{"id":970,"date":"2023-07-28T03:40:23","date_gmt":"2023-07-28T03:40:23","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-%e1%80%9e%e1%80%8a%e1%80%ba-excel-%e1%80%80%e1%80%ad%e1%80%af%e1%80%96%e1%80%90%e1%80%ba%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/"},"modified":"2023-07-28T03:40:23","modified_gmt":"2023-07-28T03:40:23","slug":"pandas-%e1%80%9e%e1%80%8a%e1%80%ba-excel-%e1%80%80%e1%80%ad%e1%80%af%e1%80%96%e1%80%90%e1%80%ba%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-%e1%80%9e%e1%80%8a%e1%80%ba-excel-%e1%80%80%e1%80%ad%e1%80%af%e1%80%96%e1%80%90%e1%80%ba%e1%80%9e%e1%80%8a%e1%80%ba%e1%81%8b\/","title":{"rendered":"\u1021\u1006\u102f\u1036\u1038\u1005\u103d\u1014\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a- pandas \u1016\u103c\u1004\u1037\u103a excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1016\u1010\u103a\u1019\u101c\u1032\u104b"},"content":{"rendered":"

<\/p>\n

\n

Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a pandas read_excel()<\/a> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u1010\u103a\u101b\u1014\u103a\u101c\u103d\u101a\u103a\u1000\u1030\u1005\u1031\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Python \u1010\u103d\u1004\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1010\u103a\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c 1- Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f pandas DataFrame \u1010\u103d\u1004\u103a\u1016\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n

\u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b Excel \u1016\u102d\u102f\u1004\u103a\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span> <\/p>\n

\"\"<\/p>\n

\u1024 Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f pandas DataFrame \u101e\u102d\u102f\u1037\u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u101b\u1014\u103a read_excel()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1010\u103d\u1004\u103a \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#import Excel file<\/span>\ndf = pd. read_excel<\/span> ('data.xlsx')\n\n#view DataFrame<\/span>\ndf\n\n        playerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22\n<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 2- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1015\u102b\u101e\u1031\u102c Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f\u1016\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1010\u1005\u103a\u1001\u102b\u1010\u1005\u103a\u101b\u1036\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\u101e\u100a\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1016\u103c\u1005\u103a\u101e\u100a\u1037\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101c\u100a\u103a\u1038 \u101b\u103e\u102d\u1000\u1031\u102c\u1004\u103a\u1038\u101b\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span> <\/p>\n
\"\"<\/p>\n
 \u1024\u1000\u102d\u1005\u1039\u1005\u1010\u103d\u1004\u103a\u104a \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u101e\u100a\u1037\u103a\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1016\u103c\u1005\u103a \u1019\u100a\u103a\u101e\u100a\u1037\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1015\u103c\u101b\u1014\u103a index_col \u1000\u102d\u102f<\/strong> \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import Excel file, specifying the index column<\/span>\ndf = pd. read_excel<\/span> ('data.xlsx', index_col=' index<\/span> ')\n\n#view DataFrame<\/span>\ndf\n\n\tplayerID team points\nindex\t\t\t\n1 1 Lakers 26\n2 2 Mavs 19\n3 3 Bucks 24\n4 4 Spurs 22<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 3- \u1005\u102c\u101b\u103d\u1000\u103a\u1021\u1019\u100a\u103a\u1016\u103c\u1004\u1037\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f\u1016\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 Excel \u1016\u102d\u102f\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1005\u102c\u101b\u103d\u1000\u103a\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f pandas DataFrame \u101e\u102d\u102f\u1037 \u1016\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1021\u1031\u102c\u1000\u103a\u1015\u102b Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u101e\u1015\u103a\u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/span> <\/p>\n
\"\"<\/p>\n
 pandas DataFrame \u1021\u1016\u103c\u1005\u103a \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1005\u102c\u101b\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1010\u103a\u101b\u1014\u103a\u104a sheet_name()<\/strong> \u1021\u1004\u103c\u1004\u103a\u1038\u1021\u1001\u102f\u1036\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import only second sheet<\/span>\ndf = pd. read_excel<\/span> ('data.xlsx', sheet_name=' second sheet<\/span> ')\n\n#view DataFrame\n<\/span>df\n\nplayerID team points\n0 1 Lakers 26\n1 2 Mavs 19\n2 3 Bucks 24\n3 4 Spurs 22\n<\/strong><\/pre>\n
 \u1021\u1016\u103c\u1005\u103a\u1019\u103b\u102c\u1038\u101e\u1031\u102c \u1021\u1019\u103e\u102c\u1038- xlrd \u1000\u102d\u102f \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n
 read_excel()<\/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\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1021\u1019\u103e\u102c\u1038\u1000\u102d\u102f \u1000\u103c\u102f\u1036\u1010\u103d\u1031\u1037\u101b\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 ImportError: Install xlrd >= 1.0.0 for Excel support\n<\/strong><\/pre>\n
 \u1024\u1000\u102d\u1005\u1039\u1005\u1010\u103d\u1004\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a xlrd \u1000\u102d\u102f \u1026\u1038\u1005\u103d\u102c\u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u101b\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n
 pip install xlrd<\/strong><\/pre>\n
 \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1015\u103c\u102e\u1038\u101e\u100a\u103a\u1014\u103e\u1004\u1037\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a read_excel()<\/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\u1014\u102d\u102f\u1004\u103a\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
 Pandas \u1014\u1032\u1037 CSV \u1016\u102d\u102f\u1004\u103a\u1010\u103d\u1031\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1016\u1010\u103a\u1019\u101c\u1032\u104b<\/a>
 Pandas DataFrame \u1000\u102d\u102f Excel \u101e\u102d\u102f\u1037\u1018\u101a\u103a\u101c\u102d\u102f\u1011\u102f\u1010\u103a\u1019\u101c\u1032\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1012\u1031\u1010\u102c\u101e\u102d\u1019\u103a\u1038\u1006\u100a\u103a\u1038\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1011\u1031\u102c\u1000\u103a\u1019\u1005\u103d\u102c\u104a pandas read_excel() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1016\u1010\u103a\u101b\u1014\u103a\u101c\u103d\u101a\u103a\u1000\u1030\u1005\u1031\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Python \u1010\u103d\u1004\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1010\u103a\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f pandas DataFrame \u1010\u103d\u1004\u103a\u1016\u1010\u103a\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 Excel \u1016\u102d\u102f\u1004\u103a\u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b \u1024 Excel \u1016\u102d\u102f\u1004\u103a\u1000\u102d\u102f pandas DataFrame \u101e\u102d\u102f\u1037\u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u101b\u1014\u103a read_excel() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1010\u103d\u1004\u103a \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a import pandas as pd #import Excel file df = pd. read_excel (‘data.xlsx’) #view […]<\/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\u1021\u1006\u102f\u1036\u1038\u1005\u103d\u1014\u103a\u101c\u1019\u103a\u1038\u100a\u103d\u103e\u1014\u103a- Pandas \u1016\u103c\u1004\u1037\u103a Excel \u1016\u102d\u102f\u1004\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1018\u101a\u103a\u101c\u102d\u102f\u1016\u1010\u103a\u1019\u101c\u1032\u104b<\/title>\n<meta name=\"description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c 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