{"id":3124,"date":"2023-07-19T02:40:19","date_gmt":"2023-07-19T02:40:19","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-pivot-%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%a1%e1%80%99%e1%80%8a%e1%80%ba%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8\/"},"modified":"2023-07-19T02:40:19","modified_gmt":"2023-07-19T02:40:19","slug":"pandas-pivot-%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%a1%e1%80%99%e1%80%8a%e1%80%ba%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-pivot-%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%a1%e1%80%99%e1%80%8a%e1%80%ba%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8\/","title":{"rendered":"Pandas- \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b"},"content":{"rendered":"

<\/p>\n

\n

\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1010\u102d\u1000\u103b\u101e\u1031\u102c\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1016\u103c\u1004\u1037\u103a pandas pivot table \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1015\u102f\u1036\u1005\u1036\u1016\u1031\u102c\u103a\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b<\/span><\/p>\n

\u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a\u1015\u1014\u103a\u1012\u102b\u104f built-in \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a\u101c\u103d\u101a\u103a\u1000\u1030\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u101e\u100a\u103a \u104e\u1004\u103a\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 \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c- Pandas Pivot Table \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n

\u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1015\u102b\u101b\u103e\u102d\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\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' position<\/span> ': ['G', 'G', 'F', 'C', 'G', 'C', 'F', 'F'],\n                   ' points<\/span> ': [4, 4, 6, 8, 9, 5, 5, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n\tteam position points\n0 A G 4\n1 A G 4\n2 A F 6\n3 A C 8\n4 B G 9\n5 B C 5\n6 B F 5\n7 B F 12<\/strong><\/pre>\n
 \u1021\u1016\u103d\u1032\u1037<\/strong> \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e \u1021\u1019\u103e\u1010\u103a<\/strong> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1014\u103e\u1004\u1037\u103a DataFrame \u101b\u103e\u102d \u1021\u1014\u1031\u1021\u1011\u102c\u1038\u1000\u102d\u102f<\/strong> \u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u1014\u103a\u1010\u102e\u1038\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
 #create pivot table\npiv = pd. pivot_table<\/span> (df, values=' points<\/span> ', index=' team<\/span> ', columns=' position<\/span> ')\n\n#view pivot table\n<\/span>print<\/span> (piv)\n\nCFG position\nteam                   \nA 8.0 6.0 4.0\nB 5.0 8.5 9.0<\/span><\/span><\/strong><\/pre>\n
 \u101a\u1001\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u101b\u103e\u102d \u1005\u1000\u102c\u1038\u101c\u102f\u1036\u1038\u104f \u1021\u1014\u1031\u1021\u1011\u102c\u1038\u1000\u102d\u102f<\/strong> \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u103c\u102e\u1038 \u1021\u1015\u102d\u102f \u1021\u1016\u103d\u1032\u1037<\/strong> \u1021\u1010\u1014\u103a\u1038\u1000\u102d\u102f \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u101e\u100a\u103a\u101f\u102f \u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 \u1012\u102b\u1000\u102d\u102f\u101c\u102f\u1015\u103a\u1016\u102d\u102f\u1037 \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u1010\u101a\u103a\u104b<\/span><\/p>\n
 #format column names\n<\/span>iv. columns<\/span> = ['_'. join<\/span> (str(s). strip<\/span> () for<\/span> s in<\/span> col if<\/span> s) for<\/span> col in<\/span> piv. columns<\/span> ]\n\n#reset indexes\n<\/span>iv. reset_index<\/span> (inplace= True<\/span> )\n\n#view updated pivot table\n<\/span>print<\/span> (piv)\n\n  team CFG\n0 A 8.0 6.0 4.0\n1 B 5.0 8.5 9.0\n<\/span><\/span><\/strong><\/pre>\n
 \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u101b\u103e\u102d \u1005\u1000\u102c\u1038\u101c\u102f\u1036\u1038\u104f \u1021\u1014\u1031\u1021\u1011\u102c\u1038\u1000\u102d\u102f<\/strong> \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u1015\u103c\u102e\u1038 \u1021\u1015\u102d\u102f \u1021\u1016\u103d\u1032\u1037<\/strong> \u1021\u1010\u1014\u103a\u1038\u1000\u102d\u102f \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1024\u1021\u1011\u103d\u1031\u1011\u103d\u1031\u1016\u103c\u1031\u101b\u103e\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u101e\u100a\u103a MultiIndex \u101b\u103e\u102d\u101e\u1031\u102c PivotTable \u1010\u1005\u103a\u1001\u102f\u1021\u1010\u103d\u1000\u103a\u101c\u100a\u103a\u1038 \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1019\u100a\u103a\u1016\u103c\u1005\u103a\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
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – pandas pivot_table()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u104f \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\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
 Pandas- \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas- \u1019\u100f\u1039\u100d\u102d\u102f\u1004\u103a\u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a NaN \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102f\u100a\u1016\u103c\u1004\u1037\u103a \u1021\u1005\u102c\u1038\u1011\u102d\u102f\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas- PivotTable \u1000\u102d\u102f DataFrame \u101e\u102d\u102f\u1037 \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u101c\u1032\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1010\u102d\u1000\u103b\u101e\u1031\u102c\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1016\u103c\u1004\u1037\u103a pandas pivot table \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1015\u102f\u1036\u1005\u1036\u1016\u1031\u102c\u103a\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a\u1015\u1014\u103a\u1012\u102b\u104f built-in \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a\u101c\u103d\u101a\u103a\u1000\u1030\u101e\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u101e\u100a\u103a \u104e\u1004\u103a\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 \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c- Pandas Pivot Table \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u102b\u104b \u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1015\u102b\u101b\u103e\u102d\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\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #createDataFrame df = pd. DataFrame ({‘ team ‘: [‘A’, ‘A’, ‘A’, ‘A’, ‘B’, ‘B’, ‘B’, ‘B’], ‘ […]<\/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":"\n\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038- \u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u100a\u103a\u1038 - Statorials<\/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\u1006\u102f\u1036\u1001\u103b\u1000\u103a\u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a 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property=\"og:url\" content=\"https:\/\/statorials.org\/my\/pandas-pivot-\u1007\u101a\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T02:40:19+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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