{"id":3300,"date":"2023-07-18T05:14:02","date_gmt":"2023-07-18T05:14:02","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-pop-%e1%80%a1%e1%80%90%e1%80%94%e1%80%ba%e1%80%b8\/"},"modified":"2023-07-18T05:14:02","modified_gmt":"2023-07-18T05:14:02","slug":"pandas-pop-%e1%80%a1%e1%80%90%e1%80%94%e1%80%ba%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-pop-%e1%80%a1%e1%80%90%e1%80%94%e1%80%ba%e1%80%b8\/","title":{"rendered":"Pandas- dataframe \u1019\u103e \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u101a\u1030\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1021\u1019\u103c\u1014\u103a\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a DataFrame \u1000\u102d\u102f \u1026\u1038\u1005\u103d\u102c\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038\u104a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a (\u1006\u102d\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u1019\u1030\u101b\u1004\u103a\u1038 DataFrame \u1019\u103e\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b)\u104b<\/span><\/p>\n

 #pop the row in index position 3<\/span>\ndf. T.<\/span> pop<\/span> ( 3<\/span> )\n<\/strong><\/pre>\n
 \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
 \u1025\u1015\u1019\u102c- \u1015\u1014\u103a\u1012\u102b DataFrame \u104f\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \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', 'B', 'C', 'D', 'E', 'F'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n<\/strong><\/span><\/pre>\n
 \u101a\u1001\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a DataFrame \u1019\u103e \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1014\u1031\u101b\u102c 3 \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101c\u102d\u102f\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a DataFrame \u1000\u102d\u102f\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u102e\u1038\u1014\u1031\u102c\u1000\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1014\u1031\u101b\u102c 3 \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 #define transposed DataFrame\n<\/span>df_transpose = df. T<\/span>\n\n#remove row in index position 3 of original DataFrame\n<\/span>df_transpose. pop<\/span> ( 3<\/span> )\n\nteam D\npoints 14\nassists 9\nName: 3, dtype: object<\/span><\/span><\/strong>\n<\/pre>\n
 \u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a \u1016\u103b\u1000\u103a\u101c\u102d\u102f\u1000\u103a\u101e\u1031\u102c\u1021\u1010\u1014\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u1019\u1030\u101b\u1004\u103a\u1038 DataFrame \u1000\u102d\u102f \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101b\u101a\u1030\u101b\u1014\u103a DataFrame \u1000\u102d\u102f \u1011\u1015\u103a\u1019\u1036\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 #transpose back to original DataFrame\n<\/span>df = df_transpose. T<\/span>\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n4 E 14 12\n5 F 11 9\n<\/span><\/span><\/strong><\/pre>\n
 \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u1014\u1031\u1021\u1011\u102c\u1038 3 \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1021\u102c\u1038 DataFrame \u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u1000\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 DataFrame \u101b\u103e\u102d \u1021\u1001\u103c\u102c\u1038\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u1014\u1002\u102d\u102f\u1021\u1010\u102d\u102f\u1004\u103a\u1038 \u1000\u103b\u1014\u103a\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a<\/strong> – \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a pop()<\/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><\/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 DataFrame \u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas DataFrame \u101b\u103e\u102d \u1015\u1011\u1019\u1010\u1014\u103a\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038<\/a>
 \u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1015\u1031\u102b\u103a\u1021\u1001\u103c\u1031\u1001\u1036\u104d Pandas DataFrame \u101b\u103e\u102d\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1021\u1019\u103c\u1014\u103a\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a DataFrame \u1000\u102d\u102f \u1026\u1038\u1005\u103d\u102c\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u1015\u103c\u102e\u1038\u104a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a (\u1006\u102d\u102f\u101c\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c \u1019\u1030\u101b\u1004\u103a\u1038 DataFrame \u1019\u103e\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a pop() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b)\u104b #pop the row in index position 3 df. T. pop ( 3 ) \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- \u1015\u1014\u103a\u1012\u102b DataFrame \u104f\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1015\u102b\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \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 […]<\/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- DataFrame - Statology \u1019\u103e\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u101a\u1030\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, 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