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資産のランダム分配(日本語化)
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{
"cells": [
{
"metadata": {
"toc": "true"
},
"cell_type": "markdown",
"source": "# Table of Contents\n <p><div class=\"lev1 toc-item\"><a href=\"#資産のランダム分配\" data-toc-modified-id=\"資産のランダム分配-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>資産のランダム分配</a></div><div class=\"lev2 toc-item\"><a href=\"#パッケージの読み込み\" data-toc-modified-id=\"パッケージの読み込み-11\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>パッケージの読み込み</a></div><div class=\"lev2 toc-item\"><a href=\"#パラメーター付きの函数の定義の仕方\" data-toc-modified-id=\"パラメーター付きの函数の定義の仕方-12\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>パラメーター付きの函数の定義の仕方</a></div><div class=\"lev2 toc-item\"><a href=\"#パラメーター付きの税函数-taxfunc-達の定義\" data-toc-modified-id=\"パラメーター付きの税函数-taxfunc-達の定義-13\"><span class=\"toc-item-num\">1.3&nbsp;&nbsp;</span>パラメーター付きの税函数 taxfunc 達の定義</a></div><div class=\"lev2 toc-item\"><a href=\"#常の一定の資産を徴収する場合\" data-toc-modified-id=\"常の一定の資産を徴収する場合-14\"><span class=\"toc-item-num\">1.4&nbsp;&nbsp;</span>常の一定の資産を徴収する場合</a></div><div class=\"lev2 toc-item\"><a href=\"#常に保有資産の一定の割合を徴収する場合\" data-toc-modified-id=\"常に保有資産の一定の割合を徴収する場合-15\"><span class=\"toc-item-num\">1.5&nbsp;&nbsp;</span>常に保有資産の一定の割合を徴収する場合</a></div><div class=\"lev2 toc-item\"><a href=\"#累進税方式で徴収する場合\" data-toc-modified-id=\"累進税方式で徴収する場合-16\"><span class=\"toc-item-num\">1.6&nbsp;&nbsp;</span>累進税方式で徴収する場合</a></div>"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# 資産のランダム分配\n\n黒木玄\n\n2018-01-11\n\n* Copyright 2018 Gen Kuroki\n* License: <a href=\"https://opensource.org/licenses/mit-license.php\">MIT</a> (<a href=\"https://ja.osdn.net/projects/opensource/wiki/licenses%2FMIT_license\">日本語訳</a>)"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## パッケージの読み込み"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "using PyPlot\nusing Distributions\nusing QuickTypes\n\nconst 抽象浮動小数点型 = AbstractFloat\nconst もしもまたはそれ以外 = ifelse\nconst ゼロ = zero\nconst 長さ = length\nconst 乱数 = rand\nconst 平均 = mean\nconst ガンマ分布 = Gamma\nconst 指数分布 = Exponential\n\nrc(\"font\", family=\"IPAPGothic\")\n\nfunction 資産分配してからプロット!(asset, taxfunc, Dist; 回数=10^7, bins=floor(Int,sqrt(endof(asset)/2)))\n figure(figsize=(8,3))\n\n subplot(121)\n plt[:hist](asset, normed=true, bins=bins, label=\"資産分布\",\n range=(0, max(2.0, maximum(asset))))\n grid(ls=\":\")\n legend()\n title(\"分配前\")\n\n @time 資産をランダムに分配!(asset, taxfunc, 回数)\n @show fitdist = fit(Dist, asset)\n sleep(0.1)\n\n subplot(122)\n h = plt[:hist](asset, normed=true, bins=bins, label=\"資産分布\")\n x = linspace(0.0, max(2.0, maximum(asset)), 201)\n #Dist_str = replace(\"$Dist\", \"Distributions.\", \"\")\n #plot(x, pdf.(fitdist, x), label=\"$Dist_str dist\")\n plot(x, pdf.(fitdist, x), label=\"指数分布\")\n grid(ls=\":\")\n legend()\n title(\"分配後\")\n\n tight_layout() \nend",
"execution_count": 1,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 1,
"data": {
"text/plain": "資産分配してからプロット! (generic function with 1 method)"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "@qmutable 常に同額を徴収(; 税額 = 0.02)\nfunction (徴収::常に同額を徴収)(保有資産)\n もしもまたはそれ以外(保有資産 ≥ 徴収.税額, 徴収.税額, ゼロ(徴収.税額))\nend\n\nfunction 資産をランダムに分配!(資産, 徴収額, 回数)\n 人数 = 長さ(資産)\n for iter in 1:回数\n 徴収先, 分配先 = 乱数(1:人数), 乱数(1:人数)\n 額 = 徴収額(資産[徴収先])\n 資産[徴収先] -= 額\n 資産[分配先] += 額\n end\nend\n\n人数 = 2^11\n資産 = 乱数(ガンマ分布(5.0, 0.2), 人数)\n\n回数 = 10^7\n税額 = 平均(資産)/50\n徴収額 = 常に同額を徴収(税額=税額)\n資産分配してからプロット!(資産, 徴収額, 指数分布, 回数=回数)",
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": " 6.407469 seconds (90.00 M allocations: 1.341 GiB, 0.88% gc time)\nfitdist = fit(Dist, asset) = Distributions.Exponential{Float64}(θ=1.0001673746817912)\n",
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"text/plain": "PyPlot.Figure(PyObject <matplotlib.figure.Figure object at 0x000000002B549208>)",
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"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"_draft": {
"nbviewer_url": "https://gist.github.com/56667440681ffd5cf741ca322428f3ce"
},
"gist": {
"id": "56667440681ffd5cf741ca322428f3ce",
"data": {
"description": "資産のランダム分配(日本語化)",
"public": true
}
},
"kernelspec": {
"name": "julia-0.6",
"display_name": "Julia 0.6.2",
"language": "julia"
},
"language_info": {
"file_extension": ".jl",
"name": "julia",
"mimetype": "application/julia",
"version": "0.6.2"
},
"toc": {
"threshold": 4,
"number_sections": true,
"toc_cell": true,
"toc_window_display": false,
"toc_section_display": "block",
"sideBar": true,
"navigate_menu": true,
"moveMenuLeft": true,
"widenNotebook": false,
"colors": {
"hover_highlight": "#DAA520",
"selected_highlight": "#FFD700",
"running_highlight": "#FF0000",
"wrapper_background": "#FFFFFF",
"sidebar_border": "#EEEEEE",
"navigate_text": "#333333",
"navigate_num": "#000000"
},
"nav_menu": {
"height": "159px",
"width": "252px"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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