cecepm/python otpauth generate qrcode.ipynb

## python otpauth generate qrcode.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import qrcode\n",
    "import matplotlib.pyplot as plt\n",
    "from otpauth import OtpAuth\n",
    "\n",
    "\n",
    "auth = OtpAuth('abcdefghijklmnopqrstuvwxyz')  # a secret string\n",
    "s = auth.to_uri('totp', 'cecep@example.com', 'My Personal OTP')\n",
    "img = qrcode.make(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x10a7a7950>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oUUq9CSDVhDV7q4MIIZHgkkO4BsA0Efk6gBIAnxORpwF8KCLDlVItInIegEMJ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\nBgRCSMD/B2Rz+ahx7au7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a627650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img)"
   ]
  },
  {
   "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": 1,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	"%matplotlib inline"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 2,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	"import qrcode\n",
	"import matplotlib.pyplot as plt\n",
	"from otpauth import OtpAuth\n",
	"\n",
	"\n",
	"auth = OtpAuth('abcdefghijklmnopqrstuvwxyz') # a secret string\n",
	"s = auth.to_uri('totp', 'cecep@example.com', 'My Personal OTP')\n",
	"img = qrcode.make(s)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 3,
	"metadata": {
	"collapsed": false
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<matplotlib.image.AxesImage at 0x10a7a7950>"
	]
	},
	"execution_count": 3,
	"metadata": {},
	"output_type": "execute_result"
	},
	{
	"data": {
	"image/png": 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oUUq9CSDVhDV7q4MIIZHgkkO4BsA0Efk6gBIAnxORpwF8KCLDlVItInIegEMJ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\nBgRCSMD/B2Rz+ahx7au7AAAAAElFTkSuQmCC\n",
	"text/plain": [
	"<matplotlib.figure.Figure at 0x10a627650>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"plt.imshow(img)"
	]
	},
	{
	"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
	}