{"id":3851,"date":"2023-07-15T03:52:31","date_gmt":"2023-07-15T03:52:31","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%9d%a1%e4%bb%b6%e4%bb%98%e3%81%8d%e6%9b%b8%e5%bc%8f%e8%a8%ad%e5%ae%9a\/"},"modified":"2023-07-15T03:52:31","modified_gmt":"2023-07-15T03:52:31","slug":"%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%9d%a1%e4%bb%b6%e4%bb%98%e3%81%8d%e6%9b%b8%e5%bc%8f%e8%a8%ad%e5%ae%9a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%83%8f%e3%82%9a%e3%83%b3%e3%82%bf%e3%82%99%e3%81%ae%e6%9d%a1%e4%bb%b6%e4%bb%98%e3%81%8d%e6%9b%b8%e5%bc%8f%e8%a8%ad%e5%ae%9a\/","title":{"rendered":"\u30d1\u30f3\u30c0: \u30bb\u30eb\u306b\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u3092\u9069\u7528\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

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df.style.applymap()<\/b>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001pandas DataFrame \u306e\u30bb\u30eb\u306b\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\u3092\u9069\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n

\u6b21\u306e\u4f8b\u306f\u3001\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n

\u4f8b: Pandas \u306e\u30bb\u30eb\u306b\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b<\/strong><\/span><\/h2>\n

\u3055\u307e\u3056\u307e\u306a\u30d0\u30b9\u30b1\u30c3\u30c8\u30dc\u30fc\u30eb\u9078\u624b\u306b\u95a2\u3059\u308b\u60c5\u5831\u3092\u542b\u3080\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [4, 5, 5, 4, 9, 12, 11, 8],\n                   ' rebounds<\/span> ': [3, 9, 12, 4, 4, 9, 8, 2]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   points assists rebounds\n0 18 4 3\n1 22 5 9\n2 19 5 12\n3 14 4 4\n4 14 9 4\n5 11 12 9\n6 20 11 8\n7 28 8 2\n<\/strong><\/pre>\n
\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u300110 \u672a\u6e80\u306e\u5024\u3092\u6301\u3064 DataFrame \u5185\u306e\u5404\u30bb\u30eb\u306b\u8584\u7dd1\u8272\u306e\u80cc\u666f\u3092\u9069\u7528\u3067\u304d\u307e\u3059\u3002<\/span> <\/p>\n
 #define function for conditional formatting\n<\/span>def<\/span> cond_formatting<\/span> (x):\n    if<\/span> x < 10<\/span> :\n        return<\/span> ' background-color: lightgreen<\/span> '\n    else<\/span> :\n        return<\/span> None<\/span>\n    \n#display DataFrame with conditional formatting applied    \n<\/span>df. style<\/span> . applymap<\/span> (cond_formatting)<\/span>\n<\/span><\/strong><\/pre>\n
\"\u30d1\u30f3\u30c0\u306e\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\"<\/p>\n
 DataFrame \u5185\u306e\u5024\u304c 10 \u672a\u6e80\u306e\u3059\u3079\u3066\u306e\u30bb\u30eb\u306e\u80cc\u666f\u304c\u8584\u7dd1\u8272\u306b\u306a\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
\u6ce8<\/strong>: Jupyter \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3067\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\u304c\u6a5f\u80fd\u3057\u306a\u3044\u5834\u5408\u306f\u3001\u5fc5\u305a\u6700\u521d\u306b%pip install Jinja2<\/strong>\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n
 color<\/strong>\u5f15\u6570\u3068font-weight<\/strong>\u5f15\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u3088\u308a\u8907\u96d1\u306a\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\u3092\u9069\u7528\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u6b21\u306e\u4f8b\u306f\u3001\u3053\u308c\u3092\u884c\u3046\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span> <\/p>\n
 #define function for conditional formatting\n<\/span>def<\/span> cond_formatting<\/span> (x):\n    if<\/span> x < 10<\/span> :\n        return<\/span> ' background-color: lightgreen; color:red; font-weight:bold<\/span> '\n    elif<\/span> x < 15<\/span> :\n        return<\/span> ' background-color:yellow<\/span> '\n    else<\/span> :<\/span>\n        return None<\/span>\n    \n#display DataFrame with conditional formatting applied    \n<\/span>df. style<\/span> . applymap<\/span> (cond_formatting)<\/span><\/span><\/strong> <\/pre>\n
\"\u8907\u6570\u306e\u6761\u4ef6\u3092\u4f7f\u7528\u3057\u305f\u30d1\u30f3\u30c0\u306e\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\"<\/p>\n
\u3053\u306e\u4f8b\u3067\u306f\u3001\u6761\u4ef6\u4ed8\u304d\u66f8\u5f0f\u8a2d\u5b9a\u95a2\u6570\u304c\u3069\u306e\u3088\u3046\u306b\u6a5f\u80fd\u3057\u305f\u304b\u3092\u6b21\u306b\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n