{"id":896,"date":"2023-07-28T09:27:40","date_gmt":"2023-07-28T09:27:40","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%a7%d9%84%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d8%a7%d9%95%d9%84%d9%89-%d8%aa%d8%a7%d8%b1%d9%8a%d8%ae-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7\/"},"modified":"2023-07-28T09:27:40","modified_gmt":"2023-07-28T09:27:40","slug":"%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%a7%d9%84%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d8%a7%d9%95%d9%84%d9%89-%d8%aa%d8%a7%d8%b1%d9%8a%d8%ae-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%a7%d9%84%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d8%a7%d9%95%d9%84%d9%89-%d8%aa%d8%a7%d8%b1%d9%8a%d8%ae-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0625\u0644\u0649 datetime \u0641\u064a pandas"},"content":{"rendered":"

<\/p>\n

\n

\u063a\u0627\u0644\u0628\u064b\u0627 \u0645\u0627 \u0642\u062f \u062a\u0643\u0648\u0646 \u0645\u0647\u062a\u0645\u064b\u0627 \u0628\u062a\u062d\u0648\u064a\u0644 \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0625\u0644\u0649 \u062a\u0646\u0633\u064a\u0642 DateTime. \u0648\u0644\u062d\u0633\u0646 \u0627\u0644\u062d\u0638\u060c \u0645\u0646 \u0627\u0644\u0633\u0647\u0644 \u0627\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 to_datetime()<\/a> .<\/span><\/p>\n

\u064a\u0648\u0636\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0644\u0649 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'event': ['A', 'B', 'C'],\n                   'start_date': ['20150601', '20160201', '20170401'],\n                   'end_date': ['20150608', '20160209', '20170416'] })\n\n#view DataFrame\n<\/span>df\n\n\tevent start_date end_date\n0 A 20150601 20150608\n1 B 20160201 20160209\n2 C 20170401 201704161\n\n#view column data types\n<\/span>df. dtypes\n\nevent object\nstart_date object\nend_date object\ndtype:object<\/span><\/span><\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 1: \u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0625\u0644\u0649 DateTime<\/span><\/strong><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0639\u0645\u0648\u062f “start_date” \u0645\u0646 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u062a\u0646\u0633\u064a\u0642 DateTime:<\/span><\/p>\n
 #convert start_date to DateTime format<\/span>\ndf['start_date'] = pd. to_datetime<\/span> (df['start_date'])\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 2015-06-01 20150608\n1 B 2016-02-01 20160209\n2 C 2017-04-01 20170416\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date object\ndtype:object<\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u062f\u0627\u0644\u0629 to_datetime()\u200e \u0630\u0643\u064a\u0629 \u0648\u064a\u0645\u0643\u0646\u0647\u0627 \u0639\u0627\u062f\u0629\u064b \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0635\u062d\u064a\u062d \u0627\u0644\u0645\u0637\u0644\u0648\u0628 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u060c \u0648\u0644\u0643\u0646 \u064a\u0645\u0643\u0646\u0643 \u0623\u064a\u0636\u064b\u0627 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0630\u064a \u0633\u064a\u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0645\u0639 \u0648\u0633\u064a\u0637\u0629 \u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/strong> :<\/span><\/p>\n
 #convert start_date to DateTime format<\/span>\ndf['start_date'] = pd. to_datetime<\/span> (df['start_date'], format=' %Y%m%d<\/span> ')\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 2015-06-01 20150608\n1 B 2016-02-01 20160209\n2 C 2017-04-01 20170416\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date object\ndtype:object<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 DateTime<\/span><\/strong><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 “start_date” \u0648”end_date” \u0645\u0646 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0625\u0644\u0649 \u062a\u0646\u0633\u064a\u0642\u0627\u062a DateTime:<\/span><\/p>\n
 #convert start_date and end_date to DateTime formats<\/span>\ndf[['start_date', 'end_date']] = df[['start_date', 'end_date']]. apply<\/span> (pd. to_datetime<\/span> )\n\n#view DataFrame\n<\/span>df\n\n\tevent start_date end_date\n0 A 2015-06-01 2015-06-08\n1 B 2016-02-01 2016-02-09\n2 C 2017-04-01 2017-04-16\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date datetime64[ns]\ndtype:object<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 3: \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0625\u0644\u0649 \u062a\u0646\u0633\u064a\u0642 DateTime \u0628\u0627\u0644\u062b\u0648\u0627\u0646\u064a<\/span><\/strong><\/h3>\n
 \u0641\u064a \u0628\u0639\u0636 \u0627\u0644\u062d\u0627\u0644\u0627\u062a\u060c \u0642\u062f \u064a\u0643\u0648\u0646 \u0644\u062f\u064a\u0643 \u0623\u064a\u0636\u064b\u0627 \u0623\u0639\u0645\u062f\u0629 \u062a\u062a\u0636\u0645\u0646 \u062a\u0627\u0631\u064a\u062e\u064b\u0627 \u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0627\u0644\u0633\u0627\u0639\u0627\u062a \u0648\u0627\u0644\u062f\u0642\u0627\u0626\u0642 \u0648\u0627\u0644\u062b\u0648\u0627\u0646\u064a\u060c \u0645\u062b\u0644 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 #createDataFrame<\/span>\ndf = pd.DataFrame({'event': ['A', 'B', 'C'],\n                   'start_date': ['20150601043000', '20160201054500', '20170401021215'],\n                   'end_date': ['20150608', '20160209', '20170416'] })\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 20150601043000 20150608\n1 B 20160201054500 20160209\n2 C 20170401021215 20170416\n<\/strong><\/pre>\n
 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649\u060c \u0627\u0644\u062f\u0627\u0644\u0629 to_datetime()\u200e \u0630\u0643\u064a\u0629 \u0648\u064a\u0645\u0643\u0646\u0647\u0627 \u0639\u0627\u062f\u0629 \u0627\u0633\u062a\u0646\u062a\u0627\u062c \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0635\u062d\u064a\u062d \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062f\u0648\u0646 \u0623\u0646 \u0646\u062d\u062f\u062f\u0647:<\/span><\/p>\n
 #convert start_date to DateTime format<\/span>\ndf['start_date'] = pd. to_datetime<\/span> (df['start_date'])\n\n#view DataFrame\n<\/span>df\n\n        event start_date end_date\n0 A 2015-06-01 04:30:00 20150608\n1 B 2016-02-01 05:45:00 20160209\n2 C 2017-04-01 02:12:15 20170416\n\n#view column date types\n<\/span>df. dtypes<\/span>\n\nevent object\nstart_date datetime64[ns]\nend_date object\ndtype:object<\/strong><\/pre>\n
 \u0628\u0627\u0644\u0637\u0628\u0639\u060c \u0645\u0646 \u0627\u0644\u0645\u062d\u062a\u0645\u0644 \u0623\u0646 \u062a\u0648\u0627\u062c\u0647 \u0645\u062c\u0645\u0648\u0639\u0629 \u0645\u062a\u0646\u0648\u0639\u0629 \u0645\u0646 \u062a\u0646\u0633\u064a\u0642\u0627\u062a DateTime \u0627\u0644\u063a\u0631\u064a\u0628\u0629\u060c \u0644\u0630\u0644\u0643 \u0642\u062f \u062a\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 \u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/strong> \u0644\u0625\u062e\u0628\u0627\u0631 Python \u0628\u0627\u0644\u0636\u0628\u0637 \u0639\u0646 \u062a\u0646\u0633\u064a\u0642 DateTime \u0627\u0644\u0630\u064a \u064a\u062c\u0628 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647.<\/span><\/p>\n
 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0627\u062a\u060c \u0642\u0645 \u0628\u0627\u0644\u0631\u062c\u0648\u0639 \u0625\u0644\u0649 \u0647\u0630\u0647 \u0627\u0644\u0635\u0641\u062d\u0629<\/a> \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0643\u0627\u0645\u0644\u0629<\/span> \u0628\u0639\u0648\u0627\u0645\u0644 %DateTime \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642\u0627\u062a.<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 DateTime \u0625\u0644\u0649 \u062a\u0627\u0631\u064a\u062e \u0641\u064a Pandas<\/a>
\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0625\u0644\u0649 \u062a\u0639\u0648\u064a\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u063a\u0627\u0644\u0628\u064b\u0627 \u0645\u0627 \u0642\u062f \u062a\u0643\u0648\u0646 \u0645\u0647\u062a\u0645\u064b\u0627 \u0628\u062a\u062d\u0648\u064a\u0644 \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0625\u0644\u0649 \u062a\u0646\u0633\u064a\u0642 DateTime. \u0648\u0644\u062d\u0633\u0646 \u0627\u0644\u062d\u0638\u060c \u0645\u0646 \u0627\u0644\u0633\u0647\u0644 \u0627\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 to_datetime() . \u064a\u0648\u0636\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0639\u0644\u0649 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a: import numpy as np import pandas as pd #createDataFrame df = pd.DataFrame({‘event’: [‘A’, ‘B’, ‘C’], ‘start_date’: [‘20150601’, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0625\u0644\u0649 DateTime \u0641\u064a Pandas \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u0634\u0631\u062d \u0628\u0633\u064a\u0637 \u0644\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 DataFrame \u0625\u0644\u0649 \u062a\u0646\u0633\u064a\u0642\u0627\u062a DateTime \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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