{"id":1980,"date":"2023-07-24T05:16:11","date_gmt":"2023-07-24T05:16:11","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%b9%d9%85%d9%88%d8%af-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7\/"},"modified":"2023-07-24T05:16:11","modified_gmt":"2023-07-24T05:16:11","slug":"%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%b9%d9%85%d9%88%d8%af-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%b9%d9%85%d9%88%d8%af-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (4 \u0623\u0645\u062b\u0644\u0629)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.drop.html\" target=\"_blank\" rel=\"noopener\">drop()<\/a> \u0644\u0625\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop one column by name<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">column_name<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#drop multiple columns by name\n<\/span>df. <span style=\"color: #3366ff;\">drop<\/span> ([' <span style=\"color: #ff0000;\">column_name1<\/span> ', ' <span style=\"color: #ff0000;\">column_name2<\/span> '], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#drop one column by index\n<\/span>df. <span style=\"color: #3366ff;\">drop<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> [[0]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n\n<span style=\"color: #008080;\">#drop multiple columns by index\n<\/span>df. <span style=\"color: #3366ff;\">drop<\/span> (df.columns[[0,2,5]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0645\u0627 \u064a\u0644\u064a:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u062d\u062f\u062f <strong>\u0648\u0633\u064a\u0637\u0629 \u0627\u0644\u0645\u062d\u0648\u0631<\/strong> \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0633\u064a\u062a\u0645 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 (0) \u0623\u0648 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 (1).<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u062d\u062f\u062f \u0627\u0644\u0648\u0633\u064a\u0637\u0629 <strong>inplace<\/strong> \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0645\u0643\u0627\u0646\u0647\u0627 \u062f\u0648\u0646 \u0625\u0639\u0627\u062f\u0629 \u062a\u0639\u064a\u064a\u0646 DataFrame.<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0645\u0644\u064a\u064b\u0627 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n\n#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">A<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">B<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">C<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tA B C\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 1: \u062d\u0630\u0641 \u0639\u0645\u0648\u062f \u0628\u0627\u0644\u0627\u0633\u0645<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0645\u0646 DataFrame \u0628\u0627\u0644\u0627\u0633\u0645:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop column named 'B' from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">B<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n\tA C\n0 25 11\n1 12 8\n2 15 10\n3 14 6\n4 19 6\n5 23 5\n6 25 9\n7 29 12<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 2: \u062d\u0630\u0641 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop columns 'A' and 'C' from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> ([' <span style=\"color: #ff0000;\">A<\/span> ', ' <span style=\"color: #ff0000;\">C<\/span> '], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        B\n0 5\n1 7\n2 7\n3 9\n4 12\n5 9\n6 9\n7 4<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 3: \u062d\u0630\u0641 \u0639\u0645\u0648\u062f \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0633\u0642\u0627\u0637 \u0639\u0645\u0648\u062f \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop first column from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> [[0]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        B C\n0 5 11\n1 7 8\n2 7 10\n3 9 6\n4 12 6\n5 9 5\n6 9 9\n7 4 12<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644 4: \u0642\u0645 \u0628\u0625\u0633\u0642\u0627\u0637 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0633\u0642\u0627\u0637 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#drop multiple columns from DataFrame<\/span>\ndf. <span style=\"color: #3366ff;\">drop<\/span> (df. <span style=\"color: #3366ff;\">columns<\/span> [[0, 1]], axis= <span style=\"color: #008000;\">1<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> ) \n\n<span style=\"color: #008080;\">#view DataFrame<\/span>\ndf\n\n        VS\n0 11\n1 8\n2 10\n3 6\n4 6\n5 5\n6 9\n7 12\n<\/strong><\/pre>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0636\u064a\u0641-\u062e\u0637\u064b\u0627-\u0627\u0655\u0644\u0649-dataframe\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0635\u0641\u0648\u0641 \u0625\u0644\u0649 Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0655\u0636\u0627\u0641\u0629-\u0645\u062c\u0645\u0648\u0639\u0629-numpy-\u0627\u0655\u0644\u0649-\u0627\u0655\u0637\u0627\u0631-\u0628\u064a\u0627\u0646\u0627\u062a-\u0627\u0644\u0628\u0627\u0646\u062f\u0627\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0645\u062c\u0645\u0648\u0639\u0629 Numpy \u0625\u0644\u0649 Pandas DataFrame<\/a><br \/> \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0639\u062f\u062f \u0627\u0644\u0635\u0641\u0648\u0641 \u0641\u064a Pandas DataFrame<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 drop() \u0644\u0625\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 pandas DataFrame: #drop one column by name df. drop (&#8216; column_name &#8216;, axis= 1 , inplace= True ) #drop multiple columns by name df. drop ([&#8216; column_name1 &#8216;, &#8216; column_name2 &#8216;], axis= 1 , inplace= True ) #drop one column by index df. drop ( [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 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