{"id":3800,"date":"2023-07-15T11:21:02","date_gmt":"2023-07-15T11:21:02","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8f-%d1%83%d0%bd%d0%b8%d0%ba%d0%b0%d0%bb%d1%8c%d0%bd%d0%be%d0%b3%d0%be-%d0%b8%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%b0-pandas\/"},"modified":"2023-07-15T11:21:02","modified_gmt":"2023-07-15T11:21:02","slug":"%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8f-%d1%83%d0%bd%d0%b8%d0%ba%d0%b0%d0%bb%d1%8c%d0%bd%d0%be%d0%b3%d0%be-%d0%b8%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%b0-pandas","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8f-%d1%83%d0%bd%d0%b8%d0%ba%d0%b0%d0%bb%d1%8c%d0%bd%d0%be%d0%b3%d0%be-%d0%b8%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%b0-pandas\/","title":{"rendered":"Pandas: \u043a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 DataFrame pandas:<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u043e\u0431 1: \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430<\/strong><\/span><\/p>\n

 df. index<\/span> . single<\/span> ()\n<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 2: \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 MultiIndex<\/strong><\/span><\/p>\n
 df. index<\/span> . unique<\/span> (' some_column<\/span> ')<\/strong><\/pre>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430<\/strong><\/span><\/h2>\n
 \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas:<\/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
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 DataFrame:<\/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
 \u041d\u0430 \u0432\u044b\u0445\u043e\u0434\u0435 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442\u0441\u044f \u043a\u0430\u0436\u0434\u043e\u0435 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u043e\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 \u0438\u043d\u0434\u0435\u043a\u0441\u0430.<\/span><\/p>\n
 \u041c\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u044e len()<\/strong> \u0434\u043b\u044f \u043f\u043e\u0434\u0441\u0447\u0435\u0442\u0430 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 \u0438\u043d\u0434\u0435\u043a\u0441\u0430:<\/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
 \u041c\u044b \u0432\u0438\u0434\u0438\u043c, \u0447\u0442\u043e \u0432 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u043c \u0441\u0442\u043e\u043b\u0431\u0446\u0435 DataFrame \u0438\u043c\u0435\u0435\u0442\u0441\u044f 5<\/strong> \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0438\u0437 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 MultiIndex<\/strong><\/span><\/h2>\n
 \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas:<\/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
 \u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u044d\u0442\u043e\u0442 DataFrame \u0438\u043c\u0435\u0435\u0442 multiIndex.<\/span><\/p>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043e\u0434\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 Team<\/strong> \u043c\u0443\u043b\u044c\u0442\u0438\u0438\u043d\u0434\u0435\u043a\u0441\u0430:<\/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
 \u0412 \u0432\u044b\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0442\u0441\u044f \u0447\u0435\u0442\u044b\u0440\u0435 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 Team<\/strong> \u043c\u0443\u043b\u044c\u0442\u0438\u0438\u043d\u0434\u0435\u043a\u0441\u0430: A, B, C \u0438 D.<\/span><\/p>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u044f \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0438\u0437 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 Division<\/strong> \u043c\u0443\u043b\u044c\u0442\u0438\u0438\u043d\u0434\u0435\u043a\u0441\u0430:<\/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
 \u0412 \u0432\u044b\u0432\u043e\u0434\u0435 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0442\u0441\u044f \u0434\u0432\u0430 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0441\u0442\u043e\u043b\u0431\u0446\u0430 Division<\/b> \u043c\u0443\u043b\u044c\u0442\u0438\u0438\u043d\u0434\u0435\u043a\u0441\u0430: West \u0438 East.<\/span><\/p>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h2>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0432 pandas:<\/span><\/p>\n
 \u041a\u0430\u043a \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0438\u043d\u0434\u0435\u043a\u0441 \u0432 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0432 Pandas<\/a>
 \u041a\u0430\u043a \u043f\u0435\u0440\u0435\u0438\u043c\u0435\u043d\u043e\u0432\u0430\u0442\u044c \u0438\u043d\u0434\u0435\u043a\u0441 \u0432 Pandas<\/a>
 \u041a\u0430\u043a \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u043a\u0430\u043a \u0438\u043d\u0434\u0435\u043a\u0441 \u0432 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 DataFrame pandas: \u0421\u043f\u043e\u0441\u043e\u0431 1: \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 df. index . single () \u0421\u043f\u043e\u0441\u043e\u0431 2: \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u0432 MultiIndex df. index . unique (‘ some_column ‘) \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435. \u041f\u0440\u0438\u043c\u0435\u0440 1. \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3800","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\nPandas: \u041a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u0434\u0435\u043a\u0441\u0430 \u0438\u0437 DataFrame pandas, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b.\" \/>\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\/ru\/\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f-\u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e-\u0438\u043d\u0434\u0435\u043a\u0441\u0430-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u041a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u043d\u0434\u0435\u043a\u0441\u0430 \u0438\u0437 DataFrame pandas, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f-\u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e-\u0438\u043d\u0434\u0435\u043a\u0441\u0430-pandas\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-15T11:21:02+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u043c\u0438\u043d\u0443\u0442\u0430\" \/>\n<script type=\"application\/ld+json\" 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\u043f\u0440\u0438\u043c\u0435\u0440\u044b.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ru\/%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8f-%d1%83%d0%bd%d0%b8%d0%ba%d0%b0%d0%bb%d1%8c%d0%bd%d0%be%d0%b3%d0%be-%d0%b8%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%b0-pandas\/#breadcrumb\"},\"inLanguage\":\"ru-RU\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ru\/%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8f-%d1%83%d0%bd%d0%b8%d0%ba%d0%b0%d0%bb%d1%8c%d0%bd%d0%be%d0%b3%d0%be-%d0%b8%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%b0-pandas\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ru\/%d0%b7%d0%bd%d0%b0%d1%87%d0%b5%d0%bd%d0%b8%d1%8f-%d1%83%d0%bd%d0%b8%d0%ba%d0%b0%d0%bb%d1%8c%d0%bd%d0%be%d0%b3%d0%be-%d0%b8%d0%bd%d0%b4%d0%b5%d0%ba%d1%81%d0%b0-pandas\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0414\u043e\u043c\",\"item\":\"https:\/\/statorials.org\/ru\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Pandas: \u043a\u0430\u043a \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u0438\u043d\u0434\u0435\u043a\u0441\u043d\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ru\/#website\",\"url\":\"https:\/\/statorials.org\/ru\/\",\"name\":\"Statorials\",\"description\":\"\u0412\u0430\u0448 \u043f\u0443\u0442\u0435\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c \u043f\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0433\u0440\u0430\u043c\u043e\u0442\u043d\u043e\u0441\u0442\u0438!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ru\/?s={search_term_string}\"},\"query-input\":\"required 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\u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0438\u0438, \u0441\u0442\u0430\u0432\u0448\u0438\u0439 \u043f\u0440\u0435\u0434\u0430\u043d\u043d\u044b\u043c \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u0435\u043c Statorials. \u0418\u043c\u0435\u044f \u043e\u0431\u0448\u0438\u0440\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0445\u043e\u0447\u0443 \u043f\u043e\u0434\u0435\u043b\u0438\u0442\u044c\u0441\u044f \u0441\u0432\u043e\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0441\u0448\u0438\u0440\u0438\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e 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