master-thesis/Evaluation/Evaluation.ipynb

608 lines
468 KiB
Plaintext
Raw Normal View History

2020-01-27 19:07:36 +01:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Survey Evaluation"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
"jq -s . results/*.json > all_results.json"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams['figure.figsize'] = (15,15)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"with open(\"all_results.json\",\"rb\") as f:\n",
" results = json.load(f)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# extract questions\n",
"o = results[0][list(results[0].keys())[0]]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"questions = list(o.keys())"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"bin_questions = []\n",
"range_questions = []\n",
"\n",
"for q in questions:\n",
" if len(o[q]) == 1:\n",
" range_questions.append(q)\n",
" else:\n",
" bin_questions.append(q)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Is this a valid recipe?', 'Does it seem eatable?']"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin_questions"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Are the instructions understandable? (0: totally confusing, 3: very clear)',\n",
" 'How tasty is it probably? (0: not at all, 3: very tasty)',\n",
" 'Would you cook it? (0: not at all, 3: immediately!)',\n",
" 'How creative is this recipe? (0: not at all, 3: very creative!)',\n",
" 'Is this a good combination of ingredients? (0: not at all, 3: very good!)',\n",
" 'Are the used cooking actions suitable for the ingredients? (0: not at all, 3: totally!)']"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"range_questions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## answers for each recipe:"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"recipes = {}\n",
"for res in results:\n",
" for r in res:\n",
" if r in recipes:\n",
" recipes[r] += 1\n",
" else:\n",
" recipes[r] = 1\n",
"sorted_recipe_names = sorted(recipes.keys())\n",
"sorted_values = [recipes[r] for r in sorted_recipe_names]"
]
},
{
"cell_type": "code",
2020-01-27 19:21:12 +01:00
"execution_count": 107,
2020-01-27 19:07:36 +01:00
"metadata": {},
"outputs": [
{
"data": {
2020-01-27 19:21:12 +01:00
"image/png": "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
2020-01-27 19:07:36 +01:00
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.rcParams['figure.figsize'] = (15,5)\n",
"plt.rcParams.update({'font.size': 22})\n",
"plt.bar(x = sorted_recipe_names, height=sorted_values)\n",
"plt.xticks(rotation=90)\n",
2020-01-27 19:21:12 +01:00
"plt.title(\"number of submitted results per recipe\")\n",
2020-01-27 19:07:36 +01:00
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"def get_bin_answer(q):\n",
" yes = {}\n",
" no = {}\n",
" \n",
" for r in sorted_recipe_names:\n",
" yes[r] = 0\n",
" no[r] = 0\n",
" \n",
" for res in results:\n",
" for r in res:\n",
" if res[r][q] == \"Yes\":\n",
" yes[r] += 1\n",
" else:\n",
" no[r] += 1\n",
" \n",
" return sorted_recipe_names, [yes[r] for r in sorted_recipe_names], [no[r] for r in sorted_recipe_names]\n"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"def get_range_answer(q, ranges=4):\n",
" answers = {}\n",
" \n",
" for r in sorted_recipe_names:\n",
" answers[r] = [0] * ranges\n",
" \n",
" for res in results:\n",
" for r in res:\n",
" answers[r][int(res[r][q])] += 1\n",
" \n",
" l = []\n",
" for i in range(ranges):\n",
" l.append([answers[r][i] for r in sorted_recipe_names])\n",
" \n",
" return sorted_recipe_names, l"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for q in bin_questions:\n",
" answer = get_bin_answer(q)\n",
" \n",
" x = np.arange(len(sorted_recipe_names)) \n",
"\n",
" width = 0.35 # the width of the bars\n",
"\n",
" plt.rcParams['figure.figsize'] = (15,5)\n",
" plt.rcParams.update({'font.size': 22})\n",
" plt.bar(x = x-width/2, height=answer[1], width=width, label=\"Yes\", color='g')\n",
" plt.bar(x = x+width/2, height=answer[2], width=width, label=\"No\", color='r')\n",
" plt.xticks(x, labels=sorted_recipe_names, rotation=90)\n",
" plt.title(q)\n",
" plt.legend()\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for q in range_questions:\n",
" answer = get_range_answer(q)\n",
" \n",
" x = np.arange(len(sorted_recipe_names)) \n",
"\n",
" width = 0.2 # the width of the bars\n",
"\n",
" plt.rcParams['figure.figsize'] = (15,5)\n",
" plt.rcParams.update({'font.size': 22})\n",
" plt.bar(x = x-1.5*width, height=answer[1][3], width=width, label=\"3\", color='g')\n",
" plt.bar(x = x-width/2, height=answer[1][2], width=width, label=\"2\", color='y')\n",
" plt.bar(x = x+width/2, height=answer[1][1], width=width, label=\"1\", color = 'orange')\n",
" plt.bar(x = x+1.5*width, height=answer[1][0], width=width, label=\"0\", color='r')\n",
" plt.xticks(x, labels=sorted_recipe_names, rotation=90)\n",
" plt.title(q)\n",
" plt.legend()\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## answers for each group:"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [],
"source": [
"def get_bin_group_answer(answers):\n",
" yes = {}\n",
" no = {}\n",
" \n",
" for r in sorted_recipe_names:\n",
" grp = r.split('_')[0]\n",
" if grp not in yes:\n",
" yes[grp] = 0\n",
" no[grp] = 0\n",
" \n",
" for res in results:\n",
" for r in res:\n",
" grp = r.split('_')[0]\n",
" if res[r][q] == \"Yes\":\n",
" yes[grp] += 1\n",
" else:\n",
" no[grp] += 1\n",
" \n",
" keys= list(yes.keys())\n",
" \n",
" return keys, [yes[r] for r in keys], [no[r] for r in keys]"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [],
"source": [
"def get_range_group_answer(q, ranges=4):\n",
" answers = {}\n",
" \n",
" for r in sorted_recipe_names:\n",
" grp = r.split('_')[0]\n",
" if grp not in answers:\n",
" answers[grp] = [0] * ranges\n",
" \n",
" for res in results:\n",
" for r in res:\n",
" grp = r.split('_')[0]\n",
" answers[grp][int(res[r][q])] += 1\n",
" \n",
" \n",
" keys= list(answers.keys())\n",
" l = []\n",
" for i in range(ranges):\n",
" l.append([answers[r][i] for r in keys])\n",
" \n",
" \n",
" \n",
" return keys, l"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for q in bin_questions:\n",
" answer = get_bin_group_answer(q)\n",
" \n",
" x = np.arange(len(answer[0])) \n",
"\n",
" width = 0.35 # the width of the bars\n",
"\n",
" plt.rcParams['figure.figsize'] = (15,5)\n",
" plt.rcParams.update({'font.size': 22})\n",
" plt.bar(x = x-width/2, height=answer[1], width=width, label=\"Yes\", color='g')\n",
" plt.bar(x = x+width/2, height=answer[2], width=width, label=\"No\", color='r')\n",
" plt.xticks(x, labels=answer[0], rotation=0)\n",
" plt.title(q)\n",
" plt.legend()\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAABFIAAAFTCAYAAAAa3igIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3Xm8HEW5//Hvk4QAWSBkgSAQgoIgixgIyp5gxA1RELz6Q5ADKMh28aqsCkSQ7YLeqwgoggRFBFlkccdAFkG4BBAhKHsiAcIWIAkJkOX5/VHVTGfO9EzPck6fM+fzfr3mNUtXd1d3V1d3P1Ndbe4uAAAAAAAA1Nav6AwAAAAAAAD0FgRSAAAAAAAAciKQAgAAAAAAkBOBFAAAAAAAgJwIpAAAAAAAAOREIAUAAAAAACCnhgMpZnaVmXl83djKTPU0ZjYtLueUovPSl6XKW0fReelOZtaRLHuD4/fJ9dbdzGxyXM9zis5LX9FT1rmZTYn5mNbENAo/zpjZQDM7wczuN7NFqbrjf4vKUyu0Yvt0NTMbm1rfE4vOT29Rbds2e+xsB2a2kZl928xmmNnLZrbMzF40s1vM7MMtmscHzGylmc01s4FV0m1jZpfHdG+a2fNm9lsz+1Qr8oHeqVbd19XHxriPHG1mV5jZLDN7JpbPN8zssVjH7NYV8253PWDbTqx1DWRmn4jDZ5mZ1TuPhgIpZjZE0j6pn/Yys+GNTKtIXGACqMXM5sR6YnLReUF+XJg25CpJ50kaJ2lIwXmpiX0TvV1Xnoea2YGSnpB0pqTdJI2QNEDSKEl7S5pqZie3YFbnSzJJZ7v72xl5OVjSLEmHShojaXVJoyXtJelWM7u4Bfno0XrSMakn5aUH+IykH0nqkLS9pA0VyucgSZtJOljSDDP7qZn176pMdGfgtyf8cdNTuPsfJP2fwrb/f/WO32iLlP0lDU59HyjpCw1OCwAAFMjM3ivpc/HrxZLeLWlofJ1QVL4ANGxThfPzP0v6D0kbKQQxDpY0P6Y528w+1OgMzOzjkj4i6d+SrshIs4uky2JeHpb0MUnrKly43BSTHWlm1DMowlJJv5d0vEJZfp+kkZK2kHSApL/HdF+WdFYRGUSX+058P9vMVq9nxEYDKV+K709J+mfZbwB6EHe3+JpSdF7ambtPjut5bNF56StY5y21berzt9z9aXdfHF8V/2VG67j7nFRdPa3o/LQDd5+SrNOi81KQpyV9xN0/5u7Xufs8d3/G3X+u8Ido4uAm5vHt+H5JlXri+wotYV6QNNHd/+zuL7n7/ZI+K+m2mO5UMxvVRF6Aurn75e6+l7tf4O5T3f1f7v6Kuz/q7r+StKOkB2LyY81sUIHZRRdw998rtN7bWNJB9YxbdyDFzDaSNCF+/UV8SdKHzGyzeqcHAAAK987Jobu/VmRGADTP3a9096kZw+6U9Gr8+u5Gpm9mW0raRZJLujojzXhJH4xf/9vdXynLh0s6KX4dojovYoCu5u5vKdz2KoXj5PsKzA66TlKHHV7PSI20SDkoNd5V8ZXcz1W1VUp5p2BmtpOZ/Sp27LPMzP5eYZw1zexrZjbdzF4ys7fNbL6Z3WRmn2wg/+/cG5b66YrUvYI17xk0s93i/Oeb2Vtm9rSZXWhm6+WY97vM7Fwz+7uZvRY7NHoqdsC1ZSPLE6ebq9PFWvfFmdnOFjoSfsrMlprZEgsdg/0t5nuHKtNex0KnZveY2Stx3cyL23inHMuwtZn90kIHZG/G+98vMbONa41bDzPb28yujcu11MwWmNk/4v2PHzGr3NmQhY7SLjOzJ+N4C+N2PMvMRuaY7ygzO9vMHozjLo3T+qmZbdXkMp2UKrvfTy+DVbkHu7w8NFq2LTg0lpOF8TXLzI41s/7WfIe5a1joEOqSuK0WWqnTvL+Y2VesSid3qen0N7MDzexmM3s2LuNLFjrX/F8z2zGVdkrMb1L+TrfO9URHKn3NfdDM+pnZQWb2x5j3t+P7H83si1llL467yjzN7GAz+6uZvRr30wctdBRarbO/kWZ2Ztw2r8d1+IKZPWxmP4/rZkCt9VhhuoPjvO+K+9MyCx0b/tPMrovbZ3DZOE3XWVnTiN+fTv10R4VtNzaVviXlKzW93VP70Ztm9oSZXWBN9iUW97P9zOw3qfK7wMxmmtlRZrZaA9NMyvmU1G/p9TSnwjhDzexkC3X9q3EZ/22h/t6lyrzSHb+NtXDMOCuWv6Rz2w/Ukedc+2aF8d9v4Tg3z0rHqSlm9p4c827qOFdlurU65VulPxgz+7SZ/dlC/fWmmT0a1+VaNeazmpl9w8wesNCZYlJ+DorDM/dLK6vHLXTS+AMLHTIuicOGlY3TVJk1s0FmdpqZzbZwzHwpLvfeNVZp7j4HzOy9Fo5zj8RyuCSuzx+a2Zgq4zW8TayB81Az+6SZ3WjhnPktM1ts4Vxtupmdbma5L/As9HWYBE9fqZa2iiPi+0x3/3dGmvR2+nWlBLFlypPx66cbzEtVFeqewbFcPRz3g9fiNtk/x7Tqrv+szmNSzmXa2sxOifl+wcIxa6GFY9j3LPzx3aPz0ossS31+s5UTjuXRlbo1rsL2mJMx7t6xbn0u1gkvx21QsW61WL+r1CDi4Arzmlw2Trdv21h3upn9Kkfa38W09zc521/G9x0sx3nIO9y9rpfCrTwu6a7Ub7fH356WZFXGnRLTTZN0pKTl8Xvy+ntZ+vdLmlOWpvz1M0n961yGaTWm6QrND8vTT5H0X5JWZIwzV9IGVeb7BUlLqsxzuaSv1LtN4rQnx2nMybnsUyoM+2aO9fLbjOnuoXAwrjbuGVXytZ+ktzPGWyBph9T3jgbX0XCFJqS1lnFYxrrJ2u5JHnevMu89JL1WY9t/LWPcjiRdhWGm0Gw2mc4pFdJkrrdWlG1Jqync55y1bLdJ+krWMuTcdv+TY7v9rdK2S01jY4XmmdWm8VqF+qraqyOVfrKq7IOShkmaXmN6UyWtlTF+kuYwSddVmcafJPWrMP6WCk2ray3TyDq3zfqSHssx3fFdUGdVnIZqHzdc0thWlS+temw7Qtn70bOSNq93OePwdWL5qJbHeyWtW+f2m1JjmuXrdhtJ82qMc74qnAtImphKM0mhX4XycT/QgjyX75vp7fN5hRPhSuMskLRNlfk2dZyrsUxjU9OYWGH4nDhsco3y+ndJQzLmsZaku6uMO0VV9kuljkUKzd0XVJjGsFT6psqspPUkPVJl3DPT27Zafqus928oXCRlzeMNSZ/KGLfhbaL6z0MvzJH+R3WUt7NS4+3XYJl9No5/UpU0v41p5tWYVvKn7MIa67pTucyZ14llZbdaufp2lek0VP+pzmNSjuXZNsf0Fkras8q6LDwvcfyxlcp8hX1lSiPbvtmXQuOB5NztVUmr11iGuvJZNm7Wa07ZOKsrBCarjfOgpHeVjTc5x7wmF71tJZ0Yf1+q6uf166sUSzi2xn7fkWNbPBnTnpV7+9W5sT+YytCRqd8PSf0+ocr4U2Ka+QoHrr9K+qhCp1NjJH0ylXaMSicscxWa2rxH4cC8lcKTBZKV9906l2NNhSaESZ6PiN/Tr/6p9MmGfkrSSkm/UWjOOELSJpLOiL+7pKsz5vmpVJq/Kjz1aAOFi/tdVLoQXSnpow3s6MnOMadGuqxC+97U+vyLQmdgY+IybqPwL8EVkn5ZYZrbqXRi+pCkLypctK4Th12eWtdfrjD+lpLeisOfV2jZ9K74OjiWl6fq2RkqzGOgpHtS0/ilwg62nkIP9h+SdIqkx1W20yr04pyM93BcF+sqdNx2pEonkwslvbvCvDeTtDimeSWOMyZOY+84zWT6n6swfkcyvOz3AQq31nncdp3WbUyXud7UmrJ9fmoet0raKY6/paQL4vhJ5eSVppFj+52pcNA4QNJ4hV7V143l6zupbfCrjPHXSZWh5ZIuUjiZGhnLwO6Svitpdmqc1RXqgrlxvLPVuZ4YkGcfVAh4/Sm1ni5TeDLK8Pie3keygpXJ8CfjMpwraeu4bNtKujGV5vAK48+Mw16U9FVJm8f5vycu/7c
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for q in range_questions:\n",
" answer = get_range_group_answer(q)\n",
" \n",
" x = np.arange(len(answer[0])) \n",
"\n",
" width = 0.2 # the width of the bars\n",
"\n",
" plt.rcParams['figure.figsize'] = (15,5)\n",
" plt.rcParams.update({'font.size': 22})\n",
" plt.bar(x = x-1.5*width, height=answer[1][3], width=width, label=\"3\", color='g')\n",
" plt.bar(x = x-width/2, height=answer[1][2], width=width, label=\"2\", color='y')\n",
" plt.bar(x = x+width/2, height=answer[1][1], width=width, label=\"1\", color='orange')\n",
" plt.bar(x = x+1.5*width, height=answer[1][0], width=width, label=\"0\", color='r')\n",
" plt.xticks(x, labels=answer[0], rotation=0)\n",
" plt.title(q)\n",
" plt.legend()\n",
" plt.show()"
]
},
{
"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": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}