{"id":4296,"date":"2023-07-12T05:01:09","date_gmt":"2023-07-12T05:01:09","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%81%d9%8a-%d8%aa%d9%86%d8%b3%d9%8a%d9%82-%d8%a7%d9%84%d8%aa%d8%a7%d8%b1%d9%8a%d8%ae-%d9%88%d8%a7%d9%84%d9%88%d9%82%d8%aa\/"},"modified":"2023-07-12T05:01:09","modified_gmt":"2023-07-12T05:01:09","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%81%d9%8a-%d8%aa%d9%86%d8%b3%d9%8a%d9%82-%d8%a7%d9%84%d8%aa%d8%a7%d8%b1%d9%8a%d8%ae-%d9%88%d8%a7%d9%84%d9%88%d9%82%d8%aa","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%81%d9%8a-%d8%aa%d9%86%d8%b3%d9%8a%d9%82-%d8%a7%d9%84%d8%aa%d8%a7%d8%b1%d9%8a%d8%ae-%d9%88%d8%a7%d9%84%d9%88%d9%82%d8%aa\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0641\u064a pandas.to_datetime"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>pandas.to_datetime()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u062a\u0627\u0631\u064a\u062e \u0648\u0648\u0642\u062a \u0641\u064a pandas DataFrame.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 <strong>\u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/strong> \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0630\u064a \u064a\u0648\u062c\u062f \u0628\u0647 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u062e\u0627\u0635 \u0628\u0643 \u0644\u062a\u062c\u0646\u0628 \u0627\u0644\u0623\u062e\u0637\u0627\u0621 \u0639\u0646\u062f \u062a\u062d\u0648\u064a\u0644\u0647 \u0645\u0646 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0648\u0642\u062a \u0627\u0644\u062a\u0627\u0631\u064a\u062e.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0633\u062a\u062e\u062f\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">datetime<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">my_date_column<\/span> '], format=' <span style=\"color: #ff0000;\">%m%d%Y %H:%M:%S<\/span> '])\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0627\u0644\u062a\u0648\u062c\u064a\u0647\u0627\u062a \u0627\u0644\u0623\u0643\u062b\u0631 \u0634\u064a\u0648\u0639\u064b\u0627 \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646\u0643 \u062a\u0642\u062f\u064a\u0645\u0647\u0627 \u0625\u0644\u0649 \u0648\u0633\u064a\u0637\u0629 <strong>\u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/strong> :<\/span><\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%m<\/strong> : \u0627\u0644\u0634\u0647\u0631 \u0643\u0631\u0642\u0645 \u0628\u0635\u0641\u0631 (01\u060c 02\u060c \u2026 12)<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%d<\/strong> : \u064a\u0648\u0645 \u0627\u0644\u0634\u0647\u0631 \u0643\u0631\u0642\u0645 \u0628\u0635\u0641\u0631 (01\u060c 02\u060c \u2026 31)<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%y<\/strong> : \u0627\u0644\u0633\u0646\u0629 \u0645\u0639 \u0627\u0644\u0642\u0631\u0646 \u0643\u0631\u0642\u0645 (2020\u060c 2021\u060c 2022\u060c \u0625\u0644\u062e.)<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%H<\/strong> : \u0627\u0644\u0633\u0627\u0639\u0629 (\u0646\u0638\u0627\u0645 24 \u0633\u0627\u0639\u0629) \u0643\u0631\u0642\u0645 \u0645\u0628\u0637\u0646 \u0628\u0627\u0644\u0623\u0635\u0641\u0627\u0631 (00\u060c 01\u060c \u2026 23)<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%I<\/strong> : \u0627\u0644\u0648\u0642\u062a (\u0633\u0627\u0639\u0629 12 \u0633\u0627\u0639\u0629) \u0643\u0631\u0642\u0645 \u0645\u0628\u0637\u0646 \u0628\u0627\u0644\u0623\u0635\u0641\u0627\u0631 (01\u060c 02\u060c &#8230; 12)<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%p<\/strong> : \u0625\u0645\u0627 \u0635\u0628\u0627\u062d\u064b\u0627 \u0623\u0648 \u0645\u0633\u0627\u0621\u064b<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%M<\/strong> : \u0627\u0644\u062f\u0642\u064a\u0642\u0629 \u0639\u0644\u0649 \u0634\u0643\u0644 \u0631\u0642\u0645 \u0645\u0643\u062a\u0645\u0644 \u0628\u0627\u0644\u0623\u0635\u0641\u0627\u0631 (00\u060c 01\u060c \u2026 59)<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>%S<\/strong> : \u0627\u0644\u062b\u0627\u0646\u064a\u0629 \u0639\u0644\u0649 \u0634\u0643\u0644 \u0631\u0642\u0645 \u0645\u0643\u062a\u0645\u0644 \u0628\u0627\u0644\u0623\u0635\u0641\u0627\u0631 (00\u060c 01\u060c \u2026 59)<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0643\u0627\u0645\u0644\u0629 \u0645\u0646 \u0627\u0644\u0625\u0631\u0634\u0627\u062f\u0627\u062a\u060c \u0631\u0627\u062c\u0639 <a href=\"https:\/\/docs.python.org\/3\/library\/datetime.html#strftime-and-strptime-behavior\" target=\"_blank\" rel=\"noopener\">\u0647\u0630\u0647 \u0627\u0644\u0635\u0641\u062d\u0629<\/a> .<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 <strong>\u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/strong> \u0641\u064a \u0627\u0644\u062f\u0627\u0644\u0629 <strong>to_datetime()<\/strong> \u0641\u064a \u0633\u064a\u0646\u0627\u0631\u064a\u0648\u0647\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644: \u062d\u062f\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0641\u064a pandas.to_datetime<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0625\u062c\u0645\u0627\u0644\u064a \u0627\u0644\u0645\u0628\u064a\u0639\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0645\u062a \u0641\u064a \u062a\u0648\u0627\u0631\u064a\u062e \u0645\u062e\u062a\u0644\u0641\u0629 \u0641\u064a \u0645\u062a\u062c\u0631 \u0628\u064a\u0639 \u0628\u0627\u0644\u062a\u062c\u0632\u0626\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<span style=\"color: #000000;\">\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': ['10012023 4:15:30', '10042023 7:16:04', '10062023 9:25:00',\n                            '10142023 15:30:50', '10152023 18:15:00'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [100, 140, 235, 120, 250]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n                dirty dates\n0 10012023 4:15:30 100\n1 10042023 7:16:04 140\n2 10062023 9:25:00 235\n3 10142023 15:30:50 120\n4 10152023 18:15:00 250\n\n<span style=\"color: #008080;\">#view data type of each column in DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.dtypes<\/span> )\n\ndate object\ndirty int64\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong> \u0647\u0648 \u062d\u0627\u0644\u064a\u064b\u0627 \u0639\u0645\u0648\u062f \u0633\u0644\u0633\u0644\u0629 (\u0623\u064a \u0643\u0627\u0626\u0646).<\/span><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646\u0646\u0627 \u0646\u062d\u0627\u0648\u0644 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 <strong>pandas.to_datetime()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0647\u0630\u0627 \u0627\u0644\u0639\u0645\u0648\u062f \u0625\u0644\u0649 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#attempt to convert date column to datetime format\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">date<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '])\n\nParserError: month must be in 1..12: 10012023 4:15:30 present at position 0<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0646\u062a\u0644\u0642\u0649 \u062e\u0637\u0623 \u0644\u0623\u0646 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>pandas.to_datetime()<\/strong> \u0644\u0627 \u062a\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong> \u062d\u0627\u0644\u064a\u064b\u0627.<\/span><\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 <b>\u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/b> \u0644\u062a\u062d\u062f\u064a\u062f \u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0639\u0645\u0648\u062f:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#convert date column to datetime format\n<\/span>df[' <span style=\"color: #ff0000;\">date<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> '], format=' <span style=\"color: #ff0000;\">%m%d%Y %H:%M:%S<\/span> ')\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n                 dirty dates\n0 2023-10-01 04:15:30 100\n1 2023-10-04 07:16:04 140\n2 2023-10-06 09:25:00 235\n3 2023-10-14 15:30:50 120\n4 2023-10-15 18:15:00 250\n\n<span style=\"color: #008080;\">#view updated type of each column\n<\/span><span style=\"color: #008000;\">print<\/span> ( <span style=\"color: #3366ff;\">df.dtypes<\/span> )\n\ndate datetime64[ns]\ndirty int64\ndtype:object<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646\u0647 \u062a\u0645 \u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong> \u0628\u0646\u062c\u0627\u062d \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0648\u0627\u0644\u0648\u0642\u062a \u0648\u0644\u0645 \u0646\u062a\u0644\u0642 \u0623\u064a \u0623\u062e\u0637\u0627\u0621 \u0644\u0623\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 \u0648\u0633\u064a\u0637\u0629 <strong>\u0627\u0644\u062a\u0646\u0633\u064a\u0642<\/strong> \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u062f\u0642\u064a\u0642 \u0627\u0644\u0630\u064a \u0643\u0627\u0646 \u0628\u0647 \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong> .<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0644\u0648\u0638\u064a\u0641\u0629 pandas <strong>to_datetime()<\/strong> <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.to_datetime.html\" target=\"_blank\" rel=\"noopener\">\u0647\u0646\u0627<\/a> .<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0646\u0637\u0627\u0642-\u0627\u0644\u0632\u0645\u0646\u064a-\u0627\u0644\u0628\u0627\u0646\u062f\u0627\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0646\u0637\u0627\u0642 \u0632\u0645\u0646\u064a \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u0637\u0627\u0628\u0639-\u0627\u0644\u0632\u0645\u0646\u064a-\u0627\u0644\u062a\u0627\u0631\u064a\u062e-\u0627\u0644\u0648\u0642\u062a\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0637\u0627\u0628\u0639 \u0627\u0644\u0632\u0645\u0646\u064a \u0625\u0644\u0649 \u0627\u0644\u062a\u0627\u0631\u064a\u062e\/\u0627\u0644\u0648\u0642\u062a \u0641\u064a Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u062e\u062a\u0644\u0627\u0641-\u062a\u0627\u0631\u064a\u062e-\u0627\u0644\u0628\u0627\u0646\u062f\u0627\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u062a\u0627\u0631\u064a\u062e\u064a\u0646 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 pandas.to_datetime() \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u062a\u0627\u0631\u064a\u062e \u0648\u0648\u0642\u062a \u0641\u064a pandas DataFrame. \u0639\u0646\u062f \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0633\u064a\u0637\u0629 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0644\u062a\u062d\u062f\u064a\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0630\u064a \u064a\u0648\u062c\u062f \u0628\u0647 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u062e\u0627\u0635 \u0628\u0643 \u0644\u062a\u062c\u0646\u0628 \u0627\u0644\u0623\u062e\u0637\u0627\u0621 \u0639\u0646\u062f \u062a\u062d\u0648\u064a\u0644\u0647 \u0645\u0646 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0648\u0642\u062a \u0627\u0644\u062a\u0627\u0631\u064a\u062e. \u062a\u0633\u062a\u062e\u062f\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a: df[&#8216; datetime &#8216;] = pd. to_datetime (df[&#8216; my_date_column &#8216;], [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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