{"id":2665,"date":"2023-07-21T06:47:49","date_gmt":"2023-07-21T06:47:49","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab-fillna-%e4%b8%8e%e5%b9%b3%e5%9d%87%e5%80%bc\/"},"modified":"2023-07-21T06:47:49","modified_gmt":"2023-07-21T06:47:49","slug":"%e7%86%8a%e7%8c%ab-fillna-%e4%b8%8e%e5%b9%b3%e5%9d%87%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e7%86%8a%e7%8c%ab-fillna-%e4%b8%8e%e5%b9%b3%e5%9d%87%e5%80%bc\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u7528\u5e73\u5747\u503c\u586b\u5145 nan \u503c\uff083 \u4e2a\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>fillna()<\/strong>\u51fd\u6570\u6765\u66ff\u6362 pandas DataFrame \u4e2d\u7684 NaN \u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u4f7f\u7528\u6b64\u529f\u80fd\u7684\u4e09\u79cd\u5e38\u89c1\u65b9\u6cd5\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd51\uff1a\u7528\u5e73\u5747\u503c\u586b\u5145\u5217\u4e2d\u7684NaN\u503c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">col1<\/span> '] = df[' <span style=\"color: #ff0000;\">col1<\/span> ']. <span style=\"color: #3366ff;\">fillna<\/span> (df[' <span style=\"color: #ff0000;\">col1<\/span> ']. <span style=\"color: #3366ff;\">mean<\/span> ())<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e8c\uff1a\u7528\u5e73\u5747\u503c\u586b\u5145\u591a\u5217\u4e2d\u7684NaN\u503c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ']] = df[[' <span style=\"color: #ff0000;\">col1<\/span> ', ' <span style=\"color: #ff0000;\">col2<\/span> ']]. <span style=\"color: #3366ff;\">fillna<\/span> (df[[' <span style=\"color: #ff0000;\">col1<\/span> ',' <span style=\"color: #ff0000;\">col2<\/span> ']]. <span style=\"color: #3366ff;\">mean<\/span> ())<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd53\uff1a\u7528\u5e73\u5747\u503c\u586b\u5145\u6240\u6709\u5217\u4e2d\u7684NaN\u503c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">fillna<\/span> ( <span style=\"color: #3366ff;\">df.mean<\/span> ())<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u4ee5\u4e0b pandas DataFrame \u7684\u6bcf\u79cd\u65b9\u6cd5\uff1a<\/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;\">#create DataFrame with some NaN values<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">rating<\/span> ': [np.nan, 85, np.nan, 88, 94, 90, 76, 75, 87, 86],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [25, np.nan, 14, 16, 27, 20, 12, 15, 14, 19],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, np.nan, 5, 7, 6, 9, 9, 5],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n<span style=\"color: #008080;\">\n#view DataFrame<\/span>\ndf\n\n        rating points assists rebounds\n0 NaN 25.0 5.0 11\n1 85.0 NaN 7.0 8\n2 NaN 14.0 7.0 10\n3 88.0 16.0 NaN 6\n4 94.0 27.0 5.0 6\n5 90.0 20.0 7.0 9\n6 76.0 12.0 6.0 6\n7 75.0 15.0 9.0 10\n8 87.0 14.0 9.0 10\n9 86.0 19.0 5.0 7\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b1\uff1a\u7528\u5e73\u5747\u503c\u586b\u5145\u5217\u4e2d\u7684NaN\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u7528<strong>\u8bc4\u5206<\/strong>\u5217\u7684\u5e73\u5747\u503c\u586b\u5145<strong>\u8bc4\u5206<\/strong>\u5217\u4e2d\u7684NaN\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fill NaNs with column mean in 'rating' column<\/span>\n<span style=\"color: #008080;\"><span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">rating<\/span> '] = df[' <span style=\"color: #ff0000;\">rating<\/span> ']. <span style=\"color: #3366ff;\">fillna<\/span> (df[' <span style=\"color: #ff0000;\">rating<\/span> ']. <span style=\"color: #3366ff;\">mean<\/span> ())\n\n<\/span>#view updated DataFrame<\/span>\ndf\n\n\trating points assists rebounds\n0 85.125 25.0 5.0 11\n1 85,000 NaN 7.0 8\n2 85.125 14.0 7.0 10\n3 88,000 16.0 NaN 6\n4 94,000 27.0 5.0 6\n5 90,000 20.0 7.0 9\n6 76,000 12.0 6.0 6\n7 75,000 15.0 9.0 10\n8 87,000 14.0 9.0 10\n9 86,000 19.0 5.0 7\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u8bc4\u7ea7<\/strong>\u5217\u4e2d\u7684\u5e73\u5747\u503c\u4e3a<strong>85.125<\/strong> \uff0c\u56e0\u6b64<strong>\u8bc4\u7ea7<\/strong>\u5217\u4e2d\u7684\u6bcf\u4e2a NaN \u503c\u90fd\u7528\u8be5\u503c\u586b\u5145\u3002<\/span><\/p>\n<h3><strong>\u793a\u4f8b2\uff1a<\/strong><span style=\"color: #000000;\"><strong>\u7528\u5e73\u5747\u503c\u586b\u5145\u591a\u5217\u4e2d\u7684NaN\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5404\u81ea\u7684\u5217\u5e73\u5747\u503c\u586b\u5145<strong>\u8bc4\u7ea7<\/strong>\u548c<strong>\u79ef\u5206<\/strong>\u5217\u4e2d\u7684 NaN \u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fill NaNs with column means in 'rating' and 'points' columns<\/span>\ndf[[' <span style=\"color: #ff0000;\">rating<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ']] = df[[' <span style=\"color: #ff0000;\">rating<\/span> ', ' <span style=\"color: #ff0000;\">points<\/span> ']]. <span style=\"color: #3366ff;\">fillna<\/span> (df[[' <span style=\"color: #ff0000;\">rating<\/span> ',' <span style=\"color: #ff0000;\">points<\/span> ']]. <span style=\"color: #3366ff;\">mean<\/span> ())\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n\trating points assists rebounds\n0 85.125 25.0 5.0 11\n1 85,000 18.0 7.0 8\n2 85.125 14.0 7.0 10\n3 88,000 16.0 NaN 6\n4 94,000 27.0 5.0 6\n5 90,000 20.0 7.0 9\n6 76,000 12.0 6.0 6\n7 75,000 15.0 9.0 10\n8 87,000 14.0 9.0 10\n9 86,000 19.0 5.0 7\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6210\u7ee9<\/strong>\u548c<strong>\u5206\u6570<\/strong>\u5217\u4e2d\u7684 NaN \u503c\u5df2\u586b\u5145\u4e3a\u5176\u5404\u81ea\u7684\u5217\u5e73\u5747\u503c\u3002<\/span><\/p>\n<h3><strong>\u793a\u4f8b3\uff1a\u7528\u5e73\u5747\u503c\u586b\u5145\u6240\u6709\u5217\u4e2d\u7684NaN\u503c<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u7528\u5217\u5e73\u5747\u503c\u586b\u5145\u6bcf\u5217\u4e2d\u7684 NaN \u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fill NaNs with column means in each column<\/span> \ndf = df. <span style=\"color: #3366ff;\">fillna<\/span> ( <span style=\"color: #3366ff;\">df.mean<\/span> ())\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n        rating points assists rebounds\n0 85.125 25.0 5.000000 11\n1 85,000 18.0 7,000000 8\n2 85.125 14.0 7.000000 10\n3 88,000 16.0 6.666667 6\n4 94,000 27.0 5,000000 6\n5 90,000 20.0 7,000000 9\n6 76,000 12.0 6,000000 6\n7 75,000 15.0 9,000000 10\n8 87,000 14.0 9,000000 10\n9 86,000 19.0 5,000000 7\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6bcf\u5217\u4e2d\u7684 NaN \u503c\u5df2\u7528\u5176\u5217\u7684\u5e73\u5747\u503c\u586b\u5145\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.fillna.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230<strong>fillna()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u5728\u7ebf\u6587\u6863\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/pandas-\u8ba1\u7b97\u7f3a\u5931\u503c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7edf\u8ba1pandas\u4e2d\u7684\u7f3a\u5931\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u653e\u4e0b\u718a\u732b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5220\u9664 Pandas \u4e2d\u5305\u542b NaN \u503c\u7684\u884c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u5220\u9664\u5177\u6709\u503c\u7684\u884c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5220\u9664 Pandas \u4e2d\u5305\u542b\u7279\u5b9a\u503c\u7684\u884c<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528fillna()\u51fd\u6570\u6765\u66ff\u6362 pandas DataFrame \u4e2d\u7684 NaN \u503c\u3002 \u4ee5\u4e0b\u662f\u4f7f\u7528\u6b64\u529f\u80fd\u7684 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