{"id":1833,"date":"2023-07-24T19:35:50","date_gmt":"2023-07-24T19:35:50","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%9d%e1%80%80%e1%80%ba%e1%80%9d%e1%80%b6\/"},"modified":"2023-07-24T19:35:50","modified_gmt":"2023-07-24T19:35:50","slug":"%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%9d%e1%80%80%e1%80%ba%e1%80%9d%e1%80%b6","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%9d%e1%80%80%e1%80%ba%e1%80%9d%e1%80%b6\/","title":{"rendered":"Pandas \u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)"},"content":{"rendered":"

<\/p>\n

\n

\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1021\u101c\u101a\u103a\u1017\u101f\u102d\u102f\u1000\u102d\u102f \u101b\u103e\u102c\u101b\u1014\u103a \u101e\u1004\u103a\u101e\u100a\u103a median()<\/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\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

 #find median value in specific column\ndf[' column1<\/span> ']. median<\/span> ()<\/span>\n\n#find median value in several columns\ndf[[' column1<\/span> ', ' column2<\/span> ']]. median<\/span> ()\n\n<\/span>#find median value in every numeric column\ndf. median<\/span> ()<\/span>\n<\/span><\/strong><\/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\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038 DataFrame \u1016\u103c\u1004\u1037\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #createDataFrame\ndf = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [25, pd. NA<\/span> , 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})<\/span>\n\n#view DataFrame\ndf\n\n\tplayer points assists rebounds\n0 to 25 5 11\n1 B NA 7 8\n2 C 15 7 10\n3 D 14 9 6\n4 E 19 12 6\n5 F 23 9 5\n6 G 25 9 9\n7:29 4 12<\/span><\/span><\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u104f \u1021\u101c\u101a\u103a\u1017\u101f\u102d\u102f\u1000\u102d\u102f \u101b\u103e\u102c\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #find median value of points<\/em> column\ndf[' points<\/span> ']. median<\/span> ()\n\n23.0<\/span><\/span><\/strong><\/pre>\n
 \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a 23<\/strong> \u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1015\u102f\u1036\u1019\u103e\u1014\u103a\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a\u104a median()<\/strong> function \u101e\u100a\u103a median \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101e\u1031\u102c\u1021\u1001\u102b\u1010\u103d\u1004\u103a \u1015\u103b\u1031\u102c\u1000\u103a\u1006\u102f\u1036\u1038\u1014\u1031\u101e\u1031\u102c \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u101c\u103b\u1005\u103a\u101c\u103b\u1030\u101b\u103e\u102f\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u104f \u1021\u101c\u101a\u103a\u1021\u101c\u1010\u103a\u1000\u102d\u102f \u101b\u103e\u102c\u1016\u103d\u1031\u1001\u103c\u1004\u103a\u1038\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #find median value of points<\/em> and rebounds<\/em> columns\ndf[[' points<\/span> ', ' rebounds<\/span> ']]. median<\/span> ()\n\npoints 23.0\nrebounds 8.5\ndtype:float64<\/span><\/span><\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 3- \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u104f \u1021\u101c\u101a\u103a\u1017\u101f\u102d\u102f\u1000\u102d\u102f \u101b\u103e\u102c\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d \u1002\u100f\u1014\u103a\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u103e\u102c\u1016\u103d\u1031\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #find median value of all numeric columns\ndf. median<\/span> ()\n\npoints 23.0\nassists 8.0\nrebounds 8.5\ndtype:float64<\/span><\/span><\/strong><\/pre>\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 \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1015\u1031\u102b\u1004\u103a\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Pandas \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1021\u1019\u103c\u1004\u1037\u103a\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u103e\u102c\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/p>\n","protected":false},"excerpt":{"rendered":"
\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u104f \u1021\u101c\u101a\u103a\u1017\u101f\u102d\u102f\u1000\u102d\u102f \u101b\u103e\u102c\u101b\u1014\u103a \u101e\u1004\u103a\u101e\u100a\u103a median() \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b #find median value in specific column df[‘ column1 ‘]. median () #find median value in several columns df[[‘ column1 ‘, ‘ column2 ‘]]. median () #find median value in every numeric column df. median () \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\u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038 DataFrame \u1016\u103c\u1004\u1037\u103a \u1024\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a- […]<\/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 \u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)<\/title>\n<meta name=\"description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\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\u101d\u1000\u103a\u101d\u1036\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas \u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)\" \/>\n<meta property=\"og:description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\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\u101d\u1000\u103a\u101d\u1036\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T19:35:50+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%9d%e1%80%80%e1%80%ba%e1%80%9d%e1%80%b6\/\",\"url\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%94%e1%80%ba%e1%80%92%e1%80%ab%e1%80%9d%e1%80%80%e1%80%ba%e1%80%9d%e1%80%b6\/\",\"name\":\"Pandas \u1010\u103d\u1004\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038 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