{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Statistics in physt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Necessary import evil\n",
    "%matplotlib inline\n",
    "import physt\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "np.random.seed(42)   # Repeatable results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.random.normal(150, 25, 1000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "h = physt.h1(data)\n",
    "h.plot(show_stats=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "h = physt.h1(data, weights=data)\n",
    "h.plot(show_stats=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "h = physt.h1(data, range=(120, 140))\n",
    "h.plot(show_stats=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sum': 30131858.028689485, 'sum2': 3955251423.8946447}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h._stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}