{"id":3741,"date":"2023-07-15T20:00:36","date_gmt":"2023-07-15T20:00:36","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b8%9a%e0%b8%a7%e0%b8%81%e0%b8%a5%e0%b8%9a%e0%b9%80%e0%b8%a7%e0%b8%a5%e0%b8%b2%e0%b8%a7%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%b5%e0%b9%88%e0%b9%81\/"},"modified":"2023-07-15T20:00:36","modified_gmt":"2023-07-15T20:00:36","slug":"%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b8%9a%e0%b8%a7%e0%b8%81%e0%b8%a5%e0%b8%9a%e0%b9%80%e0%b8%a7%e0%b8%a5%e0%b8%b2%e0%b8%a7%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%b5%e0%b9%88%e0%b9%81","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b9%81%e0%b8%9e%e0%b8%99%e0%b8%94%e0%b9%89%e0%b8%b2%e0%b8%9a%e0%b8%a7%e0%b8%81%e0%b8%a5%e0%b8%9a%e0%b9%80%e0%b8%a7%e0%b8%a5%e0%b8%b2%e0%b8%a7%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%b5%e0%b9%88%e0%b9%81\/","title":{"rendered":"Pandas: \u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\/\u0e25\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e40\u0e1b\u0e47\u0e19 datetime"},"content":{"rendered":"

<\/p>\n

\n

\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e23\u0e37\u0e2d\u0e25\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e08\u0e32\u0e01\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\/\u0e40\u0e27\u0e25\u0e32\u0e43\u0e19\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32:<\/span><\/p>\n

 #add time to datetime<\/span>\ndf[' new_datetime<\/span> '] = df[' my_datetime<\/span> '] + pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> )\n\n#subtract time from datetime<\/span>\ndf[' new_datetime<\/span> '] = df[' my_datetime<\/span> '] - pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> ) \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\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e19\u0e35\u0e49\u0e43\u0e19\u0e17\u0e32\u0e07\u0e1b\u0e0f\u0e34\u0e1a\u0e31\u0e15\u0e34<\/span><\/p>\n
 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07: \u0e40\u0e1e\u0e34\u0e48\u0e21\/\u0e25\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e40\u0e1b\u0e47\u0e19 Datetime \u0e43\u0e19 Pandas<\/strong><\/span><\/h2>\n
 \u0e2a\u0e21\u0e21\u0e15\u0e34\u0e27\u0e48\u0e32\u0e40\u0e23\u0e32\u0e21\u0e35 DataFrame \u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e0b\u0e36\u0e48\u0e07\u0e41\u0e2a\u0e14\u0e07\u0e22\u0e2d\u0e14\u0e02\u0e32\u0e22\u0e17\u0e35\u0e48\u0e17\u0e33\u0e42\u0e14\u0e22\u0e23\u0e49\u0e32\u0e19\u0e04\u0e49\u0e32\u0e43\u0e19\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\u0e41\u0e25\u0e30\u0e40\u0e27\u0e25\u0e32\u0e17\u0e35\u0e48\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e01\u0e31\u0e19 10 \u0e41\u0e2b\u0e48\u0e07:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' time<\/span> ': pd.date_range<\/span> (' 2022-01-01<\/span> ', periods= 10<\/span> ),\n                   ' sales<\/span> ': [14, 22, 25, 29, 31, 10, 12, 8, 22, 25]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n        time sales\n0 2022-01-01 14\n1 2022-01-02 22\n2 2022-01-03 25\n3 2022-01-04 29\n4 2022-01-05 31\n5 2022-01-06 10\n6 2022-01-07 12\n7 2022-01-08 8\n8 2022-01-09 22\n9 2022-01-10 25<\/span><\/span><\/strong><\/pre>\n
 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 pandas Timedelta<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21 5 \u0e0a\u0e31\u0e48\u0e27\u0e42\u0e21\u0e07 10 \u0e19\u0e32\u0e17\u0e35 \u0e41\u0e25\u0e30 3 \u0e27\u0e34\u0e19\u0e32\u0e17\u0e35\u0e43\u0e2b\u0e49\u0e01\u0e31\u0e1a\u0e41\u0e15\u0e48\u0e25\u0e30\u0e04\u0e48\u0e32 datetime \u0e43\u0e19\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c “time”:<\/span><\/p>\n
 #create new column that contains time + 5 hours, 10 minutes, 3 seconds\n<\/span>df[' time_plus_some<\/span> '] = df[' time<\/span> '] + pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n        time sales time_plus_some\n0 2022-01-01 14 2022-01-01 05:10:03\n1 2022-01-02 22 2022-01-02 05:10:03\n2 2022-01-03 25 2022-01-03 05:10:03\n3 2022-01-04 29 2022-01-04 05:10:03\n4 2022-01-05 31 2022-01-05 05:10:03\n5 2022-01-06 10 2022-01-06 05:10:03\n6 2022-01-07 12 2022-01-07 05:10:03\n7 2022-01-08 8 2022-01-08 05:10:03\n8 2022-01-09 22 2022-01-09 05:10:03\n9 2022-01-10 25 2022-01-10 05:10:03<\/span><\/span><\/strong><\/pre>\n
 \u0e41\u0e25\u0e30\u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e43\u0e2b\u0e21\u0e48\u0e17\u0e35\u0e48\u0e25\u0e1a 5 \u0e0a\u0e31\u0e48\u0e27\u0e42\u0e21\u0e07 10 \u0e19\u0e32\u0e17\u0e35 \u0e41\u0e25\u0e30 3 \u0e27\u0e34\u0e19\u0e32\u0e17\u0e35\u0e2d\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e04\u0e48\u0e32\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\u0e41\u0e25\u0e30\u0e40\u0e27\u0e25\u0e32\u0e41\u0e15\u0e48\u0e25\u0e30\u0e04\u0e48\u0e32\u0e43\u0e19\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c “\u0e40\u0e27\u0e25\u0e32” \u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e14\u0e32\u0e22\u0e40\u0e0a\u0e48\u0e19\u0e40\u0e14\u0e35\u0e22\u0e27\u0e01\u0e31\u0e19:<\/span><\/span><\/p>\n
 #create new column that contains time - 5 hours, 10 minutes, 3 seconds\n<\/span>df[' time_minus_some<\/span> '] = df[' time<\/span> '] - pd. Timedelta<\/span> (hours= 5<\/span> , minutes= 10<\/span> , seconds= 3<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n        time sales time_minus_some\n0 2022-01-01 14 2021-12-31 18:49:57\n1 2022-01-02 22 2022-01-01 18:49:57\n2 2022-01-03 25 2022-01-02 18:49:57\n3 2022-01-04 29 2022-01-03 18:49:57\n4 2022-01-05 31 2022-01-04 18:49:57\n5 2022-01-06 10 2022-01-05 18:49:57\n6 2022-01-07 12 2022-01-06 18:49:57\n7 2022-01-08 8 2022-01-07 18:49:57\n8 2022-01-09 22 2022-01-08 18:49:57\n9 2022-01-10 25 2022-01-09 18:49:57\n<\/span><\/span><\/strong><\/pre>\n
 \u0e2b\u0e21\u0e32\u0e22\u0e40\u0e2b\u0e15\u0e38 #1<\/strong> : \u0e43\u0e19\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e2b\u0e25\u0e48\u0e32\u0e19\u0e35\u0e49 \u0e40\u0e23\u0e32\u0e43\u0e0a\u0e49\u0e08\u0e33\u0e19\u0e27\u0e19\u0e0a\u0e31\u0e48\u0e27\u0e42\u0e21\u0e07 \u0e19\u0e32\u0e17\u0e35 \u0e41\u0e25\u0e30\u0e27\u0e34\u0e19\u0e32\u0e17\u0e35\u0e17\u0e35\u0e48\u0e23\u0e30\u0e1a\u0e38 \u0e41\u0e15\u0e48\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e40\u0e2b\u0e25\u0e48\u0e32\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e35\u0e22\u0e07\u0e2b\u0e19\u0e48\u0e27\u0e22\u0e40\u0e14\u0e35\u0e22\u0e27\u0e44\u0e14\u0e49\u0e2b\u0e32\u0e01\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23 \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e48\u0e19 \u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e23\u0e30\u0e1a\u0e38 pd.Timedelta(hours=5)<\/strong> \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e49\u0e32\u0e0a\u0e31\u0e48\u0e27\u0e42\u0e21\u0e07\u0e43\u0e2b\u0e49\u0e01\u0e31\u0e1a\u0e04\u0e48\u0e32\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\u0e41\u0e25\u0e30\u0e40\u0e27\u0e25\u0e32<\/span><\/p>\n
 \u0e2b\u0e21\u0e32\u0e22\u0e40\u0e2b\u0e15\u0e38 #2<\/strong> : \u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e49\u0e19\u0e2b\u0e32\u0e40\u0e2d\u0e01\u0e2a\u0e32\u0e23\u0e09\u0e1a\u0e31\u0e1a\u0e40\u0e15\u0e47\u0e21\u0e02\u0e2d\u0e07\u0e1f\u0e31\u0e07\u0e01\u0e4c\u0e0a\u0e31\u0e19 pandas Timedelta<\/strong> \u0e44\u0e14\u0e49\u0e17\u0e35\u0e48\u0e19\u0e35\u0e48<\/a><\/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\u0e41\u0e1b\u0e25\u0e07 Timedelta \u0e40\u0e1b\u0e47\u0e19 Int \u0e43\u0e19 Pandas<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07 DateTime \u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e15\u0e23\u0e34\u0e07\u0e43\u0e19 Pandas<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e41\u0e1b\u0e25\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e17\u0e31\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e40\u0e1b\u0e47\u0e19\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\/\u0e40\u0e27\u0e25\u0e32\u0e43\u0e19 Pandas<\/a>
 \u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e04\u0e2d\u0e25\u0e31\u0e21\u0e19\u0e4c\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\u0e08\u0e32\u0e01\u0e1b\u0e35 \u0e40\u0e14\u0e37\u0e2d\u0e19 \u0e41\u0e25\u0e30\u0e27\u0e31\u0e19\u0e43\u0e19 Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0e04\u0e38\u0e13\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e44\u0e27\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1e\u0e37\u0e49\u0e19\u0e10\u0e32\u0e19\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2b\u0e23\u0e37\u0e2d\u0e25\u0e1a\u0e40\u0e27\u0e25\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-3741","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\nPandas: \u0e27\u0e34\u0e18\u0e35\u0e40\u0e1e\u0e34\u0e48\u0e21\/\u0e25\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e40\u0e1b\u0e47\u0e19 Datetime - Statorials<\/title>\n<meta name=\"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\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e41\u0e25\u0e30\u0e25\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e08\u0e32\u0e01\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\/\u0e40\u0e27\u0e25\u0e32\u0e43\u0e19 Pandas \u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\" \/>\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\/th\/\u0e41\u0e1e\u0e19\u0e14\u0e49\u0e32\u0e1a\u0e27\u0e01\u0e25\u0e1a\u0e40\u0e27\u0e25\u0e32\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48\u0e41\/\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: 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