{"id":3274,"date":"2023-07-18T08:36:45","date_gmt":"2023-07-18T08:36:45","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-a-vs-loc\/"},"modified":"2023-07-18T08:36:45","modified_gmt":"2023-07-18T08:36:45","slug":"pandas-a-vs-loc","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-a-vs-loc\/","title":{"rendered":"Pandas vs loc- \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u1018\u102c\u101c\u1032\u104b"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">pandas DataFrame \u104f \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u103d\u1031\u1038\u1001\u103b\u101a\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b\u1010\u103d\u1004\u103a\u104a <b>.loc<\/b> \u1014\u103e\u1004\u1037\u103a <strong>.at<\/strong> \u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u101e\u102f\u1036\u1038\u1019\u103b\u102c\u1038\u101e\u1031\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u100a\u103a\u1019\u103e\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u101e\u102d\u1019\u103a\u1019\u103d\u1031\u1037\u101e\u1031\u102c \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>.loc<\/strong> \u101e\u100a\u103a input arguments \u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u101a\u1030\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>.at \u101e\u100a\u103a<\/strong> input arguments \u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101e\u102c \u101a\u1030\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b pandas DataFrame \u1016\u103c\u1004\u1037\u103a \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a \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;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 1- Pandas \u1010\u103d\u1004\u103a loc \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1019\u103e\u1010\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1014\u1031\u101b\u102c 0 \u1010\u103d\u1004\u103a\u101b\u103e\u102d\u101e\u1031\u102c DataFrame \u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u101d\u1004\u103a\u101b\u1031\u102c\u1000\u103a\u101b\u1014\u103a <strong>.loc \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#select value located at index position 0 of the points column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [0, ' <span style=\"color: #ff0000;\">points<\/span> ']\n\n18<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038 <strong>18<\/strong> \u1000\u102d\u102f \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038 0 \u1014\u103e\u1004\u1037\u103a 4 \u1021\u1000\u103c\u102c\u1038 \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u1004\u103a \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u1030\u100a\u102e\u1015\u1031\u1038\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a <strong>.loc<\/strong> \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#select rows between index values 0 and 4 and columns 'points' and 'assists'\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">loc<\/span> [0:4, [' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']]\n\n        assist points\n0 18 5\n1 22 7\n2 19 7\n3 14 9\n4 14 12<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102f\u1015\u103a\u1005\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101d\u1004\u103a\u101b\u1031\u102c\u1000\u103a\u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u101c\u102d\u102f\u1015\u102b\u1000 <strong>.loc<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a \u1014\u103e\u1005\u103a\u1001\u102f\u1005\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 2- Pandas \u1010\u103d\u1004\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1019\u103e\u1010\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1014\u1031\u101b\u102c 0 \u1010\u103d\u1004\u103a\u101b\u103e\u102d\u101e\u1031\u102c DataFrame \u1021\u1010\u103d\u1004\u103a\u1038\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u101b\u101a\u1030\u101b\u1014\u103a <strong>.at<\/strong> \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#select value located at index position 0 of the points column\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">at<\/span> [0, ' <span style=\"color: #ff0000;\">points<\/span> ']\n\n18<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038 <strong>18<\/strong> \u1000\u102d\u102f \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101e\u102d\u102f\u1037\u101e\u1031\u102c\u103a\u104a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038 0 \u1014\u103e\u1004\u1037\u103a 4 \u1000\u103c\u102c\u1038\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u1004\u103a \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1011\u1031\u102c\u1000\u103a\u1021\u1000\u1030\u1015\u103c\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101d\u1004\u103a\u101b\u1031\u102c\u1000\u103a\u101b\u1014\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 <b>\u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038<\/b> \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: #008080;\">#try to select rows between index values 0 and 4 and columns 'points' and 'assists'\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">at<\/span> [0:4, [' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ']]<\/span>\n\n<span style=\"color: #000000;\"><span style=\"color: #ff0000;\">TypeError<\/span> : unhashable type: 'list'\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">input arguments \u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u1000\u102d\u102f \u101a\u1030\u104d\u1019\u101b\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a <strong>\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037<\/strong> \u1010\u103d\u1004\u103a \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f \u101c\u1000\u103a\u1001\u1036\u101b\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\">\u1014\u102d\u1002\u102f\u1036\u1038<\/span><\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">pandas DataFrame \u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1000\u102d\u102f \u101e\u1004\u103a\u101d\u1004\u103a\u101b\u1031\u102c\u1000\u103a\u101c\u102d\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u104a <strong>loc<\/strong> \u1014\u103e\u1004\u1037\u103a <strong>functions<\/strong> \u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1000\u1031\u102c\u1004\u103a\u1038\u1019\u103d\u1014\u103a\u1005\u103d\u102c\u1021\u101c\u102f\u1015\u103a\u101c\u102f\u1015\u103a\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u101e\u102d\u102f\u1037\u101b\u102c\u1010\u103d\u1004\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102f\u1015\u103a\u1005\u102f\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101d\u1004\u103a\u101b\u1031\u102c\u1000\u103a\u1000\u103c\u100a\u1037\u103a\u101b\u103e\u102f\u101c\u102d\u102f\u1015\u102b\u1000\u104a <strong>loc<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u101e\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1006\u1000\u103a\u1005\u1015\u103a-<\/strong> <a href=\"https:\/\/statorials.org\/my\/pandas-loc-vs-iloc\/\" target=\"_blank\" rel=\"noopener\">Pandas loc vs iloc- \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102c\u1038 \u1021\u1018\u101a\u103a\u1014\u100a\u103a\u1038\u104b<\/a><\/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\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\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-\u1019\u103b\u102d\u102f\u1038\u1005\u102f\u1036\u101e\u1031\u102c-\u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038-\u101b\u103e\u102d\u1014\u1031\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas Loc \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u104d \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\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1021\u1015\u1031\u102b\u103a-\u1021\u1001\u103c\u1031\u1001\u1036\u104d-\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f-\u101b\u103d\u1031\u1038\u1001\u103b\u101a\u103a\u101e\u100a\u103a\u104b\/\">Pandas \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u104d \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\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u101c\u102d\u102f\u1000\u103a-\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f-\u101b\u103d\u1031\u1038\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas \u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u101c\u102d\u102f\u1000\u103a \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><\/p>\n","protected":false},"excerpt":{"rendered":"<p>pandas DataFrame \u104f \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u103d\u1031\u1038\u1001\u103b\u101a\u103a\u101e\u100a\u1037\u103a\u1021\u1001\u102b\u1010\u103d\u1004\u103a\u104a .loc \u1014\u103e\u1004\u1037\u103a .at \u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u101e\u102f\u1036\u1038\u1019\u103b\u102c\u1038\u101e\u1031\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1024\u101e\u100a\u103a\u1019\u103e\u102c \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u101e\u102d\u1019\u103a\u1019\u103d\u1031\u1037\u101e\u1031\u102c \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b .loc \u101e\u100a\u103a input arguments \u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u101a\u1030\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b .at \u101e\u100a\u103a input arguments \u1021\u1016\u103c\u1005\u103a \u1021\u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101e\u102c \u101a\u1030\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b pandas DataFrame \u1016\u103c\u1004\u1037\u103a \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a \u104b import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; team &#8216;: [&#8216;A&#8217;, &#8216;B&#8217;, &#8216;C&#8217;, [&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 vs loc- \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u1018\u102c\u101c\u1032\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1019\u103b\u102c\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101b\u103e\u102d at \u1014\u103e\u1004\u1037\u103a loc \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u102c\u1038 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\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\/my\/pandas-a-vs-loc\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas vs loc- \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u1018\u102c\u101c\u1032\u104b - \u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1019\u103b\u102c\u1038\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101b\u103e\u102d at \u1014\u103e\u1004\u1037\u103a loc \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u102c\u1038 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/pandas-a-vs-loc\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T08:36:45+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" 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