{"id":973,"date":"2023-07-28T03:22:54","date_gmt":"2023-07-28T03:22:54","guid":{"rendered":"https:\/\/statorials.org\/my\/stack-pandas-%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%98%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8\/"},"modified":"2023-07-28T03:22:54","modified_gmt":"2023-07-28T03:22:54","slug":"stack-pandas-%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%98%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/stack-pandas-%e1%80%92%e1%80%b1%e1%80%90%e1%80%ac%e1%80%98%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8\/","title":{"rendered":"Pandas dataframes \u1019\u103b\u102d\u102f\u1038\u1005\u102f\u1036\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1005\u102f\u1019\u101c\u1032\u104b"},"content":{"rendered":"

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\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f \u101e\u1004\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1014\u103e\u1005\u103a\u1000\u1031\u102c\u1004\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c DataFrames \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102f\u1011\u102c\u1038\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a pandas concat()<\/a> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a \u101c\u103d\u101a\u103a\u1000\u1030\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u104e\u1004\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1015\u102f\u1036\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1025\u1015\u1019\u102c 1- Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1005\u102f\u1011\u102c\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n

\u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u101d\u1000\u103a\u101d\u1036 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a “ \u1005\u102f\u1015\u102f\u1036” \u1015\u103c\u102e\u1038 DataFrame \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#create two DataFrames<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                    'points':[12, 5, 13, 17, 27]})\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n                    'points':[24, 26, 27, 27, 12]})\n\n#\"stack\" the two DataFrames together<\/span>\ndf3 = pd. concat<\/span> ([df1,df2], ignore_index= True<\/span> )\n\n#view resulting DataFrame<\/span>\ndf3\n\n\tplayer points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 2- Pandas DataFrames \u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1005\u102f\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 DataFrame \u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1014\u103a \u1021\u101c\u102c\u1038\u1010\u1030\u1000\u102f\u1012\u103a\u101e\u102f\u1036\u1038\u1001\u102f\u1000\u102d\u102f \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f \u1011\u102d\u1015\u103a\u1010\u103d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u101d\u1000\u103a\u101d\u1036 DataFrame \u101e\u102f\u1036\u1038\u1001\u102f\u1005\u102f\u1011\u102c\u1038\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create three DataFrames<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                    'points':[12, 5, 13, 17, 27]})\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n                    'points':[24, 26, 27, 27, 12]})\n\ndf3 = pd.DataFrame({'player': ['K', 'L', 'M', 'N', 'O'],\n                    'points':[9, 5, 5, 13, 17]})\n\n#\"stack\" the two DataFrames together<\/span>\ndf4 = pd. concat<\/span> ([df1,df2, df3], ignore_index= True<\/span> )\n\n#view resulting DataFrame<\/span>\ndf4\n\n        player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n5 F 24\n6 G 26\n7:27 a.m.\n8 I 27\n9 D 12\n10K 9\n11 L 5\n12 M 5\n13 N 13\n14 O 17<\/strong><\/pre>\n
 ignore_index \u104f \u1021\u101b\u1031\u1038\u1015\u102b\u1019\u103e\u102f<\/strong><\/span><\/h3>\n
 \u101a\u1001\u1004\u103a\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a ignore_index=True \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u1032\u1037\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u104e\u1004\u103a\u1038\u101e\u100a\u103a DataFrame \u1010\u1005\u103a\u1001\u102f\u1005\u102e\u101b\u103e\u102d \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1000\u102d\u1014\u103a\u1038\u1014\u1036\u1015\u102b\u1010\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101c\u103b\u1005\u103a\u101c\u103b\u1030\u101b\u103e\u102f\u101b\u1014\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1011\u102c\u1038\u1015\u103c\u102e\u1038 DataFrame \u1021\u101e\u1005\u103a\u1021\u1010\u103d\u1000\u103a 0 \u1019\u103e n-1 \u1021\u1011\u102d \u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1021\u101e\u1005\u103a\u1010\u1005\u103a\u1001\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1015\u102b\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a ignore_index=\u1021\u1031\u102c\u1000\u103a\u1015\u102b DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1011\u1015\u103a\u1005\u100a\u103a\u1038\u1011\u102c\u1038\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a ignore_index=True \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1019\u1015\u103c\u102f\u101e\u1031\u102c\u1021\u1001\u102b \u1018\u102c\u1016\u103c\u1005\u103a\u1019\u100a\u103a\u1000\u102d\u102f \u101e\u102f\u1036\u1038\u101e\u1015\u103a\u1015\u102b\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create two DataFrames with indices<\/span>\ndf1 = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                    'points':[12, 5, 13, 17, 27]},\n                    index=[0, 1, 2, 3, 4])\n\ndf2 = pd.DataFrame({'player': ['F', 'G', 'H', 'I', 'J'],\n                    'points':[24, 26, 27, 27, 12]},\n                    index=[2, 4, 5, 6, 9])\n\n#stack the two DataFrames together<\/span>\ndf3 = pd. concat<\/span> ([df1,df2])\n\n#view resulting DataFrame<\/span>\ndf3\n\n        player points\n0 to 12\n1 B 5\n2 C 13\n3 D 17\n4 E 27\n2 F 24\n4G 26\n5:27 a.m.\n6 I 27\n9 D 12\n<\/strong><\/pre>\n
 \u101b\u101c\u1012\u103a DataFrame \u101e\u100a\u103a DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u1019\u103e \u104e\u1004\u103a\u1038\u104f\u1019\u1030\u101c\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1006\u1000\u103a\u101c\u1000\u103a\u1011\u102d\u1014\u103a\u1038\u101e\u102d\u1019\u103a\u1038\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1011\u102d\u102f\u1037\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u101e\u1004\u103a\u101e\u100a\u103a \u1019\u1030\u101b\u1004\u103a\u1038\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1011\u102d\u1014\u103a\u1038\u101e\u102d\u1019\u103a\u1038\u101b\u1014\u103a \u1010\u102d\u1000\u103b\u101e\u1031\u102c\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1015\u103c\u1001\u103b\u1000\u103a\u1019\u101b\u103e\u102d\u1015\u102b\u1000 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f stacking \u101c\u102f\u1015\u103a\u101e\u1031\u102c\u1021\u1001\u102b \u101a\u1031\u1018\u1030\u101a\u103b\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a ignore_index=True \u1000\u102d\u102f<\/strong> \u101e\u102f\u1036\u1038\u101e\u1004\u1037\u103a\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 Pandas \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 DataFrame \u1010\u103d\u1004\u103a \u1021\u101c\u103d\u1010\u103a\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u1011\u100a\u1037\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1011\u100a\u1037\u103a\u101e\u103d\u1004\u103a\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas DataFrame \u1000\u102d\u102f Excel \u101e\u102d\u102f\u1037 \u1010\u1004\u103a\u1015\u102d\u102f\u1037\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1019\u1000\u103c\u102c\u1001\u100f\u1006\u102d\u102f\u101e\u101c\u102d\u102f \u101e\u1004\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1014\u103e\u1005\u103a\u1000\u1031\u102c\u1004\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c DataFrames \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102f\u1011\u102c\u1038\u101c\u102d\u102f\u1015\u1031\u1019\u100a\u103a\u104b \u1000\u1036\u1000\u1031\u102c\u1004\u103a\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a pandas concat() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1014\u103a \u101c\u103d\u101a\u103a\u1000\u1030\u101e\u100a\u103a\u104b \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u104e\u1004\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u102f\u101c\u102f\u1015\u103a\u1015\u102f\u1036\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c 1- Pandas DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1005\u102f\u1011\u102c\u1038\u1015\u102b\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u101d\u1000\u103a\u101d\u1036 DataFrames \u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1010\u1005\u103a\u1001\u102f\u1014\u103e\u1004\u1037\u103a\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a\u1010\u103d\u1004\u103a “ \u1005\u102f\u1015\u102f\u1036” \u1015\u103c\u102e\u1038 DataFrame \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- import pandas as pd #create two DataFrames df1 = pd.DataFrame({‘player’: [‘A’, ‘B’, ‘C’, ‘D’, ‘E’], ‘points’:[12, 5, 13, […]<\/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 DataFrames \u1021\u1019\u103c\u1031\u102c\u1000\u103a\u1021\u1019\u103c\u102c\u1038\u1000\u102d\u102f Stack \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038 - Statology<\/title>\n<meta name=\"description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c \u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u1014\u103a\u1012\u102b\u1014\u103e\u1005\u103a\u1000\u1031\u102c\u1004\u103a \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1011\u102d\u102f\u1037\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c DataFrames \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1005\u102f\u1005\u100a\u103a\u1038\u1015\u102f\u1036\u104f \u101b\u102d\u102f\u1038\u101b\u103e\u1004\u103a\u1038\u101e\u1031\u102c \u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\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\/stack-pandas-\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas DataFrames \u1021\u1019\u103c\u1031\u102c\u1000\u103a\u1021\u1019\u103c\u102c\u1038\u1000\u102d\u102f Stack \u101c\u102f\u1015\u103a\u1014\u100a\u103a\u1038 - Statology\" \/>\n<meta property=\"og:description\" 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