{"id":1233,"date":"2023-07-27T04:53:06","date_gmt":"2023-07-27T04:53:06","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%8a%e1%80%bd%e1%80%be%e1%80%94%e1%80%ba%e1%80%b8%e1%80%80%e1%80%ad%e1%80%af-%e1%80%81%e1%80%bb%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba\/"},"modified":"2023-07-27T04:53:06","modified_gmt":"2023-07-27T04:53:06","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%8a%e1%80%bd%e1%80%be%e1%80%94%e1%80%ba%e1%80%b8%e1%80%80%e1%80%ad%e1%80%af-%e1%80%81%e1%80%bb%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba","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%a1%e1%80%8a%e1%80%bd%e1%80%be%e1%80%94%e1%80%ba%e1%80%b8%e1%80%80%e1%80%ad%e1%80%af-%e1%80%81%e1%80%bb%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba\/","title":{"rendered":"Pandas \u101b\u103e\u102d index column \u1000\u102d\u102f \u1019\u100a\u103a\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)"},"content":{"rendered":"

<\/p>\n

\n

\u1010\u1005\u103a\u1001\u102b\u1010\u1005\u103a\u101b\u1036 \u101e\u1004\u103a\u101e\u100a\u103a Python \u101b\u103e\u102d \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

pandas DataFrames \u1014\u103e\u1004\u1037\u103a Series \u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f \u1021\u1019\u103c\u1032\u101b\u103e\u102d\u1014\u1031\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a \u1019 \u1001\u103b<\/em> \u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u104e\u1004\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

 df. reset_index<\/span> (drop= True<\/span> , place= True<\/span> )\n<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1000\u1039\u1001\u101b\u102c\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\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({'points': [25, 12, 15, 14, 19, 23, 25, 29],\n                   'assists': [5, 7, 7, 9, 12, 9, 9, 4],\n                   'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#set index of DataFrame to be random letters\n<\/span>df = df. set_index<\/span> ([pd. Index<\/span> (['a', 'b', 'd', 'g', 'h', 'm', 'n', 'z'])])\n\n#display DataFrame\n<\/span>df\n\n        points assists rebounds\na 25 5 11\nb 12 7 8\nd 15 7 10\ng 14 9 6\nh 19 12 6\nm 23 9 5\nn 25 9 9\nz 29 4 12\n<\/strong><\/pre>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a reset_index()<\/a> \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\u1015\u103c\u102e\u1038 \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u1014\u1036\u1015\u102b\u1010\u103a\u1019\u103b\u102c\u1038\u104f \u1014\u1036\u1015\u102b\u1010\u103a\u1005\u1009\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u101c\u102c\u1005\u1031\u101b\u1014\u103a\u104a<\/span><\/p>\n
 #reset indexes\n<\/span>df. reset_index<\/span> (drop= True<\/span> , place= True<\/span> )\n\n#display DataFrame<\/span>\ndf\n\n        points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n
 \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u101e\u100a\u103a \u101a\u1001\u102f 0 \u1019\u103e 7 \u1021\u1011\u102d \u1014\u1036\u1015\u102b\u1010\u103a\u1019\u103b\u102c\u1038\u1005\u102c\u101b\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1005\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1021\u1011\u1000\u103a\u1010\u103d\u1004\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1001\u1032\u1037\u101e\u100a\u1037\u103a\u1021\u1010\u102d\u102f\u1004\u103a\u1038\u104a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u101e\u100a\u103a \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u101f\u102f\u1010\u103a\u1015\u102b\u104b \u1011\u102d\u102f\u1037\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1015\u102f\u1036\u101e\u100f\u1039\u100d\u102c\u1014\u103a<\/strong> \u1021\u1019\u102d\u1014\u1037\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b\u104a DataFrame \u1010\u103d\u1004\u103a 8 \u1010\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036 3 \u1001\u102f (\u1000\u1031\u102c\u103a\u101c\u1036 4 \u1001\u102f \u1021\u1005\u102c\u1038 \u101b\u103e\u102d\u101e\u100a\u103a) \u1000\u102d\u102f \u1010\u103d\u1031\u1037\u101b\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n
 #find number of rows and columns in DataFrame\n<\/span>df. shape\n\n(8, 3)\n<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1015\u102d\u102f\u1006\u102f- \u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u1001\u103c\u1004\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1011\u102f\u1010\u103a\u101a\u1030\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f CSV \u1016\u102d\u102f\u1004\u103a\u1019\u103e \u104e\u1004\u103a\u1038\u1000\u102d\u102f\u1016\u1010\u103a\u1015\u103c\u102e\u1038\u1014\u1031\u102c\u1000\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u104f\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u104e\u1004\u103a\u1038\u1000\u102d\u102f\u1010\u1004\u103a\u101e\u103d\u1004\u103a\u1038\u101e\u100a\u1037\u103a \u1021\u1001\u102b<\/em> \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f \u1021\u1019\u103c\u1014\u103a\u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 df = pd. read_csv<\/span> ('data.csv', index_col= False<\/span> )<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1011\u102f\u1010\u103a\u101a\u1030\u1014\u1031\u1005\u1009\u103a\u1021\u1010\u103d\u1004\u103a\u1038 \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u102c\u1038 CSV \u1016\u102d\u102f\u1004\u103a\u101e\u102d\u102f\u1037 \u1019\u101b\u1031\u1038\u1011\u102c\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1031\u1001\u103b\u102c\u1005\u1031\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 df. to_csv<\/span> ('data.csv', index= False<\/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><\/h3>\n
 Pandas \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u1016\u103c\u1005\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u101b\u103e\u102d NaN \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas DataFrame \u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102e\u101b\u1014\u103a<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1010\u1005\u103a\u1001\u102b\u1010\u1005\u103a\u101b\u1036 \u101e\u1004\u103a\u101e\u100a\u103a Python \u101b\u103e\u102d \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b pandas DataFrames \u1014\u103e\u1004\u1037\u103a Series \u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f \u1021\u1019\u103c\u1032\u101b\u103e\u102d\u1014\u1031\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f \u1021\u1019\u103e\u1014\u103a\u1010\u1000\u101a\u103a \u1019 \u1001\u103b \u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u104e\u1004\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u101c\u100a\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b df. reset_index (drop= True , place= True ) \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1000\u1039\u1001\u101b\u102c\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\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({‘points’: [25, 12, 15, 14, 19, 23, 25, […]<\/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 \u101b\u103e\u102d Index Column \u1000\u102d\u102f \u1019\u100a\u103a\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)<\/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 DataFrame \u1019\u103e \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\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\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f-\u1001\u103b\u101c\u102d\u102f\u1000\u103a\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u101b\u103e\u102d Index Column \u1000\u102d\u102f \u1019\u100a\u103a\u1000\u1032\u1037\u101e\u102d\u102f\u1037 \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)\" \/>\n<meta property=\"og:description\" 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