{"id":895,"date":"2023-07-28T09:32:44","date_gmt":"2023-07-28T09:32:44","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%ae%e1%84%83%e1%85%a9%e1%86%bc-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%85\/"},"modified":"2023-07-28T09:32:44","modified_gmt":"2023-07-28T09:32:44","slug":"%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%ae%e1%84%83%e1%85%a9%e1%86%bc-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%85","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%ae%e1%84%83%e1%85%a9%e1%86%bc-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%85\/","title":{"rendered":"Pandas\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \ub2e8\uc77c \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert \"assists\" column from string to float<\/span>\ndf[' <span style=\"color: #ff0000;\">assists<\/span> '] = df[' <span style=\"color: #ff0000;\">assists<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (float)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \uc5ec\ub7ec \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert both \"assists\" and \"rebounds\" from strings to floats\n<\/span>df[[' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ']] = df[[' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ']]. <span style=\"color: #3366ff;\">astype<\/span> (float)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 3: \ubaa8\ub4e0 \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert all columns to float\n<\/span>df = df. <span style=\"color: #3366ff;\">astype<\/span> (float)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [np.nan, 12, 15, 14, 19],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': ['5', np.nan, '7', '9', '12'],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': ['11', '8', '10', '6', '6']})  \n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n \tpoints assists rebounds\n0 NaN 5.0 11\n1 12.0 NaN 8\n2 15.0 7.0 10\n3 14.0 9.0 6\n4 19.0 12.0 6\n\n<span style=\"color: #008080;\">#view column data types\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<span style=\"color: #000000;\">float64 points\nassists object\nrebound object\ndtype:object<\/span><\/span><\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608 1: \ub2e8\uc77c \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc740 <strong>\ub3c4\uc6b0\ubbf8<\/strong> \uc5f4\uc744 \ubb38\uc790\uc5f4\uc5d0\uc11c \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert \"assists\" from string to float<\/span>\ndf[' <span style=\"color: #ff0000;\">assists<\/span> '] = df[' <span style=\"color: #ff0000;\">assists<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (float)\n\n<span style=\"color: #008080;\">#view column data types<\/span>\ndf. <span style=\"color: #3366ff;\">dtypes<\/span>\n\nfloat64 points\nassist float64\nrebound object\ndtype:object\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608 2: \uc5ec\ub7ec \uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc740 <strong>\ub3c4\uc6b0\ubbf8<\/strong> \ubc0f <strong>\ubc14\uc6b4\uc2a4<\/strong> \uc5f4\uc744 \ubb38\uc790\uc5f4\uc5d0\uc11c \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert both \"assists\" and \"rebounds\" from strings to floats\n<\/span>df[[' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ']] = df[[' <span style=\"color: #ff0000;\">assists<\/span> ', ' <span style=\"color: #ff0000;\">rebounds<\/span> ']]. <span style=\"color: #3366ff;\">astype<\/span> (float)\n\n<span style=\"color: #008080;\">#view column data types\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<\/span>float64 points\nassist float64\nrebounds float64\ndtype:object\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 3: \ubaa8\ub4e0 \uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc740 DataFrame\uc758 \ubaa8\ub4e0 \uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert all columns to float\n<\/span>df = df. <span style=\"color: #3366ff;\">astype<\/span> (float)\n\n<span style=\"color: #008080;\">#view column data types\n<\/span>df. <span style=\"color: #3366ff;\">dtypes\n\n<\/span>float64 points\nassist float64\nrebounds float64\ndtype:object<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\ubcf4\ub108\uc2a4: \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\uace0 NaN \uac12\uc744 \ucc44\uc6c1\ub2c8\ub2e4.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc740 <strong>\ub3c4\uc6b0\ubbf8<\/strong> \uc5f4\uc744 \ubb38\uc790\uc5f4\uc5d0\uc11c \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ub3d9\uc2dc\uc5d0 NaN \uac12\uc744 0\uc73c\ub85c \ucc44\uc6b0\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#convert \"assists\" from string to float and fill in NaN values with zeros\n<\/span>df[' <span style=\"color: #ff0000;\">assists<\/span> '] = df[' <span style=\"color: #ff0000;\">assists<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (float). <span style=\"color: #3366ff;\">fillna<\/span> (0)\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #000000;\">df\n<\/span>\n        points assists rebounds\n0 NaN 5.0 11\n1 12.0 0.0 8\n2 15.0 7.0 10\n3 14.0 9.0 6\n4 19.0 12.0 6<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n<p> \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1100\u1162\u11a8\u110e\u1166\u1105\u1173\u11af-int\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: \uac1d\uccb4\ub97c \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-float\u1105\u1173\u11af-int\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">Pandas: \ubd80\ub3d9 \uc18c\uc218\uc810\uc744 \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u110b\u1167\u11af\u110b\u1173\u11af-numpy-\u1107\u1162\u110b\u1167\u11af\u1105\u1169\/\" target=\"_blank\" rel=\"noopener\">Pandas: \ud2b9\uc815 \uc5f4\uc744 NumPy \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ub2e8\uc77c \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658 #convert &#8220;assists&#8221; column from string to float df[&#8216; assists &#8216;] = df[&#8216; assists &#8216;]. astype (float) \ubc29\ubc95 2: \uc5ec\ub7ec \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658 #convert both &#8220;assists&#8221; and &#8220;rebounds&#8221; from strings to floats df[[&#8216; assists &#8216;, &#8216; rebounds &#8216;]] [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-895","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Pandas DataFrame\uc758 \ubb38\uc790\uc5f4 \uc5f4\uc744 \ubd80\ub3d9 \uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\ub2c8\ub2e4.\" \/>\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\/ko\/\u1106\u116e\u11ab\u110c\u1161\u110b\u1167\u11af\u110b\u1173\u11af-\u1107\u116e\u1103\u1169\u11bc-\u1111\u1162\u11ab\u1103\u1165\u1105\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \ubb38\uc790\uc5f4\uc744 \ubd80\ub3d9 \uc18c\uc218\uc810\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Pandas DataFrame\uc758 \ubb38\uc790\uc5f4 \uc5f4\uc744 \ubd80\ub3d9 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