{"id":3728,"date":"2023-07-15T21:51:16","date_gmt":"2023-07-15T21:51:16","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%9c%e1%80%90%e1%80%85%e1%80%ba%e1%80%9b%e1%80%80\/"},"modified":"2023-07-15T21:51:16","modified_gmt":"2023-07-15T21:51:16","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%9c%e1%80%90%e1%80%85%e1%80%ba%e1%80%9b%e1%80%80","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%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%9c%e1%80%90%e1%80%85%e1%80%ba%e1%80%9b%e1%80%80\/","title":{"rendered":"\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038- \u1010\u1005\u103a\u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1010\u102d\u102f\u1037\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b"},"content":{"rendered":"

<\/p>\n

\n

\u1015\u1014\u103a\u1012\u102b DataFrame \u1010\u103d\u1004\u103a \u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 df[' date<\/span> '] = pd. to_datetime<\/span> (dict(year=df. year<\/span> , month=df. month<\/span> , day=df. day<\/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- Pandas \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1010\u102d\u102f\u1037\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1000\u102f\u1019\u1039\u1015\u100f\u102e\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u101b\u1031\u102c\u1004\u103a\u1038\u1001\u103b\u1019\u103e\u102f\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' year<\/span> ': [2021, 2022, 2022, 2022, 2022, 2022, 2022, 2022],\n                   ' month<\/span> ': [7, 1, 1, 2, 5, 10, 11, 12],\n                   ' day<\/span> ': [4, 15, 25, 27, 27, 24, 10, 18],\n                   ' sales<\/span> ': [140, 200, 250, 180, 130, 87, 90, 95]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   year month day sales\n0 2021 7 4 140\n1 2022 1 15 200\n2 2022 1 25 250\n3 2022 2 27 180\n4 2022 5 27 130\n5 2022 10 24 87\n6 2022 11 10 90\n7 2022 12 18 95\n<\/strong><\/span><\/pre>\n
 \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a DataFrame \u101b\u103e\u102d \u1014\u103e\u1005\u103a<\/strong> \u104a \u101c<\/strong> \u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u1015\u103a\u101e\u100a\u1037\u103a \u101b\u1000\u103a\u1005\u103d\u1032<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #create date columns from year, month, and day columns\n<\/span>df[' date<\/span> '] = pd. to_datetime<\/span> (dict(year=df. year<\/span> , month=df. month<\/span> , day=df. day<\/span> ))\n\n#view updated DataFrame\nprint<\/span><\/span> (df)\n\n   year month day sales date\n0 2021 7 4 140 2021-07-04\n1 2022 1 15 200 2022-01-15\n2 2022 1 25 250 2022-01-25\n3 2022 2 27 180 2022-02-27\n4 2022 5 27 130 2022-05-27\n5 2022 10 24 87 2022-10-24\n6 2022 11 10 90 2022-11-10\n7 2022 12 18 95 2022-12-18\n<\/span><\/span><\/strong><\/pre>\n
 \u101b\u1000\u103a\u1005\u103d\u1032<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101b\u103e\u102d \u1010\u1005\u103a\u1014\u103e\u1005\u103a<\/strong> \u104a \u101c<\/strong> \u104a \u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1021\u1015\u1031\u102b\u103a\u1021\u1001\u103c\u1031\u1001\u1036\u104d \u101b\u1000\u103a\u1005\u103d\u1032\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1015\u102b\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/p>\n
 DataFrame \u1021\u1010\u103d\u1004\u103a\u1038\u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u101a\u1030\u101b\u1014\u103a df.info() \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b\u1000\u104a \u101b\u1000\u103a\u1005\u103d\u1032<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1010\u103d\u1004\u103a datetime64<\/strong> \u1012\u1031\u1010\u102c\u1021\u1019\u103b\u102d\u102f\u1038\u1021\u1005\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u1015\u102b\u101b\u103e\u102d\u101e\u100a\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1019\u103c\u1004\u103a\u1010\u103d\u1031\u1037\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 #display information about each column in DataFrame\ndf. info<\/span> ()\n\n<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 8 entries, 0 to 7\nData columns (total 5 columns):\n # Column Non-Null Count Dtype         \n--- ------ -------------- -----         \n 0 year 8 non-null int64         \n 1 month 8 non-null int64         \n 2 day 8 non-null int64         \n 3 dirty 8 non-null int64         \n 4 date 8 non-null datetime64[ns]\ndtypes: datetime64[ns](1), int64(4)\nmemory usage: 388.0 bytes<\/span><\/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><\/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\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 \u1010\u103d\u1004\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u101b\u1000\u103a\u1015\u1031\u102b\u1004\u103a\u1038\u1011\u100a\u1037\u103a\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u1014\u102f\u1010\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u1010\u103d\u1004\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u103d\u1031\u1038\u1001\u103b\u101a\u103a\u1014\u100a\u103a\u1038<\/a>
 \u1015\u1014\u103a\u1012\u102b\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038 \u1000\u103d\u102c\u1001\u103c\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1015\u1014\u103a\u1012\u102b DataFrame \u1010\u103d\u1004\u103a \u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b df[‘ date ‘] = pd. to_datetime (dict(year=df. year , month=df. month , day=df. day )) \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- Pandas \u1010\u103d\u1004\u103a \u1010\u1005\u103a\u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1010\u102d\u102f\u1037\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1000\u102f\u1019\u1039\u1015\u100f\u102e\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u101b\u1031\u102c\u1004\u103a\u1038\u1001\u103b\u1019\u103e\u102f\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u1037\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1000\u103c\u1015\u102b\u1005\u102d\u102f\u1037\u104b import pandas as pd #createDataFrame df = pd. DataFrame […]<\/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\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038- \u1010\u1005\u103a\u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1010\u102d\u102f\u1037\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b - Statorials<\/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 \u1010\u1005\u103a\u1014\u103e\u1005\u103a\u1014\u103e\u1004\u1037\u103a\u101c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1019\u103e \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\u1016\u1014\u103a\u1010\u102e\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\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u1014\u103e\u1005\u103a\u101c\u1010\u1005\u103a\u101b\u1000\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038- \u1010\u1005\u103a\u1014\u103e\u1005\u103a\u104a \u101c\u1014\u103e\u1004\u1037\u103a \u1014\u1031\u1037\u1010\u102d\u102f\u1037\u1019\u103e 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