{"id":3605,"date":"2023-07-16T13:48:44","date_gmt":"2023-07-16T13:48:44","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e7%b3%bb%e5%88%97%e3%81%ae%e3%83%92%e3%82%b9%e3%83%88%e3%82%af%e3%82%99%e3%83%a9%e3%83%a0\/"},"modified":"2023-07-16T13:48:44","modified_gmt":"2023-07-16T13:48:44","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e7%b3%bb%e5%88%97%e3%81%ae%e3%83%92%e3%82%b9%e3%83%88%e3%82%af%e3%82%99%e3%83%a9%e3%83%a0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e7%b3%bb%e5%88%97%e3%81%ae%e3%83%92%e3%82%b9%e3%83%88%e3%82%af%e3%82%99%e3%83%a9%e3%83%a0\/","title":{"rendered":"Pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

 my_series. plot<\/span> (kind=' hist<\/span> ')\n<\/strong><\/pre>\n
\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
\u6ce8<\/strong>: \u30aa\u30f3\u30e9\u30a4\u30f3 Python \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4f7f\u7528\u3057\u3066\u3044\u3066\u3001\u3053\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3082\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u304c\u8868\u793a\u3055\u308c\u306a\u3044\u5834\u5408\u306f\u3001\u6700\u521d\u306b%matplotlib online<\/a>\u3092\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 1: \u983b\u5ea6\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u983b\u5ea6\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createSeries\n<\/span>data = pd. Series<\/span> ([2, 2, 2, 3, 3, 4, 5, 7, 8, 9, 12, 12, 14, 15, 16, 16, 18,\n                    19, 22, 22, 22, 25, 26, 27, 30, 33, 33, 33, 34, 35])\n\n#create histogram from Series\n<\/span>data. plot<\/span> (kind=' hist<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 X \u8ef8\u306f pandas \u30b7\u30ea\u30fc\u30ba\u306e\u5024\u3092\u8868\u793a\u3057\u3001Y \u8ef8\u306f\u5404\u5024\u306e\u983b\u5ea6\u3092\u8868\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 2: \u5bc6\u5ea6\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h2>\n
pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u5bc6\u5ea6\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001 plot()<\/strong>\u95a2\u6570\u3067density=True<\/strong>\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createSeries\n<\/span>data = pd. Series<\/span> ([2, 2, 2, 3, 3, 4, 5, 7, 8, 9, 12, 12, 14, 15, 16, 16, 18,\n                    19, 22, 22, 22, 25, 26, 27, 30, 33, 33, 33, 34, 35])\n\n#create histogram from Series\n<\/span>data. plot<\/span> (kind=' hist<\/span> ', density= True<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 X \u8ef8\u306b\u306f\u30d1\u30f3\u30c0\u7cfb\u5217\u306e\u5024\u304c\u8868\u793a\u3055\u308c\u3001Y \u8ef8\u306b\u306f\u5bc6\u5ea6\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n
\u4f8b 3: \u30ab\u30b9\u30bf\u30e0 \u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h2>\n
\u6700\u5f8c\u306b\u3001\u6b21\u306e\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0 \u30d0\u30fc\u306e\u8272\u3001\u4f7f\u7528\u3059\u308b\u30d3\u30f3\u306e\u6570\u3001\u8ef8\u30e9\u30d9\u30eb\u3001\u30d7\u30ed\u30c3\u30c8 \u30bf\u30a4\u30c8\u30eb\u3092\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createSeries\n<\/span>data = pd. Series<\/span> ([2, 2, 2, 3, 3, 4, 5, 7, 8, 9, 12, 12, 14, 15, 16, 16, 18,\n                    19, 22, 22, 22, 25, 26, 27, 30, 33, 33, 33, 34, 35])\n\n#create histogram with custom color, edgecolor, and number of bins\n<\/span>my_hist = data. plot<\/span> (kind=' hist<\/span> ', color=' red<\/span> ', edgecolor=' black<\/span> ', bins= 20<\/span> )\n\n#add x-axis label\n<\/span>my_hist. set_xlabel<\/span> (' Values<\/span> ')\n\n#add title\n<\/span>my_hist. set_title<\/span> (' Distribution of Values<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 Matplotlib \u3067\u8907\u6570\u306e\u7dda\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5<\/a>
Pandas DataFrame \u304b\u3089\u7bb1\u3072\u3052\u56f3\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a>
\u8907\u6570\u306e Pandas \u5217\u3092\u68d2\u30b0\u30e9\u30d5\u306b\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002 my_series. plot (kind=’ hist ‘) \u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u69cb\u6587\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002 \u6ce8: \u30aa\u30f3\u30e9\u30a4\u30f3 P […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3605","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nPandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ja\/\u30cf\u309a\u30f3\u30bf\u3099\u7cfb\u5217\u306e\u30d2\u30b9\u30c8\u30af\u3099\u30e9\u30e0\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u30b7\u30ea\u30fc\u30ba\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 - 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