{"id":3700,"date":"2023-07-16T01:36:44","date_gmt":"2023-07-16T01:36:44","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba-%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-6\/"},"modified":"2023-07-16T01:36:44","modified_gmt":"2023-07-16T01:36:44","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba-%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-6","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%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba-%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-6\/","title":{"rendered":"Pandas- dataframes \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f \u1014\u102f\u1010\u103a\u1019\u101c\u1032\u104b"},"content":{"rendered":"

<\/p>\n

\n

\u1015\u1014\u103a\u1012\u102b\u1010\u1005\u103a\u1001\u102f DataFrame \u1000\u102d\u102f \u1021\u1001\u103c\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1014\u102f\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 df1. subtract<\/span> (df2)\n<\/strong><\/pre>\n
 \u101e\u1004\u1037\u103a\u1010\u103d\u1004\u103a DataFrame \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1007\u102c\u1010\u103a\u1000\u1031\u102c\u1004\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000\u104a DataFrame \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101e\u102d\u102f\u1037 \u1026\u1038\u1005\u103d\u102c\u101b\u103d\u103e\u1031\u1037\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 df1. set_index<\/span> (' char_column<\/span> '). subtract<\/span> ( df2.set_index<\/span> (' char_column<\/span> '))<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a syntax \u1010\u1005\u103a\u1001\u102f\u1005\u102e\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
 \u1025\u1015\u1019\u102c 1- Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u102f\u1010\u103a\u1015\u102b (\u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u101e\u102c)<\/strong><\/span><\/h2>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u101e\u102c\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' points<\/span> ': [5, 17, 7, 19, 12, 13, 9, 24],\n                    ' assists<\/span> ': [4, 7, 7, 6, 8, 7, 10, 11]})\n\nprint<\/span> (df1)\n\n   assist points\n0 5 4\n1 17 7\n2 7 7\n3 19 6\n4 12 8\n5 13 7\n6 9 10\n7 24 11\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' points<\/span> ': [4, 22, 10, 3, 7, 8, 12, 10],\n                    ' assists<\/span> ': [3, 5, 5, 4, 7, 14, 9, 5]})\n\nprint<\/span> (df2)\n\n   assist points\n0 4 3\n1 22 5\n2 10 5\n3 3 4\n4 7 7\n5 8 14\n6 12 9\n7 10 5\n<\/span><\/span><\/span><\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u101e\u1000\u103a\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u102f\u1010\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #subtract corresponding values between the two DataFrames<\/span>\ndf1. subtract<\/span> (df2)\n\n\tassist points\n0 1 1\n1 -5 2\n2 -3 2\n3 16 2\n4 5 1\n5 5 -7\n6 -3 1\n7 14 6\n<\/strong><\/span><\/pre>\n
 \u1025\u1015\u1019\u102c 2- Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f (\u1007\u102c\u1010\u103a\u1000\u1031\u102c\u1004\u103a\u1014\u103e\u1004\u1037\u103a \u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038 \u101b\u1031\u102c\u1014\u103e\u1031\u102c\u1001\u103c\u1004\u103a\u1038)<\/strong><\/span><\/h2>\n
 \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a team<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c \u1007\u102c\u1010\u103a\u1000\u1031\u102c\u1004\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                    ' points<\/span> ': [5, 17, 7, 19, 12, 13, 9, 24],\n                    ' assists<\/span> ': [4, 7, 7, 6, 8, 7, 10, 11]})\n\nprint<\/span> (df1)\n\n  team points assists\n0 to 5 4\n1 B 17 7\n2 C 7 7\n3 D 19 6\n4 E 12 8\n5 F 13 7\n6 G 9 10\n7:24 a.m. 11\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                    ' points<\/span> ': [4, 22, 10, 3, 7, 8, 12, 10],\n                    ' assists<\/span> ': [3, 5, 5, 4, 7, 14, 9, 3]})\n\nprint<\/span> (df2)\n\n  team points assists\n0 to 4 3\n1 B 22 5\n2 C 10 5\n3 D 3 4\n4 E 7 7\n5 F 8 14\n6 G 12 9\n7:10 a.m. 3<\/span><\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1016\u103d\u1032\u1037<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f DataFrame \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u103d\u103e\u1031\u1037\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u1015\u103c\u102e\u1038 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u101e\u1000\u103a\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u102f\u1010\u103a\u101a\u1030\u1015\u102b\u104b<\/span><\/p>\n
 #move 'team' column to index of each DataFrame and subtract corresponding values\n<\/span>df1. set_index<\/span> (' team<\/span> '). subtract<\/span> ( df2.set_index<\/span> (' team<\/span> '))\n\n\tassist points\nteam\t\t\nAt 1 1\nB-52\nC -3 2\nD 16 2\nE 5 1\nF 5 -7\nG -3 1\nH 14 8\n<\/span><\/strong><\/pre>\n
 \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
 \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
 Pandas- \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u101b\u103e\u102c\u1019\u101c\u1032\u104b<\/a>
 Pandas- \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u101b\u103e\u102c\u1019\u101c\u1032\u104b<\/a>
 Pandas- \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u102f\u1010\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1015\u1014\u103a\u1012\u102b\u1010\u1005\u103a\u1001\u102f DataFrame \u1000\u102d\u102f \u1021\u1001\u103c\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1014\u102f\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b df1. subtract (df2) \u101e\u1004\u1037\u103a\u1010\u103d\u1004\u103a DataFrame \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1010\u103d\u1004\u103a \u1007\u102c\u1010\u103a\u1000\u1031\u102c\u1004\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000\u104a DataFrame \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101e\u102d\u102f\u1037 \u1026\u1038\u1005\u103d\u102c\u101b\u103d\u103e\u1031\u1037\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a- df1. set_index (‘ char_column ‘). subtract ( df2.set_index (‘ char_column ‘)) \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a syntax \u1010\u1005\u103a\u1001\u102f\u1005\u102e\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 1- Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u102f\u1010\u103a\u1015\u102b (\u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u101e\u102c) \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u101e\u102c\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd […]<\/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":"\nPandas- DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f \u1014\u102f\u1010\u103a\u1019\u101c\u1032 - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b 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\u102f\u1010\u103a\u1014\u100a\u103a\u1038\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\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a-6\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas- DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f \u1014\u102f\u1010\u103a\u1019\u101c\u1032 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b 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\u102f\u1010\u103a\u1014\u100a\u103a\u1038\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\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a-6\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T01:36:44+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\" 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