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@AvverbioPronome
Last active October 26, 2018 18:34
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# From:\n",
"# This Chinese Restaurant Has The Wildest Chicken Wing Pricing, Mathematicians Are Baffled - 9GAG\n",
"# https://m.9gag.com/gag/aD1wOr7?ref=fbp\n",
"\n",
"import numpy as np, matplotlib.pyplot as plt, pandas as pd\n",
"df = pd.read_table('Wings.tsv')\n",
"df['Price per wing'] = df['Price']/df['Wings']\n",
"wings, price, ppw = df.values.transpose()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.rc('figure', figsize=(12,8))\n",
"plt.plot(wings, price/wings, marker='.', linestyle=\"-\", linewidth=.2)\n",
"plt.xlabel('# Wings')\n",
"plt.ylabel('Price per wing')\n",
"plt.grid(axis='y')\n",
"plt.semilogx()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Minimum price per wing is 1.112.\n",
"So, either get 25 wings for 27.8, or 50 wings for 55.6, or 125 wings for 139.0.\n"
]
}
],
"source": [
"cheapest = df[(df['Price per wing'] == df['Price per wing'].min())]\n",
"chicken_oracle = \", or \".join([\"{} wings for {}\".format(int(w), p) for w, p, _ in cheapest.values])\n",
"print (\"Minimum price per wing is {}.\".format(cheapest['Price per wing'].max()))\n",
"print (\"So, either get {}.\".format(chicken_oracle))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"per_wing_price_difference = (ppw[1:] - ppw[:-1])/(wings[1:] - wings[:-1])\n",
"\n",
"plt.plot(wings[1:], per_wing_price_difference, marker='.', linestyle=\"-\", linewidth=.2)\n",
"plt.grid(axis='y')\n",
"plt.semilogx()\n",
"# This is eerily similar to the price per wing derivative... It's indeed its difference quotient\n",
"# Is this plot useful? No one will ever know."
]
}
],
"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",
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},
"nbformat": 4,
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}
Wings Price
4 4.55
5 5.70
6 6.80
7 7.95
8 9.10
9 10.20
10 11.35
11 12.50
12 13.60
13 14.75
14 15.90
15 17.00
16 18.15
17 19.30
18 20.40
19 21.55
20 22.70
21 23.80
22 24.95
23 26.10
24 27.25
25 27.80
26 28.95
27 30.10
28 31.20
29 32.35
30 33.50
35 39.15
40 44.80
45 50.50
50 55.60
60 67.00
70 78.30
75 83.45
80 89.10
90 100.45
100 111.25
125 139.00
150 166.85
200 222.50
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