{"id":2371,"date":"2023-07-22T13:41:48","date_gmt":"2023-07-22T13:41:48","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%82%b7%e3%83%bc%e3%83%9b%e3%82%99%e3%83%bc%e3%83%b3%e7%a9%8d%e3%81%bf%e4%b8%8a%e3%81%91%e3%82%99%e6%a3%92%e3%82%af%e3%82%99%e3%83%a9%e3%83%95\/"},"modified":"2023-07-22T13:41:48","modified_gmt":"2023-07-22T13:41:48","slug":"%e3%82%b7%e3%83%bc%e3%83%9b%e3%82%99%e3%83%bc%e3%83%b3%e7%a9%8d%e3%81%bf%e4%b8%8a%e3%81%91%e3%82%99%e6%a3%92%e3%82%af%e3%82%99%e3%83%a9%e3%83%95","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%82%b7%e3%83%bc%e3%83%9b%e3%82%99%e3%83%bc%e3%83%b3%e7%a9%8d%e3%81%bf%e4%b8%8a%e3%81%91%e3%82%99%e6%a3%92%e3%82%af%e3%82%99%e3%83%a9%e3%83%95\/","title":{"rendered":"Seaborn \u3067\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7)"},"content":{"rendered":"

<\/p>\n

\n

\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u306f\u3001<\/strong>\u591a\u6570\u306e\u30b5\u30d6\u30d0\u30fc\u306b\u5206\u5272\u3055\u308c\u305f\u68d2\u3092\u4f7f\u7528\u3057\u3066\u3001\u8907\u6570\u306e\u5909\u6570\u306e\u5024\u3092\u4e00\u5ea6\u306b\u8996\u899a\u5316\u3059\u308b\u30b0\u30e9\u30d5\u306e\u4e00\u7a2e\u3067\u3059\u3002<\/span><\/p>\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001 Seaborn<\/a>\u30c7\u30fc\u30bf\u8996\u899a\u5316\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u3001Python \u3067\u6b21\u306e\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u306e\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/span> <\/p>\n

\"Seaborn<\/p>\n

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

\u307e\u305a\u3001\u6708\u66dc\u65e5\u304b\u3089\u91d1\u66dc\u65e5\u307e\u3067\u306e\u671d\u3068\u5915\u65b9\u306b\u30ec\u30b9\u30c8\u30e9\u30f3\u304c\u53d7\u3051\u53d6\u308b\u9867\u5ba2\u306e\u5408\u8a08\u6570\u3092\u793a\u3059\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' Day<\/span> ': ['Mon', 'Tue', 'Wed', 'Thur', 'Fri'],\n                   ' Morning<\/span> ': [44, 46, 49, 59, 54],\n                   ' Evening<\/span> ': [33, 46, 50, 49, 60]})\n\n#view DataFrame\n<\/span>df\n\n\tDay Morning Evening\n0 My 44 33\n1 Kills 46 46\n2 Wed 49 50\n3 Thur 59 49\n4 Fri 54 60\n<\/span><\/span><\/strong><\/pre>\n
\u30b9\u30c6\u30c3\u30d7 2: \u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3057\u3001\u6bce\u65e5\u306e\u9867\u5ba2\u306e\u5408\u8a08\u6570\u3092\u8996\u899a\u5316\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#set seaborn plotting aesthetics\n<\/span>sns. set<\/span> (style=' white<\/span> ')\n\n#create stacked bar chart\n<\/span>df. set_index<\/span> (' Day<\/span> '). plot<\/span> (kind=' bar<\/span> ', stacked= True<\/span> , color=[' steelblue<\/span> ', ' red<\/span> '])\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 X \u8ef8\u306f\u66dc\u65e5\u3092\u8868\u793a\u3057\u3001\u30d0\u30fc\u306f\u6bce\u65e5\u671d\u3068\u5915\u65b9\u306b\u30ec\u30b9\u30c8\u30e9\u30f3\u3092\u8a2a\u308c\u305f\u9867\u5ba2\u306e\u6570\u3092\u8868\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u30b9\u30c6\u30c3\u30d7 3: \u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u3092\u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3059\u308b<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u8ef8\u30bf\u30a4\u30c8\u30eb\u3092\u8ffd\u52a0\u3057\u3001\u30b0\u30ed\u30fc\u30d0\u30eb \u30bf\u30a4\u30c8\u30eb\u3092\u8ffd\u52a0\u3057\u3001X \u8ef8\u30e9\u30d9\u30eb\u3092\u56de\u8ee2\u3057\u3066\u8aad\u307f\u3084\u3059\u304f\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\nimport<\/span> seaborn as<\/span> sns\n\n#set seaborn plotting aesthetics\n<\/span>sns. set<\/span> (style=' white<\/span> ')\n\n#create stacked bar chart\n<\/span>df. set_index<\/span> (' Day<\/span> '). plot<\/span> (kind=' bar<\/span> ', stacked= True<\/span> , color=[' steelblue<\/span> ', ' red<\/span> '])\n\n#add overall title\n<\/span>plt. title<\/span> (' Customers by Time & Day of Week<\/span> ', fontsize= 16<\/span> )\n\n#add axis titles\n<\/span>plt. xlabel<\/span> (' Day of Week<\/span> ')\nplt. ylabel<\/span> (' Number of Customers<\/span> ')\n\n#rotate x-axis labels\n<\/span>plt. xticks<\/span> (rotation= 45<\/span> )\n<\/span><\/span><\/strong><\/pre>\n
\"Seaborn<\/p>\n
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Seaborn \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30d3\u30b8\u30e5\u30a2\u30e9\u30a4\u30bc\u30fc\u30b7\u30e7\u30f3\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 Seaborn \u3067\u5186\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a>
Seaborn \u3067\u6642\u7cfb\u5217\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a>
Seaborn \u3067\u9762\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u306f\u3001\u591a\u6570\u306e\u30b5\u30d6\u30d0\u30fc\u306b\u5206\u5272\u3055\u308c\u305f\u68d2\u3092\u4f7f\u7528\u3057\u3066\u3001\u8907\u6570\u306e\u5909\u6570\u306e\u5024\u3092\u4e00\u5ea6\u306b\u8996\u899a\u5316\u3059\u308b\u30b0\u30e9\u30d5\u306e\u4e00\u7a2e\u3067\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001 Seaborn\u30c7\u30fc\u30bf\u8996\u899a\u5316\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3057\u3066\u3001Python \u3067\u6b21\u306e\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9 […]<\/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-2371","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\nSeaborn \u3067\u7a4d\u307f\u4e0a\u3052\u68d2\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5 (\u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7) - 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\u6ce8<\/strong>: \u3053\u306e\u30d7\u30ed\u30c3\u30c8\u3067\u306f\u6d77\u6d0b\u30b9\u30bf\u30a4\u30eb\u3092\u300c\u767d\u300d\u306b\u8a2d\u5b9a\u3057\u307e\u3057\u305f\u304c\u3001\u6d77\u6d0b\u30d7\u30ed\u30c3\u30c8\u306e\u7f8e\u3057\u3055\u306e\u5b8c\u5168\u306a\u30ea\u30b9\u30c8\u306f\u3053\u306e\u30da\u30fc\u30b8<\/a>\u3067\u898b\u3064\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n