{"id":888,"date":"2023-07-28T10:15:37","date_gmt":"2023-07-28T10:15:37","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%98%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%81%e1%80%af%e1%80%80%e1%80%ad\/"},"modified":"2023-07-28T10:15:37","modified_gmt":"2023-07-28T10:15:37","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%98%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%81%e1%80%af%e1%80%80%e1%80%ad","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%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%98%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%81%e1%80%af%e1%80%80%e1%80%ad\/","title":{"rendered":"Pandas \u101b\u103e\u102d dataframes \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u101b\u1036\u1016\u1014\u103a\u101b\u1036\u1001\u102b\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u104f \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102d\u101b\u103e\u102d\u101b\u1014\u103a Panda DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a \u1005\u102d\u1010\u103a\u101d\u1004\u103a\u1005\u102c\u1038\u1015\u1031\u1019\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u1012\u102e\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103e\u102c \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u1015\u102b\u1010\u101a\u103a\u104b<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c- Pandas \u101b\u103e\u102d DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u101c\u1031\u1038\u1026\u1038\u1010\u103d\u1004\u103a \u1012\u1031\u1010\u102c\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f\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: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define DataFrame 1<\/span>\ndf1 = pd. <span style=\"color: #0000ff;\">DataFrame<\/span> ({'player': ['A', 'B', 'C', 'D'],\n                   'points': [12, 15, 17, 24],\n                   'assists': [4, 6, 7, 8]})\ndf1\n\n\n        player points assists\n0 to 12 4\n1 B 15 6\n2 C 17 7\n3 D 24 88\n\n<span style=\"color: #008080;\">#define DataFrame 2\n<\/span>df2 = pd. <span style=\"color: #0000ff;\">DataFrame<\/span> ({'player': ['A', 'B', 'C', 'D'],\n                    'points': [12, 24, 26, 29],\n                    'assists': [7, 8, 10, 13]})\ndf2\n\n\tplayer points assists\n0 to 12 7\n1 B 24 8\n2 C 26 10\n3 D 29 13\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 1- DataFrames \u1014\u103e\u1005\u103a\u1001\u102f \u1021\u1010\u1030\u1010\u1030\u101c\u102c\u1038\u1006\u102d\u102f\u1010\u102c \u101b\u103e\u102c\u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.equals.html\" target=\"_blank\" rel=\"noopener\">DataFrame.equals()<\/a> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d DataFrame \u1014\u103e\u1005\u103a\u1001\u102f\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1001\u103c\u1004\u103a\u1038\u101b\u103e\u102d\u1019\u101b\u103e\u102d\u1000\u102d\u102f \u1026\u1038\u1005\u103d\u102c\u101b\u103e\u102c\u1016\u103d\u1031\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#see if two DataFrames are identical<\/span>\ndf1. <span style=\"color: #0000ff;\">equals<\/span> (df2)\n\nFalse<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1019\u1015\u102b\u101d\u1004\u103a\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a <strong>False \u1000\u102d\u102f<\/strong> \u1019\u103e\u1014\u103a\u1000\u1014\u103a\u1005\u103d\u102c\u1015\u103c\u1014\u103a\u1015\u102d\u102f\u1037\u1015\u1031\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 2- DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d player stats \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101b\u103e\u102c\u1015\u102b\u104b<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">pandas <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.DataFrame.subtract.html\" target=\"_blank\" rel=\"noopener\">\u1014\u102f\u1010\u103a()<\/a> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1010\u1005\u103a\u1026\u1038\u1005\u102e\u104f \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1000\u1030\u100a\u102e\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u101b\u103e\u102c\u1016\u103d\u1031\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#subtract df1 from df2<\/span>\ndf2. <span style=\"color: #0000ff;\">set_index<\/span> ('player'). <span style=\"color: #0000ff;\">subtract<\/span> (df1.set_index('player'))\n\n\tassist points\nplayer\t\t\nAt 0 3\nB 9 2\nC 9 3\nD 5 5\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1024\u101e\u100a\u103a\u1000\u102d\u102f \u1021\u1013\u102d\u1015\u1039\u1015\u102c\u101a\u103a\u1016\u103d\u1004\u1037\u103a\u1006\u102d\u102f\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103e\u102c-<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038 A \u101e\u100a\u103a DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1010\u103d\u1004\u103a \u1021\u1019\u103e\u1010\u103a\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 DataFrame 2 \u1010\u103d\u1004\u103a \u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1019\u103e\u102f 3 \u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">Player B \u101e\u100a\u103a DataFrame 1 \u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 DataFrame 2 \u1010\u103d\u1004\u103a \u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a 9 \u1019\u103e\u1010\u103a\u1014\u103e\u1004\u1037\u103a \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1019\u103e\u102f 2 \u1001\u102f \u1011\u1015\u103a\u1019\u1036\u101b\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">Player C \u101e\u100a\u103a DataFrame 1 \u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 DataFrame 2 \u1010\u103d\u1004\u103a \u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a 9 \u1019\u103e\u1010\u103a\u1014\u103e\u1004\u1037\u103a 3 \u1000\u103c\u102d\u1019\u103a \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1019\u103e\u102f \u1015\u102d\u102f\u1019\u103b\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/li>\n<li> <span style=\"color: #000000;\">Player D \u101e\u100a\u103a DataFrame 1 \u1014\u103e\u1004\u1037\u103a \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1015\u102b\u1000 DataFrame 2 \u1010\u103d\u1004\u103a \u1014\u1031\u102c\u1000\u103a\u1011\u1015\u103a 5 \u1019\u103e\u1010\u103a\u1014\u103e\u1004\u1037\u103a 5 \u1000\u103c\u102d\u1019\u103a \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1019\u103e\u102f \u1015\u102d\u102f\u1019\u103b\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>\u1025\u1015\u1019\u102c 3- DataFrame \u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a\u101e\u102c\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1010\u1014\u103a\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f\u101b\u103e\u102c\u1015\u102b\u104b<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">DataFrame \u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a\u101e\u102c \u1015\u1031\u102b\u103a\u101c\u102c\u101e\u100a\u1037\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1005\u102c\u101b\u1004\u103a\u1038 \u1021\u1015\u103c\u100a\u1037\u103a\u1021\u1005\u102f\u1036\u1000\u102d\u102f \u101b\u101b\u103e\u102d\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\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#outer merge the two DataFrames, adding an indicator column called 'Exist'<\/span>\ndiff_df = pd. <span style=\"color: #0000ff;\">merge<\/span> (df1, df2, how=' <span style=\"color: #008000;\">outer<\/span> ', indicator=' <span style=\"color: #008000;\">Exist<\/span> ')\n\n<span style=\"color: #008080;\">#find which rows don't exist in both DataFrames\n<\/span>diff_df = diff_df. <span style=\"color: #0000ff;\">loc<\/span> [diff_df[' <span style=\"color: #008000;\">Exist<\/span> '] != ' <span style=\"color: #008000;\">both<\/span> ']\ndiff_df\n\n\tplayer points assists Exist\n0 A 12 4 left_only\n1 B 15 6 left_only\n2 C 17 7 left_only\n3 D 24 8 left_only\n4 A 12 7 right_only\n5 B 24 8 right_only\n6 C 26 10 right_only\n7 D 29 13 right_only\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u1024\u1000\u102d\u1005\u1039\u1005\u1010\u103d\u1004\u103a\u104a DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u1019\u103b\u103e\u101d\u1031\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a DataFrames \u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a\u101e\u102c\u1015\u1031\u102b\u103a\u101c\u102c\u101e\u1031\u102c \u1005\u102f\u1005\u102f\u1015\u1031\u102b\u1004\u103a\u1038\u1021\u1010\u1014\u103a\u1038 8 \u1010\u1014\u103a\u1038\u101b\u103e\u102d\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u201cExist\u201d \u101f\u102f \u1010\u1036\u1006\u102d\u1015\u103a\u1010\u1015\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u100a\u1037\u103a DataFrame \u1010\u103d\u1004\u103a \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u1005\u103d\u102c \u1015\u1031\u102b\u103a\u101c\u102c\u101e\u100a\u103a\u1000\u102d\u102f \u1021\u1006\u1004\u103a\u1015\u103c\u1031\u1005\u103d\u102c \u1015\u103c\u1031\u102c\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u101b\u1036\u1016\u1014\u103a\u101b\u1036\u1001\u102b\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u104f \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u1014\u103e\u1004\u1037\u103a \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102d\u101b\u103e\u102d\u101b\u1014\u103a Panda DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a \u1005\u102d\u1010\u103a\u101d\u1004\u103a\u1005\u102c\u1038\u1015\u1031\u1019\u100a\u103a\u104b \u1012\u102e\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103e\u102c \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u1015\u102b\u1010\u101a\u103a\u104b \u1025\u1015\u1019\u102c- Pandas \u101b\u103e\u102d DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1001\u103c\u1004\u103a\u1038\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u101c\u1031\u1038\u1026\u1038\u1010\u103d\u1004\u103a \u1012\u1031\u1010\u102c\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #define DataFrame 1 df1 = pd. DataFrame ({&#8216;player&#8217;: [&#8216;A&#8217;, &#8216;B&#8217;, &#8216;C&#8217;, &#8216;D&#8217;], &#8216;points&#8217;: [12, 15, 17, 24], &#8216;assists&#8217;: [4, 6, 7, 8]}) df1 player points assists [&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 \u101b\u103e\u102d DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038 - Statology<\/title>\n<meta name=\"description\" content=\"Pandas \u101b\u103e\u102d DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\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\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u101b\u103e\u102d DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038 - Statology\" \/>\n<meta property=\"og:description\" content=\"Pandas \u101b\u103e\u102d DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038\u1021\u1010\u103d\u1000\u103a \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T10:15:37+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\" 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