{"id":4156,"date":"2023-07-13T05:34:42","date_gmt":"2023-07-13T05:34:42","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%9b%e1%80%80%e1%80%ba%e1%80%85%e1%80%bd%e1%80%b2%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8\/"},"modified":"2023-07-13T05:34:42","modified_gmt":"2023-07-13T05:34:42","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%9b%e1%80%80%e1%80%ba%e1%80%85%e1%80%bd%e1%80%b2%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8","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%9b%e1%80%80%e1%80%ba%e1%80%85%e1%80%bd%e1%80%b2%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8\/","title":{"rendered":"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

Pandas DataFrame \u1021\u1010\u103d\u1004\u103a\u1038\u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u103c\u102c\u1038\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u1037\u103a DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1011\u100a\u1037\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 df[' met_due_date<\/span> '] = df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']\n<\/strong><\/pre>\n
 \u1024\u1025\u1015\u1019\u102c\u101e\u100a\u103a comp_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u101e\u100a\u103a due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u1010\u102d\u102f\u1004\u103a\u1019\u102e \u1016\u103c\u1005\u103a\u1019\u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a \u1019\u1030\u1010\u100a\u103a\u104d True \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a False \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u1037\u103a met_due_date<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1000\u102d\u102f \u1015\u1031\u102b\u1004\u103a\u1038\u1011\u100a\u1037\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u101b\u1000\u103a\u1005\u103d\u1032\u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1019\u103e\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 df_met_due_date = df[df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']]<\/strong><\/pre>\n
 \u1024\u1025\u1015\u1019\u102c\u101e\u100a\u103a comp_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u101e\u100a\u103a due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u101b\u1000\u103a\u1005\u103d\u1032\u1011\u1000\u103a\u1005\u1031\u102c\u101e\u1031\u102c\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101e\u102c\u1011\u102c\u1038\u101b\u103e\u102d\u101b\u1014\u103a DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b 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 \u101c\u1000\u103a\u1010\u103d\u1031\u1037\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\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' task<\/span> ': ['A', 'B', 'C', 'D'],\n                   ' due_date<\/span> ': ['4-15-2022', '5-19-2022', '6-14-2022', '10-24-2022'],\n                   ' comp_date<\/span> ': ['4-14-2022', '5-23-2022', '6-24-2022', '10-7-2022']})\n\n#convert due_date and comp_date columns to datetime format\n<\/span>df[[' due_date<\/span> ', ' comp_date<\/span> ']] = df[[' due_date<\/span> ', ' comp_date<\/span> ']]. apply<\/span> (pd. to_datetime<\/span> )\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  task due_date comp_date\n0 A 2022-04-15 2022-04-14\n1 B 2022-05-19 2022-05-23\n2 C 2022-06-14 2022-06-24\n3 D 2022-10-24 2022-10-07<\/span><\/span><\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 1- \u101b\u1000\u103a\u1005\u103d\u1032\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u1037\u103a DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1011\u100a\u1037\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 comp_date \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u101e\u100a\u103a due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036<\/strong> \u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u1010\u102d\u102f\u1004\u103a\u1019\u102e \u1016\u103c\u1005\u103a\u1019\u1016\u103c\u1005\u103a\u1015\u1031\u102b\u103a \u1019\u1030\u1010\u100a\u103a\u104d \u1019\u103e\u1014\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1019\u103e\u102c\u1038 \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u1037\u103a met_due_date<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u1000\u102d\u102f \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1010\u103d\u1004\u103a \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create new column that shows if completion date is before due date\n<\/span>df[' met_due_date<\/span> '] = df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  task due_date comp_date met_due_date\n0 A 2022-04-15 2022-04-14 True\n1 B 2022-05-19 2022-05-23 False\n2 C 2022-06-14 2022-06-24 False\n3 D 2022-10-24 2022-10-07 True\n<\/span><\/span><\/strong><\/pre>\n
 DataFrame \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a\u104a met_due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u101e\u1005\u103a\u101e\u100a\u103a comp_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u101e\u100a\u103a due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u1010\u102d\u102f\u1004\u103a\u1019\u102e \u1016\u103c\u1005\u103a\u1019\u1016\u103c\u1005\u103a\u1000\u102d\u102f \u1016\u1031\u102c\u103a\u1015\u103c\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a Task A \u101e\u100a\u103a 04\/15\/2022 \u104f \u1014\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u101b\u1000\u103a\u1005\u103d\u1032\u1014\u103e\u1004\u1037\u103a 04\/14\/2022 \u1010\u103d\u1004\u103a \u1015\u103c\u102e\u1038\u1005\u102e\u1038\u101e\u100a\u1037\u103a\u101b\u1000\u103a\u1005\u103d\u1032\u101b\u103e\u102d\u101e\u100a\u103a\u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1031\u1037\u1019\u103c\u1004\u103a\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1015\u103c\u102e\u1038\u1005\u102e\u1038\u101e\u100a\u1037\u103a\u101b\u1000\u103a\u1005\u103d\u1032\u101e\u100a\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1000\u103a\u1019\u1010\u102d\u102f\u1004\u103a\u1019\u102e\u1016\u103c\u1005\u103a\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a met_due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a \u1019\u103e\u1014\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u101b\u1000\u103a\u1005\u103d\u1032\u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1019\u103e\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u1010\u102d\u102f\u1004\u103a\u1019\u102e comp_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u103d\u1004\u103a\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u101e\u102c\u1015\u102b\u101d\u1004\u103a\u101b\u1014\u103a DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#filter for rows where completion date is before due date\n<\/span>df_met_due_date = df[df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']]\n\n#view results\n<\/span>print<\/span> (df_met_due_date)\n\n  task due_date comp_date\n0 A 2022-04-15 2022-04-14\n3 D 2022-10-24 2022-10-07<\/span><\/span><\/strong><\/pre>\n
 DataFrame \u1021\u101e\u1005\u103a\u1010\u103d\u1004\u103a comp_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u101e\u100a\u103a due_date<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u1010\u102d\u102f\u1004\u103a\u1019\u102e \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u101e\u102c\u1015\u102b\u101d\u1004\u103a\u101b\u1014\u103a \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1011\u102c\u1038\u1015\u102b\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><\/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\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u1001\u103c\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u1014\u103a\u1010\u1036\u1006\u102d\u1015\u103a\u1000\u102d\u102f \u101b\u1000\u103a\u1005\u103d\u1032\/\u1021\u1001\u103b\u102d\u1014\u103a\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>
 \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":"
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\u101b\u1000\u103a\u1005\u103d\u1032\u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1019\u103e\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1015\u102b\u104b df_met_due_date = df[df[‘ comp_date […]<\/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 \u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1014\u103e\u102d\u102f\u1004\u103a\u1038\u101a\u103e\u1009\u103a\u1014\u100a\u103a\u1038 (\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a) - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a 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content=\"https:\/\/statorials.org\/my\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u101b\u1000\u103a\u1005\u103d\u1032\u1019\u103b\u102c\u1038\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T05:34:42+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" 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