{"id":3802,"date":"2023-07-15T11:21:02","date_gmt":"2023-07-15T11:21:02","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-%e1%80%91%e1%80%b0%e1%80%b8%e1%80%81%e1%80%bc%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%b1%e1%80%ac%e1%80%a1%e1%80%8a%e1%80%bd%e1%80%be%e1%80%94%e1%80%ba%e1%80%b8%e1%80%90%e1%80%94%e1%80%ba%e1%80%96\/"},"modified":"2023-07-15T11:21:02","modified_gmt":"2023-07-15T11:21:02","slug":"pandas-%e1%80%91%e1%80%b0%e1%80%b8%e1%80%81%e1%80%bc%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%b1%e1%80%ac%e1%80%a1%e1%80%8a%e1%80%bd%e1%80%be%e1%80%94%e1%80%ba%e1%80%b8%e1%80%90%e1%80%94%e1%80%ba%e1%80%96","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-%e1%80%91%e1%80%b0%e1%80%b8%e1%80%81%e1%80%bc%e1%80%ac%e1%80%b8%e1%80%9e%e1%80%b1%e1%80%ac%e1%80%a1%e1%80%8a%e1%80%bd%e1%80%be%e1%80%94%e1%80%ba%e1%80%b8%e1%80%90%e1%80%94%e1%80%ba%e1%80%96\/","title":{"rendered":"Pandas- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u101a\u1030\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b"},"content":{"rendered":"

<\/p>\n

\n

\u1015\u1014\u103a\u1012\u102b DataFrame \u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u104f \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\u101b\u103e\u102d\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- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \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\u101a\u1030\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 df. index<\/span> . single<\/span> ()\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- MultiIndex \u101b\u103e\u102d \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1019\u103e \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\u101a\u1030\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 df. index<\/span> . unique<\/span> (' some_column<\/span> ')<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\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 1- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \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\u101a\u1030\u1015\u102b\u104b<\/strong><\/span><\/h2>\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<\/span>\ndf = 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                   index = [0, 1, 1, 1, 2, 2, 3, 4])\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n1 C 19 7\n1 D 14 9\n2 E 14 12\n2 F 11 9\n3 G 20 9\n4:28 4<\/strong><\/pre>\n
 DataFrame \u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u104f \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\u101a\u1030\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
 #get unique values from index column \ndf. index<\/span> . single<\/span> ()\n\nInt64Index([0, 1, 2, 3, 4], dtype='int64')<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1011\u103d\u1000\u103a\u101e\u100a\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1015\u103c\u101e\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101b\u1031\u1010\u103d\u1000\u103a\u101b\u1014\u103a len()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #count number of unique values in index column \nlen<\/span> ( df.index.unique<\/span> (<\/span> ))\n\n5<\/span><\/span><\/strong><\/pre>\n
 DataFrame \u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u103d\u1004\u103a \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038 5 \u1001\u102f<\/strong> \u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \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
 \u1025\u1015\u1019\u102c 2- MultiIndex \u101b\u103e\u102d \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1019\u103e \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\u101a\u1030\u1015\u102b\u104b<\/strong><\/span><\/h2>\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#define index values\n<\/span>index_names = pd. MultiIndex<\/span> . from_tuples<\/span> ([(' West<\/span> ',' A<\/span> '),\n                                         (' West<\/span> ', ' A<\/span> '),\n                                         (' West<\/span> ', ' B<\/span> '),\n                                         (' East<\/span> ', ' C<\/span> '),\n                                         (' East<\/span> ', ' C<\/span> '),\n                                         (' East<\/span> ', ' D<\/span> ')],\n                                       names=[' Division<\/span> ', ' Team<\/span> '])\n\n#define data values\n<\/span>data = {' Sales<\/span> ': [12, 44, 29, 35, 44, 19]}\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> (data, index=index_names)\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n               Sales\nDivision Team       \nWest A 12\n         At 44\n         B29\nEast C 35\n         C 44\n         D 19\n<\/strong><\/pre>\n
 \u1024 DataFrame \u1010\u103d\u1004\u103a multiIndex \u1015\u102b\u101b\u103e\u102d\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 MultiIndex \u104f Team<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1010\u100a\u103a\u1038\u104f \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\u101a\u1030\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
 #get unique values from Team column in multiIndex\ndf. index<\/span> . single<\/span> (' Team<\/span> ')\n\nIndex(['A', 'B', 'C', 'D'], dtype='object', name='Team')\n<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1011\u103d\u1000\u103a\u101e\u100a\u103a multiIndex \u104f Team<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101c\u1031\u1038\u1001\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- A\u104a B\u104a C \u1014\u103e\u1004\u1037\u103a D\u104b<\/span><\/p>\n
 MultiIndex \u104f Division<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1011\u102f\u1010\u103a\u101a\u1030\u101b\u1014\u103a \u1021\u101c\u102c\u1038\u1010\u1030 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
 #get unique values from Division column in multiIndex\ndf. index<\/span> . single<\/span> (' Division<\/span> ')\n\nIndex(['West', 'East'], dtype='object', name='Division')\n<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1011\u103d\u1000\u103a\u101e\u100a\u103a multiIndex \u104f Division<\/b> \u1000\u1031\u102c\u103a\u101c\u1036\u104f \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- \u1021\u1014\u1031\u102c\u1000\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u101b\u103e\u1031\u1037\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 \u101b\u103e\u102d \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u101e\u102d\u102f\u1037 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
 Pandas \u1010\u103d\u1004\u103a \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u1019\u100a\u103a\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u1016\u103c\u1005\u103a \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1015\u1014\u103a\u1012\u102b DataFrame \u104f \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u104f \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\u101b\u103e\u102d\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 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \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\u101a\u1030\u1015\u102b\u104b df. index . single () \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- MultiIndex \u101b\u103e\u102d \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1019\u103e \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\u101a\u1030\u1015\u102b\u104b df. index . unique (‘ some_column ‘) \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\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 1- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103e \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\u101a\u1030\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 #createDataFrame df = 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- \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u101a\u1030\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e 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\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1019\u103e \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u101a\u1030\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e \u1011\u1030\u1038\u1001\u103c\u102c\u1038\u101e\u1031\u102c\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u101b\u103e\u102d\u1014\u102d\u102f\u1004\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 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