{"id":980,"date":"2023-07-28T02:45:23","date_gmt":"2023-07-28T02:45:23","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%9b%e1%80%80%e1%80%ba%e1%80%85%e1%80%bd%e1%80%b2%e1%80%a1%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba-%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%99%e1%80%bb%e1%80%ad%e1%80%af\/"},"modified":"2023-07-28T02:45:23","modified_gmt":"2023-07-28T02:45:23","slug":"%e1%80%9b%e1%80%80%e1%80%ba%e1%80%85%e1%80%bd%e1%80%b2%e1%80%a1%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba-%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%99%e1%80%bb%e1%80%ad%e1%80%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%9b%e1%80%80%e1%80%ba%e1%80%85%e1%80%bd%e1%80%b2%e1%80%a1%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba-%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%a1%e1%80%99%e1%80%bb%e1%80%ad%e1%80%af\/","title":{"rendered":"Pandas dataframe \u1000\u102d\u102f \u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a \u1018\u101a\u103a\u101c\u102d\u102f\u1005\u102e\u1019\u101c\u1032 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)"},"content":{"rendered":"

<\/p>\n

\n

\u1019\u1000\u103c\u102c\u1001\u100f \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u102d\u102f \u1005\u102e\u101b\u1014\u103a\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a sort_values()<\/strong><\/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\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

\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036 \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c 1- \u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f\u1005\u102e\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 \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<\/span>\ndf = pd.DataFrame({'sales': [4, 11, 13, 9],\n                   'customers': [2, 6, 9, 7],\n                   'date': ['2020-01-25', '2020-01-18', '2020-01-22', '2020-01-21']})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   sales customers date\n0 4 2 2020-01-25\n1 11 6 2020-01-18\n2 13 9 2020-01-22\n3 9 7 2020-01-21\n<\/strong><\/pre>\n
 \u1026\u1038\u1005\u103d\u102c\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a ‘\u101b\u1000\u103a\u1005\u103d\u1032’ \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f datetime \u1021\u101b\u102c\u101d\u1010\u1039\u1011\u102f\u1021\u1016\u103c\u1005\u103a\u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1014\u103a to_datetime()<\/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\u101c\u102d\u102f\u1021\u1015\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 df[' date<\/span> '] = pd. to_datetime<\/span> (df[' date<\/span> '])\n<\/strong><\/pre>\n
 \u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a sort_values()<\/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 ‘\u101b\u1000\u103a\u1005\u103d\u1032’ \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d DataFrame \u1000\u102d\u102f \u1005\u102e\u1005\u1025\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 df. sort_values<\/span> (by=' date<\/span> ')\n\n        sales customers date\n1 11 6 2020-01-18\n3 9 7 2020-01-21\n2 13 9 2020-01-22\n0 4 2 2020-01-25\n<\/strong><\/pre>\n
 \u1019\u1030\u101b\u1004\u103a\u1038\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u101e\u100a\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a\u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a \u1005\u102e\u101e\u100a\u103a\u104b \u101e\u102d\u102f\u1037\u101b\u102c\u1010\u103d\u1004\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1000\u103c\u102e\u1038\u1005\u1009\u103a\u1004\u101a\u103a\u101c\u102d\u102f\u1000\u103a=\u1000\u103c\u102e\u1038\u1005\u1009\u103a\u1004\u101a\u103a\u101c\u102d\u102f\u1000\u103a \u1005\u102e\u101b\u1014\u103a \u1019\u103e\u102c\u1038\u101a\u103d\u1004\u103a\u1038<\/strong> \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 df. sort_values<\/span> (by=' date<\/span> ', ascending= False<\/span> )\n\n\tsales customers date\n0 4 2 2020-01-25\n2 13 9 2020-01-22\n3 9 7 2020-01-21\n1 11 6 2020-01-18<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 2- \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1005\u102e\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 \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<\/span>\ndf = pd.DataFrame({'person': ['A', 'B', 'C', 'D'],\n                   'order_date': ['2020-01-15', '2020-01-15', '2020-01-20', '2020-01-20'],\n                   'receive_date': ['2020-01-25', '2020-01-18', '2020-01-22', '2020-01-21']})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  person order_date receive_date\n0 A 2020-01-15 2020-01-25\n1 B 2020-01-15 2020-01-18\n2 C 2020-01-20 2020-01-22\n3 D 2020-01-20 2020-01-21<\/strong><\/pre>\n
 \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u1005\u103d\u102c \u1015\u1036\u1037\u1015\u102d\u102f\u1038\u1015\u1031\u1038\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u1010\u103d\u1004\u103a DataFrame \u1000\u102d\u102f \u1005\u102e\u101b\u1014\u103a sort_values<\/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
 #convert both date columns to datetime objects<\/span>\ndf[['order_date','receive_date']] = df[['order_date','receive_date']]. apply<\/span> (pd. to_datetime<\/span> )\n\n#sort DateFrame by order_date, then by receive_date\n<\/span>df. sort_values<\/span> (by=['order_date', 'receive_date'])\n\n        person order_date receive_date\n1 B 2020-01-15 2020-01-18\n0 A 2020-01-15 2020-01-25\n3 D 2020-01-20 2020-01-21\n2 C 2020-01-20 2020-01-22<\/strong><\/pre>\n
 DataFrame \u1000\u102d\u102f \u101a\u1001\u102f order_date \u1016\u103c\u1004\u1037\u103a \u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a\u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a \u1005\u102e\u1011\u102c\u1038\u1015\u103c\u102e\u1038\u104a \u1011\u102d\u102f\u1037\u1014\u1031\u102c\u1000\u103a receipt_date \u1016\u103c\u1004\u1037\u103a \u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a\u1000\u103c\u102e\u1038\u101c\u102d\u102f\u1000\u103a \u1016\u103c\u1005\u103a\u1014\u1031\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 DataFrame \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u1010\u103d\u1004\u103a DateTime \u1000\u102d\u102f \u101b\u1000\u103a\u1005\u103d\u1032\u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
 Pandas \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f DateTime \u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1014\u100a\u103a\u1038<\/a>
 Pandas \u101b\u103e\u102d \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036 \u1014\u103e\u1005\u103a\u1019\u103b\u102d\u102f\u1038\u101c\u102f\u1036\u1038\u1016\u103c\u1004\u1037\u103a \u1005\u102e\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1019\u1000\u103c\u102c\u1001\u100f \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u102d\u102f \u1005\u102e\u101b\u1014\u103a\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a sort_values() \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 \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a \u101c\u103d\u101a\u103a\u1000\u1030\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036 \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- \u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f\u1005\u102e\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 pd #createDataFrame df = pd.DataFrame({‘sales’: [4, 11, 13, 9], ‘customers’: [2, 6, 9, 7], ‘date’: [‘2020-01-25’, ‘2020-01-18’, ‘2020-01-22’, ‘2020-01-21’]}) #view DataFrame print […]<\/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 \u1000\u102d\u102f \u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a \u1018\u101a\u103a\u101c\u102d\u102f\u1005\u102e\u1019\u101c\u1032 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)<\/title>\n<meta name=\"description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c \u1021\u1015\u102b\u1021\u101d\u1004\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101c\u102d\u102f\u1000\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1001\u103d\u1032\u1019\u100a\u103a\u1014\u100a\u103a\u1038 \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\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\/\u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a-\u1015\u1014\u103a\u1012\u102b\u1021\u1019\u103b\u102d\u102f\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrame \u1000\u102d\u102f \u101b\u1000\u103a\u1005\u103d\u1032\u1021\u101c\u102d\u102f\u1000\u103a \u1018\u101a\u103a\u101c\u102d\u102f\u1005\u102e\u1019\u101c\u1032 (\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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