maxberggren/uni_dist.ipynb

## uni_dist.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10c874a90>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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T6QfjyfS0eDK9fbgV5jiyBw4F7gcws2ecc5M6LNsHeNPM6gGcc08CRwCHAPd1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\nwl5EJAL+P8s/UNk/thXsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106816050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "%matplotlib inline  \n",
    "\n",
    "sampled = np.random.choice(range(10), 1000, p=[1/10.0]*10)\n",
    "sns.distplot(sampled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 2,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<matplotlib.axes._subplots.AxesSubplot at 0x10c874a90>"
	]
	},
	"execution_count": 2,
	"metadata": {},
	"output_type": "execute_result"
	},
	{
	"data": {
	"image/png": 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T6QfjyfS0eDK9fbgV5jiyBw4F7gcws2ecc5M6LNsHeNPM6gGcc08CRwCHAPd1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\nwl5EJAL+P8s/UNk/thXsAAAAAElFTkSuQmCC\n",
	"text/plain": [
	"<matplotlib.figure.Figure at 0x106816050>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"import numpy as np\n",
	"import seaborn as sns\n",
	"%matplotlib inline \n",
	"\n",
	"sampled = np.random.choice(range(10), 1000, p=[1/10.0]*10)\n",
	"sns.distplot(sampled)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 2",
	"language": "python",
	"name": "python2"
	},
	"language_info": {
	"codemirror_mode": {
	"name": "ipython",
	"version": 2
	},
	"file_extension": ".py",
	"mimetype": "text/x-python",
	"name": "python",
	"nbconvert_exporter": "python",
	"pygments_lexer": "ipython2",
	"version": "2.7.10"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 0
	}