{"id":4251,"date":"2023-07-12T13:01:14","date_gmt":"2023-07-12T13:01:14","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b8%82%e0%b8%99%e0%b8%b2%e0%b8%94%e0%b8%ae%e0%b8%b4%e0%b8%aa%e0%b9%82%e0%b8%95%e0%b9%81%e0%b8%81%e0%b8%a3%e0%b8%a1%e0%b8%82%e0%b8%ad%e0%b8%87%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2\/"},"modified":"2023-07-12T13:01:14","modified_gmt":"2023-07-12T13:01:14","slug":"%e0%b8%82%e0%b8%99%e0%b8%b2%e0%b8%94%e0%b8%ae%e0%b8%b4%e0%b8%aa%e0%b9%82%e0%b8%95%e0%b9%81%e0%b8%81%e0%b8%a3%e0%b8%a1%e0%b8%82%e0%b8%ad%e0%b8%87%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b8%82%e0%b8%99%e0%b8%b2%e0%b8%94%e0%b8%ae%e0%b8%b4%e0%b8%aa%e0%b9%82%e0%b8%95%e0%b9%81%e0%b8%81%e0%b8%a3%e0%b8%a1%e0%b8%82%e0%b8%ad%e0%b8%87%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e23\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e19\u0e38\u0e48\u0e19"},"content":{"rendered":"

<\/p>\n

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\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c figsize<\/b> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e23\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e17\u0e35\u0e48\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e43\u0e19\u0e2b\u0e21\u0e35\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n

 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#specify figure size (width, height)\n<\/span>fig = plt. figure<\/span> (figsize=(8,3))\nax = fig. gca<\/span> ()\n\n#create histogram using specified figure size\n<\/span>df[' my_column<\/span> ']. hist<\/span> (ax=ax)\n<\/strong><\/pre>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c figsize<\/b> \u0e43\u0e19\u0e17\u0e32\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34<\/span><\/p>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07: \u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e23\u0e39\u0e1b\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32<\/strong><\/span><\/h2>\n
 \u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35 DataFrame \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e14\u0e31\u0e07\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H',\n                              'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P'],\n                   ' points<\/span> ': [10, 12, 14, 15, 15, 15, 16, 17,\n                              19, 19, 24, 24, 28, 30, 34, 34]})\n\n#view first five rows of DataFrame\n<\/span>print<\/span> ( df.head<\/span> ())\n\n  player points\n0 to 10\n1 B 12\n2 C 14\n3 D 15\n4 E 15<\/span><\/strong><\/pre>\n
 \u0e2b\u0e32\u0e01\u0e40\u0e23\u0e32\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e08\u0e38\u0e14 \u0e2b\u0e21\u0e35\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e08\u0e30\u0e43\u0e0a\u0e49 6.4<\/strong> \u0e40\u0e1b\u0e47\u0e19 \u0e04\u0e27\u0e32\u0e21\u0e01\u0e27\u0e49\u0e32\u0e07<\/strong> \u0e02\u0e2d\u0e07\u0e23\u0e39\u0e1b\u0e42\u0e14\u0e22\u0e2d\u0e31\u0e15\u0e42\u0e19\u0e21\u0e31\u0e15\u0e34 \u0e41\u0e25\u0e30 4.8<\/strong> \u0e40\u0e1b\u0e47\u0e19 \u0e04\u0e27\u0e32\u0e21\u0e2a\u0e39\u0e07<\/strong> :<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create histogram for variable points\n<\/span>df[' points<\/span> ']. hist<\/span> (grid= False<\/span> ,edgecolor=' black<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e44\u0e23\u0e01\u0e47\u0e15\u0e32\u0e21 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c figsize<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e04\u0e27\u0e32\u0e21\u0e01\u0e27\u0e49\u0e32\u0e07\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e39\u0e07\u0e02\u0e2d\u0e07\u0e23\u0e39\u0e1b\u0e44\u0e14\u0e49:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#specify figure size (width, height)\n<\/span>fig = plt. figure<\/span> (figsize=(8,3))\nax = fig. gca<\/span> ()\n\n#create histogram using specified figure size\n<\/span>df[' points<\/span> ']. hist<\/span> ( grid= False<\/span> , edgecolor=' black<\/span> ',<\/span><\/span> ax=ax)<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e19\u0e35\u0e49\u0e21\u0e35 \u0e04\u0e27\u0e32\u0e21\u0e01\u0e27\u0e49\u0e32\u0e07<\/strong> 8<\/strong> \u0e41\u0e25\u0e30 \u0e2a\u0e39\u0e07<\/strong> 3<\/strong><\/span><\/p>\n
 \u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e40\u0e23\u0e32\u0e22\u0e31\u0e07\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c figsize<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e15\u0e31\u0e27\u0e40\u0e25\u0e02\u0e17\u0e35\u0e48\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e39\u0e07\u0e21\u0e32\u0e01\u0e01\u0e27\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e01\u0e27\u0e49\u0e32\u0e07:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#specify figure size (width, height)\n<\/span>fig = plt. figure<\/span> (figsize=(4,7))\nax = fig. gca<\/span> ()\n\n#create histogram using specified figure size\n<\/span>df[' points<\/span> ']. hist<\/span> ( grid= False<\/span> , edgecolor=' black<\/span> ',<\/span><\/span> ax=ax)<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e19\u0e35\u0e49\u0e21\u0e35 \u0e04\u0e27\u0e32\u0e21\u0e01\u0e27\u0e49\u0e32\u0e07<\/strong> 4<\/strong> \u0e41\u0e25\u0e30 \u0e04\u0e27\u0e32\u0e21\u0e2a\u0e39\u0e07<\/strong> 7<\/strong><\/span><\/p>\n
 \u0e2d\u0e22\u0e48\u0e32\u0e25\u0e31\u0e07\u0e40\u0e25\u0e17\u0e35\u0e48\u0e08\u0e30\u0e40\u0e25\u0e48\u0e19\u0e01\u0e31\u0e1a\u0e04\u0e48\u0e32\u0e02\u0e2d\u0e07\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c figsize<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e17\u0e35\u0e48\u0e21\u0e35\u0e02\u0e19\u0e32\u0e14\u0e17\u0e35\u0e48\u0e41\u0e19\u0e48\u0e19\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e04\u0e38\u0e13\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23<\/span><\/p>\n
 \u0e41\u0e2b\u0e25\u0e48\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e40\u0e15\u0e34\u0e21<\/strong><\/span><\/h2>\n
 \u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e17\u0e33\u0e07\u0e32\u0e19\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e43\u0e19\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n
 \u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e08\u0e32\u0e01 Pandas DataFrame<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e08\u0e32\u0e01\u0e0b\u0e35\u0e23\u0e35\u0e22\u0e4c Pandas<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1e\u0e25\u0e47\u0e2d\u0e15\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e15\u0e32\u0e21\u0e01\u0e25\u0e38\u0e48\u0e21\u0e43\u0e19 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c figsize \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e23\u0e48\u0e32 […]<\/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":[],"class_list":["post-4251","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\n\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e23\u0e48\u0e32\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21 Pandas - Statology<\/title>\n<meta name=\"description\" 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content=\"\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e23\u0e48\u0e32\u0e07\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21 Pandas - Statology\" \/>\n<meta property=\"og:description\" content=\"\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e15\u0e31\u0e27\u0e40\u0e25\u0e02\u0e43\u0e19\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e15\u0e48\u0e32\u0e07\u0e46\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/th\/\u0e02\u0e19\u0e32\u0e14\u0e2e\u0e34\u0e2a\u0e42\u0e15\u0e41\u0e01\u0e23\u0e21\u0e02\u0e2d\u0e07\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\/\" \/>\n<meta property=\"og:site_name\" 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