuieqeOwrH0CDEpYXzdpUYjoGRrhrzb7QZYjIDG1p6NYY8mVIYVxiblu5h8ER3cokEmW3LK+ltU8zO5UThXEJ2dXUx+OVupVJJOoGRhL829NVocuQAlIYl5CbltSgO5lESsPq3e0s2t4UugwpEIVxiVi6s4UtDd2hyxCRHPq/C3dw64paRhO6/7jUKYxLQCye1K1MIiUomXLuWbufT971Irtb+kOXI3mkMC4B96+rp6l3OHQZIpInta0DfOqu9dz9230aVa9EKYwjrq0/xj1r94cuQ0TybDSZ4scr9/A3v9iggUFKkMI44m5ZUcvQqKZfEymGbdVXAAAMLElEQVQXLzX28pd3vshD6w+gUYRLh8I4wrYf6uWpl9TbUqTcDMeT3Likhi/cv1lfUZUIhXGE3bSkGv1hLFK+Nuzv4hN3vMDCCo0vEHUK44hatL2JbY2a/1Sk3A2MJLj2P3fy9/O30jEwErocmSGFcQQNjyb50XJN/ywiv7N6dzsfu+N5lu5sCV2KzIDCOIJ+8fx+WjRurYiM0zMU56uPbOP//OYl+obiocuRaVAYR0xz7zC/fEG3MonI5BbvaOZj//48v93THroUyZLCOGJ+tLyWWFxD44nIsbX1j/Dl/9jK9U/u5Ihmcit6CuMIqTzYzeIdzaHLEJEI+c2WQ3zipy+wub4rdClyDArjiHB3vrukJnQZIhJBh7qHuey+TXz/mRpicQ0SVIwUxhHxxLYmdh7uC12GiERUyuH+Fw/wVz97kZ2HdVtksVEYR0DPkVFuXaFbmURk9va1D/LpezZw+6q9xJPqf1Isjg9dgEyutrWf+RsaePqlZobVtCQiOZJIOXc+V8ea2jZu/+wfcfbpbwpdUtlTGBeZRDLFyuo25m9sYMuB7tDliEgJ29XUz1/97EW+8dGzufq/vZs5cyx0SWVLYVwkOgdH+M3mRh7Z0qgBPUSkYEYTKX64vJbVu9u47TMX8M5T3xC6pLKkMA5s+6Fe5m9oYGlVC6MJfX8jImFsbejhL366jusvOZcrPvDO0OWUHYVxAKOJFM/sbGb+hgZ2qIe0iBSJodEk3356F89Wt/Ljv7mAM04+MXRJZUNhXEAtfcP8elMjj25tpHNwNHQ5IiITWlfXycfueJ7vfup8Lr3wbaHLKQsK4wLYVN/Fgo0NPFvdRiKlCYhFpPj1xxL882M7WLmrjZsvfR+nvvG1oUsqaQrjPBkeTfLUS00s2NhAbetA6HJERGZkRXUrFQe7ufnS9/Px888IXU7JUhjnWGPXEAs2NvB45WH6hjWFmYhEX+fgKF95uJJPX/T73PjJ8znpxBNCl1RyFMY54O48v7eDBRsPsnZPO2qJFpFS9OS2Jjbt7+LWv7mAD/3BaaHLKSkK41kYiMV5vOIwv9p0kPrOI6HLERHJu+a+GFc8uJnL//id/Osl5/K61xwXuqSSoDCegbq2AeZvbOCpbU0cGdUwlSJSXtzh4U0HWVfXwU8+ewEXv/PNoUuKPIVxlpIpZ/XuNuZvaGDDfs0LKiLS0DXEZ36xkav/9N1c9cF38ZaTdF/yTCmMp9BzZJTfbG3k15saaeodDl2OiEhRSTn88vl6fvl8Pae98bWc+9Y3cd6ZJ3HeW0/i/DNP5t2nvUFjXmdBYTyJXU19PLShgSU7mhnRMJUiIlPqHBxhXd0I6+o6X173uhOO45wzxgb0SZz71pM48QR91zyWwniMeDLFsqoW5m9oYFujJt8WEZmt4XiS7Yd62X7od5+px80xzjr19Zx35smcPyaky3lgEYUx0N4f49eZGZM6BkZClyMiUtKSKWd/xxH2dxxhyY7ml9e/5U2v5bwzT8oE9Mmcd+ZJnHXq6zEr/WbuIGFsZu8Ffgr8MdAF3O7udxe6jprmfn7+/H5W7GohntTNwSIiIbUPjNC+p4O1ezpeXveG1xzHe9/6u6vn8848ibNPf1PJNXMXPIzNbC6wHPg28JfA24EFZjbH3X9WyFoe3dr4ir/KRESkuBwZTVJ5sIfKgz0vrzt+jvHuuW94uZPY0avpU17/moCVzk6IK+OvA0+6+68y/z5gZp8DXjKzB9x9KEBNIiISEYmUs7dtkL1tgzy9/XcXVG89+cSXv4M+L9PU/Y5TXx+w0uyFCONLgc+PXeHuzWZWCfwZsCxATSIiEnEtfTFa+mKs3t3+8ro3nXg8556RCeczT+JP/2BuUc7TXNAwNrPXAu9y950TbK4ELqSAYXzmKa/jfb9/UqF+nYiIBDAUT1BxsJuKg92ccJwV5RzNhb4y/j2gc5JtbcB7xq4ws2uAazL/HDSzPXmsbaZOY/LnJPmlcx+Wzn9YOv8zsDR3hxp//t85m4MV261Nr+jS7O73AvcGqiUrZlbh7vNC11GOdO7D0vkPS+c/rFyf/zm5OlCWukn/NTGR00nf5iQiIlJWChrG7j4K1JnZ+yfYfBGwrZD1iIiIFINCXxkDPAFcOXaFmZ1BOoyfD1DPbBV1M3qJ07kPS+c/LJ3/sHJ6/s29sCNPmdmpwGbgBuAx0oN+zAcWhhiFS0REJLSChzGAmZ0D3Al8gHRvtCDDYYqIiBSDIGEsIiIivxPiO2MREREZQ2E8CTP7opndM8m23zezfWZ28rj1J5vZfWbWbmYtZvYzM4vGwKhFZrLzb2Znmtl8M3tkgm3vNbOVZtZrZvvN7KuFqba0jD/3ZnaGmf3GzPrMrDPzvn7DuMeYmV1rZg1m1mNmS8zsXYWvPrrM7GNmttXMBs2s1sy+ZmPmDszm/a3XYeayOP/H3J7ZZ+afQe6uZcwCvI30kJytQO0E248j3es7DpwxbttK4CfAm4CTgbuBJ0I/pygtxzr/wNlAHfA14IRx2+YCB4DLSQ9m8y5gHfC10M8pKstE5x4wYCtwPfB64M3A/cCvxj32X4HnSHfIPAG4CtgDnBz6eUVhIT2dbC3wXzKfMecDW4CvZrZn9f7W65C383/M7dN5jSatIfRJKLYl82F0K3DuJGH8PeAuoGFsGAMfBSrG7TsHqAI+EPp5RWWZ7PxngmAH8OFJHncz8JNx684kPczq60M/rygsE5174P3AjnH7nQD0Aydm/n0K6Y6Yp43b727gutDPKwoL8CPgg+PW/RGwM/PzlO9vvQ55Pf/H3J7ta3TMGkKfhGJdgLPGhzHwEdITWrx2gjC+B/g/ExznWuDW0M8nasv48w/8EPhfx9i/BvjDCdYvAy4J/XyitIw998D7gO3jtr+G9Gh6r838+7Okp0Udf5z/CmwJ/XyiugCvA7ozP0/5/tbrkL/zn8322X4G6TvjLJnZ6cAvgL9195EJdrkAqJhg/dHZqGSGzOwk4MPAm83scOZ7y1+Y2esy27OZDUxmwN13AT1m9iMzO83M3g4sAOaP+f9gsvf+NuAPx3+vJlm7CKiexvtbr0NuXQRUZ7M9F59BCuMsmNkc4GHge+4+2cxRp5JujhivjcnH45bs/BXp72g8899zSH8nsyCzfarZwHT+Z+dq4H8DHUAj6e/PbhyzfcL3vrsngEFA85ROUyY4j34llu37W69Djow7/9lsn/VnkMI4O9cDze6+YMo9J6abuWfnT4FH3f2H7t7n7l2kp9Z8n5m9L4vH6/zPkJmdCCwC7iDdKfEMYA3w+DQOo/M/fTcAw+7+WBb7Znt+9Tpkb6rzP53XB7I49wrjKWSuir8OXGZmsaML6bkrG8zs+syuHaRnnhpPs1HN3juAJ8eucPcUsAL4EJoNLJ/+Gmhw92+7e7+7t5G+Uj7DzI5OHzfhe9/MjgfeCAwUrNoSYGafJ90j9/LMqmzf33odcmCC85/N9ll/BimMp+DuKXef6+6vdfcTjy7AQeAsd/9hZteXgIsnOIRmo5q9ODA6wfo5wBzXbGD5dBbpW5telvlDaCvwnsyqyd77F5Luia0rsiyZ2Z8APwU+5e49MK3Z7vQ6zNJE5z+b7bn4DFIY584TwBVjV2S+V7iCcVd1Mm2bgI+PXZFpsfgIsD6zqtRmAysWdcAfTrD+gsw2gNXAhzKTwIx1JenXRbJgZu8m/VnxZXevGbc5m/e3XodZmOL8T7md2X4Ghe4+XqwLE9zaNG57A68e9GMp8GPSTUInAz8DHg/9XKK48Mrba95MuiXi70nfVvYW0gNPPDpm/1OBfcDfkr4p/6zM/wBfDVF/lJdx5/41pO/v/ufM+/rNwO3AynGPuRZYRXrgkBOAL5MeJOGk0M8nCgvpe4R3A9+cZHtW72+9Dnk7/8fcPp3XaNLHhz4JxbqQHk1lzTG2vwC8ady6k0jPcdlOehSjn6EBJ3Jy/oE/AJYAPZnz+xMy97mO2ecc0qOg9QH7FcQ5O/dvAR4Bekn3GL0beOMEj/sm6T9SezOv1btCP5eoLMC3SHfyiY1bhoE/y+yT1ftbr0Puz382r890XqOJFs3aJCIiEpi+MxYREQlMYSwiIhKYwlhERCQwhbGIiEhgCmMREZHAFMYiIiKBKYxFREQCUxiLiIgE9v8BAWQoV55pXKwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82aea28d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot.fill(ax=ax)\n",
    "save_fig(fig, \"../images/fill.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Customization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar1.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82aee41d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_values=True)\n",
    "save_fig(fig, \"../images/bar1.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar2.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b2cf240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_values=True, color=\"#c0ffc0\")\n",
    "save_fig(fig, \"../images/bar2.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar3.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b04b668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_values=True, color=\"#c0ffc0\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/bar3.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar-cmap.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82ad97080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, show_values=True, cmap=\"Greens\", lw=1, edgecolor=\"black\")\n",
    "save_fig(fig, \"../images/bar-cmap.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar-err.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b2db208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, color=\"#c0ffc0\", lw=1, edgecolor=\"black\",\n",
    "      errors=True)\n",
    "save_fig(fig, \"../images/bar-err.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/bar-stats.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b2aaba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H.plot(ax=ax, color=\"#c0ffc0\", lw=1, edgecolor=\"black\",\n",
    "      errors=True, show_stats=True)\n",
    "save_fig(fig, \"../images/bar-stats.svg\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2D plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/map.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82add9e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H2 = h2(heights, weights, \"human\", axis_names=[\"Height [cm]\", \"Weight [kg]\"])\n",
    "H2.title = \"Physical attributes of Fakeland people\"\n",
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax)\n",
    "save_fig(fig, \"../images/map.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/map-lw0.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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+X02v3eLScEq98m4iXZuZSjoltB1wHPCNSNc2zMysSZTGsZ5C6lFdfj/yyaR7gzcg/W/+InCFpC0i63GsNNjEJcCBpM5fE4CLJM2NiKoDjJS4JTpIkW6yPgXYk9QR4S5gb+DTEVG0V6yZDQ0zSdfk2+0pGjfAyFA0hdTBa+vSBKU7JnYg9R15LiLmRMQxpOvLu5XN+3Xg+IiYGhELIuIu0rXu46T+x7wGfE3UzMy6Q3YrztSIWFvSV0idp76Yq7MHsFtE7KE0ROizwDsiYlau3r1ZvWr31wI9djp3hRVWiPHjx7c7DDOzIWPGjBnPRUTdT4Dqj9Lj/OpV6vVeMiUipvRTfwNSj+68GSwcSnVN0tCvlcZJngFsSPVBKoAeS6Ljx49n+vRGDfdqZtZcnXCmsK+v7x/tjiHzekTUM0raKBaOXlZuJgvHKK5WJ1+vqp5KomZm1hlquNz4Jg38QhHUPh71gPXcscjMzFpOUl2vAp4lDcySN5aFj7mrVods+oCPw3MSNTOzlmtBEr0DqDTu90akoUMhjYA2UrlnAFeoV5WTqJmZtZQk+vr66noV8Gtgd0lL5KZPIj0snUjniK8iDW1aHl8p+d4/0EqcRM3MrOWa3RKNiEdI4w6fKWmU0pOWjiR1Frq0rOoxwJclbaf0VKF1SWMRHxE1XIh1EjUzs5ZrUhJ9lTcPOvF50kD6d5EGxZgAfDQbJAf4zxNz9iANuvAS6elA34qIK2pZoXvnmplZyxW8ztmviHgWeH/Z3/OAI7JXf/PdBry3yDqdRM3MrOWakUTbwUnUzMxaahA9bjuOk6iZmbVcwR63HcdJ1MzMWs4tUTMzs4KcRM3MzArwNVEzM7NB6JYk2rYru5L2lXRqlbJVJD0kadnc9GUl/Z+kZyQ9JekkSUu3JmIzM2uUFoyd2xItT6KSVpV0NXAcZTfFlpUPAy4A3gYMzxVfDMwmPUh1bVL85zY1YDMza7gWjJ3bEu2IbApwN7B1lfKjSUM0/at8oqRtgFERcXhEvBwRLwGHAu+QtFkT4zUzswaqtxXayS3Rll8TjYgdACSNz5dJ+gCwA7A58OFc8S7AObllLZB0LrArcEsTwjUzsybo5MRYj45pI0saA5wG7BURcytU2QCYXmH6DGDDZsZmZmaN5ZZoA0kqXdv8dkQ8UKXaKGBmhekzSY+2qbbsycBkgHHjxg0yUjOz1unk5DFY3bJtndISPRJ4MiLOGbBmZVWf+RYRUyJiYkRMHD16dMHFm5lZI3VLS7TtSTRrhR4GfELS66UXqXfuY9lDVAGeBcZUWMQYYFZrojUzs8GS1DW9c9t+OjciFgCLNBElPQZsFhFPZ5PuADYGbspV3Qi4vZkxmplZY3Vy67IenZveF3UpsE/5BKV3YR/gV22JyMzMCvHp3BaLiBuAZyV9X9Jbs9GMfgI8EBG3tjk8MzOrg5Po4L0KPNlP+T+zOuU+ASwLPAKUevHu2/jQzMzMBta2a6IR8SwVhv0rK39fhWmzSberTG5iaGZm1kSd3rqsR9s7FpmZWe9xEjUzMyuok29bqYeTqJmZtZxbomZmZgX4mqiZmdkgOImamZkV5CRqZmZWkDsWmZmZFeBromZmZoPgJGpmZlaQT+eamZkV5JaomZlZAaWHcncDJ1EzAyAi2h1Cx+iWVlIn65Z97CRqZmYt5yRqZmZWgE/nmpmZDYJbomZmZgW5JWpmZlaQW6JmZmYFdNM10e7YCjMzG1JK4+fW+qpxmdtLul3Sa5LukbRnrnxlSZdIel7S45K+KWnYYLbDSdTMzFqu0UlU0obA6cBngRHA3sC3JG2blS8FXAPcAqwETATWBY4fzHY4iZqZWUuVTufW86rB3sCPIuKmiJgfEXcARwP7ZeX7AA9FxAkRMTciZmbz7CVptaLb4iRqZmYt14TTuZG98tPmZ7/vApz9psKIOcBlwEeKboc7FpmZWcs1oWPRmcBUSX8Hriedrv02sFdWvgEwvcJ8M4DNiq7USdTMzFquwC0uK0gqT4JTImJK6Y+IuFfST4Gryur8KCJuy35fDnimwnJnAivUG0yJk6iZmbVUPT1uyzwXERP7WeZWpE5F25JaohsD50iaFhEXsOip3nKFn77ga6JmZtZyTehYdARwWET8NiLmRcQtpFO5X8vKnwdWrDDfGGBW4e0oOuNgSdpX0qllf4+WdIGkFyQ9KelcSWNy8ywh6ThJ/5L0nKTzJI1uffRmZjYYTehYNB6Ylps2A3hb9vsdpNZp3kbA7UW3o+VJVNKqkq4GjgPen01bjHT/zk2k+3cmAI8Dv5FUHuPJwGqkC8SrAfcBV2Tzm5nZENCkW1weBNbPTVsXeDT7/VJgUi6OpYCdgSuKbks7WqJTgLuBrcumbQjcEBEnR8TrEfFCRHwNWBJ4F4CkdwA7APtHxHMRMScijiE1w3dr7SaYmdlgNKElehxwgqTNJS0maQPgHODYrPxC4P9J+oKkJSWtCJwLXBARTxTdjpYn0YjYISK+AswpmzYtIg6vUP3vwKrZ7zsDF0fE3Fyds4FdmxKsmZk1RaOTaET8BTgE+Akwm5Q0fxARF2blb5AaYu8BniKdwr2XdC21sE4/Dfou4H+y3zfgzV2XS2YAx7QsIjMzG7RmDEAfEdcB1/VT/hSwRyPX2bFJVNK+wCMR8VA2aRTpfp68fu/xkTQZmAwwbty4RodpQ9y8efPaHULHeOONN9odAgBLL710u0OwJit4i0tH6sgkKmldUutyqxqqVxrqaWFhuhl3CsDEiRML3wtkZmaN0y2PQuu4JJrd1nI5cEhZKxTgWdL9PHljGcQ9PmZm1nrd0hLtqK8CkoYDvwF+FhG/yRU35R4fMzNrrSbd4tIWHROZ0teSc4BHs1tX8n4N7C5pidz0SaT7f8zMbIhowi0ubdExSZR0L8944FOVCiPiEeBK4ExJoyQNl3QkqVORk6iZ2RDiJDp4rwJPAkhaGTicdEvLC5JeL3udUTbP54EngLtIIxpNAD4aEf9ubehmZjYY3ZJE29axKCKeJRv2LyKeBBavYZ55pBtjB3VzrJmZWSN0XO9cMzPrbp3euqyHk6iZmbWck6iZmVlBTqJmZmYFOYmamZkV5CRqZmZWQGnEom7gJGpmZi3nlqiZmVlBTqJmZmYFOYmamZkV4MEWzMzMBsFJ1MzMrCAnUbMuMHfu3HaHAMCcOXPaHQKvv/56u0MAYPHFB3wWRU/EAN2TaCrplm1zEjUzs5ZzEjUzMyvAHYvMzMwGwUnUzMysICdRMzOzgpxEzczMCnISNTMzK8Adi8zMzAahJ5KopPOB5Qos9/mI2LtYSGZm1u16IokCuwHb1rlMAVMBJ1EzM6uoV5LovyPihnoXKmlBwXjMzKwH9EoSLbqV3bF3zMys4XqpY9HlBZd7RcH5zMysB/REEo2IjxdZaETsUSwcMzPrBT2RRMtJ2obqPXUDeB6YHhEvNSIwMzPrXt2SRPvqqPsB4DDgLGAvYEvgk9nf/w18HrhT0v8OtCBJ+0o6tezvJSQdJ+lfkp6TdJ6k0RXm20zSjZJmS7pH0u51xG9mZh2idF201lenqmewhQuBrYC1IuLx0kRJqwEXkRLsP4HLJD0dEWfkFyBpVWAKsBHwYlnRycBbgQ2AV4EvAldI2iIi5mfzrgVcAhwIXAdMAC6SNDciil67NTOzFuv0xFiPelqixwOfK0+gANnfXwBOiIgXScn00CrLmALcDWxdmiDpHcAOwP4R8VxEzImIY4BZpPtUS74OHB8RUyNiQUTcBewHHKdueTfMzHpEL7ZENwWmVSmbBmyS/X43sEalShGxA4Ck8WWTdwYujoi5uepnk5LoRZL6gO2Bz+WWN01SAO8E7q11Q8zMrL36+uppw3WuepLoC8DqwCMVylbPygFGlv1eiw2AqypMnwEck/2+JjArImZVqbchVZKopMnAZIBx48bVEZY129y5+e9NrffSS53RD+6+++5rdwhMmDCh3SEAndHhpBNi6HbN3seStiOdQT0iIq4pm74v8DVgLHAHcFhE/LXoeur5KvAz4MeS3pR4s79/mJUDfBS4htqNAmZWmD4TWGGAOvl6i4iIKRExMSImjh69SF8lMzNrsXpP5dabcCUdQkqgk3MJdC9Sn5udgOWBE4FfS3pb0W2ppyX6XVKivEvSOcDjwGrAJOAW4DtZvaeAAXvo1iCyV611zcxsiGhWSzS7HXNvYMusn05p+jDgWODDEXF/NvnyrNPqkcDBRdZXc0s068yzP7APsBSwRfZz34jYPyIiqzc1Ip6tI4ZngTEVpo8ldS7qrw7Z9Eqnec3MrEM1oyUqaQngOGD38gSa2Zh0WfCu3PTzSC3TQup+nmhETAemF11hBXeQNu6C3PSNgNuz3x8BRkpaPiKer1Dvuw2Mx8zMmqxAS3QFSeW5Z0pETMnV2Qu4AThZ0takM6NHR8RFpP43i+SuiHhK0nxJq0TEv+oNquaWqKTTs/s8K5VtK+m6elee+TWwe/YNotwk4FKArJV7FfCJ3Ho3zn69HzMzGzIKtESfK/VvyV75BAopiW4P/AgYTRoQ6JuSPswg+tb0p56ORTOA30oaVT5R0n8DPweOKhJARDwCXAmcKWmUpOGSjiRt0KVlVY8BvixpO0l9ktYljZZ0ROlUspmZdb5mdCzKxgvYAjggIq6PiDciYgawP3B0DWEVyiP1XBOdApwBXCvprQCSTiTdu/lfEXFrHet9FXiy7O/PA08Ad5E6LE0APhoR/y5b/0PAHqRBF14CLga+FRF+YoyZ2RDThGuio4GXI+LG8okRcRNp7IKXaULfmrquiUbECVkCvVLSC6QB6TePiHruCyXrePT+sr/nAUdkr/7muw14bz3rMjOznjAPeKNKWR/wV+BT+QJJY4FhRa6HlhZcl4j4Juni7HuAHepNoGZmZo1uiWa56DVJ6+TWsynwKHAzqYNqflSRT5L65hRStSUq6YOkm1ErmUYa7/YcSRdn056PiN8VDcTMzHpHk+4T/SbwC0mTgDtJd36cBRweEQuy/jbnSdoTeBDYEfgs6alkhfR3Onc7+u+tVLoG+qHs57OAk6iZmfVLUlPGzo2IC7IORueycJjaIyLi6qz8YklLAZcDK5Fuo9wlIv5ZdJ1Vk2hEfLnoQs3MzPrTrBGLIuJ84Px+ys8BzmnU+vr9KpDdrFq3ovOZmVlvaObYua00UO/cK4G3FFhu0fnMzKwHdHJirMdASbToSevueFCcmZk1Ra8k0aIjAXkEITMzq6jTT9HWY6AkOkxSxYdd90PZy8zMrKJeSaKrAksXWO5rBeYxM7Me0RNJtM7ngpqZmdWkJ5Kodac33qg2vGRr3XtvvVcKGu/UU09tdwgArLLKKu0OgQkT8qOhtcewYcPaHYK1gJOomZlZAc0asagdnETNzKzl3BI1MzMrqFuSaM3taUlTBijfcPDhmJlZL+iWYf/qOSm9d7UCScOB3w8+HDMz63b1JtBOTqIDns6VdD6wHLC4pKurVHsb6anhZmZmA+rkxFiPWq6JngCMAD4AHFehPIDZwN8aGJeZmXWxnkmiEXE7gKQ/RsQNzQ/JzMy6Xc8k0ZKI2L6ZgZiZWe/ouSQKIOltwG7AOGDxXPGsiDiqUYGZmVl36vTOQvWoOYlK2gU4DTgLuBOYn6vyQuPCMjOzbtaLIxYdA+waETc2KxgzM+sNPdcSBVYGbm5WIGZm1ju6JYnW056+DtiyWYGYmVlv6KnBFsocClwkaV5E/KVZAZmZWffrlmuiVbdC0p2SXiu9gEeBzYE/SZpbXiZpjqQ7BxuMpO0l3Z4t8x5Je+bKV5Z0iaTnJT0u6ZuS/PBBM7MhputbohGxfisDyQawPx34BHAbsB7wC0nPR8R1kpYCrgHOIY3jOxI4FTgeOLyVsZqZ2eB0cmKsRye1p/cGfhQRN0XE/Ii4Azga2C8r3wd4KCJOiIi5ETEzm2cvSau1JWIzM6tbT14TlXQAsHyV4gCeB/4SEQ8UjCWyV35a6X7U0n2qCwsj5ki6DPgIqVVqZmZDQCcnxnrU07FocWAH4B3AJcATwKrA7qQnuDwEHC7pJuDAiMgnxIGcCUyV9HfgemAi8G1gr6x8A2B6hflmAJvVuS4zM2ux6CzEAAAYjElEQVSjbulYVE8SvQ/4N7BWRLxcmijpf4FfZa/DgQuAr1D5iS9VRcS9kn4KXFU2+UcRcVv2+3LAMxVmnQmsUG25kiYDkwHGjRtXT0hNUf93i8Z79dVX2x0CAGeccUa7Q+iIGABOOeWUdofAiBEj2h0C0D3/XK26Tj9FW496jtZjgEPLEyhA9vfnge9GxDzga8Cn6g1E0lbAZ4FtgSWA9wA7Siq1RPvLPlXLImJKREyMiImjR4+uNywzM2uCbrkmWk8SXS8i7q1Sdh+pNy2k07qrFIjlCOCwiPhtRMyLiFtIp3K/lpU/D6xYYb4xwKwC6zMzszbpxST6pKT1qpRNAJ7Mfl8ZeLpALOOBablpM4C3Zb/fAWxcYb6NgNsLrM/MzNqkr6+vrlenqieyHwFTJI0sn5j9fXpWDrArcFmBWB4E8vemrksa5AHgUmBSbt1LATsDVxRYn5mZtUFP3uISEadJGgPcJ+ly4HHSc0U/DJweET/Nqt4M/KxALMcBP5f0HGmwhQmkx64dm5VfCBwm6Quk21mWBU4BLoiIJwqsz8zM2qSTE2M96mojR8Q3SadPbyHdv3kzsHE2vVRnekS8Vm8g2Xi8hwA/AWaTkuYPIuLCrPwN0i027wGeIp3CvZd0LdXMzIaQnmuJlkTEU8DPmxALEXEd6Wkx/a17j2as28zMrF4DJlFJP4mIz0n6LNVHLAKYFRHtv9nNzMw6Xie3LutRS0v0sezna8CS/dSbM+hozMys60nq6B639RgwiUbEidnPM5sfjpmZ9YJuaYnW9VVA0oqSviHplLJp75b0vsaHZmZm3aoVHYskHSDp3Ny0zSTdKGm20nOrdx/MdtScRCWtDvyJNDpQ+bB+s4BznEjNzKxWzU6iktYHTgRGl01bi/QAlW+Tnkm9J3C0pI8W3Y56WqLHAd+PiJPLJ0bEI6Th+Y4vGoSZmfWO0jXRZo1YJOktwPksHGeg5OvA8RExNSIWRMRdpGdWH6eCzd16IvsgKYPDogO+30waXcjMzGxATW6JngqcR8pNpfX1AduTnjT2HxExjZTT3llkO+pJovNZ+IDsvDWp/JgyMzOzRTQriUqaBIxl0bOja5Juxaz0wJIZwIZFtqOeJHopqdn7JpKGAScA5+bLzMzMKimQRFeQNL3sNbnCMtcGjgL2iUUf3jyK9PzpSvp9LnV/6hmx6MvAldn4uX2StiYNGH8Q8E/gO0UCMDOz3lPgFO1zETGxn+UtRRou9uCIKHJmtL9nVldVzwD0r0h6P/Bx4GLgq8CzwDeBiytkfTMzs0U0abCFD5H65lxVlqD7gGGSZpNO146pMu8Y0uM261bX2LkRsYCU6S8ssjIzMzNo/GALEXEZsHhuHVsBR0TE9lnv25GSlo+I53OzbwR8t8h6+02iku4G/k66HnpFRMwushLrLPfcc0+7QwDgtNNOa3cI7Lbbbu0OAYCddtqp3SGw9NJLtzsE6yGtHrEoIkLSVcAnSI/RLMWxcfbr/UWWO1B7emvgatJ9oI9LulrSpyUVugBrZmYGbXsU2jHAlyVtJ6lP0rqk51YfUfSSZL9JNCKejYgzImJHYFXgHGBb4EFJf5B0iKSVi6zYzMx6U7MHWyjzIvB06Y+IeIj0OM2vAy+R+vd8KyKuKLqCejoWvQxcBFwkaUlSMt0ZOErSI8CFEXFS0UDMzKx3tOJ0bkT8ldytmRFxG/DeRq2j7odyZ0HMBa6QNBd4K+m0r1ukZmbWU+pOopLeAexPGrj3LuDnwN4RMa/BsZmZWZdqdceiZqkpiUoaDkwiNYuXAc4G3hMRT/c3n5mZWSU9lURJN7AeBbwCfAm4Ortn1MzMrC4N7nHbVjV1ecpGuR8HHAbsAzws6XhJhUa9NzOz3tamW1warp7euQuAqcBUSSNJN6yeJSmAM4GLPBiDmZnVopMTYz0K3XwTES9GxE9Jt7hMB04Dbm9kYGZm1r26pSVadxKVNF7SFyX9hdQ7dwSwK34ot5mZ1ahbkmitvXPfSUqUuwErAZeTHn32e9/aYmZmvWqgAeiPAj4JLA38BvgC8Cf3zDUzs6I6vXVZj4Faos8A+0XELa0IxszMekO3JNGBBqA/vV0JNBtl/2+SPpSbvq+kByS9JOl6Se9qR3xmZlZcT10TbTVJhwCTgckRcWvZ9L2ALwI7AQ8COwK/lrRlRPyjLcGamVndOjkx1qPjkqikbYC9gS0j4sWy6cOAY4EPR0Tp4amXS1oLOBI4uOXBmplZId2SRAs/pK0ZJC0BHAfsXp5AMxsDsyLirtz080gtUzMzGwLqPZXbyQm3o5IosBdwA3Byds3zfkl7ZmUbkAZ2eJOIeAqYL2mVFsZpZmaD0C1JtNNO5+4FrAb8N+np4+sBF0h6BRgFzKwy30xgBeBf+QJJk0nXVxk3bhwLFrT37pz58+e3df0AI0eObHcIAJx0Uvuf4b7lllu2OwQAxo4d2+4QOvoflVmn6piWqNIneAvggIi4PiLeiIgZpGeXHl3DIqLixIgpETExIiaOHj26cQGbmVlhbok23mjg5Yi4sXxiRNwkaQ3gZWCNKvOOAWY1OT4zM2uQTk6M9eiYligwD3ijSlkf8FdS56I3kTQWGBYRi5zKNTOzztQtLdGOSaIR8QLwmqR1yqdL2hR4FLgZGClpQm7WTwK/bk2UZmY2WO6d2zzfBH4haUNJwyRtApwF/E82Xu+RwHmS1pLUJ+kjwGeB77UvZDMzq1e3JNFOuiZKRFyQdTA6F1gdeAQ4IiKuzsovlrQU6SkyK5GeYbpLRPyzXTGbmVn9Ojkx1qOjkihARJwPnN9P+TnAOa2LyMzMGq1bkminnc41MzMbMjquJWpmZt3PLVEzM7Me55aomZm1VKf3uK2Hk6iZmbWck6iZmVlBTqJmZmYFOYmamZkV5CRqZmZWQDd1LPItLmZmZgW5JWpmZi3XLS1RJ1EzM2s5J9Ehqq+vvWew33ij2nPHW2fEiBHtDgGAvffeu90hMHz48HaHAMCwYcPaHYKZFdBzSdTMzNrPLVEzM7OCnETNzMwK8C0uZmZmHUbStpKmSXpF0v2SDlVZtpa0tqRrJb0o6WFJhwx2nU6iZmbWcqXWaK2vGpa3KfAT4DPAssDHgH2yv5E0GrgGOBdYAfggsKekQwezHU6iZmbWco1OosAuwKcjYlpE/Dsi7gEmAwdl5YcBv4qI8yJifkQ8Cnwc+F9JSxfdDidRMzMb8iLiiIi4MTf5AWDV7PddgLNz8zwJzAC2KrpeJ1EzM2u5Ai3RFSRNL3tNrmE1GwH3SFoSWD0i7qxQZwawYdHtcO9cMzNruQK9c5+LiIl1LF/At4GTgeWA56pUnQmsWW8wJU6iZmbWUi26xeXrwJyI+IWksQPUjaIrcRI1M7OuImlPYG9gk2zS86QeuZWMAWYVXZeviZqZWcs1oXduabmbAz8GdoqIFwAi4g3gQUnrVZhlI+D2otvhJGpmZi3XjCQqaQ3gV8D+EXFvrvhSYFKu/lhSEr2h6Hb4dK6ZmbVco6+JShoJXAX8ICKurlDlZOBWSXcAvwBWI93y8p2IeK3oet0SNTOzbnAgsDbwHUmvl73mSNoqImYBOwL7kq6R/h64OCJOGcxKOzqJSjpA0rm5aZtJulHSbEn3SNq9XfGZmVkxjT6dGxHfjwhFxFK51/CIuD6r80BEbBcRy0bEmoNNoNDBp3MlrQ+cCNxUNm0t4BLSN47rgAnARZLmRsTlbQnUzMzq4qe4NJmktwDnA8fmir4OHB8RUyNiQUTcBewHHKdueUfMzGzI6MgkCpwKnAfcXJogqQ/YHrigvGJETCPdKPvOVgZoZmbFNesWl1bruNO5kiYBY0ktzC3LitYEZmUXh/NKYx/muzSTja84GWDcuHEsWLCg0SHXZfjw4W1dP8CoUaPaHQIAiy3W/sOvE2Iw60WdnBjr0VEtUUlrA0cB+0REfhimUaQxDiuZSZXRKCJiSkRMjIiJo0ePblywZmZWWLe0RDsmiUpaCrgQODginimwiMJjH5qZmRXRSeeyPgSsC1xV9q2jDxgmaTbpdO2YKvOOAe5oeoRmZtYQndy6rEfHtEQj4rKIWLz8/h5gW+C3ETECeAQYKWn5CrMPauxDMzNrnXpP5XZywu2YJDqQ7BrpVcAnyqdL2jj79f6WB2VmZj2tk07n1uIY4HeSHgJ+C6wDnAUcUaEjkpmZdahObl3Wo9OT6IvA06U/IuIhSXsAPwR+CTwOfCMirmhTfGZmVoCTaAtExF9J94uWT7sNeG9bAjIzMyszZK6JmpmZdZqObomamVl36pbTuW6JmpmZFeSWqJmZtVSn3/tZD7dEzczMCnJL1MzMWs4tUTMzsx7nlqiZmbWcW6JmZmY9zi1RMzNrObdEzczMepxbomZm1nLd0hLtuSTa19fexveCBQvaun6A4cOHtzsEAObPn9/uELrmg2xm7dFzSdTMzNrLIxaZmZmZk6iZmVlRPp1rZmYt59O5ZmZmPc4tUTMzazm3RM3MzHqcW6JmZtZybomamZn1OLdEzcys5dwSNTMz63FuiZqZWUt52D8zMzNzS9TMzFrPLdEmkLStpGmSXpF0v6RDVbanJa0t6VpJL0p6WNIh7YzXzMw6S6vzRMckUUmbAj8BPgMsC3wM2Cf7G0mjgWuAc4EVgA8Ce0o6tC0Bm5lZYaXrorW+alxmy/NExyRRYBfg0xExLSL+HRH3AJOBg7Lyw4BfRcR5ETE/Ih4FPg78r6Sl2xSzmZl1jpbniY5JohFxRETcmJv8ALBq9vsuwNm5eZ4EZgBbNT1AMzNrmGa0RGlDnuiYJFrFRsA9kpYEVo+IOyvUmQFs2NqwzMysk7QrT3Rs79ysQ9G3gZOB5YDnqlSdCazZz3Imk04LA7wi6YFGxlnAClTfll7jfbGQ98VC3hcLdcK+eFujFzhjxoxrJa1Q52xLSZpe9veUiJhS9nfhPDEYHZtEga8DcyLiF5LGDlA3qhaknTylWnmrSZoeERPbHUcn8L5YyPtiIe+Lhbp1X0TE9u1YbTMW2pFJVNKewN7AJtmk50nfyCoZA8xqRVxmZtax2pInOu6aqKTNgR8DO0XECwAR8QbwoKT1KsyyEXB7C0M0M7MO06480VFJVNIawK+A/SPi3lzxpcCkXP2xpJ1zQ2sibIiOObXcAbwvFvK+WMj7YiHvi/q0PE8ooimniesmaSRwM/CziPhBhfJRwK2ka6W/AFYjdWW+OCJOaWWsZmbWedqRJzopiX4ZOB6YmysK4EMRcb2ktUijGm1G6oV1ohOomZmVtDpPdEwSNTMzG2o66pqomZnZUOIk2iCS9pV0apWyVSQ9JGnZ3PRlJf2fpGckPSXppG4YB7javpC0sqSzJV1Qoawrn9CT3xeSxkq6UNJLkp7L3vO35OaRpK9IekzSC5KukLR666NvjEY8nalb9kkN+6Lf8qxOV35WhqyI8GsQL9LYvlcDTwP3VygfRuoVNg8Ymyu7FjgBWIb05JpTgEvbvU3N2BfAO4AHgUOBxXNlo4FHSfcGLwasDvwZOLTd29TIfQEImAYcCSwNLA+cAZyXm/drwO9JnSIWBz5NGkd62XZvV4H9sClwP/Du7LMwAbgNOKSe974b9kkN+6Lf8nr2l18tfF/bHcBQf2X/KI8H3lkliZaGLnysPIkC2wDTc3X7gLuAzdq9XY3cF1nC+BuwdZX5jgFOyE1bmTRU19Lt3q5G7QtgPeBvuXqLA7OBpbK/R5I6Q6yQq3cKcES7t6vAfvge8N7ctHcBd9b63nfLPqlhX/RbXuv+8qvF72u7A+iWFzA+n0SBD5AGPl6yQhI9FfhcheV8BTi+3dvTyH0BHAsc3E/9e4H1K0y/Gtih3dvTqH0BrAv8NVe+BGmklSWzv/cgPcopv5xNgNvavT0N2ifDgedrfe+7eZ+U74tayrv5szJUX74m2iSSxgCnAXtFRP62HYANgOkVpnfVU2kkjQC2BpaX9ER2HfA0ScOz8p55Qk9E3A28IOl7klaQtBpwDnB22TFS7bi4HVg/f31siKr36UzdvE82Au6ppbyXPitDiZNoE0jqIz1Z/dsRUe2pMaNIp2DyZlJ9/Meh6MOkazuR/VyLdC3nnKx8oCcvdNO+ADgQ+CzwLPBP0nWwo8vKKx4XETEfeAUY0fwQm6fOpzOV3vuu3Ce5fVFLea99VoYEJ9HmOBJ4MiLOGbBmZd108+77gIsi4tiIeCkiZpEeTbeupHVrmL9r9oWkpYDfAD8kdSQbC/wBuKSOxQz1/fGfpzPVULfWbR2q+2SgfVHPvoKhux+GNCfRBstaoYcBn5D0eulFeibfY5KOzKo+S3qyQF63PZVmHGk85P+IiAXAVGALeusJPTsDj0XEURExOyJmklqmYyWVHndV8biQtBjwVuDllkXbYGVPZ9o7m1Tre991+6TCvqilvJc+K0OGk2iDRcSCiBgdEUtGxFKlF/APYHxEHJtVvQPYuMIiuu2pNPOANypM7wP6oree0DOedIvLf2RfKKax8IHB1Y6LDUk9e4dka2OQT2fqqn1SaV/UUt5jn5Uhw0m0fS4F9imfkF0D2Ydcy22IuwXYrnxC1lr/AHBjNqlbntAzkAeB9StM3yArA/gdsIXSQNrlJpH205CjwT+dqWv2yQD7YsByeuezMnS0u3twt7yocItLrvwxFh1s4Srg+6RTUssCJwGXtHtbGrkvSAMK/AM4gHSrz4qkAQYuKqs/CngI2It0k/l40j+EQ9oRfxP3xRKk+2W/kL3nywMnAtfm5vkK8FvSgA2LA/uTbsIf0e7tKbD9I4H7gC9VKa/pve+GfVLDvui3vJ795VcL39d2B9AtL9JIIn/op/xPwDK5aSNIzwt8hjSyzUl0wQ3T+X0BvB24Angh29YTyO6LLKuzFmkEp5eAh7vln0KFfbEicAHwIqmn5SnAWyvM9yXSF68Xs323eru3peD2f5nU4eX13GsOsFU97/1Q3ycD7Yta9lU9+8uv1rz8FBczM7OCfE3UzMysICdRMzOzgpxEzczMCnISNTMzK8hJ1MzMrCAnUTMzs4KcRM2aTNJd7Y7BzJrDSdS6lqRDJR3YT/kdLQrl7Y1YiKQVJc0te7DBHEkfaMSy+1nnZ8sfpCDpqWauz2yocRK1bjYqe1VTV3KTdLikis9+HCxJG0u6YIBqSwOPxsIHGwyPiN83I56SiDg53vwgheWauT6zoWaxdgdgNlRExAlNXPwypLF0zWwIcUvULCNpGUmnSXpW0ouSfpk9VaNU/mlJh+bmOVjSA5JekXSzpK0lfSZ/GlnSWEmXSHpJ0v2Sdi0ruxa4DtgmO2V6RsH4N5H022wdT0u6qvTg8+zU9qclHSDp4azO2ZKGS1pN0sXZNj8kad8i6zfrRU6iZoCkYcCVwD3AGqSnY1wLTM0eNQXpVOaosnm+QXqayMdJDxM4EDgq+7v8NHIf8AvgtGz6AcBpklYHiIjtgG2B32anTQ8oEP97SYOyn0N6QPPqpMdm7ZRVGQV8EdiE9GzO1Ukt31Oz2E4hPfD5U8CJktaqNwazXuTTudbtvi3p6CplS5b9/nHgTxFxUtm0/5O0FPDfwDfKZ5S0EvAZYJ2ImJVNvlvSzsADwDVl1RcHvh4Rpec9/kXS2cBupEfhNcIppGdQXl027cxcnaeBgyJ76oSkrwD3kp4QUortT5LOAnYGjmtQbGZdyy1R63ZHlXeMyXWSebWs3oeAr+Z6or4O/IDUssv7EHB5WQIFICJmA5fk6s4nPQqv3APAuMFsWEnWol0ml0Ar+WO8+bFND1aJ7X7SczvNbABuiZolKwIfqqO36xjg8SplT/DmL6j/ziUvSMlr8fpCrGos6cHnA5lf/kdEzJdUKbZ5DYzNrKu5JWqWPAusX0f9mcBqVcpa3Yp7huqxmFkTOYmaJVcCkyW9qQUmaU1Jm1SoPxX4iKTlc/WXAXYvsP58a7D2GSMeBhZI2qroMsysGCdRs+Ri0unZX0l6u6Q+SZsDfyANcvAmEfEkcDpwpaT1svrrAJcBf6P+pDgbGCdpkXXV6PPABZI+KmkJSW+R9DlJ3yq4PDOrgZOodbMXSKc6q7m/9EtELAA+AvyVdM/mK8CPgP0i4vqy5c0qm+cbwPmkW0leJvWG/S6pw87zZet5qEps5Z2S/kY6RfykpI0H3rQ3i4ipwCTgq9ly7wUmAj/NqszKra+e2MysCi3ap8DMispOB98J7BoR9zV42eOBqRGxdiOXW2cMr2c9m80Mt0TNCpP07uyU6arZ6dy3AxcCtzQ6gZpZZ3ISNSvuXtK9njeQTv9eDdxOGpGoGV4DVm/xU1wOzd03+0Iz12c21Ph0rpmZWUFuiZqZmRXkJGpmZlaQk6iZmVlBTqJmZmYFOYmamZkV9P8BkHoqZkY8K0IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82aef0358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax, lw=0)\n",
    "save_fig(fig, \"../images/map-lw0.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/map-lw0-values.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82ae5b630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax, lw=0, show_values=True)\n",
    "save_fig(fig, \"../images/map-lw0-values.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/map-0-rainbow.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82ae5bf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax, lw=0, show_values=True, cmap=\"rainbow\")\n",
    "save_fig(fig, \"../images/map-0-rainbow.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/map-rainbow.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82ac84710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax, lw=0, show_values=True, cmap=\"rainbow\", show_zero=False)\n",
    "save_fig(fig, \"../images/map-rainbow.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/map-rainbow-log.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b3cbfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = create_axis()\n",
    "H2.plot(ax=ax, lw=0, show_values=True, cmap=\"rainbow\", show_zero=False, cmap_normalize=\"log\")\n",
    "save_fig(fig, \"../images/map-rainbow-log.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Extra plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Histogram2D(bins=(400, 400), total=1000000, dtype=int64)\n",
      "Saved ../images/image.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82b42db70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Big image\n",
    "\n",
    "data = np.empty((1000000, 2))\n",
    "data[:, 0] = np.random.normal(0, 1, 1000000)\n",
    "data[:, 1] = np.random.normal(0, 1, 1000000)\n",
    "\n",
    "h = h2(data[:,0], data[:,1], 400)\n",
    "\n",
    "print(h)\n",
    "\n",
    "fig, ax = create_axis()\n",
    "h.plot(\"image\", ax=ax, cmap_normalize=\"log\")\n",
    "save_fig(fig, \"../images/image.svg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved ../images/globe.svg\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff82af5f630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Globe\n",
    "data = np.empty((1000, 3))\n",
    "data[:,0] = np.random.normal(0, 1, 1000)\n",
    "data[:,1] = np.random.normal(0, 1.3, 1000)\n",
    "data[:,2] = np.random.normal(1, .6, 1000)\n",
    "\n",
    "# Get histogram data (in spherical coordinates)\n",
    "h = physt.special.spherical_histogram(data)                 \n",
    "\n",
    "# And plot its projection on a globe\n",
    "# fig, ax = plt.subplots()\n",
    "ax = h.projection(\"theta\", \"phi\").plot.globe_map(density=True, figsize=(5, 5), cmap=\"rainbow\", lw=0.5) \n",
    "\n",
    "fig = ax.figure\n",
    "save_fig(fig, \"../images/globe.svg\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       ".vega-embed .vega-actions > a:hover {\n",
       "    color: #000;\n",
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       "\n",
       ".vega-embed:hover .vega-actions > a {\n",
       "    opacity: 1;\n",
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       "\n",
       ".vega-embed .error p {\n",
       "    color: firebrick;\n",
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     "metadata": {
      "jupyter-vega3": "#742cf09c-28a8-4819-aec9-7f2701389064"
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     "output_type": "display_data"
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"
     },
     "metadata": {
      "jupyter-vega3": "#742cf09c-28a8-4819-aec9-7f2701389064"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = dict( cmap=\"Reds\", show_values=True, show_zero=False)\n",
    "H3.plot(backend=\"vega\", width=1280, height=768, write_to=\"vega.html\", **kwargs)\n",
    "H3.plot(backend=\"vega\", **kwargs)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}