{"id":3839,"date":"2023-07-15T06:06:23","date_gmt":"2023-07-15T06:06:23","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%87%e1%80%9a%e1%80%ac%e1%80%b8%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%81%e1%80%af\/"},"modified":"2023-07-15T06:06:23","modified_gmt":"2023-07-15T06:06:23","slug":"pandas-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%87%e1%80%9a%e1%80%ac%e1%80%b8%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%81%e1%80%af","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%87%e1%80%9a%e1%80%ac%e1%80%b8%e1%80%94%e1%80%be%e1%80%85%e1%80%ba%e1%80%81%e1%80%af\/","title":{"rendered":"Pandas dataframe \u1019\u103e \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1006\u103d\u1032\u1019\u101c\u1032\u104b"},"content":{"rendered":"

<\/p>\n

\n

Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u104f \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u101b\u1014\u103a \u1018\u102f\u1036\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u1005\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u101c\u102d\u102f\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. scatter<\/span> (df[' column1<\/span> '], df[' column2<\/span> '])<\/strong><\/span><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1019\u103b\u1009\u103a\u1038\u1002\u101b\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1006\u103d\u1032\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 df. plot<\/span> (x=' column1<\/span> ',y=[' column2<\/span> ',' column3<\/span> '])\n<\/strong><\/span><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \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\u1001\u103b\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- \u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u1005\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1006\u103d\u1032\u1001\u103b\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \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\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4<\/strong><\/span><\/pre>\n
 x-axis \u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1004\u1037\u103a y-axis \u101b\u103e\u102d assists<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u102d\u102f\u1037\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u1037\u103a scatterplot \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\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
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df[' points<\/span> '], df[' assists<\/span> '])\n\n#add axis labels\n<\/span>plt. xlabel<\/span> (' Points<\/span> ')\nplt. ylabel<\/span> (' Assists<\/span> ')<\/strong><\/span> <\/pre>\n
\"\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a<\/p>\n
 X \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1010\u103d\u1004\u103a \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038 \u1015\u102b\u1040\u1004\u103a\u1015\u103c\u102e\u1038 Y \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1010\u103d\u1004\u103a \u1021\u1011\u1031\u102c\u1000\u103a\u1021\u1000\u1030\u1015\u103c\u102f<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038 \u1015\u102b\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1019\u103b\u1009\u103a\u1038\u1002\u101b\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1006\u103d\u1032\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u101b\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1002\u102d\u1019\u103a\u1038\u1001\u103c\u1031\u102c\u1000\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1021\u101e\u1004\u103a\u1038\u1019\u103e \u1001\u103d\u1004\u1037\u103a\u1015\u103c\u102f\u1011\u102c\u1038\u101e\u1031\u102c \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \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\n<\/span>df = pd. DataFrame<\/span> ({' game<\/span> ': [1, 2, 3, 4, 5, 6],\n                   ' points_for<\/span> ': [99, 94, 92, 90, 87, 85],\n                   ' points_against<\/span> ': [89, 76, 78, 78, 85, 87]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   game points_for points_against\n0 1 99 89\n1 2 94 76\n2 3 92 78\n3 4 90 78\n4 5 87 85\n5 6 85 87\n<\/strong><\/span><\/pre>\n
 x-axis \u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1002\u102d\u1019\u103a\u1038<\/strong> \u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u1031\u1005\u1009\u103a\u1010\u1005\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1010\u103d\u1004\u103a point_for<\/strong> \u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1014\u103e\u1004\u1037\u103a\u1021\u1001\u103c\u102c\u1038\u101c\u102d\u102f\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u101b\u103e\u102d point_against \u1000\u102d\u102f<\/strong> \u1015\u103c\u101e\u101e\u1031\u102c\u1019\u103b\u1009\u103a\u1038\u1007\u101a\u102c\u1038\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a\u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span> <\/p>\n
 #plot points_for and points_against columns on same y-axis\n<\/span>df. plot<\/span> (x=' game<\/span> ', y=[' points_for<\/span> ', ' points_against<\/span> '])<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 \u1021\u1015\u103c\u102c\u101c\u102d\u102f\u1004\u103a\u1038\u101e\u100a\u103a \u1002\u102d\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101b\u103e\u102d point_for<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\u1015\u103c\u102e\u1038 \u101c\u102d\u1019\u1039\u1019\u1031\u102c\u103a\u101b\u1031\u102c\u1004\u103a\u1019\u103b\u1009\u103a\u1038\u101e\u100a\u103a \u1002\u102d\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101b\u103e\u102d point_against<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1000\u102d\u102f\u101a\u103a\u1005\u102c\u1038\u1015\u103c\u102f\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\u1021\u101c\u102f\u1015\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 Groupby \u1014\u103e\u1004\u1037\u103a Plot \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038<\/a>
 Pandas \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038 \u1016\u103c\u1014\u1037\u103a\u1001\u103b\u102e\u1015\u102f\u1036\u1000\u102d\u102f \u1000\u103c\u1036\u1005\u100a\u103a\u1015\u102f\u1036<\/a>
 \u1015\u1014\u103a\u1012\u102b\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1015\u102f\u1036\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u104f \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u101b\u1014\u103a \u1018\u102f\u1036\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u1005\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u101b\u103e\u102d \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u101c\u102d\u102f\u1000\u103a\u1015\u102b\u104b import matplotlib. pyplot as plt plt. scatter (df[‘ column1 ‘], df[‘ column2 ‘]) \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1019\u103b\u1009\u103a\u1038\u1002\u101b\u1015\u103a\u1010\u1005\u103a\u1001\u102f\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u103b\u1009\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1021\u1016\u103c\u1005\u103a \u1006\u103d\u1032\u1015\u102b\u104b df. plot (x=’ column1 ‘,y=[‘ column2 ‘,’ column3 ‘]) \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \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\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- 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