{"id":3131,"date":"2023-07-19T01:45:37","date_gmt":"2023-07-19T01:45:37","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%9e%e1%80%ad%e1%80%af%e1%80%b7%e1%80%99%e1%80%9f%e1%80%af%e1%80%90%e1%80%ba-%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%90%e1%80%bd%e1%80%84%e1%80%ba\/"},"modified":"2023-07-19T01:45:37","modified_gmt":"2023-07-19T01:45:37","slug":"%e1%80%9e%e1%80%ad%e1%80%af%e1%80%b7%e1%80%99%e1%80%9f%e1%80%af%e1%80%90%e1%80%ba-%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%90%e1%80%bd%e1%80%84%e1%80%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%9e%e1%80%ad%e1%80%af%e1%80%b7%e1%80%99%e1%80%9f%e1%80%af%e1%80%90%e1%80%ba-%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%90%e1%80%bd%e1%80%84%e1%80%ba\/","title":{"rendered":"Pandas \u1010\u103d\u1004\u103a "or" \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030)"},"content":{"rendered":"

<\/p>\n

\n

|<\/strong> \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u201cOR\u201d \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u1016\u103c\u1005\u103a \u101e\u1004\u103a\u1039\u1000\u1031\u1010\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1001\u103c\u1031\u1021\u1014\u1031 1 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a<\/strong> \u1021\u1001\u103c\u1031\u1021\u1014\u1031 2 \u1000\u102d\u102f \u1000\u103b\u1031\u1014\u1015\u103a\u1005\u1031\u101e\u1031\u102c pandas DataFrame \u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 df[(condition1) | (condition2)]\n<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1024 “ OR”  \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 1- Pandas \u101b\u103e\u102d \u1002\u100f\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a “ OR”  \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\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\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'],\n                   ' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n        team points assists rebounds\n0 to 25 5 11\n1 to 12 7 8\n2 B 15 7 10\n3 B 14 9 6\n4 B 19 12 6\n5 B 23 9 5\n6 C 25 9 9\n7 C 29 4 12<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038 \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 20 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u101e\u100a\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a<\/strong> assists \u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 9 \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u101e\u100a\u1037\u103a DataFrame \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\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
 #filter rows where points > 20 or assists = 9<\/span>\ndf[(df. points<\/span> > 20) | (df. assists<\/span> == 9)]\n\n        team points assists rebounds\n0 to 25 5 11\n3 B 14 9 6\n5 B 23 9 5\n6 C 25 9 9\n7 C 29 4 12<\/span><\/strong><\/pre>\n
 \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u1037\u103a \u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u101e\u1031\u102c\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1019\u103e\u1010\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038 20 \u1011\u1000\u103a\u1000\u103c\u102e\u1038\u101e\u100a\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a<\/strong> assists \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 9 \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u101e\u100a\u1037\u103a\u1014\u1031\u101b\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- Pandas \u101b\u103e\u102d \u1000\u103c\u102d\u102f\u1038\u1010\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a “ OR”  \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102b<\/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\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' position<\/span> ': ['G', 'G', 'F', 'F', 'C', 'F', 'C', 'C'],\n                   ' conference<\/span> ': ['W', 'W', 'W', 'W', 'E', 'E', 'E', 'E'],\n                   ' points<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team position conference points\n0 AGW 11\n1 BGW 8\n2 CFW 10\n3DFW 6\n4 ECE 6\n5 FFE 5\n6 GCE 9\n7 HCE 12<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1014\u1031\u1021\u1011\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a G \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u101e\u100a\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a<\/strong> \u101b\u102c\u1011\u1030\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a F \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u101e\u100a\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a<\/strong> \u1021\u1016\u103d\u1032\u1037\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a H \u1014\u103e\u1004\u1037\u103a \u100a\u102e\u1019\u103b\u103e\u101e\u100a\u1037\u103a DataFrame \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\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
 #filter rows based on string values<\/span>\ndf[( df.team<\/span> == ' H<\/span> ') | (df. position<\/span> == ' G<\/span> ') | (df. position<\/span> == ' F<\/span> ')]\n\n     team position conference points\n0 A G W 11\n1 B G W 8\n2 C F W 10\n3 D F W 6\n5 F F E 5\n7 H C E 12<\/span><\/strong><\/pre>\n
 \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u1037\u103a \u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u101e\u1031\u102c\u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1001\u103c\u1031\u1021\u1014\u1031 \u101e\u102f\u1036\u1038\u1001\u102f\u1021\u1014\u1000\u103a \u1021\u1014\u100a\u103a\u1038\u1006\u102f\u1036\u1038\u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\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><\/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 \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
 \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a Pandas DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1014\u100a\u103a\u1038
 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>
 \u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1010\u103d\u1004\u103a Pandas DataFrame \u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
| \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u201cOR\u201d \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u1016\u103c\u1005\u103a \u101e\u1004\u103a\u1039\u1000\u1031\u1010\u104b \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1001\u103c\u1031\u1021\u1014\u1031 1 \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1021\u1001\u103c\u1031\u1021\u1014\u1031 2 \u1000\u102d\u102f \u1000\u103b\u1031\u1014\u1015\u103a\u1005\u1031\u101e\u1031\u102c pandas DataFrame \u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b df[(condition1) | (condition2)] \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1024 “ OR” \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- Pandas \u101b\u103e\u102d \u1002\u100f\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u1005\u103a\u1011\u102f\u1010\u103a\u101b\u1014\u103a “ OR” \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\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 […]<\/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 \u201cOR\u201d \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u102c\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030) \u2013 Statorials<\/title>\n<meta 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\u1010\u103d\u1004\u103a \u201cOR\u201d \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c\u1021\u102c\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1010\u1030) \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a "OR" \u1021\u1031\u102c\u103a\u1015\u101b\u1031\u1010\u102c \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1000\u102d\u102f \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/\u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a-\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-19T01:45:37+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=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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