expon.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## scipy.stats.expon\n",
    "### Экспоненциальное распределение "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1dde255750>]"
      ]
     },
     "execution_count": 2,
     "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": [
    "import numpy as np\n",
    "from scipy.stats import expon\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "mean, var, skew, kurt = expon.stats(moments='mvsk')\n",
    "# функция плотности вероятности\n",
    "x = np.linspace(expon.ppf(0.01),\n",
    "                expon.ppf(0.99), 100)\n",
    "ax.plot(x, expon.pdf(x),\n",
    "       'r-', lw=5, alpha=0.6, label='expon pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Генерация рандомных значение \n",
    "\n",
    "### rvs(loc=0, scale=1, size=1, random_state=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0.09164779, 0.09164779, 0.01309254, 0.02618508, 0.        ,\n",
       "        0.01309254, 0.01309254, 0.        , 0.        , 0.01309254]),\n",
       " array([ 0.25601249,  4.07498087,  7.89394925, 11.71291762, 15.531886  ,\n",
       "        19.35085437, 23.16982275, 26.98879113, 30.8077595 , 34.62672788,\n",
       "        38.44569626]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 10,
     "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": [
    "a = expon.rvs(scale = 8, size = 20)\n",
    "plt.hist(a, density= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0.11039935, 0.07049597, 0.02793237, 0.01995169, 0.01862158,\n",
       "        0.00798068, 0.00532045, 0.00266023, 0.00133011, 0.00133011]),\n",
       " array([2.58663713e-02, 3.78494632e+00, 7.54402627e+00, 1.13031062e+01,\n",
       "        1.50621862e+01, 1.88212661e+01, 2.25803461e+01, 2.63394260e+01,\n",
       "        3.00985060e+01, 3.38575859e+01, 3.76166659e+01]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 12,
     "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": [
    "a2 = expon.rvs(scale = 8, size = 200)\n",
    "plt.hist(a2, density= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([2.39536395, 0.        , 0.        , 0.        , 1.19768197,\n",
       "        0.        , 0.        , 0.        , 1.19768197, 1.19768197]),\n",
       " array([0.11931907, 0.28630831, 0.45329754, 0.62028678, 0.78727602,\n",
       "        0.95426526, 1.1212545 , 1.28824373, 1.45523297, 1.62222221,\n",
       "        1.78921145]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 14,
     "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": [
    "a3 = expon.rvs(scale = 2, size = 5)\n",
    "plt.hist(a3, density= True)"
   ]
  },
  {
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}