{"id":4252,"date":"2023-07-12T12:45:03","date_gmt":"2023-07-12T12:45:03","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-iterrows-%e1%80%a1%e1%80%95%e1%80%ba%e1%80%92%e1%80%ad%e1%80%90%e1%80%ba%e1%80%90%e1%80%94%e1%80%ba%e1%80%96%e1%80%ad%e1%80%af%e1%80%b8\/"},"modified":"2023-07-12T12:45:03","modified_gmt":"2023-07-12T12:45:03","slug":"pandas-iterrows-%e1%80%a1%e1%80%95%e1%80%ba%e1%80%92%e1%80%ad%e1%80%90%e1%80%ba%e1%80%90%e1%80%94%e1%80%ba%e1%80%96%e1%80%ad%e1%80%af%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-iterrows-%e1%80%a1%e1%80%95%e1%80%ba%e1%80%92%e1%80%ad%e1%80%90%e1%80%ba%e1%80%90%e1%80%94%e1%80%ba%e1%80%96%e1%80%ad%e1%80%af%e1%80%b8\/","title":{"rendered":"Pandas- \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>iterrows<\/strong> \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u1031\u1005\u1009\u103a pandas DataFrame \u1010\u103d\u1004\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1019\u103d\u1019\u103a\u1038\u1019\u1036\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">for<\/span> i, row <span style=\"color: #008000;\">in<\/span> df. <span style=\"color: #3366ff;\">iterrows<\/span> ():\n    points_add = 10\n    <span style=\"color: #008000;\">if<\/span> row[' <span style=\"color: #ff0000;\">points<\/span> '] &gt; 15:\n        points_add = 50\n    df. <span style=\"color: #3366ff;\">at<\/span> [i,' <span style=\"color: #ff0000;\">points<\/span> '] = points_add\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u1024\u1025\u1015\u1019\u102c\u101e\u100a\u103a DataFrame \u104f\u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u102e\u1038 \u1010\u1014\u103a\u1016\u102d\u102f\u1038 15 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u1015\u102b\u1000 \u1021\u1005\u1000\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f <strong>50<\/strong> \u101e\u102d\u102f\u1037 \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101c\u1000\u103a\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 15 \u1021\u1031\u102c\u1000\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u100a\u102e\u1019\u103b\u103e\u1015\u102b\u1000\u104a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f <strong>10<\/strong> \u101e\u102d\u102f\u1037 \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c- \u1021\u1010\u1014\u103a\u1038\u1011\u1032\u1010\u103d\u1004\u103a Pandas DataFrame \u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c \u1018\u1010\u103a\u1005\u1000\u1000\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1019\u103e \u101b\u1019\u103e\u1010\u103a\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [10, 12, 14, 15, 15, 15, 16, 17, 20]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  player points\n0 to 10\n1 B 12\n2 C 14\n3 D 15\n4 E 15\n5 F 15\n6 G 16\n7:17 a.m.\n8 I 20<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u101a\u102f\u1010\u1039\u1010\u102d\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u101c\u102d\u102f\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a 15 \u1021\u1031\u102c\u1000\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u100a\u102e\u1019\u103b\u103e\u1015\u102b\u1000\u104a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f <strong>10<\/strong> \u1021\u1016\u103c\u1005\u103a \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1015\u102b\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038 15 \u1011\u1000\u103a\u1019\u103b\u102c\u1038\u1015\u102b\u1000\u104a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f <strong>50<\/strong> \u1016\u103c\u1005\u103a\u1021\u1031\u102c\u1004\u103a \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1015\u102b\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">DataFrame \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1011\u1015\u103a\u1010\u101c\u1032\u101c\u1032\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a\u1014\u103e\u1004\u1037\u103a \u1024\u1019\u103d\u1019\u103a\u1038\u1019\u1036\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u102f\u101c\u102f\u1015\u103a\u101b\u1014\u103a <strong>iterrows<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\"><span style=\"color: #008080;\">#iterate over each row in DataFrame and update values in points column<\/span>\nfor<\/span> i, row <span style=\"color: #008000;\">in<\/span> df. <span style=\"color: #3366ff;\">iterrows<\/span> ():\n    points_add = 10\n    <span style=\"color: #008000;\">if<\/span> row[' <span style=\"color: #ff0000;\">points<\/span> '] &gt; 15:\n        points_add = 50\n    df. <span style=\"color: #3366ff;\">at<\/span> [i,' <span style=\"color: #ff0000;\">points<\/span> '] = points_add\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  player points\n0 to 10\n1 B 10\n2 C 10\n3 D 10\n4 E 10\n5 F 10\n6 G 50\n7:50 a.m.\n8 I 50<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038 \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u102d\u102f\u1000\u103a\u101c\u103b\u1031\u102c\u100a\u102e\u1011\u103d\u1031 \u1019\u103d\u1019\u103a\u1038\u1019\u1036\u1011\u102c\u1038\u101e\u100a\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> &#8211; pandas <strong>iterrows()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103a \u1005\u102c\u101b\u103d\u1000\u103a\u1005\u102c\u1010\u1019\u103a\u1038\u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.iterrows.html\" target=\"_blank\" rel=\"noopener\">\u1024\u1014\u1031\u101b\u102c\u1010\u103d\u1004\u103a<\/a> \u101b\u103e\u102c\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u1021\u101c\u102f\u1015\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-dataframe-\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a-\u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038\u1010\u103d\u1004\u103a-\u101c\u102d\u102f\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f-\u101b\u103d\u1031\u1038\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas- \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u103d\u1031\u1038\u1001\u103b\u101a\u103a\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1021\u1001\u103c\u102c\u1038\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1015\u1031\u102b\u103a\u1021\u1001\u103c\u1031\u1001\u1036\u104d-\u1015\u1014\u103a\u1012\u102b\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f-\u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1015\u102b\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas- \u1021\u1001\u103c\u102c\u1038 DataFrame \u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1015\u102b\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>iterrows \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u1031\u1005\u1009\u103a pandas DataFrame \u1010\u103d\u1004\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1019\u103d\u1019\u103a\u1038\u1019\u1036\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b for i, row in df. iterrows (): points_add = 10 if row[&#8216; points &#8216;] &gt; 15: points_add = 50 df. at [i,&#8217; points &#8216;] = points_add \u1024\u1025\u1015\u1019\u102c\u101e\u100a\u103a DataFrame \u104f\u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u102e\u1038 \u1010\u1014\u103a\u1016\u102d\u102f\u1038 15 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u1015\u102b\u1000 \u1021\u1005\u1000\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f 50 \u101e\u102d\u102f\u1037 \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u101e\u100a\u103a\u104b \u101c\u1000\u103a\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 15 \u1021\u1031\u102c\u1000\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u100a\u102e\u1019\u103b\u103e\u1015\u102b\u1000\u104a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f 10 \u101e\u102d\u102f\u1037 \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas- \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1015\u103a\u1012\u102d\u1010\u103a\u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038 - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a iterrow \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f 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