{"id":2347,"date":"2023-07-22T16:05:32","date_gmt":"2023-07-22T16:05:32","guid":{"rendered":"https:\/\/statorials.org\/ja\/python%e3%83%8f%e3%82%9a%e3%83%ac%e3%83%bc%e3%83%88%e5%9b%b3\/"},"modified":"2023-07-22T16:05:32","modified_gmt":"2023-07-22T16:05:32","slug":"python%e3%83%8f%e3%82%9a%e3%83%ac%e3%83%bc%e3%83%88%e5%9b%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/python%e3%83%8f%e3%82%9a%e3%83%ac%e3%83%bc%e3%83%88%e5%9b%b3\/","title":{"rendered":"Python \u3067\u30d1\u30ec\u30fc\u30c8\u56f3\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)"},"content":{"rendered":"

<\/p>\n

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\u30d1\u30ec\u30fc\u30c8\u56f3\u306f\u3001<\/strong>\u30ab\u30c6\u30b4\u30ea\u306e\u9806\u5e8f\u4ed8\u3051\u3055\u308c\u305f\u5ea6\u6570\u3068\u30ab\u30c6\u30b4\u30ea\u306e\u7d2f\u7a4d\u5ea6\u6570\u3092\u8868\u793a\u3059\u308b\u30b0\u30e9\u30d5\u306e\u4e00\u7a2e\u3067\u3059\u3002<\/span> <\/p>\n

\"Python<\/p>\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u30d1\u30ec\u30fc\u30c8\u56f3\u3092\u4f5c\u6210\u3059\u308b\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n

350 \u4eba\u306e\u7570\u306a\u308b\u4eba\u3005\u306b\u3001\u30d6\u30e9\u30f3\u30c9 A\u3001B\u3001C\u3001D\u3001E \u306e\u4e2d\u304b\u3089\u304a\u6c17\u306b\u5165\u308a\u306e\u30b7\u30ea\u30a2\u30eb \u30d6\u30e9\u30f3\u30c9\u3092\u7279\u5b9a\u3059\u308b\u3088\u3046\u4f9d\u983c\u3059\u308b\u30a2\u30f3\u30b1\u30fc\u30c8\u3092\u5b9f\u65bd\u3059\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u8abf\u67fb\u7d50\u679c\u3092\u4fdd\u6301\u3059\u308b\u305f\u3081\u306b\u3001\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' count<\/span> ': [97, 140, 58, 6, 17, 32]})\ndf. index<\/span> = ['B', 'A', 'C', 'F', 'E', 'D']\n\n#sort DataFrame by count descending\n<\/span>df = df. sort_values<\/span> (by=' count<\/span> ', ascending= False<\/span> )\n\n#add column to display cumulative percentage\n<\/span>df[' cumperc<\/span> '] = df[' count<\/span> ']. cumsum<\/span> ()\/df[' count<\/span> ']. sum<\/span> ()*100\n\n#view DataFrame\n<\/span>df\n\n\tcount cumperc\nAt 140 40.000000\nB 97 67.714286\nC 58 84.285714\nD 32 93.428571\nE 17 98.285714\nF 6 100.000000<\/strong><\/pre>\n
\u30b9\u30c6\u30c3\u30d7 2: \u30d1\u30ec\u30fc\u30c8\u56f3\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30d1\u30ec\u30fc\u30c8\u56f3\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> matplotlib. ticker<\/span> import<\/span> PercentFormatter\n\n#define aesthetics for plot\n<\/span>color1 = ' steelblue<\/span> '\ncolor2 = ' red<\/span> '\nline_size = 4\n\n#create basic bar plot\n<\/span>fig, ax = plt. subplots<\/span> ()\nax. bar<\/span> (df. index<\/span> , df[' count<\/span> '], color=color1)\n\n#add cumulative percentage line to plot\n<\/span>ax2 = ax. twinx<\/span> ()\nax2. plot<\/span> ( df.index<\/span> , df[' cumperc<\/span> '], color=color2, marker=\" D<\/span> \", ms=line_size)\nax2. yaxis<\/span> . set_major_formatter<\/span> (PercentFormatter())\n\n#specify axis colors\n<\/span>ax. tick_params<\/span> (axis=' y<\/span> ', colors=color1)\nax2. tick_params<\/span> (axis=' y<\/span> ', colors=color2)<\/span>\n\n#display Pareto chart\nplt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"Python<\/p>\n
 X \u8ef8\u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30d6\u30e9\u30f3\u30c9\u304c\u983b\u5ea6\u306e\u9ad8\u3044\u9806\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n
\u5de6\u5074\u306e Y \u8ef8\u306f\u5404\u30d6\u30e9\u30f3\u30c9\u306e\u983b\u5ea6\u3092\u793a\u3057\u3001\u53f3\u5074\u306e Y \u8ef8\u306f\u30d6\u30e9\u30f3\u30c9\u306e\u7d2f\u7a4d\u983b\u5ea6\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n
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