{"id":3931,"date":"2023-07-14T16:46:14","date_gmt":"2023-07-14T16:46:14","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%9d%e1%80%ad%e1%80%af%e1%80%84%e1%80%ba%e1%80%b8\/"},"modified":"2023-07-14T16:46:14","modified_gmt":"2023-07-14T16:46:14","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%9d%e1%80%ad%e1%80%af%e1%80%84%e1%80%ba%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%9d%e1%80%ad%e1%80%af%e1%80%84%e1%80%ba%e1%80%b8\/","title":{"rendered":"Pandas dataframe \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">my_column<\/span> = df. <span style=\"color: #3366ff;\">my_column<\/span> . <span style=\"color: #3366ff;\">round<\/span> ()\n<\/strong><\/pre>\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- Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u1016\u103d\u1032\u1037\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c\u1021\u102c\u1038\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1015\u1010\u103a\u101e\u1000\u103a\u101e\u1031\u102c\u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1015\u102b \u1040 \u1004\u103a\u101e\u1031\u102c\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\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;\">athlete<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' <span style=\"color: #ff0000;\">time<\/span> ': [12.443, 15.8, 16.009, 5.06, 11.075, 12.9546],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [5, 7, 7, 9, 12, 9]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  athlete time points\n0 A 12.4430 5\n1 B 15.8000 7\n2 C 16.0090 7\n3 D 5.0600 9\n4 E 11.0750 12\n5 F 12.9546 9<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u1021\u1001\u103b\u102d\u1014\u103a<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1021\u1014\u102e\u1038\u1006\u102f\u1036\u1038\u1000\u102d\u1014\u103a\u1038\u1015\u103c\u100a\u1037\u103a\u101e\u102d\u102f\u1037 \u1015\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#round values in 'time' column of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">time<\/span> = df. <span style=\"color: #3366ff;\">time<\/span> . <span style=\"color: #3366ff;\">round<\/span> ()\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  athlete time points\n0 A 12.0 5\n1 B 16.0 7\n2 C 16.0 7\n3D 5.0 9\n4 E 11.0 12\n5 F 13.0 9\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\"><strong>\u1021\u1001\u103b\u102d\u1014\u103a<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1021\u1014\u102e\u1038\u1006\u102f\u1036\u1038\u1000\u102d\u1014\u103a\u1038\u1015\u103c\u100a\u1037\u103a\u1021\u1016\u103c\u1005\u103a \u101d\u102d\u102f\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u103a\u1037:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>12,443 \u1000\u102d\u102f<\/strong> <strong>12<\/strong> \u101e\u102d\u102f\u1037 \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u1001\u1032\u1037\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>15.8 \u1000\u102d\u102f<\/strong> <strong>16<\/strong> \u101e\u102d\u102f\u1037 \u101d\u102d\u102f\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>16.009 \u1000\u102d\u102f<\/strong> <strong>16<\/strong> \u101e\u102d\u102f\u1037 \u101c\u103e\u100a\u1037\u103a\u1001\u1032\u1037\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1014\u1031\u102c\u1000\u103a &#8230; \u1015\u103c\u102e\u1038\u1010\u1031\u102c\u1037\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u102d\u1000\u103b\u101e\u1031\u102c\u1012\u103f\u1019\u1014\u1031\u101b\u102c\u1019\u103b\u102c\u1038\u1006\u102e\u101e\u102d\u102f\u1037 \u101c\u103e\u100a\u1037\u103a\u1015\u1010\u103a\u101b\u1014\u103a\u104a \u1011\u102d\u102f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f <strong>round()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u103d\u1004\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u1005\u103d\u102c\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a <strong>\u1021\u1001\u103b\u102d\u1014\u103a<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1012\u103f\u1019\u1014\u1031\u101b\u102c\u1014\u103e\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1015\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#round values in 'time' column to two decimal places\n<\/span>df. <span style=\"color: #3366ff;\">time<\/span> = df. <span style=\"color: #3366ff;\">time<\/span> . <span style=\"color: #3366ff;\">round<\/span> ( <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  athlete time points\n0 A 12.44 5\n1 B 15.80 7\n2 C 16.01 7\n3 D 5.06 9\n4 E 11.08 12\n5 F 12.95 9<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u1021\u1001\u103b\u102d\u1014\u103a<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1012\u103f\u1019\u1014\u103e\u1005\u103a\u1014\u1031\u101b\u102c\u101e\u102d\u102f\u1037 \u101d\u102d\u102f\u1004\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u103a\u1037:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>12.443 \u1000\u102d\u102f<\/strong> <strong>12.44<\/strong> \u101e\u102d\u102f\u1037 \u101c\u103e\u100a\u1037\u103a\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>15.8 \u1000\u102d\u102f<\/strong> <strong>15.80<\/strong> \u101e\u102d\u102f\u1037 \u101c\u103e\u100a\u1037\u103a\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>16.009 \u1000\u102d\u102f<\/strong> <strong>1601<\/strong> \u101e\u102d\u102f\u1037 \u101c\u103e\u100a\u1037\u103a\u1001\u1032\u1037\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u1014\u1031\u102c\u1000\u103a &#8230; \u1015\u103c\u102e\u1038\u1010\u1031\u102c\u1037\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1021\u1001\u103c\u102c\u1038\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u102c\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104a <strong>\u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/strong> \u104a \u1019\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\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\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\/\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u1015\u102b\u101e\u1031\u102c\u1015\u1014\u103a\u1012\u102b\/\" target=\"_blank\" rel=\"noopener\">\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u1015\u102b\u1018\u1032 Pandas DataFrame \u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f \u1015\u101b\u1004\u1037\u103a\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1021\u1010\u1014\u103a\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f-\u1015\u103c\u101e\u101e\u100a\u103a\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \u1010\u103d\u1004\u103a\u1021\u1010\u1014\u103a\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1014\u100a\u103a\u1038<\/a><br \/> <a href=\"https:\/\/statorials.org\/my\/pandas-\u101e\u100a\u103a-dtype-\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f\u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102c\u1038\u101c\u102f\u1036\u1038 \u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b df. my_column = df. my_column . round () \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 \u1025\u1015\u1019\u102c- Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u1016\u103d\u1032\u1037\u1001\u103c\u1004\u103a\u1038\u104b \u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c\u1021\u102c\u1038\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1015\u1010\u103a\u101e\u1000\u103a\u101e\u1031\u102c\u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1015\u102b \u1040 \u1004\u103a\u101e\u1031\u102c\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; athlete &#8216;: [&#8216;A&#8217;, &#8216;B&#8217;, &#8216;C&#8217;, &#8216;D&#8217;, &#8216;E&#8217;, &#8216;F&#8217;], &#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":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas DataFrame - Statology \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101d\u102d\u102f\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \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\/\u1015\u1014\u103a\u1012\u102b\u1021\u101d\u102d\u102f\u1004\u103a\u1038\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrame - Statology \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1000\u102d\u102f \u101d\u102d\u102f\u1004\u103a\u1038\u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101d\u102d\u102f\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1021\u101d\u102d\u102f\u1004\u103a\u1038\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-14T16:46:14+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%9d%e1%80%ad%e1%80%af%e1%80%84%e1%80%ba%e1%80%b8\/\",\"url\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%9d%e1%80%ad%e1%80%af%e1%80%84%e1%80%ba%e1%80%b8\/\",\"name\":\"Pandas DataFrame - Statology \u1010\u103d\u1004\u103a 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