![\"\"](\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2021\/12\/bootcamp_ad_72ppi-1024x341.png\")
<\/a><\/figure>\n\n\n\n<\/p>\n\n\n\n
\u76ee\u6b21 <\/p>\n
- <\/span>
- \u30c7\u30fc\u30bf\u5206\u6790\u3068\u306f<\/a> <\/li>
- \u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u9806\uff08PPDAC\uff09<\/a> <\/li>
- \u2460\u554f\u984c\u306e\u628a\u63e1\uff08Problem\uff09<\/a> <\/li>
- \u2461\u8abf\u67fb\u306e\u8a08\u753b\uff08Plan\uff09<\/a> <\/li>
- \u2462\u30c7\u30fc\u30bf\u306e\u53ce\u96c6\uff08Data\uff09<\/a> <\/li>
- \u2463\u30c7\u30fc\u30bf\u306e\u5206\u6790\uff08Analysis\uff09<\/a> <\/li>
- \u2464\u7d50\u8ad6\u3092\u8003\u3048\u308b\uff08Conclusion\uff09<\/a> <\/li>
- CRISP-DM\u3068\u306f<\/a> <\/li>
- CRISP-DM\u306e6\u3064\u306e\u30d7\u30ed\u30bb\u30b9<\/a> <\/li>
- \u30d3\u30b8\u30cd\u30b9\u8ab2\u984c\u306e\u7406\u89e3<\/a> <\/li>
- \u30c7\u30fc\u30bf\u306e\u7406\u89e3<\/a> <\/li>
- \u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/a> <\/li>
- \u30e2\u30c7\u30eb\u4f5c\u6210<\/a> <\/li>
- \u8a55\u4fa1<\/a> <\/li>
- \u5c55\u958b\u30fb\u5171\u6709<\/a> <\/li>
- Pandas\u3068\u306f<\/a> <\/li>
- \u306a\u305cPandas\u3092\u5b66\u3076\u306e\u304b<\/a> <\/li>
- Pandas\u3092\u4f7f\u3046\u30e1\u30ea\u30c3\u30c8<\/a> <\/li>
- Pandas\u3092\u4f7f\u3046<\/a> <\/li>
- \u30c7\u30fc\u30bf\u578b(pandas\u306e\u57fa\u672c\u30c7\u30fc\u30bf\u578b)<\/a> <\/li>
- \u30b7\u30ea\u30fc\u30ba<\/a> <\/li>
- \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0<\/a> <\/li> <\/ul> <\/li>
- head()\u3068tail()<\/a>
- \u69d8\u3005\u306a\u57fa\u672c\u7d71\u8a08\u91cf<\/a> <\/li>
- \u5e73\u5747\u5024<\/a> <\/li>
- \u6700\u5c0f\u5024<\/a> <\/li>
- \u6700\u5927\u5024<\/a> <\/li>
- \u7bc4\u56f2\uff08\u30ec\u30f3\u30b8\uff09<\/a> <\/li>
- \u4e2d\u592e\u5024<\/a> <\/li>
- \u57fa\u672c\u7d71\u8a08\u91cf\u3092\u7b97\u51fa\u3057\u305f\u5f8c\u306e\u89e3\u91c8<\/a> <\/li>
- \u5e73\u65b9\u548c<\/a> <\/li>
- \u5206\u6563<\/a> <\/li>
- \u6a19\u6e96\u504f\u5dee<\/a> <\/li> <\/ul> <\/li>
- Pandas\u3067\u6b20\u640d\u5024\u3092\u51e6\u7406\u3057\u3066\u307f\u3088\u3046\uff01<\/a>
- \u6b20\u640d\u5024\u306e\u51e6\u7406<\/a> <\/li> <\/ul> <\/li>
- \u76f8\u95a2\u5206\u6790\u3057\u3066\u307f\u3088\u3046\uff01<\/a>
- \u76f8\u95a2\u5206\u6790\u3068\u306f<\/a> <\/li>
- \u76f8\u95a2\u3068\u76f8\u95a2\u4fc2\u6570\u3068\u306f<\/a> <\/li> <\/ul> <\/li>
- Python\u3067\u76f8\u95a2\u4fc2\u6570\u3092\u7b97\u51fa\u3057\u3066\u307f\u3088\u3046<\/a>
- \u76f8\u95a2\u5206\u6790\u3092\u3059\u308b\u4e0a\u3067\u306e\u6ce8\u610f\u70b9<\/a> <\/li>
- \u304a\u308f\u308a\u306b<\/a> <\/li> <\/ul> <\/li>
- Python\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3092\u52b9\u7387\u3088\u304f\u5b66\u3076\u306b\u306f\uff1f<\/a>
- \u304a\u3059\u3059\u3081\u8a18\u4e8b<\/a> <\/li> <\/ul> <\/li><\/ul>\n \n <\/div><\/div>
<\/p>\n<\/div>
\u30c7\u30fc\u30bf\u5206\u6790\u3068\u306f<\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u5206\u6790\u3068\u306f\u300c\u30c7\u30fc\u30bf\u300d\u3092\u7528\u3044\u3066\u300c\u554f\u984c\u300d\u3092\u89e3\u6c7a\u3059\u308b\u3053\u3068<\/strong>\u3067\u3059\u3002<\/p>\n\n\n\n
\u30d3\u30b8\u30cd\u30b9\u73fe\u5834\u306b\u304a\u3044\u3066\u306f\u3001\u610f\u601d\u6c7a\u5b9a\u306e\u305f\u3081\u306b\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3044\u307e\u3059\u3002\u672c\u6765\u30c7\u30fc\u30bf\u5206\u6790\u3068\u3044\u3046\u8a00\u8449\u306e\u610f\u5473\u5408\u3044\u306f\u5e83\u3044\u610f\u5473\u5408\u3044\u3092\u6301\u3061\u307e\u3059\u304c\u3001\u300c\u30c7\u30fc\u30bf\u300d\u304b\u3089\u300c\u554f\u984c\u300d\u3092\u89e3\u660e\u3059\u308b\u3068\u3044\u3046\u30d7\u30ed\u30bb\u30b9\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u554f\u984c\u3092\u660e\u78ba\u306b\u3057\u3066\u304b\u3089\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3046\u4e8b\u304c\u5927\u4e8b\u3067\u3059\u3002<\/p>\n\n\n\n
\u95c7\u96f2\u306b\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3063\u3066\u3082\u3001\u66d6\u6627\u306a\u7d50\u679c\u306b\u3057\u304b\u306a\u308a\u307e\u305b\u3093\u3002\u52a0\u3048\u30d3\u30b8\u30cd\u30b9\u306b\u304a\u3044\u3066\u306f\u3001\u8ab0\u306e\u610f\u601d\u6c7a\u5b9a\u306e\u305f\u3081\u306b\u3082\u5229\u7528\u3055\u308c\u306a\u3044\uff08\u73fe\u5834\u3067\u4f7f\u308f\u308c\u306a\u3044\uff09\u30c7\u30fc\u30bf\u5206\u6790\u306f\u610f\u5473\u304c\u3042\u308a\u307e\u305b\u3093\u3002
\u6b21\u306e\u7bc0\u3067\u306f\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u9806\u3068\u3057\u3066PPDAC\u30b5\u30a4\u30af\u30eb\u3092\u7d39\u4ecb\u81f4\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u9806\uff08PPDAC\uff09<\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u5206\u6790\u3092\u3053\u308c\u304b\u3089\u884c\u3046\u4e0a\u3067\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u9806\u3092\u7406\u89e3\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u5206\u6790\u306f\u4ee5\u4e0b\u306e\uff15\u3064\u306e\u624b\u9806\u3067\u9032\u3081\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u2460\u554f\u984c\u306e\u628a\u63e1\uff08Problem\uff09<\/p>\n\n\n\n
\u2461\u8abf\u67fb\u306e\u8a08\u753b\uff08Plan\uff09<\/p>\n\n\n\n
\u2462\u30c7\u30fc\u30bf\u306e\u53ce\u96c6\uff08Data\uff09<\/p>\n\n\n\n
\u2463\u30c7\u30fc\u30bf\u306e\u5206\u6790\uff08Analysis\uff09<\/p>\n\n\n\n
\u2464\u7d50\u8ad6\u3092\u8003\u3048\u308b\uff08Conclusion\uff09<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u3053\u308c\u306f\u300cPPDAC\u30b5\u30a4\u30af\u30eb\u300d\u3068\u547c\u3070\u308c\u308b\u554f\u984c\u89e3\u6c7a\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3059\u3002<\/p>\n\n\n\n
\u3053\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u30c7\u30fc\u30bf\u5206\u6790\u306b\u5f53\u3066\u306f\u3081\u308b\u3068\u3001\u5404\u6bb5\u968e\u3092Problem\uff08\u554f\u984c\u306e\u628a\u63e1\uff09\u3001Plan\uff08\u8abf\u67fb\u306e\u8a08\u753b\uff09\u3001Data\uff08\u30c7\u30fc\u30bf\u306e\u53ce\u96c6\uff09\u3001Analysis\uff08\u30c7\u30fc\u30bf\u306e\u5206\u6790\uff09\u3001Conclusion\uff08\u7d50\u8ad6\uff09\u306b\u5206\u3051\u3066\u8003\u3048\u308b\u4e8b\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
\u2460\u554f\u984c\u306e\u628a\u63e1\uff08Problem\uff09<\/h2>\n\n\n\n
\u307e\u305a\u306f\u554f\u984c\u3092\u628a\u63e1\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u300c\u4f55\u304c\u554f\u984c\u3067\u3001\u306a\u305c\u30c7\u30fc\u30bf\u5206\u6790\u3092\u3059\u308b\u306e\u304b\u300d\u3092\u660e\u78ba\u306b\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306e2\u70b9\u3092\u30c1\u30a7\u30c3\u30af\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
1. \u554f\u984c\u3092\u660e\u78ba\u306b\u3059\u308b<\/p>\n\n\n\n
2. \u4eee\u8aac\u3092\u7acb\u3066\u308b<\/p>\n\n\n\n
\u2461\u8abf\u67fb\u306e\u8a08\u753b\uff08Plan\uff09<\/h2>\n\n\n\n
\u8ab2\u984c\u8a2d\u5b9a\u306e\u6b21\u306f\u3001\u305d\u308c\u306b\u3064\u3044\u3066\u8abf\u67fb\u30fb\u5206\u6790\u3092\u884c\u3046\u8a08\u753b\u3092\u7acb\u3066\u307e\u3059\u3002\u3069\u3093\u306a\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u3067\u3001\u3069\u3093\u306a\u65b9\u6cd5\u3067\u96c6\u3081\u308c\u3070\u826f\u3044\u304b\u3092\u8003\u3048\u307e\u3059\u3002\u4ee5\u4e0b\u306e2\u70b9\u3092\u30c1\u30a7\u30c3\u30af\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
1. \u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u3092\u60f3\u5b9a\u3059\u308b<\/p>\n\n\n\n
2. \u30c7\u30fc\u30bf\u53ce\u96c6\u8a08\u753b\u3092\u7acb\u3066\u308b<\/p>\n\n\n\n
\u2462\u30c7\u30fc\u30bf\u306e\u53ce\u96c6\uff08Data\uff09<\/h2>\n\n\n\n
\u6b21\u306b\u5206\u6790\u3067\u4f7f\u3046\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u307e\u3059\u3002\u30c7\u30fc\u30bf\u306b\u3082\u81ea\u793e\u5185\u306e\u30c7\u30fc\u30bf\uff08\u5185\u90e8\u30c7\u30fc\u30bf\uff09\u3068\u81ea\u793e\u4ee5\u5916\u306e\u30c7\u30fc\u30bf\uff08\u5916\u90e8\u30c7\u30fc\u30bf\uff09\u306b\u5206\u3051\u3089\u308c\u307e\u3059\u3002\u81ea\u793e\u5185\u306e\u30c7\u30fc\u30bf\u3067\u3042\u308c\u3070\u3001\u62c5\u5f53\u90e8\u7f72\u3001\u62c5\u5f53\u8005\u304b\u3089\u5fc5\u8981\u306a\u30c7\u30fc\u30bf\u3092\u3082\u3089\u3063\u305f\u308a\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u30c7\u30fc\u30bf\u3092SQL\u7b49\u3067\u53d6\u5f97\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u81ea\u793e\u5916\u306e\u30c7\u30fc\u30bf\u3067\u3042\u308c\u3070\u3001\u30cd\u30c3\u30c8\u3067\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u30aa\u30fc\u30d7\u30f3\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3057\u305f\u308a\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066Web\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u7b49\u3067\u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306e2\u70b9\u3092\u30c1\u30a7\u30c3\u30af\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
1. \u30c7\u30fc\u30bf\u3092\u53ce\u96c6\u3059\u308b<\/p>\n\n\n\n
2. \u30c7\u30fc\u30bf\u306b\u4e0d\u8db3\u304c\u306a\u3044\u304b\u78ba\u8a8d\u3059\u308b<\/p>\n\n\n\n
\u2463\u30c7\u30fc\u30bf\u306e\u5206\u6790\uff08Analysis\uff09<\/h2>\n\n\n\n
\u3053\u3053\u3067\u3084\u3063\u3068\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3044\u307e\u3059\u3002\u30c7\u30fc\u30bf\u5206\u6790\u306b\u306f\u3001\u30c7\u30fc\u30bf\u3092\u8981\u7d04\u3057\u305f\u308a\u3001\u30c7\u30fc\u30bf\u306e\u50be\u5411\u3092\u78ba\u8a8d\u3057\u3001\u6b21\u306e\u30a2\u30af\u30b7\u30e7\u30f3\u306b\u7e4b\u304c\u308b\u3088\u3046\u306b\u3059\u308b\u4e8b\u304c\u5927\u5207\u3067\u3059\u3002<\/p>\n\n\n\n
\u2464\u7d50\u8ad6\u3092\u8003\u3048\u308b\uff08Conclusion\uff09<\/h2>\n\n\n\n
\u6700\u5f8c\u306b\u3001\u5206\u6790\u3057\u305f\u7d50\u679c\u304b\u3089\u7d50\u8ad6\u3092\u5c0e\u304d\u3060\u3057\u307e\u3059\u3002\u305d\u306e\u5f8c\u3001\u5206\u6790\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210\u3057\u3001\u5206\u6790\u3057\u305f\u7d50\u679c\u304b\u3089\u4fa1\u5024\u3042\u308b\u65bd\u7b56\u306b\u7e4b\u304c\u308b\u30a2\u30af\u30b7\u30e7\u30f3\u3092\u63d0\u6848\u3057\u307e\u3059\u3002\u4eba\u304c\u5b9f\u884c\u3067\u304d\u308b\u7d50\u8ad6\u3092\u8003\u3048\u308b\u4e8b\u304c\u5927\u5207\u3067\u3059\u3002<\/p>\n\n\n\n
\u305f\u3060\u3001\uff11\u56de\u306ePPDDAC\u30b5\u30a4\u30af\u30eb\u3067\u554f\u984c\u304c\u89e3\u6c7a\u3059\u308b\u3068\u306f\u9650\u3089\u306a\u3044\u305f\u3081\u3001\u4f55\u5ea6\u3082\u3053\u306ePPDAC\u30b5\u30a4\u30af\u30eb\u3092\u884c\u3044\u554f\u984c\u3092\u89e3\u6c7a\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
PPDAC\u30b5\u30a4\u30af\u30eb\u3092\u901a\u3058\u3066\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u9806\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3057\u305f\u304c\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u3088\u304f\u7528\u3044\u3089\u308c\u308b\u30c7\u30fc\u30bf\u5206\u6790\u306e\u30d7\u30ed\u30bb\u30b9\u30e2\u30c7\u30eb\u306e1\u3064\u3067\u3042\u308b\u300cCRISP-DM\u300d\u306b\u95a2\u3057\u3066\u3082\u89e3\u8aac\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
CRISP-DM\u3068\u306f<\/h2>\n\n\n\n
CRISP-DM(CRoss-Industry Standard Process for Data Mining)\u3068\u306f\u3001\u30c7\u30fc\u30bf\u5206\u6790\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u5206\u6790\u30d7\u30ed\u30bb\u30b9\u30e2\u30c7\u30eb\u3067\u3059\u3002CRISP-DM\u306b\u6cbf\u3063\u3066\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3046\u3053\u3068\u3067\u3001\u52b9\u7387\u3088\u304f\u30c7\u30fc\u30bf\u5206\u6790\u3092\u884c\u3046\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/strong><\/p>\n\n\n\n
CRISP-DM\u3067\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30d7\u30ed\u30bb\u30b9\u3067\u30c7\u30fc\u30bf\u89e3\u6790\u304c\u884c\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
![\"\"](\"https:\/\/aiacademy.jp\/assets\/upload\/chapter_000039_A5pLPTXTrtTg.png\")
<\/figure>\n\n\n\n\u30d7\u30ed\u30bb\u30b9\u306b\u77e2\u5370\u304c\u5f15\u304b\u308c\u3001\u5186\u5f62\u306e\u30d7\u30ed\u30bb\u30b9\u30de\u30c3\u30d7\u304b\u3089\u3082\u308f\u304b\u308b\u901a\u308a\u3001\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u5206\u91ce\u3067\u306f\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u51e6\u7406\u3092\u623b\u308a\u3084\u308a\u76f4\u3057\u305f\u308a\u3001\u7e70\u308a\u8fd4\u3059\u3053\u3068\u304c\u6c42\u3081\u3089\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
CRISP-DM\u306e6\u3064\u306e\u30d7\u30ed\u30bb\u30b9<\/h2>\n\n\n\n
CRISP-DM\u306b\u306f\u3001\u6b21\u306e6\u3064\u306e\u30d7\u30ed\u30bb\u30b9\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\n
\u2776\u30d3\u30b8\u30cd\u30b9\u8ab2\u984c\u306e\u7406\u89e3<\/p>\n\n\n\n
\u2777\u30c7\u30fc\u30bf\u306e\u7406\u89e3<\/p>\n\n\n\n
\u2778\u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/p>\n\n\n\n
\u2779\u30e2\u30c7\u30eb\u4f5c\u6210<\/p>\n\n\n\n
\u277a\u8a55\u4fa1<\/p>\n\n\n\n
\u277b\u5c55\u958b\u30fb\u5171\u6709<\/p>\n<\/blockquote>\n\n\n\n
\u30d3\u30b8\u30cd\u30b9\u8ab2\u984c\u306e\u7406\u89e3<\/h2>\n\n\n\n
\u307e\u305a\u59cb\u3081\u306b\u30d3\u30b8\u30cd\u30b9\u8ab2\u984c\u3092\u7406\u89e3\u3059\u308b\u3068\u3053\u308d\u304b\u3089\u59cb\u307e\u308a\u307e\u3059\u3002\uff08Business Understainding\uff09<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u306e\u7406\u89e3<\/h2>\n\n\n\n
\u30d3\u30b8\u30cd\u30b9\u8ab2\u984c\u306e\u7406\u89e3\u306e\u6b21\u306f\u3001\u30c7\u30fc\u30bf\u306e\u7406\u89e3\u306e\u30d5\u30a7\u30fc\u30ba\u3067\u3059\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u306e\u7406\u89e3\u306e\u30d5\u30a7\u30fc\u30ba\u3067\u306f\u3001\u5206\u6790\u306e\u3082\u3068\u3068\u306a\u308b\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066\u7406\u89e3\u3057\u307e\u3059\u3002<\/strong><\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u3092\u7406\u89e3\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u305f\u3060\u624b\u3092\u52d5\u304b\u305b\u3070\u826f\u3044\u308f\u3051\u3067\u306a\u304f\u3001\u62c5\u5f53\u8005\u3068\u306e\u5bc6\u306a\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u304c\u5fc5\u8981<\/strong>\u306b\u306a\u308a\u307e\u3059\u3002\u3055\u3089\u306b\u3001\u53ef\u8996\u5316\u3092\u884c\u3046\u3053\u3068\u3067\u30c7\u30fc\u30bf\u7406\u89e3\u306b\u3064\u306a\u304c\u308a\u307e\u3059\u3002<\/strong><\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u306e\u6e96\u5099<\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u306e\u7406\u89e3\u304c\u3067\u304d\u305f\u3089\u3001\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u524d\u6bb5\u968e\u3068\u3057\u3066\u30c7\u30fc\u30bf\u3092\u6e96\u5099\u30fb\u524d\u51e6\u7406\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u524d\u51e6\u7406\u306f\u3001\u5168\u4f53\u306e8\u5272\u3092\u5360\u3081\u308b\u3068\u4e00\u822c\u7684\u306b\u8a00\u308f\u308c\u307e\u3059\u3002<\/p>\n\n\n\n
\u3069\u306e\u3088\u3046\u306b\u7279\u5fb4\u91cf\u3092\u4f5c\u6210\u3059\u308b\u304b\u306b\u3088\u3063\u3066\u3001\u6b21\u306e\u30d5\u30a7\u30fc\u30ba\u306e\u30e2\u30c7\u30eb\u306e\u7cbe\u5ea6\u3092\u5de6\u53f3\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\u3055\u3089\u306b\u306f\u3001\u30d3\u30b8\u30cd\u30b9\u7406\u89e3\u306e\u30d5\u30a7\u30fc\u30ba\u306b\u5b9a\u3081\u305f\u5206\u6790\u76ee\u6a19\u3092\u9054\u6210\u3067\u304d\u308b\u304b\u3069\u3046\u304b\u306b\u3082\u3064\u306a\u304c\u308b\u305f\u3081\u3001\u4f5c\u696d\u306b\u306f\u5341\u5206\u306b\u6642\u9593\u3092\u5272\u304f\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u30e2\u30c7\u30eb\u4f5c\u6210<\/h2>\n\n\n\n
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\u8a55\u4fa1<\/h2>\n\n\n\n
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\u5c55\u958b\u30fb\u5171\u6709<\/h2>\n\n\n\n
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\u5206\u6790\u306e\u4fa1\u5024\u304c\u4e0b\u304c\u3089\u306a\u3044\u3088\u3046\u3001\u30e2\u30c7\u30eb\u306f\u65e5\u3005\u66f4\u65b0\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
\uff08\u66f4\u65b0\u983b\u5ea6\u306f\u30d3\u30b8\u30cd\u30b9\u306e\u76ee\u7684\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u3002\uff09<\/p>\n\n\n\n
<\/p>\n\n\n\n
Pandas\u3068\u306f<\/h2>\n\n\n\n
![\"\"](\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2022\/02\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2022-02-12-19.35.28-1024x606.png\")
<\/a><\/figure>\n\n\n\nPandas(\u30d1\u30f3\u30c0\u30b9\/\u30d1\u30f3\u30c0\u30ba)<\/a>\u306f\u30c7\u30fc\u30bf\u89e3\u6790\u3092\u5bb9\u6613\u306b\u3059\u308b\u6a5f\u80fd\u3092\u63d0\u4f9b\u3059\u308bPython\u306e\u30c7\u30fc\u30bf\u89e3\u6790\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3059\u3002<\/p>\n\n\n\n
Pandas\u306e\u7279\u5fb4\u306b\u306f\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0(DataFrame)\u306a\u3069\u306e\u72ec\u81ea\u306e\u30c7\u30fc\u30bf\u69cb\u9020\u304c\u63d0\u4f9b\u3055\u308c\u3066\u304a\u308a\u3001\u69d8\u3005\u306a\u51e6\u7406\u304c\u53ef\u80fd\u3067\u3059\u3002\u7279\u306b\u3001\u8868\u5f62\u5f0f\u306e\u30c7\u30fc\u30bf\u3092SQL<\/a>\u307e\u305f\u306fR<\/a>\u306e\u3088\u3046\u306b\u64cd\u4f5c\u3059\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3001\u304b\u3064\u9ad8\u901f\u3067\u51e6\u7406\u51fa\u6765\u307e\u3059\u3002\u6700\u65b0\u60c5\u5831\u306b\u95a2\u3057\u3066\u306f \u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a>\u3092\u53c2\u8003\u3057\u3066\u304f\u3060\u3055\u3044\u3002Pandas\u3092\u4f7f\u3046\u3053\u3068\u3067\u4e0b\u8a18\u306e\u3088\u3046\u306a\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
\n
\u30fbCSV\u3084Excel\u3001RDB\u306a\u3069\u306b\u30c7\u30fc\u30bf\u3092\u5165\u51fa\u529b\u3067\u304d\u308b <\/p>\n\n\n\n
\u30fb\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406(NaN \/ Not a Number\u3001\u6b20\u640d\u5024) <\/p>\n\n\n\n
\u30fb\u30c7\u30fc\u30bf\u306e\u7d50\u5408\u3084\u90e8\u5206\u7684\u306a\u53d6\u308a\u51fa\u3057\u3084\u30d4\u30dc\u30c3\u30c9(pivot)\u51e6\u7406 <\/p>\n\n\n\n
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\u30fb\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u306e\u7d71\u8a08\u51e6\u7406<\/p>\n<\/blockquote>\n\n\n\n
\u306a\u305cPandas\u3092\u5b66\u3076\u306e\u304b<\/h2>\n\n\n\n
\u306a\u305cPandas\u3092\u5b66\u3076\u306e\u304b\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\u3084\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u304cPython\u3067\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3092\u3059\u308b\u4e0a\u3067\u3001Pandas\u306f\u5fc5\u9808\u3068\u8a00\u3063\u3066\u826f\u3044\u307b\u3069\u5229\u7528\u3057\u307e\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3044\u3066\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u306f\u591a\u304f\u306e\u6642\u9593\u3092\u5272\u304f\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u304c\u3001Pandas\u3092\u4f7f\u3046\u3053\u3068\u3067\u3053\u306e\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3068\u3044\u3046\u5de5\u7a0b\u3092\u52b9\u7387\u3088\u304f\u884c\u3046\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
Pandas\u3092\u4f7f\u3046\u30e1\u30ea\u30c3\u30c8<\/h2>\n\n\n\n
Pandas\u3092\u4f7f\u3046\u30e1\u30ea\u30c3\u30c8\u306f\u4e3b\u306b2\u3064\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
1. \u591a\u7a2e\u306e\u578b\u306e\u30c7\u30fc\u30bf\u3092\u4e00\u3064\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3067\u6271\u3048\u308b\u3053\u3068NumPy\u306e\u914d\u5217\uff08np.array\uff09\u306f\u3059\u3079\u3066\u306e\u8981\u7d20\u304c\u540c\u3058\u578b\u3067\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093\u3002\u3088\u3063\u3066\u3001csv\u30d5\u30a1\u30a4\u30eb\u306e\u8aad\u307f\u66f8\u304d\u306a\u3069\u3067\u306f\u3001NumPy\u306f\u4e0d\u4fbf\u3060\u3063\u305f\u308a\u3057\u307e\u3059\u3002\u305d\u306e\u70b9\u3001Pandas\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306f\u7570\u306a\u308b\u578b\u306e\u30c7\u30fc\u30bf\u3092\u5165\u308c\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002Pandas\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u683c\u7d0d\u3059\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u304c\u5bb9\u6613\u306b\u3067\u304d\u307e\u3059\u3002 <\/p>\n\n\n\n
2.\u30c7\u30fc\u30bf\u52a0\u5de5\u3084\u89e3\u6790\u306e\u95a2\u6570\u304c\u591a\u3044<\/p>\n\n\n\n
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<\/p>\n\n\n\n
Pandas\u3092\u4f7f\u3046<\/h2>\n\n\n\n
Pandas\u3092\u5229\u7528\u3059\u308b\u306b\u306f\u3001Pandas\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u8aad\u307f\u8fbc\u307f\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u3001Pandas\u3092pd\u3068\u3044\u3046\u540d\u524d\u3067\u6271\u3048\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
import pandas as pd<\/code><\/pre>\n\n\n\npip\u30b3\u30de\u30f3\u30c9\u3092\u7528\u3044\u305fPandas\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306f\u4e0b\u8a18\u306e\u30b3\u30de\u30f3\u30c9\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u51fa\u6765\u307e\u3059\u3002Mac\u306e\u65b9\u306f\u30bf\u30fc\u30df\u30ca\u30eb\u3001Windows\u306e\u65b9\u306f\u30b3\u30de\u30f3\u30c9\u30d7\u30ed\u30f3\u30d7\u30c8\u4e0a\u3067\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
pip install pandas<\/code><\/pre>\n\n\n\nJupyter Notebook\u3092\u304a\u4f7f\u3044\u306e\u65b9\u306f\u3001\u8d77\u52d5\u3057\u305fNotebook\u306e\u30bb\u30eb\u306b\u3001\u5148\u982d\u306b!\u30de\u30fc\u30af\u3092\u3064\u3051\u3066\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
!pip install pandas<\/code><\/pre>\n\n\n\n\u30c7\u30fc\u30bf\u578b(pandas\u306e\u57fa\u672c\u30c7\u30fc\u30bf\u578b)<\/h2>\n\n\n\n
Pandas\u306fNumPy\u3092\u30d9\u30fc\u30b9\u3068\u3057\u3066\u69cb\u7bc9\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001NumPy\u306endarray\u3068\u306e\u76f8\u6027\u304c\u826f\u3044\u3067\u3059\u30022\u3064\u306e\u30c7\u30fc\u30bf\u578b\u3067\u30c7\u30fc\u30bf\u3092\u4fdd\u6301\u3057\u307e\u3059\u3002 <\/p>\n\n\n\n
1.\u30b7\u30ea\u30fc\u30ba(Series)<\/p>\n\n\n\n
2.\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0(DataFrame)<\/p>\n\n\n\n
\u305d\u308c\u305e\u308c1\u30641\u3064\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u30b7\u30ea\u30fc\u30ba<\/h2>\n\n\n\n
Series\u306f1\u5217\u30841\u884c\u5206\u306e\u307f\u306e\u30c7\u30fc\u30bf\u578b\u3067\u3059\u3002<\/p>\n\n\n\n
import pandas as pd\n\ns1 = pd.Series([1,2,3,5])\nprint(s1)\n\n\"\"\"\n# \u5de6\u306e\u5217\u306f\u884c\u30e9\u30d9\u30eb\n\" \u53f3\u306e\u5217\u306f\u30b7\u30ea\u30fc\u30ba\u306e\u30c7\u30fc\u30bf\n0 1\n1 2\n2 3\n3 5\ndtype: int64 # \u30c7\u30fc\u30bf\u306e\u578b\n\"\"\"<\/code><\/pre>\n\n\n\n\u30b7\u30ea\u30fc\u30ba\u306f\u30c7\u30fc\u30bf(values)\u3068\u305d\u308c\u306b\u5bfe\u5fdc\u3059\u308b\u884c\u30e9\u30d9\u30eb(index)\u3092\u6301\u30641\u6b21\u5143\u30c7\u30fc\u30bf\u69cb\u9020\u3067\u3042\u308a\u3001\u8f9e\u66f8\u578b\u3068\u306f\u9055\u3063\u3066\u30c7\u30fc\u30bf\u306b\u306f\u9806\u756a\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0<\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306f2\u6b21\u5143\u306e\u30e9\u30d9\u30eb\u4ed8\u304d\u306e\u30c7\u30fc\u30bf\u69cb\u9020\u3067\u3001Pandas\u3067\u306f\u6700\u3082\u591a\u304f\u4f7f\u308f\u308c\u308b\u30c7\u30fc\u30bf\u578b\u3067\u3059\u3002<\/p>\n\n\n\n
\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u30a4\u30e1\u30fc\u30b8\u3068\u3057\u3066\u3001\u30b9\u30d7\u30ec\u30c3\u30c9\u30b7\u30fc\u30c8\u3084SQL\u306e\u30c6\u30fc\u30d6\u30eb\u3092\u30a4\u30e1\u30fc\u30b8\u3059\u308b\u3068\u308f\u304b\u308a\u3084\u3059\u3044\u3067\u3059\u3002DataFrame\u306f\u8907\u6570\u306e\u5217\u3092\u6301\u3061\u3001DataFrame\u304b\u30891\u5217\u3092\u62bd\u51fa\u3057\u305f\u5834\u5408\u3082\u52dd\u624b\u306bSeries\u306b\u306a\u308a\u307e\u3059\u3002\u307e\u305f\u3001\u30b7\u30ea\u30fc\u30ba\u3068\u540c\u69d8\u306b\u69d8\u3005\u306a\u578b\u306e\u30c7\u30fc\u30bf\u3092\u4fdd\u6301\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002<\/p>\n\n\n\n
import pandas as pd\ndf = pd.DataFrame({\n '\u540d\u524d' :['\u7530\u4e2d', '\u5c71\u7530', '\u9ad8\u6a4b'],\n '\u5f79\u5272' : ['\u55b6\u696d\u90e8\u9577', '\u5e83\u5831\u90e8', '\u6280\u8853\u8cac\u4efb\u8005'],\n '\u8eab\u9577' : [178, 173, 169]\n })\nprint(df)\nprint(df.dtypes)\n\nprint(df.columns) # \u5217\u30e9\u30d9\u30eb\u306e\u78ba\u8a8d(\u8f9e\u66f8\u578b\u306ekey\u304c\u5217\u30e9\u30d9\u30eb\uff09<\/code><\/pre>\n\n\n\n\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306f\u3001\u30ea\u30b9\u30c8\u578b\u306e\u30c7\u30fc\u30bf\u3092\u6301\u3064\u8f9e\u66f8\u578b\u3092DataFrame\u95a2\u6570\u306e\u5f15\u6570\u306b\u6e21\u3059\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u304c\u51fa\u6765\u307e\u3059\u3002\u4fdd\u6301\u3055\u308c\u308b\u30c7\u30fc\u30bf\u306e\u5217\u306e\u9806\u5e8f\u3067\u3059\u304c\u3001\u5217\u30e9\u30d9\u30eb\u306b\u3088\u3063\u3066\u81ea\u52d5\u7684\u306b\u30bd\u30fc\u30c8\u3055\u308c\u307e\u3059\u3002\u3067\u3059\u306e\u3067\u3001\u30c7\u30fc\u30bf\u3092\u4e0e\u3048\u305f\u6642\u70b9\u3067\u306e\u9806\u5e8f\u3068\u7570\u306a\u3063\u3066\u3057\u307e\u3046\u53ef\u80fd\u6027\u304c\u3042\u308b\u306e\u3067\u6ce8\u610f\u3067\u3059\u3002\u3067\u3059\u304c\u3001columns\u5f15\u6570\u306b\u5217\u306e\u9806\u5e8f\u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u305d\u306e\u901a\u308a\u306b\u4f5c\u6210\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n\n\n
import pandas as pd\ndata = {\n '\u540d\u524d' :['\u7530\u4e2d', '\u5c71\u7530', '\u9ad8\u6a4b'],\n '\u5f79\u5272' : ['\u55b6\u696d\u90e8\u9577', '\u5e83\u5831\u90e8', '\u6280\u8853\u8cac\u4efb\u8005'],\n '\u8eab\u9577' : [178, 173, 169]\n }\ndf = pd.DataFrame(data, columns=[\"\u540d\u524d\", \"\u5f79\u5272\", \"\u8eab\u9577\"]) # \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u751f\u6210\u6642\u306b\u5bfe\u5fdc\u3059\u308b\u30c7\u30fc\u30bf\u3092\u6301\u3063\u3066\u3044\u306a\u3044\u5834\u5408\u3001\u305d\u306e\u30c7\u30fc\u30bf\u306e\u5217\u306b\u306fNaN\u304c\u5272\u308a\u5f53\u3066\u3089\u308c\u307e\u3059\u3002\n# \u307e\u305f\u4e0b\u8a18\u306e\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u30ab\u30e9\u30e0\u306e\u540d\u79f0\u3092\u5909\u66f4\u30fb\u7f6e\u63db\u53ef\u80fd\u3067\u3059\ndf.columns = [\"Name\", \"Position\", \"height\"]\nprint(df)<\/code><\/pre>\n\n\n\nhead()\u3068tail()<\/h1>\n\n\n\n
Pandas\u306e\u30c7\u30fc\u30bf\u306e\u4e2d\u8eab\u3092\u898b\u308b\u969b\u306bhead()\u3092\u4f7f\u3046\u3068\u5148\u982d\u304b\u30895\u4ef6\u3092\u8868\u793a\u3057\u3066\u304f\u308c\u307e\u3059\u3002\u307e\u305f\u5f15\u6570\u306b\u6570\u5b57\u3092\u6e21\u3059\u3053\u3068\u3067\u305d\u306e\u4ef6\u6570\u5206\u5148\u982d\u304b\u3089\u53d6\u5f97\u53ef\u80fd\u3067\u3059\u3002\u307e\u305f\u3001tail()\u3092\u4f7f\u3046\u3068\u672b\u5c3e\u304b\u30895\u4ef6\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002head()\u3068\u540c\u3058\u3088\u3046\u306b\u3001\u5f15\u6570\u306b\u6570\u5b57\u3092\u6e21\u3059\u3053\u3068\u3067\u305d\u306e\u4ef6\u6570\u5206\u672b\u5c3e\u304b\u3089\u53d6\u5f97\u53ef\u80fd\u3067\u3059\u3002\u307e\u305f\u30c7\u30fc\u30bf\u306e\u5148\u982d\u3068\u672b\u5c3e\u304b\u3089\u540c\u6642\u306b\u30c7\u30fc\u30bf\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\n\n\n\n
import pandas as pd\nimport numpy as np\ndf = pd.DataFrame(np.random.randn(20,2))\ndf.head() # \u5148\u982d\u304b\u30895\u4ef6\ndf.tail() # \u672b\u5c3e\u304b\u30895\u4ef6<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
\u69d8\u3005\u306a\u57fa\u672c\u7d71\u8a08\u91cf<\/h2>\n\n\n\n
\u69d8\u3005\u306a\u57fa\u672c\u7d71\u8a08\u91cf\u306b\u95a2\u3057\u3066\u5b66\u3093\u3067\u884c\u304d\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u6570\u5f0f\u3082\u51fa\u3066\u304f\u308b\u306e\u3067\u3001\u3058\u3063\u304f\u308a\u8aad\u307f\u9032\u3081\u3066\u884c\u3063\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
\u4f8b\u3048\u3070\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u4f8b\u984c\u3092\u8003\u3048\u307e\u3057\u3087\u3046\u3002\uff08\u4f8b\u984c\uff09\u3042\u308b\u4f01\u696dA\u3067\u306f\u3001\u65b0\u898f\u9867\u5ba2\u7372\u5f97\u306e\u305f\u3081\u306b\u5e83\u544a\u3068\u3057\u3066Twitter, Facebook\u3092\u7528\u3044\u3066\u3044\u308b\u3002\u4ee5\u4e0b\u306e\u30c7\u30fc\u30bf\u306fTwitter, Facebook\u304b\u3089\u306e\u66dc\u65e5\u6bce\u306e\u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3\u6570\u3092\u8868\u3057\u3066\u3044\u308b\u3002<\/p>\n\n\n\n
\u3069\u3061\u3089\u306e\u5e83\u544a\u5a92\u4f53\u304c\u3069\u3046\u9069\u3057\u3066\u3044\u308b\u304b\u8003\u5bdf\u305b\u3088\u3002\u306a\u304a\u3001\uff11\u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3\u306f\u3001\u5e83\u544a\u5a92\u4f53\u304b\u3089\uff11\u5ea6\u306e\u65b0\u898f\u7533\u3057\u8fbc\u307f\u304c\u6765\u305f\u3053\u3068\u3092\u8868\u3059\u3002<\/p>\n\n\n\n
![\"\"](\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2022\/02\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2022-02-12-19.28.53.png\")
<\/figure>\n\n\n\n\u3053\u3046\u3044\u3063\u305f\u751f\u306e\u6570\u5b57\u3060\u3051\u3092\u898b\u305b\u3089\u308c\u305f\u6642\u306b\u3001\u57fa\u672c\u7d71\u8a08\u91cf\u304c\u5f79\u306b\u305f\u3061\u307e\u3059\u3002\u57fa\u672c\u7d71\u8a08\u91cf\u3068\u306f\u300c\u30c7\u30fc\u30bf\u306e\u7279\u5fb4\u3092\u8981\u7d04\u3057\u305f\u6570\u5024\u300d\u306e\u4e8b\u3092\u8868\u3057\u307e\u3059\u3002\u307e\u305a\u306f\u3001\u5e7e\u3064\u304b\u306e\u7d71\u8a08\u91cf\u306e\u5b9a\u7fa9\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u305d\u3057\u3066Python\u3067\u7d71\u8a08\u91cf\u3092\u6c42\u3081\u3001\u305d\u306e\u30c7\u30fc\u30bf\u304b\u3089\u5b9a\u91cf\u7684\u306b\u3069\u306e\u3088\u3046\u306a\u3053\u3068\u304c\u8a00\u3048\u308b\u304b\u8003\u3048\u307e\u3057\u3087\u3046\u3002\u4eca\u56de\u8aac\u660e\u3059\u308b\u57fa\u672c\u7d71\u8a08\u91cf\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
- \u5e73\u5747\u5024\n- \u6700\u5c0f\u5024\n- \u6700\u5927\u5024\n- \u4e2d\u592e\u5024\n- \u6700\u983b\u5024\n- \u5e73\u65b9\u548c\n- \u5206\u6563\n- \u6a19\u6e96\u504f\u5dee<\/code><\/pre>\n\n\n\n\u4e0a\u8a18\u306e\u57fa\u672c\u7d71\u8a08\u91cf\u306b\u306f\u3001\u5927\u304d\u304f\u4ee3\u8868\u5024<\/strong>\u3068\u6563\u5e03\u5ea6<\/strong>\u306b\u5927\u5225\u3067\u304d\u307e\u3059\u3002
\u4ee3\u8868\u5024\u3068\u306f\u3001\u30c7\u30fc\u30bf\u5168\u4f53\u3092\u8868\u3059\u5024\u3067\u3001\u5e73\u5747\u5024\u3001\u6700\u5c0f\u5024\u3001\u6700\u5927\u5024\u3001\u4e2d\u592e\u5024\u3001\u6700\u983b\u5024\u304c\u8a72\u5f53\u3057\u307e\u3059\u3002
\u6563\u5e03\u5ea6\u3068\u306f\u3001\u30c7\u30fc\u30bf\u306e\u6563\u3089\u3070\u308a\u3092\u8868\u3059\u5024\u3067\u3001\u5206\u6563\u3001\u6a19\u6e96\u504f\u5dee\u3001\u7bc4\u56f2\u3001\u6b6a\u5ea6\u3001\u5c16\u5ea6\u306a\u3069\u304c\u8a72\u5f53\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\u5e73\u5747\u5024<\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u306e\u5408\u8a08\u3092\u500b\u6570\u3067\u5272\u3063\u305f\u5024\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u6700\u5c0f\u5024<\/strong><\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u306b\u542b\u307e\u308c\u308b\u6700\u3082\u5c0f\u3055\u3044\u5024\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u6700\u5927\u5024<\/strong><\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u306b\u542b\u307e\u308c\u308b\u6700\u3082\u5927\u304d\u3044\u5024\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u7bc4\u56f2\uff08\u30ec\u30f3\u30b8\uff09<\/strong><\/h2>\n\n\n\n
\u6700\u5927\u5024\u3068\u6700\u5c0f\u5024\u306e\u5dee\u3002<\/p>\n\n\n\n
\u4e2d\u592e\u5024<\/strong><\/h2>\n\n\n\n
\u30c7\u30fc\u30bf\u3092\u5c0f\u3055\u3044\u3082\u306e\u304b\u3089\u5927\u304d\u3044\u3082\u306e\u9806\u306b\u4e26\u3079\u305f\u3068\u304d\u4e2d\u592e\u306b\u4f4d\u7f6e\u3059\u308b\u5024\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u5b9f\u969b\u306bTwitter, Facebook\u306e\u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3\u6570\u306e\u57fa\u672c\u7d71\u8a08\u91cf\u3092\u6c42\u3081\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
Python\u3067\u306e\u5b9f\u88c5\u65b9\u6cd5\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
import numpy as np\n\ntwitter = np.array([180, 80, 30, 50, 210])\nfacebook = np.array([100, 120, 100, 120, 110])\n\n# \u5e73\u5747\u5024\u3092\u8a08\u7b97\nt_mean = np.mean(twitter)\nf_mean = np.mean(facebook)\n\n# \u6700\u5c0f\u5024\u3092\u8a08\u7b97\nt_minimum = np.min(twitter)\nf_minimum = np.min(facebook)\n\n# \u6700\u5927\u5024\u3092\u8a08\u7b97\nt_maximum = np.max(twitter)\nf_maximum = np.max(facebook)\n\n# \u7bc4\u56f2\u3092\u8a08\u7b97\nt_range = t_maximum - t_minimum\nf_range = f_maximum - f_minimum\n\n# \u4e2d\u592e\u5024\u3092\u8a08\u7b97\nt_median = np.median(twitter)\nf_median = np.median(facebook)\n\nprint(\"\u5e73\u5747\u5024(Twitter, Facebook)\uff1a(\" + str(t_mean) + \",\" + str(f_mean) + \")\")\nprint(\"\u6700\u5c0f\u5024(Twitter, Facebook)\uff1a(\" + str(t_minimum) + \",\" + str(f_minimum) + \")\")\nprint(\"\u6700\u5927\u5024(Twitter, Facebook)\uff1a(\" + str(t_maximum) + \",\" + str(f_maximum) + \")\")\nprint(\"\u7bc4\u56f2(Twitter, Facebook)\uff1a(\" + str(t_range) + \",\" + str(f_range) + \")\")\nprint(\"\u4e2d\u592e\u5024(Twitter, Facebook)\uff1a(\" + str(t_median) + \",\" + str(f_median) + \")\")\n#\u3000\u51fa\u529b\u7d50\u679c\n\"\"\"\n\u5e73\u5747\u5024(Twitter, Facebook)\uff1a(110.0,110.0)\n\u6700\u5c0f\u5024(Twitter, Facebook)\uff1a(30,100)\n\u6700\u5927\u5024(Twitter, Facebook)\uff1a(210,120)\n\u7bc4\u56f2(Twitter, Facebook)\uff1a(180,20)\n\u4e2d\u592e\u5024(Twitter, Facebook)\uff1a(80.0,110.0)\n\"\"\"<\/code><\/pre>\n\n\n\n\u57fa\u672c\u7d71\u8a08\u91cf\u3092\u7b97\u51fa\u3057\u305f\u5f8c\u306e\u89e3\u91c8<\/h2>\n\n\n\n
\u7d50\u679c\u304b\u3089\u3001\u5e73\u5747\u5024\u306f\u4e8c\u3064\u306e\u5e83\u544a\u3067\u5909\u308f\u3089\u306a\u3044\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3057\u305f\u3002\u306a\u306e\u3067\u3001\u5e73\u5747\u5024\u304b\u3089\u3069\u3061\u3089\u306e\u5e83\u544a\u5a92\u4f53\u3092\u63a1\u7528\u3059\u3079\u304d\u304b\u3069\u3046\u304b\u306f\u308f\u304b\u308a\u307e\u305b\u3093\u3002\u30c7\u30fc\u30bf\u306e\u5e73\u5747\u5024\u3068\u3001\u4e0a\u9650\u3068\u4e0b\u9650\u306e\u5024\u304b\u3089\u7570\u5e38\u5024\u304c\u306a\u3044\u3053\u3068\u3082\u308f\u304b\u308a\u307e\u3059\u3002\u305f\u3060\u3001\u4eca\u56de\u306e\u30c7\u30fc\u30bf\u3067\u306f\u7bc4\u56f2\u304cTwitter, Facebook\u3067\u5927\u304d\u304f\u5909\u308f\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u3053\u3046\u3044\u3063\u305f\u30c7\u30fc\u30bf\u7fa4\u3067\u306f\u3001\u30c7\u30fc\u30bf\u306e\u201d\u3070\u3089\u3064\u304d\u201d\u306b\u6ce8\u76ee\u3059\u308b\u3053\u3068\u304c\u6709\u52b9\u3067\u3059\u3002 \u3067\u306f\u3001\u30c7\u30fc\u30bf\u306e\u3070\u3089\u3064\u304d\u3092\u8868\u3059\u57fa\u672c\u7d71\u8a08\u91cf\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\u610f\u5473\u3060\u3051\u3092\u898b\u308b\u3068\u307b\u3068\u3093\u3069\u540c\u3058\u3067\u3059\u304c\u3001\u5b9a\u7fa9\u5f0f\u304c\u9055\u3046\u3053\u3068\u306b\u6ce8\u610f\u304c\u5fc5\u8981\u3067\u3059\u3002\u30c7\u30fc\u30bf\u306e\u6563\u3089\u3070\u308a\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u3067\u3001\u5b9a\u91cf\u7684\u306b\u300c\u5e73\u5747\u5024\u5468\u308a\u306b\u3069\u308c\u3060\u3051\u30c7\u30fc\u30bf\u304c\u307e\u3068\u307e\u3063\u3066\u3044\u308b\u304b\u300d\u3092\u898b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u5e73\u65b9\u548c<\/strong><\/h2>\n\n\n\n
\u500b\u3005\u306e\u30c7\u30fc\u30bf\u3068\u5e73\u5747\u5024\u306e\u5dee\u3092\u4e8c\u4e57\u3057\u305f\u5024\u306e\u548c\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u5206\u6563<\/strong><\/h2>\n\n\n\n
\u5e73\u65b9\u548c\u3092(n-1)\u3067\u5272\u3063\u305f\u3082\u306e\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u6a19\u6e96\u504f\u5dee<\/strong><\/h2>\n\n\n\n
\u5206\u6563\u306e\u5e73\u65b9\u6839\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u4e0a\u8a18\u3057\u305f\u30c7\u30fc\u30bf\u306e\u3070\u3089\u3064\u304d\u3092\u8868\u3059\u57fa\u672c\u7d71\u8a08\u91cf\uff08\u5206\u6563\u3001\u6a19\u6e96\u504f\u5dee\uff09\u3092Python\u3067\u6c42\u3081\u3066\u307f\u307e\u3057\u3087\u3046\u3002Python\u3067\u306e\u5b9f\u88c5\u65b9\u6cd5\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
import numpy as np\n\ntwitter = np.array([180, 80, 30, 50, 210])\nfacebook = np.array([100, 120, 100, 120, 110])\n\n#\u3000\u5206\u6563\u3092\u8a08\u7b97\nt_var = np.var(twitter)\nf_var = np.var(facebook)\n\n#\u3000\u6a19\u6e96\u504f\u5dee\u3092\u8a08\u7b97\nt_std = np.std(twitter)\nf_std = np.std(facebook)\n\nprint(\"\u5206\u6563(Twitter, Facebook)\uff1a(\" + str(t_var) + \",\" + str(f_var) +\")\")\nprint(\"\u6a19\u6e96\u504f\u5dee(Twitter, Facebook)\uff1a(\" + str(t_std) + \",\" + str(f_std) +\")\")\n\n#\u3000\u51fa\u529b\u7d50\u679c\n\"\"\"\n\u5206\u6563(Twitter, Facebook)\uff1a(5160.0,80.0)\n\u6a19\u6e96\u504f\u5dee(Twitter, Facebook)\uff1a(71.8331399843,8.94427191)\n\"\"\"<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
\u5206\u6563\u3084\u6a19\u6e96\u504f\u5dee\u306e\u5024\u304b\u3089\u3001Twitter\u306e\u65b9\u304cFacebook\u3088\u308a\u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3\u6570\u306e\u3070\u3089\u3064\u304d\u304c\u5927\u304d\u3044\u3053\u3068\u304c\u5b9a\u91cf\u7684\u306b\u308f\u304b\u308a\u307e\u3057\u305f\u3002\u4eca\u56de\u306e\u5834\u5408\u3067\u3042\u308c\u3070\u3001 \u2013 \u5e73\u5747\u7684\u306b\u6301\u7d9a\u3057\u305f\u30b3\u30f3\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u5f97\u305f\u3051\u308c\u3070Facebook\u3092\u5229\u7528\u3059\u308b\u3002- \u53ef\u80fd\u3067\u3042\u308c\u3070\u3001\u6708\u66dc\u3001\u91d1\u66dc\u306e\u307fTwitter\u306e\u5229\u7528\u3092\u3057\u3066\u3001\u5e73\u65e5\u3060\u3051Facebook\u306e\u5e83\u544a\u3092\u5229\u7528\u3059\u308b\u3002 <\/p>\n\n\n\n
\u306a\u3069\u304c\u6709\u52b9\u306a\u5e83\u544a\u306e\u4f7f\u3044\u65b9\u3067\u3057\u3087\u3046\u3002\u307e\u305f\u3001\u3053\u306e\u7a0b\u5ea6\u306e\u91cf\u306e\u30c7\u30fc\u30bf\u6570\u3067\u3042\u308c\u3070\u898b\u305f\u3060\u3051\u3067\u628a\u63e1\u306f\u3067\u304d\u308b\u306e\u3067\u3059\u304c\u3001\u3053\u306e\u30c7\u30fc\u30bf\u6570\u304c\u591a\u304f\u306a\u308b\u3068\u628a\u63e1\u304c\u5927\u5909\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u3046\u3044\u3063\u305f\u5834\u5408\u306b\u6709\u52b9\u306a\u306e\u304c\u3001\u57fa\u672c\u7d71\u8a08\u91cf\u306e\u8a08\u7b97\u3067\u3059\u3002\u307e\u305f\u3001\u30c7\u30fc\u30bf\u6570\u304c\u5927\u304d\u304f\u306a\u3063\u305f\u6642\u306b\u3001\u76f4\u89b3\u7684\u306b\u30c7\u30fc\u30bf\u3092\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u306e\u3082\u6709\u52b9\u3067\u3059\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
Pandas\u3067\u6b20\u640d\u5024\u3092\u51e6\u7406\u3057\u3066\u307f\u3088\u3046\uff01<\/h1>\n\n\n\n
\u6b21\u306e\u7bc0\u3067\u306f\u3001\u5c11\u3057\u305a\u3064\u5b9f\u8df5\u7684\u306a\u5185\u5bb9\u306b\u5165\u3063\u3066\u3044\u304d\u307e\u3059\u3002\u30c7\u30fc\u30bf\u5206\u6790\u3059\u308b\u969b\u306b\u624b\u5143\u306e\u30c7\u30fc\u30bf\u3092\u52a0\u5de5\u3059\u308b\u3053\u3068\u304c\u591a\u3005\u3042\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u6b20\u640d\u5024\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u65b9\u6cd5\u3092Pandas\u3067\u5b66\u3093\u3067\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n
\u6b20\u640d\u5024\u306e\u51e6\u7406<\/h2>\n\n\n\n
Pandas\u306b\u306f\u6b20\u640d\u5024(NaN)\u306e\u6271\u3046\u30e1\u30bd\u30c3\u30c9\u306f\u300cdropna\u300d\u3001\u300cfillna\u300d\u3001\u300cisnull\u300d\u3001\u300cnotnull\u300d\u304c\u3042\u308a\u307e\u3059\u30021\u30641\u3064\u89e3\u8aac\u3057\u3066\u3044\u304d\u307e\u3059\u3002\u307e\u305adropna\u306f\u6307\u5b9a\u306e\u8ef8\u65b9\u5411\u306b\u30c7\u30fc\u30bf\u5217\u3092\u898b\u3066\u3001\u6b20\u640d\u5024(NaN)\u306e\u6709\u7121\u306b\u95a2\u3057\u3066\u6307\u5b9a\u306e\u6761\u4ef6\u3092\u6e80\u305f\u3059\u5834\u5408\u306b\u3001\u305d\u306e\u30c7\u30fc\u30bf\u5217\u3092\u524a\u9664\u3057\u307e\u3059\u3002fillna\u306f\u6b20\u640d\u5024\u3092\u6307\u5b9a\u306e\u5024\u3082\u3057\u304f\u306f\u3001\u6307\u5b9a\u306e\u65b9\u6cd5\u3067\u57cb\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002isnull\u306f\u30c7\u30fc\u30bf\u306e\u8981\u7d20\u3054\u3068\u306bNaN\u306fTrue\u3001\u305d\u308c\u4ee5\u5916\u3092False\u3068\u3057\u3066\u6271\u3044\u3001\u5143\u306e\u30c7\u30fc\u30bf\u3068\u540c\u3058\u30b5\u30a4\u30ba\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u8fd4\u3057\u307e\u3059\u3002notnull\u306fisnull\u3068\u306f\u9006\u306e\u771f\u507d\u5024\u3092\u8fd4\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
import numpy as np\nimport pandas as pd\ndf = pd.DataFrame({\"int\": [1, np.nan, np.nan, 32],\n \"str\": [\"python\", \"ai\", np.nan, np.nan],\n \"flt\": [5.5, 4.2, -1.2, np.nan]})\nprint(df)\n\n# df\u6210\u5206\u306b\u5bfe\u3057\u3066NaN\u306e\u5730\u4f4d\u3092True\u3068\u3057\u305f\u30d6\u30fc\u30eb\u306e\u5024\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u8fd4\u3059\nprint(df.isnull()) # notnull()\u3092\u4f7f\u3046\u3068\u3001True\u3068False\u304c\u9006\u306e\u51e6\u7406\u306b\u306a\u308b\u3002\n\n# \"int\"\u5217\u306bNaN\u304c\u3042\u308b\u884c\u306e\u524a\u9664\nprint(df.dropna(subset=[\"int\"]))\n\n# NaN\u304c\u3042\u308b\u884c\u3092\u5168\u3066\u524a\u9664\u3059\u308b\nprint(df.dropna())\n\n# NaN\u3092\u5168\u30660\u306b\u7f6e\u63db\u3059\u308b\nprint(df.fillna(0)) # \u7b2c\u4e00\u5f15\u6570\u306bmethod=\"ffill\" \u7b2c\u4e8c\u5f15\u6570\u306blimtit=\u6570\u5b57 \u3068\u3059\u308b\u3053\u3068\u3067\u6307\u5b9a\u3057\u305f\u6570\u5b57\u307e\u3067\u306f\u524d\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066NaN\u3092\u57cb\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\n\ndf2 = pd.DataFrame({\"int\": [1, np.nan, np.nan, 32],\n \"str\": [\"python\", \"ai\", np.nan, np.nan],\n \"flt\": [5.5, 4.2, -1.2, np.nan]})\n\n# int\u5217\u3060\u30510\u3067\u88dc\u5b8c\ndf2.fillna({\"int\": 0}) # \u7279\u5b9a\u306e\u5217\u306b\u5bfe\u3057\u3066\u306f\u8f9e\u66f8\u578b\u3092\u7528\u3044\u308b\n\n\n# \u5217\u3054\u3068\u306b\u7570\u306a\u308b\u5024\u3092\u4f7f\u3044\u305f\u3044\u6642\u306f\u8907\u6570\u306e\u30ad\u30fc\u3092\u6e21\u3059\u3002\ndf2.fillna({\"int\": 0, \"str\": \"ai\"}) \n\n# drop()\u306a\u3069\u3001pandas\u306e\u30e1\u30bd\u30c3\u30c9\u306b\u306f\u3001axis\u3068\u3044\u3046\u5f15\u6570\u306b0\u3082\u3057\u304f\u306f1\u3092\u6307\u5b9a\u51fa\u6765\u307e\u3059\u3002\n# axis=0\u3068\u3057\u305f\u5834\u5408\u306f\u3001\u884c\u3092\u524a\u9664\u3057\u3001\u5217\u3092\u524a\u9664\u3057\u305f\u3044\u5834\u5408\u306faxis=1\u3068\u3057\u307e\u3059\u3002\n\n# \u7279\u5b9a\u306e\u5217(\u4f8b\u3048\u3070flt)\u3092\u524a\u9664\ndf2.drop(labels=\"flt\",axis=1)\n\"\"\"\n int str\n0 1.0 python\n1 NaN ai\n2 NaN NaN\n3 32.0 NaN\n\"\"\"\n\n# \u8907\u6570\u306e\u5217\u3092\u524a\u9664\ndf2.drop(labels=[\"flt\", \"str\"],axis=1)\n\n\"\"\"\n int\n0 1.0\n1 NaN\n2 NaN\n3 32.0\n\"\"\"\n\n# index\u3092\u6307\u5b9a\u3057\u3066\u3082\u3001\u884c\u3092\u6d88\u3059\u3053\u3068\u3082\u3067\u304d\u307e\u3059\ndf2.drop(index=1, axis=0)\n\"\"\"\nint str flt\n0 1.0 python 5.5\n2 NaN NaN -1.2\n3 32.0 NaN NaN\n\"\"\"\n\n# \u5143\u306e\u30c7\u30fc\u30bf\u306b\u53cd\u6620\u3057\u3066\u524a\u9664\u3059\u308b\u306b\u306finplace\u30aa\u30d7\u30b7\u30e7\u30f3\u306bTrue\u3092\u6e21\u3057\u307e\u3059\n# \u203binplace\u30aa\u30d7\u30b7\u30e7\u30f3\u3092True\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u7279\u5b9a\u306e\u30ab\u30e9\u30e0\u306a\u3069\u3092\u76f4\u63a5\u524a\u9664\u3059\u308b\u3068\u3044\u3046\u610f\u5473\u3067\u3059\u3002\n# \u8aad\u307f\u8fbc\u307f\u306b\u5229\u7528\u3057\u305f\u30c7\u30fc\u30bf\u306f\u66f8\u304d\u5909\u308f\u308b\u3053\u3068\u306f\u3042\u308a\u307e\u305b\u3093\u3002\ndf2.drop(labels=\"flt\", axis=1, inplace=True)\nprint(df2)\n\n\"\"\"\nint str\n0 1.0 python\n1 NaN ai\n2 NaN NaN\n3 32.0 NaN\n\"\"\"<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
\u76f8\u95a2\u5206\u6790\u3057\u3066\u307f\u3088\u3046\uff01<\/h1>\n\n\n\n
\u7d9a\u3044\u3066\u306f\u3001\u76f8\u95a2\u5206\u6790\u3092Pandas\u3067\u884c\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
<\/p>\n\n\n\n
\u76f8\u95a2\u5206\u6790\u3068\u306f<\/h2>\n\n\n\n
\u76f8\u95a2\u5206\u6790\u3068\u306f\u30012\u5909\u6570\u9593\u306e\u95a2\u4fc2\u3092\u6570\u5024\u3067\u8868\u73fe\u3059\u308b\u5206\u6790\u65b9\u6cd5\u3067\u3059\u3002<\/strong><\/p>\n\n\n\n
\u76f8\u95a2\u5206\u6790\u306f\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u9818\u57df\u306b\u304a\u3051\u308b\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3044\u3066\u3088\u304f\u7528\u3044\u3089\u308c\u308b\u5206\u6790\u624b\u6cd5\u306e1\u3064\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
\u76f8\u95a2\u3068\u76f8\u95a2\u4fc2\u6570\u3068\u306f<\/h2>\n\n\n\n
\u76f8\u95a2\u5206\u6790\u306e\u300c\u76f8\u95a2\u300d\u3068\u306f2\u3064\u4ee5\u4e0a\u306e\u5909\u6570\u304c\u3042\u308b\u3068\u304d\u306b\u3001\u305d\u308c\u3089\u304c\u300c\u3069\u308c\u3050\u3089\u3044\u985e\u4f3c\u3057\u3066\u3044\u308b\u304b\u300d\u3068\u3044\u3046\u300c\u985e\u4f3c\u5ea6\u300d\u3092\u610f\u5473\u3057\u307e\u3059\u30022\u3064\u306e\u5909\u91cf\u306e\u5f37\u5f31\u3092\u6570\u5024\u5316\u3057\u305f\u3082\u306e\u3092\u300c\u76f8\u95a2\u4fc2\u6570\u300d\u3068\u547c\u3073\u307e\u3059\u3002<\/strong><\/p>\n\n\n\n\u300c\u985e\u4f3c\u5ea6\u300d\u306e\u5f37\u3055\u3092\u300c\u22121\u304b\u30891\u300d\u307e\u3067\u306e\u7bc4\u56f2\u3092\u53d6\u308b\u6570\u5b57\u3068\u3057\u3066\u8868\u73fe\u3055\u308c\u3001\u76f8\u95a2\u4fc2\u6570\u304c1\u306b\u8fd1\u3065\u304f\u307b\u3069\u3001\u5f37\u3044\u6b63\u306e\u76f8\u95a2\u95a2\u4fc2\u306b\u306a\u308a\u3001-1\u306b\u8fd1\u3065\u304f\u307b\u3069\u5f37\u3044\u8ca0\u306e\u76f8\u95a2\u95a2\u4fc2\u306b\u306a\u308a\u30010\u306b\u8fd1\u3065\u304f\u307b\u3069\u76f8\u95a2\u95a2\u4fc2\u304c\u5f31\u304f\u306a\u308a\u307e\u3059<\/strong>\u3002<\/p>\n\n\n\n
![\"\"](\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2022\/01\/%E3%82%B9%E3%82%AF%E3%83%AA%E3%83%BC%E3%83%B3%E3%82%B7%E3%83%A7%E3%83%83%E3%83%88-2022-01-02-1.19.26-1024x531.png\")
<\/figure>\n\n\n\nPython\u3067\u76f8\u95a2\u4fc2\u6570\u3092\u7b97\u51fa\u3059\u308b\u306b\u306f\u3001pandas<\/strong>\u306e
corr<\/code>\u3092\u4f7f\u3044\u308b\u3053\u3068\u3067\u3001\u7c21\u5358\u306b\u76f8\u95a2\u4fc2\u6570\u3092\u7b97\u51fa\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\nPython\u3067\u76f8\u95a2\u4fc2\u6570\u3092\u7b97\u51fa\u3057\u3066\u307f\u3088\u3046<\/h1>\n\n\n\n
\u305d\u308c\u3067\u306f\u3001\u6570\u5b66\u306e\u70b9\u6570\u3068\u82f1\u8a9e\u306e\u70b9\u6570\u306e\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u76f8\u95a2\u4fc2\u6570\u3092\u6c42\u3081\u3066\u307f\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n
import numpy as np\nimport pandas as pd\n\nmath_score = [30, 30, 20, 90, 10]\nenglish_score = [70, 60, 70, 100, 80]\n\ndf_math = pd.DataFrame(math_score, columns=[\"math_score\"])\ndf_english = pd.DataFrame(english_score, columns=[\"english_score\"])\n\ndf = pd.concat([df_math, df_english], axis=1)\n\n\ncorr = df.corr()\nprint(corr)<\/code><\/pre>\n\n\n\n\u305d\u308c\u305e\u308c\u306e\u76f8\u95a2\u4fc2\u6570\u306f0.747741\u3068\u306a\u308a\u3001\uff11\u306b\u8fd1\u3044\u305f\u3081\u3001\u6b63\u306e\u76f8\u95a2\u304c\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/p>\n\n\n\n
corr()<\/code> \u3092\u7528\u3044\u308b\u3053\u3068\u3067\u3001\u5e83\u544a\u5ba3\u4f1d\u8cbb\u3068\u58f2\u4e0a\u306e\u76f8\u95a2\u5206\u6790\u306a\u3069\u306b\u9069\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n\u76f8\u95a2\u5206\u6790\u3092\u3059\u308b\u4e0a\u3067\u306e\u6ce8\u610f\u70b9<\/strong><\/h2>\n\n\n\n
\u3053\u306e\u8a18\u4e8b\u3067\u306f\u8a73\u7d30\u306f\u89e6\u308c\u307e\u305b\u3093\u304c\u3001\u76f8\u95a2\u5206\u6790\u306e\u7d50\u679c\u304b\u3089\u56e0\u679c\u95a2\u4fc2\u304c\u3042\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u70b9\u6ce8\u610f\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
\u4f8b\u3048\u3070\u3001\u30d3\u30fc\u30eb\u306e\u58f2\u4e0a\u3068\u30a2\u30a4\u30b9\u306e\u58f2\u4e0a\u306b\u9ad8\u3044\u6b63\u306e\u76f8\u95a2\u95a2\u4fc2\u304c\u3042\u3063\u305f\u305f\u3081\u3001\u30a2\u30a4\u30b9\u306e\u8ca9\u58f2\u3092\u62e1\u5927\u3059\u308b\u6226\u7565\u3092\u3068\u308c\u3070\u3001\u30d3\u30fc\u30eb\u3082\u58f2\u308c\u308b\u3060\u308d\u3046\uff01\u3068\u3044\u3046\u7d50\u8ad6\u306b\u306f\u306a\u308a\u307e\u305b\u3093\u3088\u306d\u3002\u3053\u308c\u3089\u306b\u306f\u56e0\u679c\u95a2\u4fc2\u306f\u306a\u304f\u3001\u300c\u6691\u3044\u65e5\u300d\u3068\u3044\u3046\u5171\u901a\u306e\u8981\u56e0\u304c\u96a0\u308c\u3066\u3044\u308b\u308f\u3051\u3067\u3059\u3002\uff08\u7591\u4f3c\u76f8\u95a2\uff09<\/p>\n\n\n\n
\u76f8\u95a2\u5206\u6790\u306f\u7b97\u51fa\u3055\u308c\u305f\u6570\u5024\u3092\u8aad\u307f\u53d6\u308c\u3070\u826f\u3044\u305f\u3081\u3001\u5206\u6790\u3057\u3084\u3059\u3044\u624b\u6cd5\u3067\u3059\u304c\u3001\u3053\u306e\u3088\u3046\u306b\u76f8\u95a2\u304c\u3042\u308b\u304b\u3089\u56e0\u679c\u304c\u3042\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u305f\u3081\u3001\u8aa4\u3063\u305f\u89e3\u91c8\u3092\u3057\u306a\u3044\u3088\u3046\u306b\u6ce8\u610f\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n
\u304a\u308f\u308a\u306b<\/h2>\n\n\n\n
\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001\u672c\u8a18\u4e8b\u306e\u6d41\u308c\u3068\u3057\u3066\u3001Python \u30c7\u30fc\u30bf\u5206\u6790\u3000\u5165\u9580\u3068\u3044\u3046\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u5206\u6790\u3068\u306f\u4f55\u304b\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306e\u624b\u9806\u3001Python\u306e\u30c7\u30fc\u30bf\u5206\u6790\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308bPandas\u3092\u7528\u3044\u3066\u30c7\u30fc\u30bf\u5206\u6790\u3092\u4f53\u9a13\u9802\u304d\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
\u3053\u306e\u8a18\u4e8b\u3067\u306f\u5b66\u3093\u3060\u30c7\u30fc\u30bf\u5206\u6790\u3068\u3057\u3066\u3001Pandas\u3092\u7528\u3044\u3066\u69d8\u3005\u306a\u57fa\u672c\u7d71\u8a08\u91cf\u3092\u7b97\u51fa\u3057\u305f\u308a\u3001\u30c7\u30fc\u30bf\u306e\u6b20\u640d\u5024\u51e6\u7406\u3092\u3057\u305f\u308a\u3001\u76f8\u95a2\u5206\u6790\u306a\u3069\u3082\u5b66\u3073\u307e\u3057\u305f\u3002<\/p>\n\n\n\n
Python\u306f\u5206\u6790\u30c4\u30fc\u30eb\u3068\u3057\u3066\u975e\u5e38\u306b\u91cd\u5b9d\u3057\u307e\u3059\u3002\u4eca\u56de\u306f\u30c7\u30fc\u30bf\u306e\u53ef\u8996\u5316\u306b\u95a2\u3057\u3066\u306e\u89e3\u8aac\u3084\u3001\u30c7\u30fc\u30bf\u5206\u6790\u74b0\u5883\u306eJupyter Notebook\u3084Jupyter Lab\u3001\u7d71\u8a08\u51e6\u7406\u3001\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u4e88\u6e2c\u30e2\u30c7\u30eb\u958b\u767a\u306a\u3069\u306f\u3057\u3066\u304a\u308a\u307e\u305b\u3093\u304c\u3001\u6c17\u306b\u306a\u3063\u305f\u65b9\u306fAI Academy<\/a>\u306a\u3069\u3067\u5b66\u3093\u3067\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n
AI Academy Bootcamp\u306e\u516c\u5f0fLINE<\/span>\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002\u53cb\u3060\u3061\u767b\u9332\u3057\u3066\u304f\u3060\u3055\u3063\u305f\u65b9\u306b\u7121\u6599\u8b1b\u7fa9\u3084\u7121\u6599\u52d5\u753b\u306e\u3054\u6848\u5185<\/span><\/strong>\u3001\u3044\u307e\u306a\u3089\u53d7\u8b1b\u5272\u5f15\u30af\u30fc\u30dd\u30f3\u306e\u30d7\u30ec\u30bc\u30f3\u30c8<\/span><\/strong>\u3082\u3054\u3056\u3044\u307e\u3059\u3002<\/p>\n\n\n\n
\u7121\u6599\u3067\u59cb\u3081\u308b\u30c1\u30e3\u30f3\u30b9\u3067\u3059\uff01<\/span><\/strong><\/p>\n\n\n\n
![\"\"](\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2024\/09\/\u7121\u6599\u52d5\u753b_Media-1024x596.png\")
<\/a><\/figure>\n\n\n\n\nLINE\u53cb\u3060\u3061\u767b\u9332 \u25b6\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u30b3\u30fc\u30b9\u25b6\u53d7\u8b1b\u5272\u5f15\u30af\u30fc\u30dd\u30f3 \u7121\u6599\u52d5\u753b<\/a><\/div>\n<\/div>\n<\/div>\n\n\n<\/p>\n\n\n\n
\u95a2\u9023\u8a18\u4e8b<\/h3>\n\n\n\n
\u95a2\u9023\uff1a\u30c7\u30fc\u30bf\u5206\u6790\u3067\u5fc5\u9808\u306ePandas\u3092\u5165\u9580\u3057\u3088\u3046\uff01<\/a>
\u95a2\u9023\uff1aDataFrame\u306e[]\u3068[[]]\u306b\u95a2\u3057\u3066<\/a>
\u95a2\u9023\uff1aPandas 2\u3064\u306e\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u4e2d\u304b\u3089\u91cd\u8907\u3057\u306a\u3044\u30c7\u30fc\u30bf\u306e\u307f\u3092\u62bd\u51fa\u3059\u308b<\/a>
\u95a2\u9023\uff1aPandas \u7279\u5b9a\u306e\u6587\u5b57\u5217\u3092\u542b\u3080\u884c\u3092\u62bd\u51fa\u3059\u308b<\/a>
\u95a2\u9023\uff1aPandas\u30c7\u30fc\u30bf\u7d50\u5408\u5165\u9580 merge\u3001join\u3001concat \u306e\u9055\u3044\u3092\u89e3\u8aac\uff01<\/a><\/p>\n\n\n\n<\/p>\n\n\n\n
Python\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3092\u52b9\u7387\u3088\u304f\u5b66\u3076\u306b\u306f\uff1f<\/h1>\n\n\n\n
\u30c7\u30fc\u30bf\u5206\u6790\u3092\u52b9\u7387\u3088\u304f\u5b66\u3076\u306b\u306f\u3001\u666e\u6bb5\u304b\u3089Python\u3092\u5229\u7528\u3057\u3066\u3044\u308b\u73fe\u5f79\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3084\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u8cea\u554f\u3067\u304d\u308b\u74b0\u5883\u3067\u5b66\u3076\u3053\u3068\u3067\u3059\u3002
\u8cea\u554f\u3057\u653e\u984c\u304b\u3064\u3001\u4f53\u7cfb\u7684\u306b\u5b66\u3079\u308b\u52d5\u753b\u30b3\u30f3\u30c6\u30f3\u30c4\u3067\u30c7\u30fc\u30bf\u5206\u6790\u6280\u8853\u3092\u5b66\u3073\u305f\u3044\u65b9\u306f\u3001\u30aa\u30f3\u30e9\u30a4\u30f3\u3067\u597d\u304d\u306a\u6642\u9593\u306b\u52c9\u5f37\u3067\u304d\u308bAI Academy Bootcamp<\/a>\u304c\u30aa\u30b9\u30b9\u30e1\u3067\u3059\u3002\u53d7\u8b1b\u6599\u3082\u696d\u754c\u6700\u5b89\u5024\u306e35,000\u5186\uff08\uff16\u30f6\u6708\u9593\u8cea\u554f\u3057\u653e\u984c\uff0b\u30aa\u30ea\u30b8\u30ca\u30eb\u306e\u52d5\u753b\u30b3\u30f3\u30c6\u30f3\u30c4\u3001\u30c6\u30ad\u30b9\u30c8\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u5229\u7528\u53ef\u80fd\uff09\u306a\u306e\u3067\u3001\u662f\u975e\u3054\u6d3b\u7528\u304f\u3060\u3055\u3044\u3002AI Academy Bootcamp<\/a> \u3067\u306f\u3001\u672a\u7d4c\u9a13\u304b\u3089\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3084\u6a5f\u68b0\u5b66\u7fd2\u30a8\u30f3\u30b8\u30cb\u30a2\u3092\u76ee\u6307\u3059\u65b9\u5411\u3051\u306e\u30d7\u30e9\u30f3\u3082\u63d0\u4f9b\u3057\u3066\u304a\u308a\u307e\u3059\u3002\u8a73\u7d30\u306f\u3053\u3061\u3089<\/a><\/p>\n\n\n\n<\/a><\/figure>\n\n\n\n\u304a\u3059\u3059\u3081\u8a18\u4e8b<\/a><\/h2>\n\n\n\n
![\"\"](\"https:\/\/aiacademy.jp\/media\/wp-content\/uploads\/2022\/02\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2022-02-14-15.23.30.png\")
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