{"id":4319,"date":"2023-07-12T01:20:23","date_gmt":"2023-07-12T01:20:23","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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/"},"modified":"2023-07-12T01:20:23","modified_gmt":"2023-07-12T01:20:23","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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86","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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/","title":{"rendered":"Pandas- describe() \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

pandas DataFrame \u1021\u1010\u103d\u1004\u103a\u1038\u101b\u103e\u102d variable \u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a descriptive statistics \u1000\u102d\u102f<\/a> \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a describe()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\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

describe()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u104f output \u1019\u103e \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\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

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a describe() \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 df[' my_column<\/span> ']. describe<\/span> (). apply<\/span> ( lambda<\/span> x: format<\/span> (x, ' f<\/span> '))<\/strong><\/span><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a describe() \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 df. describe<\/span> (). apply<\/span> ( lambda<\/span> x: x.apply<\/span> (' {0:.5f}<\/span> '. format<\/span> ))\n<\/strong><\/span><\/pre>\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 pandas DataFrame \u1016\u103c\u1004\u1037\u103a \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \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<\/span>\ndf = pd. DataFrame<\/span> ({' store<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' sales<\/span> ': [8450550, 406530, 53000, 6000, 2000, 4000, 5400, 6500],\n                   ' returns<\/span> ':[2212200, 145200, 300, 2500, 700, 600, 800, 1200]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  store sales returns\n0 A 8450550 2212200\n1 A 406530 145200\n2 A 53000 300\n3 A 6000 2500\n4 B 2000 700\n5 B 4000 600\n6 B 5400 800\n7 B 6500 1200<\/strong><\/span><\/pre>\n
 \u1025\u1015\u1019\u102c 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a describe() \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u101b\u1031\u102c\u1004\u103a\u1038<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1010\u103d\u1000\u103a \u101e\u101b\u102f\u1015\u103a\u1016\u1031\u102c\u103a\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a describe()<\/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\u1015\u102b\u1000\u104a \u1021\u1011\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1015\u103c\u101e\u1015\u102b\u1019\u100a\u103a-<\/span><\/p>\n
 #calculate descriptive statistics for sales column\ndf[' sales<\/span> ']. describe<\/span> ()\n<\/span>\n<\/span>count 8.000000e+00\nmean 1.116748e+06\nstd 2.966552e+06\nmin 2.000000e+03\n25% 5.050000e+03\n50% 6.250000e+03\n75% 1.413825e+05\nmax 8.450550e+06\nName: sales, dtype: float64<\/strong><\/pre>\n
 \u1021\u1011\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1015\u103c\u101e\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/span><\/p>\n
 \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1011\u103d\u1000\u103a\u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/span><\/p>\n
 #calculate descriptive statistics for sales column and suppress scientific notation<\/span>\ndf[' sales<\/span> ']. describe<\/span> (). apply<\/span> ( lambda<\/span> x: format<\/span> (x, ' f<\/span> '))\n\ncount 8.000000\nmean 1116747.500000\nstd 2966551.594104\nmin 2000.000000\n25% 5050.000000\n50% 6250.000000\n75% 141382.500000\nmax 8450550.000000\nName: sales, dtype: object\n<\/strong><\/span><\/pre>\n
 output \u1019\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101a\u1001\u102f\u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u1015\u102b\u1018\u1032\u1015\u103c\u101e\u101e\u100a\u103a\u1000\u102d\u102f\u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a describe() \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u102c\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u101e\u101b\u102f\u1015\u103a\u1016\u1031\u102c\u103a\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a describe()<\/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\u1015\u102b\u1000\u104a \u1021\u1011\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1015\u103c\u101e\u1015\u102b\u1019\u100a\u103a-<\/span><\/p>\n
 #calculate descriptive statistics for each numeric column\ndf. describe<\/span> ()\n<\/span><\/span>\n               sales returns\ncount 8.000000e+00 8.000000e+00\nmean 1.116748e+06 2.954375e+05\nstd 2.966552e+06 7.761309e+05\nmin 2.000000e+03 3.000000e+02\n25% 5.050000e+03 6.750000e+02\n50% 6.250000e+03 1.000000e+03\n75% 1.413825e+05 3.817500e+04\nmax 8.450550e+06 2.212200e+06<\/strong><\/pre>\n
 \u1021\u1011\u103d\u1000\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1015\u103c\u101e\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u1011\u103d\u1000\u103a\u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\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
 #calculate descriptive statistics for numerical columns and suppress scientific notation<\/span>\ndf. describe<\/span> (). apply<\/span> ( lambda<\/span> x: x.apply<\/span> (' {0:.5f}<\/span> '. format<\/span> ))\n\n                sales returns\ncount 8.00000 8.00000\nmean 1116747.50000 295437.50000\nstd 2966551.59410 776130.93692\nmin 2000.00000 300.00000\n25% 5050.00000 675.00000\n50% 6250.00000 1000.00000\n75% 141382.50000 38175.00000\nmax 8450550.00000 2212200.00000\n<\/strong><\/span><\/pre>\n
 output \u1019\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u101a\u1001\u102f\u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u1015\u102b\u1018\u1032\u1015\u103c\u101e\u101e\u100a\u103a\u1000\u102d\u102f\u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1024\u1025\u1015\u1019\u102c\u1010\u103d\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a \u1021\u1011\u103d\u1000\u103a\u1010\u103d\u1004\u103a \u1012\u103f\u1019 \u1045<\/strong> \u1014\u1031\u101b\u102c\u1015\u103c\u101e\u101b\u1014\u103a 0:.5f \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1011\u102c\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1012\u103f\u1019\u1014\u1031\u101b\u102c\u1019\u103b\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101b\u1014\u103a 5<\/strong> \u1000\u102d\u102f \u1019\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u1014\u1036\u1015\u102b\u1010\u103a\u1016\u103c\u1004\u1037\u103a \u1021\u1005\u102c\u1038\u1011\u102d\u102f\u1038\u101b\u1014\u103a \u1021\u102c\u1038\u1019\u1014\u102c\u1015\u102b\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- \u1021\u102f\u1015\u103a\u1005\u102f\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u1005\u102f\u1006\u1031\u102c\u1004\u103a\u1038\u1004\u103d\u1031\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas- \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101b\u1031\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas- \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1006\u1000\u103a\u1005\u1015\u103a\u1019\u103e\u102f\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
pandas DataFrame \u1021\u1010\u103d\u1004\u103a\u1038\u101b\u103e\u102d variable \u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a descriptive statistics \u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a describe() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\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 describe() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u104f output \u1019\u103e \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a describe() \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b df[‘ my_column ‘]. describe (). apply ( lambda x: format (x, ‘ f ‘)) \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a describe() \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u1037\u103a\u1021\u1001\u102b \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c\u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1015\u102b\u104b df. describe (). apply ( […]<\/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- describe() \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038 - Statology<\/title>\n<meta name=\"description\" content=\"\u1024\u1000\u103b\u1030\u1010\u102d\u102f\u101b\u102e\u101b\u101a\u103a\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a describe() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1021\u1011\u103d\u1000\u103a\u101b\u103e\u102d \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a \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-\u101e\u102d\u1015\u1039\u1015\u1036\u1015\u100a\u102c\u1006\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas- describe() \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038 - Statology\" \/>\n<meta property=\"og:description\" content=\"\u1024\u1000\u103b\u1030\u1010\u102d\u102f\u101b\u102e\u101b\u101a\u103a\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a describe() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1021\u1011\u103d\u1000\u103a\u101b\u103e\u102d \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\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\/\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u101e\u100a\u103a-\u101e\u102d\u1015\u1039\u1015\u1036\u1015\u100a\u102c\u1006\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T01:20:23+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\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/\",\"url\":\"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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/\",\"name\":\"Pandas- describe() \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u101e\u102d\u1015\u1039\u1015\u1036\u1014\u100a\u103a\u1038\u1000\u103b \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038 - Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/my\/#website\"},\"datePublished\":\"2023-07-12T01:20:23+00:00\",\"dateModified\":\"2023-07-12T01:20:23+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/my\/#\/schema\/person\/e47470981684a202f7ed4c0cb1e10097\"},\"description\":\"\u1024\u1000\u103b\u1030\u1010\u102d\u102f\u101b\u102e\u101b\u101a\u103a\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a describe() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1015\u102f\u1036\u1014\u103e\u1004\u1037\u103a \u1025\u1015\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1021\u1011\u103d\u1000\u103a\u101b\u103e\u102d \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\",\"breadcrumb\":{\"@id\":\"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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/#breadcrumb\"},\"inLanguage\":\"my-MM\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"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%9e%e1%80%ad%e1%80%95%e1%80%b9%e1%80%95%e1%80%b6%e1%80%95%e1%80%8a%e1%80%ac%e1%80%86\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u1021\u102d\u1019\u103a\",\"item\":\"https:\/\/statorials.org\/my\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas- describe() \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1014\u103e\u1004\u1037\u103a \u101e\u102d\u1015\u1039\u1015\u1036\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u1019\u103e\u1010\u103a\u1021\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/my\/#website\",\"url\":\"https:\/\/statorials.org\/my\/\",\"name\":\"Statorials\",\"description\":\"\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1006\u102d\u102f\u1004\u103a\u101b\u102c \u1021\u101b\u100a\u103a\u1021\u1001\u103b\u1004\u103a\u1038\u1021\u1010\u103d\u1000\u103a 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