{"id":1662,"date":"2019-06-03T22:20:13","date_gmt":"2019-06-03T13:20:13","guid":{"rendered":"https:\/\/tnishimaki.com\/?p=1662"},"modified":"2025-06-12T19:40:05","modified_gmt":"2025-06-12T10:40:05","slug":"python%e3%81%a7%e3%83%87%e3%83%bc%e3%82%bf%e3%81%ae%e4%bb%a3%e8%a1%a8%e5%80%a4%ef%bc%88%e5%b9%b3%e5%9d%87%e5%80%a4%e3%80%81%e4%b8%ad%e5%a4%ae%e5%80%a4%e3%81%aa%e3%81%a9%ef%bc%89%e3%82%92%e8%a8%88","status":"publish","type":"post","link":"https:\/\/analysis-navi.com\/?p=1662","title":{"rendered":"Python\u306b\u3088\u308b\u30c7\u30fc\u30bf\u306e\u4ee3\u8868\u5024\uff08\u5e73\u5747\u5024\u3001\u4e2d\u592e\u5024\u306a\u3069\uff09\u306e\u8a08\u7b97"},"content":{"rendered":"\n

Python\u3067\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307f\u3001\u5217\u3054\u3068\u306b\u5e73\u5747\u5024\u3084\u4e2d\u592e\u5024\u306a\u3069\u306e\u300c\u30c7\u30fc\u30bf\u306e\u4ee3\u8868\u5024\u300d<\/strong>\u3092\u8a08\u7b97\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

\u30c7\u30fc\u30bf\u5206\u6790\u306e\u521d\u3081\u306e\u4e00\u6b69\u306f\u3001\u4f55\u306f\u3068\u3082\u3042\u308c\u5e73\u5747\u5024\u3001\u4e2d\u592e\u5024\u306a\u3069\u306e\u300c\u4ee3\u8868\u5024\u300d\u3092\u6c42\u3081\u308b\u3053\u3068\u3067\u3059\u3002
Excel\u3067\u3082\u8a08\u7b97\u306f\u53ef\u80fd\u3067\u3059\u304c\u3001\u30d5\u30a1\u30a4\u30eb\u30b5\u30a4\u30ba\u304c\u5de8\u5927\u306a\u5834\u5408\u3084\u3001\u5f8c\u3005\u306b\u3082\u3063\u3068\u8907\u96d1\u306a\u8a08\u7b97\u3092\u3057\u305f\u304f\u306a\u3063\u3066\u304d\u305f\u5834\u5408\u306a\u3069\u306fExcel\u3067\u306f\u624b\u306b\u8ca0\u3048\u307e\u305b\u3093\u3002<\/span><\/strong><\/p>\n\n\n\n

\u305d\u3053\u307e\u3067\u96e3\u3057\u304f\u306a\u3044\u4e0a\u306b\u3001\u6163\u308c\u308c\u3070Excel\u3088\u308a\u3082\u7c21\u7d20\u3067\u9ad8\u901f\u306b\u8a08\u7b97\u3067\u304d\u307e\u3059\u306e\u3067\u3001\u662f\u975e\u591a\u304f\u306e\u5b66\u751f\u3084\u793e\u4f1a\u4eba\u306e\u7686\u69d8\u306b\u899a\u3048\u3066\u9802\u308c\u3070\u306a\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u30c7\u30fc\u30bf\u306e\u8aad\u307f\u8fbc\u307f<\/h2>\n\n\n\n

\u307e\u305a\u306f\u96c6\u8a08\u3057\u305f\u3044csv\u3092\u6e96\u5099\u3057\u307e\u3059\u3002
\u4eca\u56de\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u300c\u90fd\u9053\u5e9c\u770c\u5225\u306e17\u6b73\u6642\u70b9\u306b\u304a\u3051\u308b\u8eab\u9577\u30fb\u4f53\u91cd\u30c7\u30fc\u30bf\u300d<\/strong>\u3092\u5b9f\u9a13\u30c7\u30fc\u30bf\u3068\u3057\u3066\u8aad\u307f\u8fbc\u3093\u3067\u307f\u307e\u3057\u3087\u3046\u3002
\"\"
\u203b\u53c2\u7167\u5143\uff1ae-Stat\u300c\u5b66\u6821\u4fdd\u5065\u7d71\u8a08\u8abf\u67fb\u300d<\/a><\/p>\n\n\n\n

\u4f55\u306f\u3068\u3082\u3042\u308c\u3001\u307e\u305a\u306fPython\u306b\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u307e\u305b\u307e\u3059\u3002<\/p>\n\n\n\n

import pandas as pd\ndf = pd.read_csv(\"data.csv\",index_col=0)<\/pre>\n\n\n\n
\u300cindex_col=0\u300d\u3068\u3044\u3046\u306e\u306f\u3001\u300c\u3059\u3067\u306b\u884c\u540d(\u4eca\u56de\u306e\u5834\u5408\u306f\u770c\u540d)\u306f\u4ed8\u3044\u3066\u307e\u3059\u306e\u3067\u3001\u884c\u540d\u306f\u4ed8\u3051\u306a\u3044\u3067\u826f\u3044\u3067\u3059\u3088\u300d<\/strong>\u3068\u3044\u3046\u610f\u5473\u306e\u5f15\u6570\u3067\u3059\u3002<\/p>\n\n\n\n
\u3053\u306e\u6642\u3001\u6587\u5b57\u30b3\u30fc\u30c9\u304c\u304a\u304b\u3057\u3044\u3068\u6b63\u3057\u304f\u8aad\u307f\u8fbc\u307e\u308c\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u306e\u3067\u3001\u3054\u6ce8\u610f\u304f\u3060\u3055\u3044\u3002
\u3082\u3057\u3053\u306e\u6642\u70b9\u3067\u30a8\u30e9\u30fc\u304c\u51fa\u305f\u3089\u3001csv\u306e\u6587\u5b57\u30b3\u30fc\u30c9\u3092\u300cutf-8\u300d\u306b\u5909\u3048\u3066\u304a\u304f\u306e\u304c\u4e00\u756a\u3066\u3063\u3068\u308a\u65e9\u3044\u304b\u306a\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u8272\u3005\u306a\u4ee3\u8868\u5024\u3092\u4e00\u6c17\u306b\u6c42\u3081\u308b<\/h2>\n\n\n\n
\u3055\u3066\u3001\u305d\u308c\u3067\u306f\u30c7\u30fc\u30bf\u306e\u4ee3\u8868\u5024\u3092\u8272\u3005\u3068\u6c42\u3081\u3066\u307f\u307e\u3057\u3087\u3046\u3002
\u5b9f\u306f\u3001python\u306enumpy\u30d1\u30c3\u30b1\u30fc\u30b8\u306b\u306f\u3001\u300cdecsribe\u300d\u3068\u3044\u3046\u30c7\u30fc\u30bf\u306e\u5e73\u5747\u5024\u3001\u4e2d\u592e\u5024\u306a\u3069\u3092\u4e00\u6c17\u306b\u6c42\u3081\u3089\u308c\u308b\u4fbf\u5229\u95a2\u6570<\/span><\/strong>\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u65e9\u901f\u9069\u7528\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
print(df.describe())\n<\/pre>\n\n\n\n
\u5b9f\u884c\u3057\u3066\u307f\u308b\u3068\u3002\u3002\u3002<\/p>\n\n\n\n
           \u8eab\u9577(\u7537\u5b50)     \u4f53\u91cd(\u7537\u5b50)      \u8eab\u9577(\u5973\u5b50)     \u4f53\u91cd(\u5973\u5b50)\ncount   47.000000  47.000000   47.000000  47.000000\nmean   170.514894  62.885106  157.574468  53.127660\nstd      0.586062   0.999560    0.588465   0.611378\nmin    168.700000  60.800000  155.900000  51.700000\n25%    170.300000  62.150000  157.250000  52.900000\n50%    170.400000  62.800000  157.600000  53.100000\n75%    170.900000  63.600000  158.000000  53.450000\nmax    172.100000  65.200000  158.700000  54.600000<\/pre>\n\n\n\n
\u4e00\u6c17\u306b\u8272\u3005\u51fa\u3066\u304d\u307e\u3057\u305f\u306d\u3002
\u4e0a\u304b\u3089\u3001\u300c\u30c7\u30fc\u30bf\u6570\u300d\u300c\u5e73\u5747\u300d\u300c\u6a19\u6e96\u504f\u5dee\u300d\u300c\u6700\u5c0f\u5024\u300d\u300c\u7b2c1\u56db\u5206\u4f4d\u6570\u300d\u300c\u4e2d\u592e\u5024\u300d\u300c\u7b2c3\u56db\u5206\u4f4d\u300d\u300c\u6700\u5927\u5024\u300d\u3068\u306a\u308a\u307e\u3059\u3002
\u6709\u52b9\u6570\u5b57\u304c\u591a\u3059\u304e\u3066\u898b\u3065\u3089\u3044\u5834\u5408\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u304a\u5c3b\u306b\u300c.round(\u6709\u52b9\u6841\u6570)\u300d\u3092\u4ed8\u3051\u308b\u3068\u3001\u6709\u52b9\u6570\u5b57\u306e\u6841\u6570\u3092\u5909\u3048\u3089\u308c\u307e\u3059\u3002<\/span><\/strong><\/p>\n\n\n\n
\u4f8b\u3048\u3070\u5c0f\u6570\u70b9\u4ee5\u4e0b2\u6841\u306b\u3057\u305f\u3051\u308c\u3070\u3001<\/p>\n\n\n\n
print(df.describe().round(2))<\/pre>\n\n\n\n
\u3068\u3059\u308c\u3070\u3001<\/p>\n\n\n\n
       \u8eab\u9577(\u7537\u5b50)  \u4f53\u91cd(\u7537\u5b50)  \u8eab\u9577(\u5973\u5b50)  \u4f53\u91cd(\u5973\u5b50)\ncount   47.00   47.00   47.00   47.00\nmean   170.51   62.89  157.57   53.13\nstd      0.59    1.00    0.59    0.61\nmin    168.70   60.80  155.90   51.70\n25%    170.30   62.15  157.25   52.90\n50%    170.40   62.80  157.60   53.10\n75%    170.90   63.60  158.00   53.45\nmax    172.10   65.20  158.70   54.60<\/pre>\n\n\n\n
\u3053\u308c\u3067\u898b\u3084\u3059\u304f\u306a\u308a\u307e\u3057\u305f\u306d\u3002<\/p>\n\n\n\n
\u77e5\u308a\u305f\u3044\u6240\u3060\u3051\u6c42\u3081\u308b<\/h2>\n\n\n\n
\u300c\u305d\u3093\u306a\u5168\u90e8\u3044\u3089\u306a\u3044\u304b\u3089\u3001\u77e5\u308a\u305f\u3044\u3084\u3064\u3060\u3051\u77e5\u308a\u305f\u3044\u300d<\/span><\/strong>\u3068\u3044\u3046\u5834\u5408\u3082\u3042\u308a\u307e\u3059\u3002
\u307e\u305f\u3001describe\u306e\u4e2d\u306b\u306f\u306a\u3044\u4ee3\u8868\u5024(\u5408\u8a08\u5024\u3001\u6700\u983b\u5024\u306a\u3069)\u3092\u6c42\u3081\u305f\u3044<\/span><\/strong>\u5834\u5408\u3082\u3042\u308a\u307e\u3059\u3002
\u305d\u3046\u3044\u3046\u5834\u5408\u306e\u305f\u3081\u306b\u3001\u4ee3\u8868\u5024\u5225\u306b\u500b\u5225\u306e\u30e1\u30bd\u30c3\u30c9\u304c\u7528\u610f\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u4f8b\u3048\u3070\u3001\u300c\u5e73\u5747\u5024\u300d\u3060\u3051\u6b32\u3057\u3044\u5834\u5408\u306f\u4ee5\u4e0b\u3002<\/p>\n\n\n\n
print(df.mean())<\/pre>\n\n\n\n
\u8eab\u9577(\u7537\u5b50)    8014.2\n\u4f53\u91cd(\u7537\u5b50)    2955.6\n\u8eab\u9577(\u5973\u5b50)    7406.0\n\u4f53\u91cd(\u5973\u5b50)    2497.0\ndtype: float64<\/pre>\n\n\n\n
\u6709\u52b9\u6570\u5b57\u3092\u5909\u66f4\u3057\u305f\u3051\u308c\u3070\u3001\u5148\u7a0b\u3068\u540c\u3058\u304f\u304a\u5c3b\u306b\u300c.round(\u6709\u52b9\u6570\u5b57)\u300d\u3092\u4ed8\u3051\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
\u307e\u305f\u3001\u300c\u5e73\u5747\u5024\u300d\u3067\u3082\u3001\u300c\u7537\u5b50\u306e\u8eab\u9577\u300d\u3060\u3051\u3067\u826f\u3044\u3068\u3044\u3046\u5834\u5408\u306f\u4ee5\u4e0b\u3067OK\u3067\u3059\u3002<\/p>\n\n\n\n
print(df.mean()[\"\u8eab\u9577(\u7537\u5b50)\"])<\/pre>\n\n\n\n
170.51489361702127<\/pre>\n\n\n\n
\u3053\u3061\u3089\u3082\u300c.round(\u6709\u52b9\u6570\u5b57)\u300d\u304c\u4f7f\u3048\u307e\u3059\u3002
\u305d\u308c\u3067\u306f\u3001\u5e73\u5747\u5024\u4ee5\u5916\u306e\u95a2\u6570\u3082\u8272\u3005\u7528\u610f\u3055\u308c\u3066\u3057\u307e\u3044\u307e\u3059\u306e\u3067\u3001\u6574\u7406\u3057\u3066\u304a\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u306e\u4ee3\u8868\u5024\u3092\u6c42\u3081\u308b\u95a2\u6570\u4e00\u89a7<\/h2>\n\n\n\n
\u4e0a\u8a18\u306e\u4f8b\u306b\u304a\u3051\u308b\u300cmean()\u300d\u306e\u90e8\u5206\u3092\u4ee5\u4e0b\u306b\u5909\u3048\u308b\u3060\u3051\u3067OK<\/span><\/strong>\u3067\u3059\u3002<\/p>\n\n\n\n
describe\u306b\u5b58\u5728\u3059\u308b\u3082\u306e<\/h3>\n\n\n\n
\u30c7\u30fc\u30bf\u6570<\/th>count()<\/td><\/tr>
\u5e73\u5747\u5024<\/th>mean()<\/td><\/tr>
\u6a19\u6e96\u504f\u5dee<\/a><\/th>std()<\/td><\/tr>
\u6700\u5c0f\u5024<\/th>min()<\/td><\/tr>
\u7b2c1\u56db\u5206\u4f4d(25%\u70b9)<\/th>quantile(0.25)<\/td><\/tr>
\u4e2d\u592e\u5024(50%\u70b9)<\/th>median()<\/td><\/tr>
\u7b2c3\u56db\u5206\u4f4d(75%\u70b9)<\/th>quantile(0.75)<\/td><\/tr>
\u6700\u5927\u5024<\/th>max()<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u7b2c1\u56db\u5206\u4f4d\u3001\u7b2c3\u56db\u5206\u4f4d\u306e\u66f8\u304d\u65b9\u3092\u898b\u308c\u3070\u5206\u304b\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001\u30ab\u30c3\u30b3\u306e\u4e2d\u306e\u6570\u5b57\u3092\u5909\u3048\u308c\u3070\u300c\u5c0f\u3055\u3044\u65b9\u304b\u3089\u301c%\u306e\u70b9\u300d\u306e\u5024\u306f\u3069\u3053\u3067\u3082\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/strong><\/p>\n\n\n\n
describe\u306b\u5b58\u5728\u3057\u306a\u3044\u3082\u306e<\/h3>\n\n\n\n
describe\u30e1\u30bd\u30c3\u30c9\u3067\u306f\u8a08\u7b97\u3055\u308c\u306a\u3044\u4ee3\u8868\u5024\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u6c42\u3081\u307e\u3059\u3002<\/p>\n\n\n\n
\u5408\u8a08\u5024<\/th>sum()<\/td><\/tr>
\u5206\u6563\u5024<\/a><\/th>var()<\/td><\/tr>
\u6700\u983b\u5024<\/th>mode()<\/td><\/tr>
\u6b6a\u5ea6<\/th>skew()<\/td><\/tr>
\u5c16\u5ea6<\/th>kurt()<\/td><\/tr>
\u6700\u5927\u5024\u3092\u53d6\u308b\u9805\u76ee\u540d<\/th>idxmax()<\/td><\/tr>
\u6700\u5c0f\u5024\u3092\u53d6\u308b\u9805\u76ee\u540d<\/th>idxmin()<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u6b6a\u5ea6\u3068\u5c16\u5ea6\u306f\u4f7f\u3046\u5834\u9762\u306f\u9650\u3089\u308c\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001\u30c7\u30fc\u30bf\u306e\u4ee3\u8868\u5024\u3068\u3057\u3066\u306f\u4ee3\u8868\u7684\u306a\u3082\u306e\u306a\u306e\u3067\u63b2\u8f09\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
\u3042\u3068\u300cidxmax\u300d\u300cidxmin\u300d\u306f\u4fbf\u5229\u3067\u3059\u3002\u4f8b\u3048\u3070\u3001\u300cidxmin\u300d\u3092\u5148\u7a0b\u306e\u30c7\u30fc\u30bf\u306b\u9069\u7528\u3057\u3066\u307f\u308b\u3068\u30fb\u30fb\u30fb<\/p>\n\n\n\n
\u8eab\u9577(\u7537\u5b50)    \u6c96\u7e04\n\u4f53\u91cd(\u7537\u5b50)    \u9759\u5ca1\n\u8eab\u9577(\u5973\u5b50)    \u6c96\u7e04\n\u4f53\u91cd(\u5973\u5b50)    \u6c96\u7e04\ndtype: object<\/pre>\n\n\n\n
\u306a\u308b\u307b\u3069\u3002\u3002\u3002\u306a\u3093\u3068\u306a\u304f\u8003\u3048\u3055\u305b\u3089\u308c\u308b\u7d50\u679c\u3067\u3059\u3002<\/p>\n\n\n\n
\u307e\u3068\u3081<\/h2>\n\n\n\n
\u3053\u308c\u3060\u3051\u62bc\u3055\u3048\u3066\u304a\u3051\u3070\u3001\u3056\u3063\u304f\u308a\u3068\u3057\u305f\u30c7\u30fc\u30bf\u306e\u96c6\u8a08\u306f\u3044\u3064\u3067\u3082\u51fa\u6765\u307e\u3059\u3002
\u7121\u8ad6\u3001\u4e0a\u8a18\u306e\u95a2\u6570\u3092\u3059\u3079\u3066\u8a18\u61b6\u3057\u3066\u304a\u304f\u5fc5\u8981\u306f\u306a\u304f\u3001\u3053\u306e\u30da\u30fc\u30b8\u306a\u3069\u3092\u53c2\u7167\u3057\u306a\u304c\u3089\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u66f8\u3051\u3070OK<\/span><\/strong>\u3067\u3059\u3002<\/p>\n\n\n\n
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\n\t\t\t\t\t\t\t<\/a>\t\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\tPython\u306b\u3088\u308b\u3042\u305f\u3089\u3057\u3044\u30c7\u30fc\u30bf\u5206\u6790\u306e\u6559\u79d1\u66f8 [ \u5bfa\u7530 \u5b66 ]<\/a>\t\t\t\t\t\t\t<\/div>\n\t\t\t
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created by Rinker<\/a><\/div>\n\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\u00a52,728<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t(2026\/04\/21 15:11:57\u6642\u70b9 \u697d\u5929\u5e02\u5834\u8abf\u3079-<\/span>\u8a73\u7d30)<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t