{"id":1946,"date":"2023-07-24T08:36:25","date_gmt":"2023-07-24T08:36:25","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-%e1%80%80%e1%80%bd%e1%80%b2%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6\/"},"modified":"2023-07-24T08:36:25","modified_gmt":"2023-07-24T08:36:25","slug":"pandas-%e1%80%80%e1%80%bd%e1%80%b2%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-%e1%80%80%e1%80%bd%e1%80%b2%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6\/","title":{"rendered":"Pandas \u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

pandas DataFrame \u1010\u103d\u1004\u103a string \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 #split column A into two columns: column A and column B<\/span>\ndf[[' A<\/span> ',' B<\/span> ']] = df[' A<\/span> ']. str<\/span> . split<\/span> (' ,<\/span> ', 1<\/span> , expand= True<\/span> )\n<\/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- \u1000\u1031\u102c\u103a\u1019\u102c\u1016\u103c\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1015\u102d\u102f\u1004\u103a\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 \u1000\u1031\u102c\u103a\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1015\u1014\u103a\u1012\u102b DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1014\u103e\u1005\u103a\u1001\u102f\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\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\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs, West', 'Spurs, West', 'Nets, East'],\n                   ' points<\/span> ': [112, 104, 127]})\n\n#view DataFrame<\/span>\ndf\n\n\tteam points\n0 Mavs, West 112\n1 Spurs, West 104\n2 Nets, East 127\n\n#split team column into two columns\n<\/span>df[[' team<\/span> ', ' conference<\/span> ']] = df[' team<\/span> ']. str<\/span> . split<\/span> (' ,<\/span> ', 1<\/span> , expand= True<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n\tteam points conference\n0 Mavs 112 West\n1 Spurs 104 West\n2 Nets 127 East<\/strong><\/pre>\n
 \u1001\u103d\u1032\u1001\u103c\u1019\u103a\u1038\u1019\u103e\u102f\u1000\u102d\u102f \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1015\u103c\u102e\u1038\u1014\u1031\u102c\u1000\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u1005\u102e\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b-<\/span><\/p>\n
 #reorder columns\ndf = df[[' team<\/span> ', ' conference<\/span> ', ' points<\/span> ']]<\/span>\n\n#view DataFrame\n<\/span>df\n\n\tteam conference points\n0 Mavs West 112\n1 Spurs West 104\n2 Nets East 127\n<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 2- \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1021\u1001\u103c\u102c\u1038\u101e\u1031\u102c \u1000\u1014\u1037\u103a\u101e\u1010\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1001\u103d\u1032\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1021\u1001\u103c\u102c\u1038\u1019\u103b\u1009\u103a\u1038\u101e\u102c\u1038\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u101b\u1014\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\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 \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f space<\/strong> \u1010\u1005\u103a\u1001\u102f\u1016\u103c\u1004\u1037\u103a \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs West', 'Spurs West', 'Nets East'],\n                   ' points<\/span> ': [112, 104, 127]})\n<\/span>\n#split team column into two columns<\/span>\ndf[[' team<\/span> ', ' conference<\/span> ']] = df[' team<\/span> ']. str<\/span> . split<\/span> (' ', 1<\/span> , expand= True<\/span> )\n\n#view updated DataFrame<\/span>\ndf\n\n\tteam conference points\n0 Mavs West 112\n1 Spurs West 104\n2 Nets East 127\n<\/span><\/span><\/strong><\/pre>\n
 \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1019\u103b\u1009\u103a\u1038\u1005\u1031\u102c\u1004\u103a\u1038<\/strong> \u1016\u103c\u1004\u1037\u103a \u1015\u102d\u102f\u1004\u103a\u1038\u1001\u103c\u102c\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs\/West', 'Spurs\/West', 'Nets\/East'],\n                   ' points<\/span> ': [112, 104, 127]})\n<\/span>\n#split team column into two columns\n<\/span>df[[' team<\/span> ', ' conference<\/span> ']] = df[' team<\/span> ']. str<\/span> . split<\/span> (' \/<\/span> ', 1<\/span> , expand= True<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n\tteam conference points\n0 Mavs West 112\n1 Spurs West 104\n2 Nets East 127<\/span><\/span><\/strong><\/pre>\n
 \u1024\u1021\u1011\u102c\u1038\u1021\u101e\u102d\u102f\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1001\u103c\u1004\u103a\u1038\u1016\u103c\u1004\u1037\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101c\u102d\u102f\u1001\u103b\u1004\u103a\u101e\u1031\u102c \u1000\u1014\u1037\u103a\u101e\u1010\u103a\u1001\u103b\u1000\u103a\u1016\u103c\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1001\u103d\u1032\u1014\u102d\u102f\u1004\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
 Pandas DataFrame \u1010\u103d\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1011\u100a\u1037\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas DataFrame \u1010\u103d\u1004\u103a Numpy array \u1000\u102d\u102f\u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1011\u100a\u1037\u103a\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
 Pandas DataFrame \u101b\u103e\u102d \u1021\u1010\u1014\u103a\u1038\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1000\u102d\u102f \u101b\u1031\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
pandas DataFrame \u1010\u103d\u1004\u103a string \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u101e\u102f\u1036\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b #split column A into two columns: column A and column B df[[‘ A ‘,’ B ‘]] = df[‘ A ‘]. str . split (‘ , ‘, 1 , expand= True ) \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- \u1000\u1031\u102c\u103a\u1019\u102c\u1016\u103c\u1004\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1015\u102d\u102f\u1004\u103a\u1038\u1015\u102b\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1000\u1031\u102c\u103a\u1019\u102c\u1010\u1005\u103a\u1001\u102f\u1021\u1015\u1031\u102b\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u104d […]<\/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 \u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u1014\u100a\u103a\u1038 - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a pandas DataFrame \u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u1014\u100a\u103a\u1038\u1000\u102d\u102f \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\/pandas-\u1000\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u1014\u100a\u103a\u1038 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a pandas DataFrame \u101b\u103e\u102d \u1005\u102c\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u102d\u102f\u1037 \u1001\u103d\u1032\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/my\/pandas-\u1000\u103d\u1032\u1000\u1031\u102c\u103a\u101c\u1036\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T08:36:25+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\" 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