mi2428/hist.ipynb

## hist.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "x = np.random.randn(5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  2.,   2.,   3.,   8.,  17.,  19.,  30.,  51., 127., 156., 210.,\n",
       "        273., 344., 367., 483., 511., 437., 420., 386., 336., 259., 209.,\n",
       "        128.,  92.,  55.,  40.,  11.,  11.,   7.,   6.]),\n",
       " array([-3.70461849, -3.4696088 , -3.23459912, -2.99958944, -2.76457976,\n",
       "        -2.52957008, -2.2945604 , -2.05955072, -1.82454104, -1.58953136,\n",
       "        -1.35452168, -1.119512  , -0.88450232, -0.64949264, -0.41448295,\n",
       "        -0.17947327,  0.05553641,  0.29054609,  0.52555577,  0.76056545,\n",
       "         0.99557513,  1.23058481,  1.46559449,  1.70060417,  1.93561385,\n",
       "         2.17062353,  2.40563321,  2.6406429 ,  2.87565258,  3.11066226,\n",
       "         3.34567194]),\n",
       " <BarContainer object of 30 artists>)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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OV/FnO468xcYQJbmBuWL/clV9fdR5BlFVP0nyJHOvbYy83MfqtExVPVdVa6tqsqommfsH9JujKvZ+kmzu2bwPeHFUWQbRfYDKXwD3VdX/jjrPKuctNoYkczO7LwAnqupzo86zmCQTl646S/IW4P2MSQ+MVbmvQvuTPJ/kWeZOJY3tJVudvwPeDhzpLt/8h1EHWkiSP0gyA/w28ESSb4w6U6/uhelLt9g4ARwa8BYbI5Hkq8B3gHcmmUny4KgzLeJO4CPAXd336dNJPjjqUAtYB3yr64DvMXfO/fERZwK8/YAkNcmZuyQ1yHKXpAZZ7pLUIMtdkhpkuUtSgyx3SWqQ5S5JDfp/o4MQ/owbic0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(x, bins=30, rwidth=0.9, cumulative=False, density=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0.00170206, 0.00170206, 0.00255309, 0.00680823, 0.01446749,\n",
       "        0.01616955, 0.02553086, 0.04340247, 0.10808065, 0.13276049,\n",
       "        0.17871604, 0.23233085, 0.2927539 , 0.31232756, 0.4110469 ,\n",
       "        0.4348757 , 0.37189957, 0.35743208, 0.32849711, 0.28594567,\n",
       "        0.22041645, 0.17786501, 0.10893168, 0.07829465, 0.04680658,\n",
       "        0.03404115, 0.00936132, 0.00936132, 0.0059572 , 0.00510617]),\n",
       " array([-3.70461849, -3.4696088 , -3.23459912, -2.99958944, -2.76457976,\n",
       "        -2.52957008, -2.2945604 , -2.05955072, -1.82454104, -1.58953136,\n",
       "        -1.35452168, -1.119512  , -0.88450232, -0.64949264, -0.41448295,\n",
       "        -0.17947327,  0.05553641,  0.29054609,  0.52555577,  0.76056545,\n",
       "         0.99557513,  1.23058481,  1.46559449,  1.70060417,  1.93561385,\n",
       "         2.17062353,  2.40563321,  2.6406429 ,  2.87565258,  3.11066226,\n",
       "         3.34567194]),\n",
       " <BarContainer object of 30 artists>)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.hist(x, bins=30, rwidth=0.9, cumulative=False, density=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0.29781022, 0.42043796, 0.35036496, 0.42481752, 0.49489051,\n",
       "        0.46423358, 0.46861314, 0.46423358, 0.45109489, 0.57810219,\n",
       "        0.60437956, 0.6350365 , 0.55620438, 0.7270073 , 0.60875912,\n",
       "        0.60875912, 0.4729927 , 0.52992701, 0.63065693, 0.55182482,\n",
       "        0.55182482, 0.48175182, 0.54744526, 0.44233577, 0.4729927 ,\n",
       "        0.46861314, 0.46861314, 0.41605839, 0.42481752, 0.38540146]),\n",
       " array([-1.        , -0.93333333, -0.86666667, -0.8       , -0.73333333,\n",
       "        -0.66666667, -0.6       , -0.53333333, -0.46666667, -0.4       ,\n",
       "        -0.33333333, -0.26666667, -0.2       , -0.13333333, -0.06666667,\n",
       "         0.        ,  0.06666667,  0.13333333,  0.2       ,  0.26666667,\n",
       "         0.33333333,  0.4       ,  0.46666667,  0.53333333,  0.6       ,\n",
       "         0.66666667,  0.73333333,  0.8       ,  0.86666667,  0.93333333,\n",
       "         1.        ]),\n",
       " <BarContainer object of 30 artists>)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.hist(x, bins=30, range=(-1,1), rwidth=0.8, linewidth=0.8, cumulative=False, density=True)"
   ]
  }
 ],
 "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": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}