{"id":2022,"date":"2023-07-24T01:23:04","date_gmt":"2023-07-24T01:23:04","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-%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%e1%80%85%e1%80%ac%e1%80%9b%e1%80%84%e1%80%ba%e1%80%b8\/"},"modified":"2023-07-24T01:23:04","modified_gmt":"2023-07-24T01:23:04","slug":"pandas-%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%e1%80%85%e1%80%ac%e1%80%9b%e1%80%84%e1%80%ba%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-%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%e1%80%85%e1%80%ac%e1%80%9b%e1%80%84%e1%80%ba%e1%80%b8\/","title":{"rendered":"Pandas \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u1014\u100a\u103a\u1038 (\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 4 \u1001\u102f)"},"content":{"rendered":"

<\/p>\n

\n

Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101c\u1031\u1038\u1001\u102f\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\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

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1: \u1001\u103b\u102d\u1010\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/p>\n

 [column for<\/span> column in<\/span> df]\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- tolist() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b<\/strong><\/span><\/p>\n
 df. columns<\/span> . values<\/span> . tolist<\/span> ()<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 3- \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u1005\u102c\u101b\u1004\u103a\u1038()<\/strong><\/span><\/p>\n
 list(df)<\/b><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 4- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030 list() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 list(df. columns<\/span> . values<\/span> )<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b pandas DataFrame \u1016\u103c\u1004\u1037\u103a \u1024\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n<\/span><\/span>\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5],\n                   ' blocks<\/span> ': [6, 6, 3, 2, 7, 9]})\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds blocks\n0 25 5 11 6\n1 12 7 8 6\n2 15 7 10 3\n3 14 9 6 2\n4 19 12 6 7\n5 23 9 5 9\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1: \u1001\u103b\u102d\u1010\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1005\u1010\u102f\u101b\u1014\u103a\u1038\u1000\u103d\u1004\u103a\u1038\u1005\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1015\u1014\u103a\u1012\u102b DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 [column for<\/span> column in<\/span> df]\n\n['points', 'assists', 'rebounds', 'blocks']\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- tolist() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a .tolist()<\/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\u104d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 df. columns<\/span> . values<\/span> . tolist<\/span> ()\n\n['points', 'assists', 'rebounds', 'blocks'] \n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 3- \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a \u1005\u102c\u101b\u1004\u103a\u1038()<\/span><\/strong><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a list()<\/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\u104d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 list(df)\n\n['points', 'assists', 'rebounds', 'blocks']<\/span> \n<\/span><\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 4- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030 list() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/span><\/strong><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030 list()<\/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\u104d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 list(df. columns<\/span> . values<\/span> )\n\n['points', 'assists', 'rebounds', 'blocks']<\/span><\/span><\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101c\u1031\u1038\u1001\u102f\u1005\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c\u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038 \u1015\u103c\u1014\u103a\u101c\u102c\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1021\u101c\u103d\u1014\u103a\u1000\u103c\u102e\u1038\u1019\u102c\u1038\u101e\u1031\u102c DataFrames \u1021\u1010\u103d\u1000\u103a\u104a df.columns.values.tolist()<\/strong> \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101e\u100a\u103a \u1021\u1019\u103c\u1014\u103a\u1006\u102f\u1036\u1038\u1016\u103c\u1005\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\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 pandas DataFrame \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\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 \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1016\u101a\u103a\u1011\u102f\u1010\u103a\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
 Pandas \u101b\u103e\u102d \u101b\u103d\u1031\u1038\u1001\u103b\u101a\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
 Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1005\u102e\u1005\u1025\u103a\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<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101c\u1031\u1038\u1001\u102f\u1011\u1032\u1019\u103e \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a- \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1: \u1001\u103b\u102d\u1010\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u104b [column for column in df] \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- tolist() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b df. columns . values . tolist () \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 3- \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u1005\u102c\u101b\u1004\u103a\u1038() list(df) \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 4- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030 list() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b list(df. columns . values ) \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b pandas DataFrame \u1016\u103c\u1004\u1037\u103a \u1024\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- import pandas as pd #createDataFrame df […]<\/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 \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1005\u102c\u101b\u1004\u103a\u1038\u1015\u103c\u102f\u1005\u102f\u1014\u100a\u103a\u1038 (\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 4 \u1001\u102f) - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u101e\u100a\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d 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