{"id":2031,"date":"2023-07-24T00:23:35","date_gmt":"2023-07-24T00:23:35","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%9b%e1%80%be%e1%80%ac%e1%80%96%e1%80%bd%e1%80%b1%e1%80%9b%e1%80%b1%e1%80%b8\/"},"modified":"2023-07-24T00:23:35","modified_gmt":"2023-07-24T00:23:35","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%9b%e1%80%be%e1%80%ac%e1%80%96%e1%80%bd%e1%80%b1%e1%80%9b%e1%80%b1%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%9b%e1%80%be%e1%80%ac%e1%80%96%e1%80%bd%e1%80%b1%e1%80%9b%e1%80%b1%e1%80%b8\/","title":{"rendered":"Pandas \u1010\u103d\u1004\u103a vlookup \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a VLOOKUP (Excel \u1014\u103e\u1004\u1037\u103a\u1006\u1004\u103a\u1010\u1030\u101e\u100a\u103a) \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n

 p.d. merge<\/span> (df1,\n         df2,\n         on = ' column_name<\/span> ',\n         how = ' left<\/span> ')\n<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a \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
 \u1021\u1006\u1004\u1037\u103a 1- DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1015\u1011\u1019\u1026\u1038\u1005\u103d\u102c \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u1015\u103c\u102e\u1038 \u1015\u1014\u103a\u1012\u102b DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                    ' team<\/span> ': ['Mavs', 'Mavs', 'Mavs', 'Mavs', 'Nets', 'Nets']})\n\n#define second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                    ' points<\/span> ': [22, 29, 34, 20, 15, 19]})\n\n#view df1\n<\/span>print<\/span> (df1)\n\n  player team\n0 A Mavs\n1 B Mavs\n2C Mavs\n3 D Mavs\n4 E Nets\n5 F Nets\n\n#view df2\n<\/span>print<\/span> (df2)\n\n  player points\n0 to 22\n1 B 29\n2 C 34\n3 D 20\n4 E 15\n5 F 19\n<\/strong><\/pre>\n
 \u1021\u1006\u1004\u1037\u103a 2: VLOOKUP \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 Excel \u101b\u103e\u102d VLOOKUP<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u101e\u1004\u1037\u103a\u1021\u102c\u1038 \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u1007\u101a\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1021\u1010\u103d\u1004\u103a\u1038\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u101b\u103e\u102c\u1016\u103d\u1031\u1014\u102d\u102f\u1004\u103a\u1005\u1031\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u102d\u102f\u1000\u103a\u1016\u1000\u103a\u1015\u103c\u102e\u1038 \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u104f\u1021\u1016\u103d\u1032\u1037\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a pd.merge()<\/strong> \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\u104f\u1021\u1016\u103d\u1032\u1037\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 #perform VLOOKUP<\/span>\njoined_df = pd. merge<\/span> (df1,\n                     df2,\n                     we = ' player<\/span> ',\n                     how = ' left<\/span> ')\n\n#view results\n<\/span>joined_df\n\n\tplayer team points\n0 A Mavs 22\n1 B Mavs 29\n2 C Mavs 34\n3D Mavs 20\n4 E Nets 15\n5 F Nets 19<\/strong><\/pre>\n
 \u101b\u101b\u103e\u102d\u101c\u102c\u101e\u1031\u102c \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038 DataFrame \u1010\u103d\u1004\u103a \u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u104a \u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u104f\u1021\u1016\u103d\u1032\u1037\u1014\u103e\u1004\u1037\u103a \u101b\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038 \u1015\u102b\u101d\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 pandas merge()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u104f \u1021\u103d\u1014\u103a\u101c\u102d\u102f\u1004\u103a\u1038\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 \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
 \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><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a Python \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c \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
 Python \u1010\u103d\u1004\u103a PivotTables \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 Python \u1010\u103d\u1004\u103a \u1006\u1000\u103a\u1005\u1015\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Python \u1010\u103d\u1004\u103a \u101b\u102c\u1001\u102d\u102f\u1004\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a VLOOKUP (Excel \u1014\u103e\u1004\u1037\u103a\u1006\u1004\u103a\u1010\u1030\u101e\u100a\u103a) \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a- p.d. merge (df1, df2, on = ‘ column_name ‘, how = ‘ left ‘) \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1021\u1006\u1004\u1037\u103a\u1006\u1004\u1037\u103a \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 \u1021\u1006\u1004\u1037\u103a 1- DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b \u1015\u1011\u1019\u1026\u1038\u1005\u103d\u102c \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u1015\u103c\u102e\u1038 \u1015\u1014\u103a\u1012\u102b DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #define first DataFrame df1 = pd. DataFrame ({‘ […]<\/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 - Statorials \u1010\u103d\u1004\u103a VLOOKUP \u101c\u102f\u1015\u103a\u1014\u100a\u103a\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\u1010\u103d\u1004\u103a VLOOKUP (Excel \u1014\u103e\u1004\u1037\u103a\u1006\u1004\u103a\u1010\u1030\u101e\u100a\u103a) \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u100a\u103a\u1038\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\/\u1015\u1014\u103a\u1012\u102b\u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1031\u1038\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas - Statorials \u1010\u103d\u1004\u103a VLOOKUP \u101c\u102f\u1015\u103a\u1014\u100a\u103a\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\u1010\u103d\u1004\u103a VLOOKUP (Excel \u1014\u103e\u1004\u1037\u103a\u1006\u1004\u103a\u1010\u1030\u101e\u100a\u103a) \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a 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