{"id":1936,"date":"2023-07-24T09:32:53","date_gmt":"2023-07-24T09:32:53","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%82%e1%80%bb%e1%80%ae%e1%80%a9%e1%80%99%e1%80%b1%e1%80%90%e1%80%bc%e1%80%ae-%e1%80%86%e1%80%ad%e1%80%af%e1%80%9e%e1%80%8a%e1%80%ba%e1%80%99%e1%80%be%e1%80%ac-%e1%80%85%e1%80%95%e1%80%ab%e1%80%b8\/"},"modified":"2023-07-24T09:32:53","modified_gmt":"2023-07-24T09:32:53","slug":"%e1%80%82%e1%80%bb%e1%80%ae%e1%80%a9%e1%80%99%e1%80%b1%e1%80%90%e1%80%bc%e1%80%ae-%e1%80%86%e1%80%ad%e1%80%af%e1%80%9e%e1%80%8a%e1%80%ba%e1%80%99%e1%80%be%e1%80%ac-%e1%80%85%e1%80%95%e1%80%ab%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%82%e1%80%bb%e1%80%ae%e1%80%a9%e1%80%99%e1%80%b1%e1%80%90%e1%80%bc%e1%80%ae-%e1%80%86%e1%80%ad%e1%80%af%e1%80%9e%e1%80%8a%e1%80%ba%e1%80%99%e1%80%be%e1%80%ac-%e1%80%85%e1%80%95%e1%80%ab%e1%80%b8\/","title":{"rendered":"Python \u1010\u103d\u1004\u103a geometric mean \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a)"},"content":{"rendered":"

<\/p>\n

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Python \u1010\u103d\u1004\u103a \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- SciPy \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([value1, value2, value3, ...])\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- NumPy \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\n    return<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean<\/span>\ng_mean([value1, value2, value3, ...])<\/span><\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1005\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u101e\u1031\u102c\u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038 \u1015\u103c\u1014\u103a\u101c\u102c\u1019\u100a\u103a\u1016\u103c\u1005\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1024\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 1- SciPy \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u104f array \u1010\u1005\u103a\u1001\u102f\u104f \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a SciPy<\/a> \u1005\u102c\u1000\u103c\u100a\u1037\u103a\u1010\u102d\u102f\u1000\u103a\u104f gmean()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \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\u101e\u100a\u103a-<\/span><\/p>\n
 from<\/span> scipy. stats<\/span> import<\/span> gmean\n\n#calculate geometric mean\n<\/span>gmean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029\n<\/strong><\/pre>\n
 \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1006\u102d\u102f\u101c\u102d\u102f\u101b\u1004\u103a\u1038\u1019\u103e\u102c 4.8179<\/strong> \u1016\u103c\u1005\u103a\u101e\u103d\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c 2- NumPy \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 NumPy<\/a> library \u104f built-in \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1006\u102d\u102f\u101c\u102d\u102f\u101b\u1004\u103a\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a\u1021\u1010\u103d\u1000\u103a \u1005\u102d\u1010\u103a\u1000\u103c\u102d\u102f\u1000\u103a\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1019\u103e\u102f\u1010\u1005\u103a\u1001\u102f\u1021\u102c\u1038 \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101b\u1031\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1000 \u101e\u101b\u102f\u1015\u103a\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define custom function\n<\/span>def<\/span> g_mean(x):\n    a = np. log<\/span> (x)\nreturn<\/span> np. exp<\/span> ( a.mean<\/span> ())\n\n#calculate geometric mean\n<\/span>g_mean([1, 4, 7, 6, 6, 4, 8, 9])\n\n4.81788719702029<\/span>\n<\/strong><\/pre>\n
 \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1006\u102d\u102f\u101c\u102d\u102f\u101b\u1004\u103a\u1038\u1019\u103e\u102c 4.8179<\/strong> \u1016\u103c\u1005\u103a\u101e\u103d\u102c\u1038\u101e\u100a\u103a\u104a \u104e\u1004\u103a\u1038\u101e\u100a\u103a \u101a\u1001\u1004\u103a\u1025\u1015\u1019\u102c\u1019\u103e \u101b\u101c\u1012\u103a\u1014\u103e\u1004\u1037\u103a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u101e\u102f\u100a\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1000\u102d\u102f\u1004\u103a\u1010\u103d\u101a\u103a\u1019\u101c\u1032\u104b<\/strong><\/span><\/h3>\n
 \u101e\u1004\u103a\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1014\u1031\u101e\u1031\u102c array \u1010\u103d\u1004\u103a \u101e\u102f\u100a\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u101e\u102f\u100a\u1000\u102d\u102f \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u1019\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1011\u102d\u102f\u1037\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a \u101e\u1004\u103a\u101e\u100a\u103a \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e \u1006\u102d\u102f\u101c\u102d\u102f\u101b\u1004\u103a\u1038\u1000\u102d\u102f \u1019\u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1019\u102e array \u1010\u1005\u103a\u1001\u102f\u1019\u103e \u101e\u102f\u100a\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u1021\u1015\u102d\u102f\u1004\u103a\u1038\u1021\u1005\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 #create array with some zeros\n<\/span>x = [1, 0, 0, 6, 6, 0, 8, 9]\n\n#remove zeros from array \n<\/span>x_new = [i for<\/span> i in<\/span> x if<\/span> i != 0]\n\n#view updated array\n<\/span>print<\/span> (x_new)\n\n[1, 6, 6, 8, 9]\n<\/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
 Python \u1010\u103d\u1004\u103a Mean Square Error (MSE) \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 Python \u1010\u103d\u1004\u103a Mean Absolute Error \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python \u1010\u103d\u1004\u103a \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- SciPy \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b from scipy. stats import gmean #calculate geometric mean gmean([value1, value2, value3, …]) \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- NumPy \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1015\u102b\u104b import numpy as np #define custom function def g_mean(x): a = np. log (x) return np. exp ( a.mean ()) #calculate […]<\/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":"\nPython \u1010\u103d\u1004\u103a Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a) - Statology<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a Python \u101b\u103e\u102d \u1001\u1004\u103a\u1038\u1000\u103b\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u104f \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\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\/\u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e-\u1006\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c-\u1005\u1015\u102b\u1038\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u1010\u103d\u1004\u103a Geometric Mean \u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038 (\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1016\u103c\u1004\u1037\u103a) - Statology\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a Python \u101b\u103e\u102d \u1001\u1004\u103a\u1038\u1000\u103b\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u104f \u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e\u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1021\u102c\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\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\/\u1002\u103b\u102e\u1029\u1019\u1031\u1010\u103c\u102e-\u1006\u102d\u102f\u101e\u100a\u103a\u1019\u103e\u102c-\u1005\u1015\u102b\u1038\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T09:32:53+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%82%e1%80%bb%e1%80%ae%e1%80%a9%e1%80%99%e1%80%b1%e1%80%90%e1%80%bc%e1%80%ae-%e1%80%86%e1%80%ad%e1%80%af%e1%80%9e%e1%80%8a%e1%80%ba%e1%80%99%e1%80%be%e1%80%ac-%e1%80%85%e1%80%95%e1%80%ab%e1%80%b8\/\",\"url\":\"https:\/\/statorials.org\/my\/%e1%80%82%e1%80%bb%e1%80%ae%e1%80%a9%e1%80%99%e1%80%b1%e1%80%90%e1%80%bc%e1%80%ae-%e1%80%86%e1%80%ad%e1%80%af%e1%80%9e%e1%80%8a%e1%80%ba%e1%80%99%e1%80%be%e1%80%ac-%e1%80%85%e1%80%95%e1%80%ab%e1%80%b8\/\",\"name\":\"Python 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