{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adaptive histogram\n",
    "\n",
    "This type of histogram automatically adapts bins when new values are added. Note that only fixed-width continuous binning scheme is currently supported."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Necessary import evil\n",
    "from physt import h1\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Histogram1D('People height', bins=(0,), total=0, dtype=int64)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an empty histogram\n",
    "h = h1(None, \"fixed_width\", bin_width=10, name=\"People height\", axis_name=\"cm\", adaptive=True)\n",
    "h"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding single values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Histogram1D('People height', bins=(1,), total=1, dtype=int64)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add a first value\n",
    "h.fill(157)\n",
    "h.plot()\n",
    "h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='cm'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add a second value\n",
    "h.fill(173)\n",
    "h.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add a few more values, including weights\n",
    "h.fill(173, 2)\n",
    "h.fill(186, 5)\n",
    "h.fill(188, 3)\n",
    "h.fill(193, 1)\n",
    "h.plot(errors=True, show_stats=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding multiple values at once"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ha = h1(None, \"fixed_width\", bin_width=10, adaptive=True)\n",
    "ha.plot(show_stats=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Beginning\n",
    "ha.fill_n([10, 11, 34])\n",
    "ha.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add a distant value\n",
    "ha.fill_n([234], weights=[10])\n",
    "ha.plot(show_stats=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's create a huge dataset\n",
    "values = np.random.normal(130, 20, 100000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 15.6 ms\n",
      "Wall time: 15.2 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Add lots of values (no loop in Python)\n",
    "hn = h1(None, \"fixed_width\", bin_width=10, adaptive=True)\n",
    "hn.fill_n(values)\n",
    "# ha.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: total: 3.91 s\n",
      "Wall time: 4.01 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Comparison with Python loop\n",
    "hp = h1(None, \"fixed_width\", bin_width=10, adaptive=True)\n",
    "for value in values:\n",
    "    hp.fill(value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Equal? True\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Hopefully equal results\n",
    "print(\"Equal?\", hp == hn)\n",
    "hp.plot(show_stats=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding two adaptive histograms together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ha1 = h1(None, \"fixed_width\", bin_width=5, adaptive=True)\n",
    "ha1.fill_n(np.random.normal(100, 10, 1000))\n",
    "\n",
    "ha2 = h1(None, \"fixed_width\", bin_width=5, adaptive=True)\n",
    "ha2.fill_n(np.random.normal(70, 10, 500))\n",
    "\n",
    "ha = ha1 + ha2\n",
    "\n",
    "fig, ax= plt.subplots()\n",
    "\n",
    "ha1.plot(alpha=0.1, ax=ax, label=\"1\", color=\"red\")\n",
    "ha2.plot(alpha=0.1, ax=ax, label=\"2\")\n",
    "\n",
    "ha.plot(\"scatter\", label=\"sum\", ax=ax, errors=True)\n",
    "\n",
    "ax.legend(loc=2);   # TODO? Why don't we show the sum???"
   ]
  }
 ],
 "metadata": {
  "kernel_info": {
   "name": "python3"
  },
  "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",
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